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SEG/Multi_tissue_gene_expr.ldcts

@@ -0,0 +1,205 @@
+Adipose_Subcutaneous	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.1.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Adipose_Visceral_(Omentum)	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.2.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Adrenal_Gland	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.3.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Artery_Aorta	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.4.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Artery_Coronary	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.5.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Artery_Tibial	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.6.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Bladder	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.7.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Brain_Amygdala	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.8.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Brain_Anterior_cingulate_cortex_(BA24)	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.9.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Brain_Caudate_(basal_ganglia)	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.10.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Brain_Cerebellar_Hemisphere	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.11.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Brain_Cerebellum	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.12.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Brain_Cortex	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.13.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Brain_Frontal_Cortex_(BA9)	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.14.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Brain_Hippocampus	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.15.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Brain_Hypothalamus	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.16.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Brain_Nucleus_accumbens_(basal_ganglia)	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.17.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Brain_Putamen_(basal_ganglia)	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.18.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Brain_Spinal_cord_(cervical_c-1)	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.19.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Brain_Substantia_nigra	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.20.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Breast_Mammary_Tissue	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.21.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Cells_EBV-transformed_lymphocytes	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.22.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Cells_Transformed_fibroblasts	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.23.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Cervix_Ectocervix	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.24.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Cervix_Endocervix	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.25.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Colon_Sigmoid	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.26.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Colon_Transverse	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.27.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Esophagus_Gastroesophageal_Junction	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.28.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Esophagus_Mucosa	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.29.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Esophagus_Muscularis	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.30.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Fallopian_Tube	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.31.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Heart_Atrial_Appendage	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.32.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Heart_Left_Ventricle	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.33.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Kidney_Cortex	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.34.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Liver	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.35.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Lung	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.36.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Minor_Salivary_Gland	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.37.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Muscle_Skeletal	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.38.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Nerve_Tibial	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.39.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Ovary	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.40.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Pancreas	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.41.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Pituitary	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.42.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Prostate	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.43.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Skin_Not_Sun_Exposed_(Suprapubic)	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.44.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Skin_Sun_Exposed_(Lower_leg)	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.45.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Small_Intestine_Terminal_Ileum	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.46.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Spleen	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.47.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Stomach	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.48.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Testis	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.49.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Thyroid	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.50.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Uterus	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.51.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Vagina	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.52.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+Whole_Blood	Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.53.,Multi_tissue_gene_expr_1000Gv3_ldscores/GTEx.control.
+A06.407.071.140.Adrenal.Cortex	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.1.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A06.407.071.Adrenal.Glands	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.2.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A07.541.510.110.Aortic.Valve	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.3.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A07.231.114.Arteries	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.4.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.118.637.555.567.562.B.Lymphocytes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.5.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.730.885.287.249.Basal.Ganglia	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.6.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.378.316.Bone.Marrow.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.7.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A07.231.Blood.Vessels	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.8.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.145.Blood	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.9.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.145.229.188.Blood.Platelets	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.10.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.145.229.Blood.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.11.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.810.890.Urinary.Bladder	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.12.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.132.Brain.Stem	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.13.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.Brain	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.14.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.132.810.428.200.Cerebellum	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.15.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.730.885.287.500.Cerebral.Cortex	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.16.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A02.165.Cartilage	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.17.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.249.249.209.Cecum	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.18.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.615.284.473.Chorion	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.19.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A02.835.232.834.151.Cervical.Vertebrae	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.20.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.360.319.679.256.Cervix.Uteri	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.21.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.249.249.356.Colon	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.22.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.165.450.300.Cicatrix	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.23.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.730.885.287.249.487.Corpus.Striatum	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.24.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.329.Connective.Tissue.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.25.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A14.549.167.Dentition	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.26.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.382.812.260.Dendritic.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.27.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.730.317.Diencephalon	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.28.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.272.Epithelium	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.29.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.436.Epithelial.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.30.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.272.497.Epidermis	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.31.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.875.500.Esophagus	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.32.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.360.319.679.490.Endometrium	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.33.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A06.407.Endocrine.Glands	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.34.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.730.885.287.500.270.Frontal.Lobe	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.35.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A09.371.Eye	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.36.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.360.319.114.373.Fallopian.Tubes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.37.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.145.300.Fetal.Blood	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.38.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.329.228.Fibroblasts	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.39.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A06.407.312.Gonads	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.40.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.436.329.Granulosa.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.41.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.360.490.Germ.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.42.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.360.Genitalia	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.43.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.360.319.Genitalia..Female	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.44.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.360.444.Genitalia..Male	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.45.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.464.405.Hippocampus	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.46.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A07.541.Heart	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.47.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A07.541.358.Heart.Atria	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.48.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A07.541.560.Heart.Ventricles	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.49.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.872.378.Hematopoietic.Stem.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.50.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.249.124.Ileum	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.51.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.382.Immune.System	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.52.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.730.317.357.Hypothalamus	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.53.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.730.317.357.352.435.Hypothalamo.Hypophyseal.System	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.54.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.165.450.300.425.Keloid	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.55.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.810.453.Kidney	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.56.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.810.453.324.Kidney.Cortex	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.57.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.382.490.555.567.537.Killer.Cells..Natural	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.58.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.734.414.Islets.of.Langerhans	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.59.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.124.684.Intestine..Small	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.60.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.124.Intestines	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.61.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.124.369.Intestinal.Mucosa	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.62.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.382.812.522.Macrophages	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.63.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.382.490.555.567.622.Lymphocytes..Null	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.64.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.382.490.555.567.Lymphocytes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.65.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.549.Lymphoid.Tissue	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.66.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.549.400.Lymph.Nodes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.67.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A04.411.Lung	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.68.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.620.Liver	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.69.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.464.Limbic.System	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.70.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.145.229.637.555.Leukocytes..Mononuclear	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.71.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.118.637.Leukocytes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.72.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.653.Mesencephalon	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.73.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.615.Membranes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.74.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.382.490.315.583.Neutrophils	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.75.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.497.497.600.Oocytes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.76.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.329.629.Osteoblasts	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.77.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A14.549.Mouth	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.78.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.615.550.599.Mouth.Mucosa	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.79.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.378.316.580.Monocytes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.80.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.360.319.679.690.Myometrium	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.81.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.615.550.Mucous.Membrane	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.82.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.690.467.Muscle..Smooth	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.83.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.690.Muscles	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.84.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A14.724.557.Nasopharynx	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.85.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A04.531.520.Nasal.Mucosa	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.86.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.145.229.637.555.567.562.725.Plasma.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.87.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.360.319.114.630.Ovary	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.88.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.734.Pancreas	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.89.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.730.885.287.500.670.Parietal.Lobe	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.90.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.500.760.464.Parotid.Gland	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.91.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A14.549.167.646.Periodontium	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.92.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.382.680.Phagocytes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.93.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A14.724.Pharynx	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.94.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.382.812.Mononuclear.Phagocyte.System	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.95.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A09.371.729.Retina	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.96.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.124.526.767.Rectum	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.97.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.336.707.Prostate	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.98.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A17.815.Skin	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.99.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.875.875.Stomach	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.100.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.382.520.604.700.Spleen	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.101.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.872.Stem.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.102.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.500.760.Salivary.Glands	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.103.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.249.249.356.668.Colon..Sigmoid	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.104.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.615.789.Serous.Membrane	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.105.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A06.407.900.Thyroid.Gland	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.106.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.382.520.604.800.Palatine.Tonsil	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.107.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A14.549.885.Tongue	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.108.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A06.407.312.782.Testis	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.109.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.118.637.555.567.569.T.Lymphocytes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.110.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A02.835.583.443.800.Synovial.Membrane	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.111.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A02.835.583.443.800.800.Synovial.Fluid	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.112.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.360.319.887.Vulva	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.113.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.730.885.287.500.571.735.Visual.Cortex	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.114.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A07.231.908.670.874.Umbilical.Veins	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.115.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.360.319.679.Uterus	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.116.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A07.231.908.Veins	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.117.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.436.397.Keratinocytes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.118.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.145.229.637.555.567.569.200.CD4.Positive.T.Lymphocytes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.119.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.329.114.Adipocytes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.120.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.329.830.Stromal.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.121.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.329.372.600.Macrophages..Alveolar	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.122.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.329.171.Chondrocytes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.123.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.464.710.225.Entorhinal.Cortex	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.124.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.436.348.Hepatocytes	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.125.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.627.635.Myeloid.Progenitor.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.126.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A08.186.211.865.428.Metencephalon	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.127.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A07.541.358.100.Atrial.Appendage	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.128.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.872.580.Mesenchymal.Stem.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.129.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A15.145.846.Serum	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.130.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.165.114.830.750.Subcutaneous.Fat	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.131.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.620.520.Myocytes..Smooth.Muscle	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.132.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.443.Erythroid.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.133.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.875.Upper.Gastrointestinal.Tract	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.134.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.627.340.360.Granulocyte.Precursor.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.135.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A03.556.Gastrointestinal.Tract	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.136.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.436.275.Endothelial.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.137.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.872.190.Embryonic.Stem.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.138.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A05.360.444.492.362.Foreskin	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.139.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.118.637.555.567.562.440.Precursor.Cells..B.Lymphoid	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.140.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.872.040.Adult.Stem.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.141.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.436.294.064.Glucagon.Secreting.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.142.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.118.637.555.567.569.200.700.T.Lymphocytes..Regulatory	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.143.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A10.165.114.830.500.750.Subcutaneous.Fat..Abdominal	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.144.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A02.633.567.850.Quadriceps.Muscle	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.145.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.872.653.Neural.Stem.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.146.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.872.190.260.Embryoid.Bodies	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.147.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.872.700.500.Induced.Pluripotent.Stem.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.148.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.872.378.590.635.Granulocyte.Macrophage.Progenitor.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.149.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.872.378.590.817.Megakaryocyte.Erythroid.Progenitor.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.150.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.627.624.249.Monocyte.Macrophage.Precursor.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.151.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.
+A11.382.Endocrine.Cells	Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.152.,Multi_tissue_gene_expr_1000Gv3_ldscores/Franke.control.

baselineLD_v2.2/baselineLD.12.l2.M

@@ -0,0 +1 @@
+480110.0	8356.0	28069.0	11821.0	143822.0	11355.0	22585.0	65718.0	196980.0	52508.0	79234.0	158925.0	2155.0	7132.0	22237.0	24589.0	40010.0	95338.0	193790.0	15282.0	131413.0	33064.0	82314.0	208059.0	89764.0	21276.0	68968.0	61302.0	18279.0	61123.0	51159.0	194176.0	5584.0	4736.0	13265.0	23264.0	5355.0	208224.0	122752.0	82571.0	1555.0	62798.0	100572.0	192239.0	204218.0	9110.0	8100.0	6533.0	8512.0	2740.0	11118.0	11056.0	36446.0	801883.1465	3867.0	30291.0	28359.0	29516.0	29446.0	27160.0	27123.0	26840.0	29243.0	31986.0	27046.0	-7487.03941401	-4007.05116406	714725.117045	2030451.68573	94328.5929999	4727.91812592	-22676.2626827	3456.403482	5329.661463	4062.348722	10172.000151	1747.0	1625.0	14943.0	188384.0	11046.0	159357.0	10016.0	77129.0	6239.0	7793.0	8027.0	1750.0	16527.0	4857.0	2480.0	2899.0	2482.0	4278.0	34200.0	1614.0	322.0

baselineLD_v2.2/baselineLD.15.l2.M_5_50

@@ -0,0 +1 @@
+169209.0	2621.0	9668.0	4218.0	50842.0	4707.0	9228.0	24922.0	71925.0	20437.0	30547.0	58159.0	808.0	2891.0	9290.0	9842.0	15848.0	36330.0	77006.0	5571.0	52756.0	12751.0	33257.0	81876.0	31241.0	7536.0	23638.0	21725.0	7719.0	25476.0	20569.0	75964.0	1657.0	1699.0	5105.0	9313.0	1963.0	70354.0	43455.0	35577.0	694.0	23622.0	37438.0	68521.0	69278.0	3414.0	3158.0	2294.0	3066.0	1146.0	4360.0	4888.0	15209.0	299946.7545	1464.0	18106.0	16373.0	16542.0	16481.0	17124.0	16531.0	16126.0	16530.0	18256.0	17140.0	-5055.98462576	-36915.2957018	320737.128922	748748.398622	36258.555	1778.36161274	-10114.0435046	2284.097806	3584.836806	2844.602978	6422.095675	544.0	505.0	5556.0	69081.0	4068.0	59110.0	3889.0	30548.0	2383.0	3090.0	2861.0	628.0	7078.0	1987.0	858.0	1020.0	1253.0	2140.0	13366.0	409.0	101.0

baselineLD_v2.2/baselineLD.16.l2.M

@@ -0,0 +1 @@
+316981.0	6932.0	21642.0	10555.0	106896.0	9951.0	19002.0	49208.0	135302.0	37262.0	56027.0	111591.0	1602.0	5753.0	18364.0	21074.0	30051.0	71048.0	142023.0	10304.0	100456.0	23710.0	62043.0	151886.0	58462.0	16243.0	53639.0	44450.0	17117.0	53913.0	42327.0	137661.0	5046.0	3047.0	9884.0	20553.0	4525.0	115105.0	79387.0	64378.0	1263.0	51092.0	74932.0	144686.0	127664.0	9817.0	8993.0	4889.0	6238.0	2450.0	9656.0	9744.0	29385.0	571231.1205	3718.0	18971.0	17646.0	17979.0	19050.0	17737.0	17807.0	18349.0	19132.0	19093.0	17136.0	-3232.21811096	-54668.8487203	666599.161994	1631660.12014	58949.171	4486.12756631	32760.4313318	2976.888539	4364.785276	2859.615171	9896.366044	1612.0	1535.0	12722.0	130919.0	9396.0	113815.0	8158.0	57403.0	7403.0	10492.0	7090.0	1875.0	13251.0	4032.0	1948.0	2630.0	1842.0	3565.0	23989.0	1174.0	261.0

chrom.sizes

@@ -0,0 +1,711 @@
+chr1	248956422
+chr2	242193529
+chr3	198295559
+chr4	190214555
+chr5	181538259
+chr6	170805979
+chr7	159345973
+chrX	156040895
+chr8	145138636
+chr9	138394717
+chr11	135086622
+chr10	133797422
+chr12	133275309
+chr13	114364328
+chr14	107043718
+chr15	101991189
+chr16	90338345
+chr17	83257441
+chr18	80373285
+chr20	64444167
+chr19	58617616
+chrY	57227415
+chr22	50818468
+chr21	46709983
+chr8_KZ208915v1_fix	6367528
+chr15_ML143371v1_fix	5500449
+chr15_KI270905v1_alt	5161414
+chr15_KN538374v1_fix	4998962
+chr6_GL000256v2_alt	4929269
+chr6_GL000254v2_alt	4827813
+chr6_GL000251v2_alt	4795265
+chr6_GL000253v2_alt	4677643
+chr6_GL000250v2_alt	4672374
+chr6_GL000255v2_alt	4606388
+chr6_GL000252v2_alt	4604811
+chr17_KI270857v1_alt	2877074
+chr16_KI270853v1_alt	2659700
+chr15_KQ031389v1_alt	2365364
+chr5_MU273354v1_fix	2101585
+chr16_KV880768v1_fix	1927115
+chr16_KI270728v1_random	1872759
+chr17_GL000258v2_alt	1821992
+chr5_GL339449v2_alt	1612928
+chr1_MU273333v1_fix	1572686
+chr14_KI270847v1_alt	1511111
+chr17_KI270908v1_alt	1423190
+chr14_KI270846v1_alt	1351393
+chr15_MU273374v1_fix	1154574
+chr5_KI270897v1_alt	1144418
+chr7_KI270803v1_alt	1111570
+chr19_GL949749v2_alt	1091841
+chr19_KI270938v1_alt	1066800
+chr19_GL949750v2_alt	1066390
+chr19_GL949748v2_alt	1064304
+chr12_KZ208916v1_fix	1046838
+chr21_MU273391v1_fix	1020778
+chr19_GL949751v2_alt	1002683
+chr19_GL949746v1_alt	987716
+chr19_GL949752v1_alt	987100
+chr8_KI270821v1_alt	985506
+chr2_MU273342v1_fix	955087
+chr1_KI270763v1_alt	911658
+chr6_KI270801v1_alt	870480
+chrY_MU273398v1_fix	865743
+chr1_MU273331v1_alt	847441
+chr19_GL949753v2_alt	796479
+chr19_GL949747v2_alt	729520
+chr14_MU273373v1_fix	722645
+chr14_KZ208920v1_fix	690932
+chr7_KZ208913v1_alt	680662
+chr5_KV575244v1_fix	673059
+chr8_KI270822v1_alt	624492
+chrX_MU273395v1_alt	619716
+chr7_KZ208912v1_fix	589656
+chr4_GL000257v2_alt	586476
+chr12_KI270904v1_alt	572349
+chr9_MU273366v1_fix	569668
+chr4_KI270925v1_alt	555799
+chr1_KV880763v1_alt	551020
+chr12_KN538369v1_fix	541038
+chr17_MU273380v1_fix	538541
+chr2_MU273338v1_alt	535251
+chr2_KQ983256v1_alt	535088
+chr21_ML143377v1_fix	519485
+chr1_MU273330v1_alt	516764
+chr5_MU273355v1_fix	508332
+chr2_MU273339v1_alt	500581
+chr19_ML143376v1_fix	493165
+chr2_MU273343v1_fix	489404
+chr9_MU273365v1_fix	482250
+chr2_KQ031384v1_fix	481245
+chr16_KZ559113v1_fix	480415
+chr15_KI270852v1_alt	478999
+chr3_MU273348v1_fix	475876
+chr3_MU273346v1_fix	469342
+chr7_KV880765v1_fix	468267
+chr1_KQ031383v1_fix	467143
+chr7_MU273358v1_alt	464417
+chr22_ML143378v1_fix	461303
+chr1_KN538360v1_fix	460100
+chr10_ML143354v1_fix	454963
+chr3_KN196475v1_fix	451168
+chr15_KI270727v1_random	448248
+chr9_KI270823v1_alt	439082
+chr11_MU273369v1_fix	434831
+chr2_MU273337v1_alt	431782
+chr15_KI270850v1_alt	430880
+chr8_MU273362v1_fix	429744
+chr1_KI270759v1_alt	425601
+chr4_KV766193v1_alt	420675
+chr10_KN538367v1_fix	420164
+chr3_KN538364v1_fix	415308
+chr22_ML143380v1_fix	412368
+chr3_KV766192v1_fix	411654
+chr13_ML143366v1_fix	409912
+chr12_GL877876v1_alt	408271
+chr18_KQ090028v1_fix	407387
+chr19_KQ458386v1_fix	405389
+chrX_ML143381v1_fix	403128
+chr14_ML143367v1_fix	399183
+chr15_ML143372v1_fix	396515
+chrUn_KI270442v1	392061
+chr17_KI270862v1_alt	391357
+chr15_GL383555v2_alt	388773
+chr19_GL383573v1_alt	385657
+chr6_MU273357v1_alt	383128
+chr4_KI270896v1_alt	378547
+chr4_GL383528v1_alt	376187
+chr17_GL383563v3_alt	375691
+chr8_KI270810v1_alt	374415
+chr3_KQ031385v1_fix	373699
+chr17_MU273378v1_alt	372839
+chr19_KN196484v1_fix	370917
+chr15_ML143370v1_fix	369264
+chr1_GL383520v2_alt	366580
+chr2_KN538363v1_fix	365499
+chr5_KV575243v1_alt	362221
+chr13_KN538372v1_fix	356766
+chr20_MU273389v1_fix	355731
+chr1_KI270762v1_alt	354444
+chr1_KQ458383v1_alt	349938
+chr11_MU273370v1_fix	344606
+chr4_ML143345v1_fix	341066
+chr9_MU273364v1_fix	340717
+chr21_MU273390v1_fix	336752
+chr1_MU273332v1_alt	335159
+chr16_MU273377v1_fix	334997
+chr19_MU273384v1_fix	333754
+chrX_MU273397v1_alt	330493
+chr9_KN196479v1_fix	330164
+chr1_KZ208906v1_fix	330031
+chr15_KI270848v1_alt	327382
+chr17_KI270909v1_alt	325800
+chr14_KI270844v1_alt	322166
+chr6_KQ031387v1_fix	320750
+chr8_KI270900v1_alt	318687
+chr12_KQ759760v1_fix	315610
+chr10_GL383546v1_alt	309802
+chr4_MU273349v1_alt	308682
+chr13_KI270838v1_alt	306913
+chr3_KN196476v1_fix	305979
+chr8_KI270816v1_alt	305841
+chr1_KN538361v1_fix	305542
+chr11_KZ559108v1_fix	305244
+chr22_KI270879v1_alt	304135
+chr3_KZ559103v1_alt	302885
+chr5_MU273356v1_alt	302485
+chr11_KZ559110v1_alt	301637
+chr3_MU273347v1_fix	301310
+chr8_KI270813v1_alt	300230
+chr12_ML143361v1_fix	297568
+chr11_KI270831v1_alt	296895
+chr15_GL383554v1_alt	296527
+chrX_MU273396v1_alt	294119
+chr19_KV575249v1_alt	293522
+chr10_ML143355v1_fix	292944
+chr8_KI270811v1_alt	292436
+chr18_GL383567v1_alt	289831
+chr2_MU273340v1_alt	284971
+chrX_KI270880v1_alt	284869
+chr8_KI270812v1_alt	282736
+chr19_KI270921v1_alt	282224
+chr17_KV766196v1_fix	281919
+chr17_KI270729v1_random	280839
+chr11_KZ559109v1_fix	279644
+chr1_KQ983255v1_alt	278659
+chr17_JH159146v1_alt	278131
+chr10_KN196480v1_fix	277797
+chr17_KV766198v1_alt	276292
+chr4_ML143349v1_fix	276109
+chrX_KI270913v1_alt	274009
+chr20_MU273388v1_fix	273725
+chr6_KI270798v1_alt	271782
+chr7_KI270808v1_alt	271455
+chr16_ML143373v1_fix	270967
+chr11_ML143358v1_fix	270122
+chr6_KN196478v1_fix	268330
+chr16_KQ090027v1_alt	267463
+chr8_KV880767v1_fix	265876
+chr10_KQ090021v1_fix	264545
+chr14_ML143368v1_alt	264228
+chr22_KI270876v1_alt	263666
+chr15_KI270851v1_alt	263054
+chr11_MU273368v1_alt	261194
+chr22_KI270875v1_alt	259914
+chr1_KI270766v1_alt	256271
+chr7_ML143352v1_fix	254759
+chr1_MU273336v1_fix	250447
+chr19_KI270882v1_alt	248807
+chr3_KI270778v1_alt	248252
+chr17_KV766197v1_alt	246895
+chr6_KQ090016v1_fix	245716
+chr15_KI270849v1_alt	244917
+chr2_MU273344v1_fix	244725
+chr4_KI270786v1_alt	244096
+chr6_KZ208911v1_fix	242796
+chr19_KV575250v1_alt	241058
+chr12_KI270835v1_alt	238139
+chr4_KQ090015v1_alt	236512
+chr17_KI270858v1_alt	235827
+chr4_ML143344v1_fix	235734
+chr17_MU273379v1_fix	234878
+chr19_KI270867v1_alt	233762
+chr16_KI270855v1_alt	232857
+chr18_KZ559115v1_fix	230843
+chr4_KQ983257v1_fix	230434
+chr8_KI270926v1_alt	229282
+chr5_GL949742v1_alt	226852
+chr19_MU273386v1_fix	226166
+chr3_KI270780v1_alt	224108
+chr17_GL383565v1_alt	223995
+chr2_KI270774v1_alt	223625
+chr19_KV575256v1_alt	223118
+chr4_KI270790v1_alt	220246
+chr11_KI270927v1_alt	218612
+chr11_ML143359v1_fix	217075
+chr19_KI270932v1_alt	215732
+chr3_ML143343v1_alt	215443
+chr11_KI270903v1_alt	214625
+chr2_KI270894v1_alt	214158
+chr1_KQ458384v1_alt	212205
+chr1_MU273335v1_fix	211934
+chr12_KN196482v1_fix	211377
+chr14_GL000225v1_random	211173
+chrUn_KI270743v1	210658
+chr1_MU273334v1_fix	210426
+chr11_KI270832v1_alt	210133
+chr7_KI270805v1_alt	209988
+chrY_KZ208924v1_fix	209722
+chr4_GL000008v2_random	209709
+chr7_KI270809v1_alt	209586
+chr19_KI270887v1_alt	209512
+chr5_MU273353v1_fix	208405
+chr2_KN538362v1_fix	208149
+chr8_MU273363v1_fix	207371
+chr13_KN538371v1_fix	206320
+chr4_KI270789v1_alt	205944
+chr4_MU273351v1_fix	205691
+chr4_KQ983258v1_alt	205407
+chr3_KI270779v1_alt	205312
+chr19_KI270914v1_alt	205194
+chr18_KQ458385v1_alt	205101
+chr11_KQ759759v2_fix	204999
+chr19_KI270886v1_alt	204239
+chr11_KI270829v1_alt	204059
+chr15_MU273375v1_alt	204007
+chr11_KN538368v1_alt	203552
+chr14_GL000009v2_random	201709
+chr21_GL383579v2_alt	201197
+chr11_JH159136v1_alt	200998
+chr19_KI270930v1_alt	200773
+chrUn_KI270747v1	198735
+chr18_GL383571v1_alt	198278
+chr19_KI270920v1_alt	198005
+chr3_KZ559102v1_alt	197752
+chr6_KI270797v1_alt	197536
+chr3_KI270935v1_alt	197351
+chr11_KQ759759v1_fix	196940
+chr17_KI270861v1_alt	196688
+chr15_KI270906v1_alt	196384
+chr10_MU273367v1_fix	196262
+chr5_KI270791v1_alt	195710
+chr3_KZ559105v1_alt	195063
+chr14_KI270722v1_random	194050
+chr12_ML143362v1_fix	192531
+chr16_GL383556v1_alt	192462
+chr13_KI270840v1_alt	191684
+chr14_GL000194v1_random	191469
+chr11_JH159137v1_alt	191409
+chr19_KI270917v1_alt	190932
+chr7_KI270899v1_alt	190869
+chr21_MU273392v1_fix	189707
+chr19_KI270923v1_alt	189352
+chr10_KI270825v1_alt	188315
+chr19_GL383576v1_alt	188024
+chrX_KV766199v1_alt	188004
+chr19_KI270922v1_alt	187935
+chr17_MU273382v1_fix	187626
+chrUn_KI270742v1	186739
+chr1_KN196472v1_fix	186494
+chr22_KI270878v1_alt	186262
+chr19_KI270929v1_alt	186203
+chr11_KI270826v1_alt	186169
+chr6_KB021644v2_alt	185823
+chr17_GL000205v2_random	185591
+chr10_KQ090020v1_alt	185507
+chr1_KI270765v1_alt	185285
+chr19_KI270916v1_alt	184516
+chr19_KI270890v1_alt	184499
+chr3_KI270784v1_alt	184404
+chr12_GL383551v1_alt	184319
+chr20_KI270870v1_alt	183433
+chrUn_GL000195v1	182896
+chr1_GL383518v1_alt	182439
+chr11_KQ090022v1_fix	181958
+chr22_KI270736v1_random	181920
+chr2_KZ208907v1_alt	181658
+chr10_KI270824v1_alt	181496
+chr11_KZ559111v1_alt	181167
+chr14_KI270845v1_alt	180703
+chr3_GL383526v1_alt	180671
+chr13_KI270839v1_alt	180306
+chr7_KQ031388v1_fix	179932
+chr22_KI270733v1_random	179772
+chrUn_GL000224v1	179693
+chr10_GL383545v1_alt	179254
+chrUn_GL000219v1	179198
+chr5_KI270792v1_alt	179043
+chr17_KI270860v1_alt	178921
+chr19_KV575252v1_alt	178197
+chr19_GL000209v2_alt	177381
+chr11_KI270830v1_alt	177092
+chr9_KI270719v1_random	176845
+chr4_ML143347v1_fix	176674
+chrUn_GL000216v2	176608
+chr22_KI270928v1_alt	176103
+chr1_KI270712v1_random	176043
+chr3_KZ208909v1_alt	175849
+chr6_KI270800v1_alt	175808
+chr1_KI270706v1_random	175055
+chr12_KZ208918v1_alt	174808
+chr22_KQ458388v1_alt	174749
+chr2_MU273345v1_fix	174385
+chr2_KI270776v1_alt	174166
+chr18_KI270912v1_alt	174061
+chr3_KI270777v1_alt	173649
+chr5_GL383531v1_alt	173459
+chr3_JH636055v2_alt	173151
+chr14_KI270725v1_random	172810
+chr5_KI270796v1_alt	172708
+chr17_MU273383v1_fix	172609
+chr7_KZ559106v1_alt	172555
+chr14_KZ208919v1_alt	171798
+chr9_GL383541v1_alt	171286
+chr19_KV575259v1_alt	171263
+chr19_KI270885v1_alt	171027
+chr11_ML143360v1_fix	170928
+chr19_KI270919v1_alt	170701
+chr19_KI270889v1_alt	170698
+chr19_KI270891v1_alt	170680
+chr19_KI270915v1_alt	170665
+chr19_KI270933v1_alt	170537
+chr19_KI270883v1_alt	170399
+chr19_GL383575v2_alt	170222
+chr19_KV575247v1_alt	170206
+chr19_KI270931v1_alt	170148
+chr12_GL383550v2_alt	169178
+chr16_KQ031390v1_alt	169136
+chr13_KI270841v1_alt	169134
+chrUn_KI270744v1	168472
+chr13_KQ090024v1_alt	168146
+chr19_KV575248v1_alt	168131
+chr18_KI270863v1_alt	167999
+chr18_GL383569v1_alt	167950
+chr12_GL877875v1_alt	167313
+chr21_KI270874v1_alt	166743
+chr19_KV575253v1_alt	166713
+chr3_KI270924v1_alt	166540
+chr1_KN196473v1_fix	166200
+chr1_KZ208904v1_alt	166136
+chr1_KI270761v1_alt	165834
+chr3_KQ031386v1_fix	165718
+chr3_KI270937v1_alt	165607
+chr11_ML143357v1_fix	165419
+chr8_KZ208914v1_fix	165120
+chr22_KI270734v1_random	165050
+chr18_GL383570v1_alt	164789
+chr5_KI270794v1_alt	164558
+chr4_GL383527v1_alt	164536
+chrUn_GL000213v1	164239
+chr3_KI270936v1_alt	164170
+chr3_KZ559101v1_alt	164041
+chr19_KV575246v1_alt	163926
+chr9_KQ090018v1_alt	163882
+chr4_KQ090014v1_alt	163749
+chr3_KI270934v1_alt	163458
+chr18_KZ559116v1_alt	163186
+chr9_GL383539v1_alt	162988
+chr3_KI270895v1_alt	162896
+chr22_GL383582v2_alt	162811
+chr3_KI270782v1_alt	162429
+chr1_KI270892v1_alt	162212
+chrUn_GL000220v1	161802
+chr2_KI270767v1_alt	161578
+chr2_KI270715v1_random	161471
+chr2_KI270893v1_alt	161218
+chrUn_GL000218v1	161147
+chr19_KV575255v1_alt	161095
+chr18_GL383572v1_alt	159547
+chr19_KV575251v1_alt	159285
+chr8_KI270817v1_alt	158983
+chr4_KI270788v1_alt	158965
+chr13_ML143364v1_fix	158944
+chrUn_KI270749v1	158759
+chr7_KI270806v1_alt	158166
+chr7_KI270804v1_alt	157952
+chr18_KI270911v1_alt	157710
+chrUn_KI270741v1	157432
+chr17_KI270910v1_alt	157099
+chr19_KI270884v1_alt	157053
+chr8_KV880766v1_fix	156998
+chr19_KV575258v1_alt	156965
+chr22_KN196485v1_alt	156562
+chr22_KQ458387v1_alt	155930
+chr19_GL383574v1_alt	155864
+chr19_KI270888v1_alt	155532
+chr3_GL000221v1_random	155397
+chr17_KV575245v1_fix	154723
+chr11_GL383547v1_alt	154407
+chr12_KZ559112v1_alt	154139
+chr2_KI270716v1_random	153799
+chr22_KN196486v1_alt	153027
+chr12_GL383553v2_alt	152874
+chr6_KI270799v1_alt	152148
+chr22_KI270731v1_random	150754
+chrUn_KI270751v1	150742
+chr8_MU273359v1_fix	150302
+chrUn_KI270750v1	148850
+chr13_KN538373v1_fix	148762
+chr2_ML143341v1_fix	145975
+chr19_KV575260v1_alt	145691
+chr8_KI270818v1_alt	145606
+chr22_KQ759761v1_alt	145162
+chr17_MU273381v1_fix	144689
+chrX_KI270881v1_alt	144206
+chr21_KI270873v1_alt	143900
+chr2_GL383521v1_alt	143390
+chr7_KV880764v1_fix	142129
+chr8_KI270814v1_alt	141812
+chr1_KQ458382v1_alt	141019
+chr11_KV766195v1_fix	140877
+chrX_MU273394v1_fix	140567
+chr2_KZ208908v1_alt	140361
+chr1_KZ208905v1_alt	140355
+chr6_KV766194v1_fix	139427
+chr5_KN196477v1_alt	139087
+chr12_GL383552v1_alt	138655
+chrUn_KI270519v1	138126
+chr2_KI270775v1_alt	138019
+chr17_ML143374v1_fix	137908
+chr19_MU273385v1_fix	137818
+chr17_KI270907v1_alt	137721
+chrUn_GL000214v1	137718
+chr8_KI270901v1_alt	136959
+chr2_KI270770v1_alt	136240
+chr5_KZ208910v1_alt	135987
+chr16_KI270854v1_alt	134193
+chr9_KQ090019v1_alt	134099
+chr8_KI270819v1_alt	133535
+chr17_GL383564v2_alt	133151
+chr2_KI270772v1_alt	133041
+chr8_KI270815v1_alt	132244
+chr5_KI270795v1_alt	131892
+chr5_KI270898v1_alt	130957
+chr20_GL383577v2_alt	128386
+chr1_KI270708v1_random	127682
+chr7_KI270807v1_alt	126434
+chr5_KI270793v1_alt	126136
+chr4_ML143348v1_fix	125549
+chr6_GL383533v1_alt	124736
+chr2_GL383522v1_alt	123821
+chr13_KQ090025v1_alt	123480
+chr19_KI270918v1_alt	123111
+chr11_MU273371v1_fix	122722
+chr1_KN196474v1_fix	122022
+chr12_GL383549v1_alt	120804
+chr2_KI270769v1_alt	120616
+chr2_MU273341v1_fix	120381
+chr4_KI270785v1_alt	119912
+chr12_KI270834v1_alt	119498
+chr7_GL383534v2_alt	119183
+chr20_KI270869v1_alt	118774
+chr17_KZ559114v1_alt	116753
+chr21_GL383581v2_alt	116689
+chr4_MU273350v1_fix	113364
+chr3_KI270781v1_alt	113034
+chr17_KI270730v1_random	112551
+chrUn_KI270438v1	112505
+chr4_KI270787v1_alt	111943
+chr18_KI270864v1_alt	111737
+chr2_KI270771v1_alt	110395
+chr1_GL383519v1_alt	110268
+chr2_KI270768v1_alt	110099
+chr1_KI270760v1_alt	109528
+chr12_KQ090023v1_alt	109323
+chr3_KI270783v1_alt	109187
+chr11_KN196481v1_fix	108875
+chr17_KI270859v1_alt	108763
+chr8_MU273361v1_fix	106905
+chr11_KI270902v1_alt	106711
+chr3_KZ559104v1_fix	105527
+chr18_GL383568v1_alt	104552
+chr12_MU273372v1_fix	104537
+chr22_KI270737v1_random	103838
+chr13_KI270843v1_alt	103832
+chr8_KZ559107v1_alt	103072
+chr22_KI270877v1_alt	101331
+chr5_GL383530v1_alt	101241
+chrY_KN196487v1_fix	101150
+chr22_KQ759762v2_fix	101040
+chr22_KQ759762v1_fix	101037
+chr19_KV575257v1_alt	100553
+chr11_KI270721v1_random	100316
+chr19_KV575254v1_alt	99845
+chr22_KI270738v1_random	99375
+chr15_ML143369v1_fix	97763
+chr22_GL383583v2_alt	96924
+chr2_GL582966v2_alt	96131
+chrUn_KI270748v1	93321
+chr18_KZ208922v1_fix	93070
+chrUn_KI270435v1	92983
+chr5_GL000208v1_random	92689
+chrUn_KI270538v1	91309
+chr4_KQ090013v1_alt	90922
+chr17_GL383566v1_alt	90219
+chr5_ML143350v1_fix	89956
+chr16_GL383557v1_alt	89672
+chr19_MU273387v1_alt	89211
+chr17_JH159148v1_alt	88070
+chr16_MU273376v1_fix	87715
+chr12_KN538370v1_fix	86533
+chr10_KN538366v1_fix	85284
+chr2_ML143342v1_fix	84043
+chr5_GL383532v1_alt	82728
+chr21_KI270872v1_alt	82692
+chr6_KQ090017v1_alt	82315
+chrUn_KI270756v1	79590
+chr16_KZ208921v1_alt	78609
+chr6_KI270758v1_alt	76752
+chr12_KI270833v1_alt	76061
+chr6_KI270802v1_alt	75005
+chr21_GL383580v2_alt	74653
+chr22_KB663609v1_alt	74013
+chr22_KI270739v1_random	73985
+chr6_ML143351v1_fix	73265
+chr9_GL383540v1_alt	71551
+chrUn_KI270757v1	71251
+chr2_KI270773v1_alt	70887
+chr17_JH159147v1_alt	70345
+chrX_MU273393v1_fix	68810
+chrX_ML143383v1_fix	68192
+chr11_KI270827v1_alt	67707
+chr1_KI270709v1_random	66860
+chrUn_KI270746v1	66486
+chr13_ML143365v1_fix	65394
+chr12_KZ208917v1_fix	64689
+chr16_KI270856v1_alt	63982
+chr21_GL383578v2_alt	63917
+chrUn_KI270753v1	62944
+chr19_KI270868v1_alt	61734
+chr9_GL383542v1_alt	60032
+chr16_KQ090026v1_alt	59016
+chr20_KI270871v1_alt	58661
+chr17_ML143375v1_fix	56695
+chr12_KI270836v1_alt	56134
+chr4_ML143346v1_fix	53476
+chr19_KI270865v1_alt	52969
+chr1_KI270764v1_alt	50258
+chrY_KZ208923v1_fix	48370
+chr11_ML143356v1_fix	45257
+chr1_KZ559100v1_fix	44955
+chrUn_KI270589v1	44474
+chr14_KI270726v1_random	43739
+chr19_KI270866v1_alt	43156
+chr22_KI270735v1_random	42811
+chr1_KI270711v1_random	42210
+chrUn_KI270745v1	41891
+chr1_KI270714v1_random	41717
+chr22_KI270732v1_random	41543
+chr1_KI270713v1_random	40745
+chrUn_KI270754v1	40191
+chr1_KI270710v1_random	40176
+chr12_KI270837v1_alt	40090
+chr9_KI270717v1_random	40062
+chr14_KI270724v1_random	39555
+chr8_MU273360v1_fix	39290
+chr9_KI270720v1_random	39050
+chr14_KI270723v1_random	38115
+chr9_KI270718v1_random	38054
+chrUn_KI270317v1	37690
+chr13_KI270842v1_alt	37287
+chrY_KI270740v1_random	37240
+chrUn_KI270755v1	36723
+chr8_KI270820v1_alt	36640
+chr13_KN196483v1_fix	35455
+chr5_MU273352v1_fix	34400
+chr1_KI270707v1_random	32032
+chrUn_KI270579v1	31033
+chrX_ML143382v1_fix	28824
+chrUn_KI270752v1	27745
+chr9_ML143353v1_fix	25408
+chrUn_KI270512v1	22689
+chrUn_KI270322v1	21476
+chrX_ML143385v1_fix	17435
+chrM	16569
+chrUn_GL000226v1	15008
+chrX_ML143384v1_fix	14678
+chr10_KN538365v1_fix	14347
+chrUn_KI270311v1	12399
+chr22_ML143379v1_fix	12295
+chrUn_KI270366v1	8320
+chrUn_KI270511v1	8127
+chrUn_KI270448v1	7992
+chrUn_KI270521v1	7642
+chr13_ML143363v1_fix	7309
+chrUn_KI270581v1	7046
+chrUn_KI270582v1	6504
+chrUn_KI270515v1	6361
+chrUn_KI270588v1	6158
+chrUn_KI270591v1	5796
+chrUn_KI270522v1	5674
+chrUn_KI270507v1	5353
+chrUn_KI270590v1	4685
+chrUn_KI270584v1	4513
+chrUn_KI270320v1	4416
+chrUn_KI270382v1	4215
+chrUn_KI270468v1	4055
+chrUn_KI270467v1	3920
+chrUn_KI270362v1	3530
+chrUn_KI270517v1	3253
+chrUn_KI270593v1	3041
+chrUn_KI270528v1	2983
+chrUn_KI270587v1	2969
+chrUn_KI270364v1	2855
+chrUn_KI270371v1	2805
+chrUn_KI270333v1	2699
+chrUn_KI270374v1	2656
+chrUn_KI270411v1	2646
+chrUn_KI270414v1	2489
+chrUn_KI270510v1	2415
+chrUn_KI270390v1	2387
+chrUn_KI270375v1	2378
+chrUn_KI270420v1	2321
+chrUn_KI270509v1	2318
+chrUn_KI270315v1	2276
+chrUn_KI270302v1	2274
+chrUn_KI270518v1	2186
+chrUn_KI270530v1	2168
+chrUn_KI270304v1	2165
+chrUn_KI270418v1	2145
+chrUn_KI270424v1	2140
+chrUn_KI270417v1	2043
+chrUn_KI270508v1	1951
+chrUn_KI270303v1	1942
+chrUn_KI270381v1	1930
+chrUn_KI270529v1	1899
+chrUn_KI270425v1	1884
+chrUn_KI270396v1	1880
+chrUn_KI270363v1	1803
+chrUn_KI270386v1	1788
+chrUn_KI270465v1	1774
+chrUn_KI270383v1	1750
+chrUn_KI270384v1	1658
+chrUn_KI270330v1	1652
+chrUn_KI270372v1	1650
+chrUn_KI270548v1	1599
+chrUn_KI270580v1	1553
+chrUn_KI270387v1	1537
+chrUn_KI270391v1	1484
+chrUn_KI270305v1	1472
+chrUn_KI270373v1	1451
+chrUn_KI270422v1	1445
+chrUn_KI270316v1	1444
+chrUn_KI270338v1	1428
+chrUn_KI270340v1	1428
+chrUn_KI270583v1	1400
+chrUn_KI270334v1	1368
+chrUn_KI270429v1	1361
+chrUn_KI270393v1	1308
+chrUn_KI270516v1	1300
+chrUn_KI270389v1	1298
+chrUn_KI270466v1	1233
+chrUn_KI270388v1	1216
+chrUn_KI270544v1	1202
+chrUn_KI270310v1	1201
+chrUn_KI270412v1	1179
+chrUn_KI270395v1	1143
+chrUn_KI270376v1	1136
+chrUn_KI270337v1	1121
+chrUn_KI270335v1	1048
+chrUn_KI270378v1	1048
+chrUn_KI270379v1	1045
+chrUn_KI270329v1	1040
+chrUn_KI270419v1	1029
+chrUn_KI270336v1	1026
+chrUn_KI270312v1	998
+chrUn_KI270539v1	993
+chrUn_KI270385v1	990
+chrUn_KI270423v1	981
+chrUn_KI270392v1	971
+chrUn_KI270394v1	970

sumstats_107/create_sumstats.pl

@@ -0,0 +1,138 @@
+use Math::CDF; #conda install -c bioconda perl-math-cdf
+use Getopt::Long; 
+
+$beta_col=""; $se_col=""; $Z_col=""; $pval_col=""; $OR_col=""; $myN=0; $N_col="";
+
+GetOptions ("filein=s" => \$FILEIN, "fileout=s" => \$FILEOUT, "chr=i" => \$chr_col, "pos=i" => \$pos_col, "rs=i" => \$rs_col, "A1=i" => \$A1_col, "A2=i" => \$A2_col, "beta=i" => \$beta_col, "se=i" => \$se_col, "Z=i" => \$Z_col, "pval=i" => \$pval_col, "OR=i" => \$OR_col, "myN=i" => \$myN, "N=i" => \$N_col, "N1=i" => \$N1_col, "N2=i" => \$N2_col, "bim=s" => \$ref_file, "hm3=s" => \$hm3_file);
+
+printf("perl create_sumstats.pl\n");
+printf("     --filein $FILEIN\n");
+printf("     --fileout $FILEOUT\n");
+if ($rs_col==""){
+printf("     --chr $chr_col\n");
+printf("     --pos $pos_col\n");
+} else {
+printf("     --rs $rs_col\n");
+}
+printf("     --A1 $A1_col\n");
+printf("     --A2 $A2_col\n");
+#
+if ($beta_col!=""){
+printf("     --beta $beta_col\n");
+printf("     --se $se_col\n");
+} elsif ($Z_col!=""){
+printf("     --Z $Z_col\n");
+} else {
+printf("     --pval $pval_col\n");
+if ($OR_col!=""){
+printf("     --OR $OR_col\n");
+}
+}
+#
+if ($myN!=0){
+printf("     --myN $myN\n");
+} elsif ($N_col!=""){
+printf("     --N $N_col\n");
+} else {
+printf("     --N1 $N1_col\n");
+printf("     --N2 $N2_col\n");
+}
+printf("     --bim $ref_file\n");
+printf("     --hm3 $hm3_file\n");
+
+##1) Check SNPs in bim + hm3
+print "\nRead HM3 SNPs\n";
+#hm3 SNPs
+open(IN,$hm3_file ) || die ;
+while (<IN>) {
+    chomp $_; @line=split;
+    $rsin{$line[0]}=1;
+}
+close IN;
+#bim
+print "Read SNP info in bim files\n";
+for (my $chr = 1; $chr <= 22; $chr++) { 
+    open(IN,"$ref_file.$chr.bim" ) || die ;
+	while (<IN>) {
+		chomp $_; @line=split;
+        $alleles = "$line[4]$line[5]";
+        if (($alleles ne "AT") && ($alleles ne "TA") && ($alleles ne "CG") && ($alleles ne "GC")) {
+            if (defined($rsin{$line[1]})){
+                if ($rs_col==""){
+                    $rs{$chr}{$line[3]}{$line[4]}{$line[5]}=$line[1];
+                    $rs{$chr}{$line[3]}{$line[5]}{$line[4]}=$line[1];
+                } else {
+                    $rs{$line[1]} = 1;
+                }
+            }
+        }
+	}
+	close IN;
+}
+
+#2) Create new my sumstats file
+print "\nCreate $FILEOUT.gz\n";
+open(OUT,">$FILEOUT");
+printf OUT "SNP	A1	A2	N	Z\n";
+system("gunzip $FILEIN.gz");
+open(IN,"$FILEIN" ) || die ;
+	while (<IN>) {
+    chomp $_; @line=split;
+    if ($rs_col==""){
+        if ( defined($rs{$line[$chr_col-1]}{$line[$pos_col-1]}{uc($line[$A1_col-1])}{uc($line[$A2_col-1])})){
+            $thisSNP = $rs{$line[$chr_col-1]}{$line[$pos_col-1]}{uc($line[$A1_col-1])}{uc($line[$A2_col-1])};
+            $thisA1 =  uc($line[$A1_col-1]);
+            $thisA2 =  uc($line[$A2_col-1]);
+            if ($myN!=0){
+                $thisN = $myN
+            } elsif ($N_col!=""){
+                $thisN = $line[$N_col-1]
+            } else {
+                $thisN = $line[$N1_col-1]+$line[$N2_col-1]
+            }
+            if ($beta_col!=""){
+                if ($line[$se_col-1]!=0){
+                    $thisZ = sprintf("%.4f", $line[$beta_col-1]/$line[$se_col-1]);
+                }
+            } elsif ($Z_col!=""){
+                $thisZ = sprintf("%.4f", $line[$Z_col-1]);
+            } else {
+                $thisZ = sprintf("%.4f", &Math::CDF::qnorm($line[$pval_col-1]/2)*-1);
+                if ($OR_col!=""){ if ($line[$OR_col-1]<1){  $thisZ = -1 *$thisZ } }
+            }
+            #if (($beta_col!="") && ($line[$se_col-1]!=0)){
+                printf OUT "$thisSNP	$thisA1	$thisA2	$thisN	$thisZ\n";    
+            #}
+        }
+    } else {
+        if ( defined($rs{$line[$rs_col-1]})){
+            $thisSNP = $line[$rs_col-1];
+            $thisA1 =  uc($line[$A1_col-1]);
+            $thisA2 =  uc($line[$A2_col-1]);
+            if ($myN!=0){
+                $thisN = $myN
+            } elsif ($N_col!=""){
+                $thisN = $line[$N_col-1]
+            } else {
+                $thisN = $line[$N1_col-1]+$line[$N2_col-1]
+            }
+            if ($beta_col!=""){
+                if ($line[$se_col-1]!=0){
+                    $thisZ = sprintf("%.4f", $line[$beta_col-1]/$line[$se_col-1]);
+                }
+            } elsif ($Z_col!=""){
+                $thisZ = sprintf("%.4f", $line[$Z_col-1]);
+            } else {
+                $thisZ = sprintf("%.4f", &Math::CDF::qnorm($line[$pval_col-1]/2)*-1);
+                if ($OR_col!=""){ if ($line[$OR_col-1]<1){  $thisZ = -1 *$thisZ } }
+            }
+            #if (($beta_col!="") && ($line[$se_col-1]!=0)){
+                printf OUT "$thisSNP	$thisA1	$thisA2	$thisN	$thisZ\n";    
+            #}
+        }
+    } 
+}
+close IN;
+close OUT;
+system("gzip $FILEIN");
+system("gzip $FILEOUT");

sumstats_107/readme.txt

@@ -0,0 +1,30 @@
+# This list has been created by Come Legros, Artem Kim, and Steven Gazal
+# Any inquiry should be made to gazal@usc.edu
+
+We report 107 independent GWAS summary statistics defined as having either non-overlapping samples or non genetically correlated.
+To create this list, we
+1) considered a initial list of 231 summary statistics coming from a list of 63 independent traits from Gazal et al. 2022 Nat Genet, GBMI, Pan UKBB, and other publicly available GWAS summary statistics
+2) prioritized summary statistics with higher heritability Z score (estimated using S-LDSC withe the baseline-LD model), and summary statistics of diseases over summary statistics of quantitative traits. We fixed a heritability Z score of 6, but allowed some immune-related traits to have h2 Z<6, as they can still be useful in meta-analyses of immune-related traits.
+3) removed traits with substantial sample overlap and trait correlation by using the intercept of cross-trait LD score regression. If the summary statistics was computed using UK Biobank data, we removed other traits with genetic correlation rg**2 > 0.05
+
+
+We note that this directory contains 106 files out of the 107 traits, as summary statistics for Multiple Sceloris need approval from https://imsgc.net/?page_id=31.
+Once, you have been allowed to download the file discovery_metav3.0.meta.gz, you need to
+A) select SNPs that have been analyzed in all the 15 studies:
+zcat discovery_metav3.0.meta.gz | awk '{if($6==15){print $0}}' | gzip > discovery_metav3.0.meta.N15.gz
+B) create the file PASS.Multiple_Sclerosis.IMSGC2019.sumstats.gz using the command:
+perl create_sumstats.pl \
+  --filein discovery_metav3.0.meta.N15 \
+  --fileout PASS.Multiple_Sclerosis.IMSGC2019.sumstats \
+  --chr 1 \
+  --pos 2 \
+  --A1 4 \
+  --A2 5 \
+  --pval 7 \
+  --OR 8 \
+  --myN 41505 \
+  --bim /xxx/1000G.EUR.QC \
+  --hm3 /xxx/w_hm3.txt
+Note that you will have to download ldsc EUR reference in hg19 (files 1000G.EUR.QC.*.bim) and the list of HM3 SNPs (file w_hm3.txt)
+
+

sumstats_107/traits_indep107.txt

@@ -0,0 +1,107 @@
+PASS.Schizophrenia.Trubetskoy2022
+PASS.Depression.Howard2019
+PASS.Bipolar_Disorder_ALL.Mullins2021
+PASS.Knee_Osteoarthritis.Boer2021
+PASS.Chronic_Obstructive_Pulmonary_Disease.Consentino2023
+GBMI.Asthma
+PASS.Attention_Deficit_Hyperactivity_Disorder_ADHD.Demontis2023
+PASS.Atrial_Fibrillation.Nielsen2018
+PASS.Glaucoma.Craig2020
+PASS.Insomnia.Watanabe2022
+PASS.Coronary_Artery_Disease.Aragam2022
+UKB_460K.disease_HYPOTHYROIDISM_SELF_REP
+PASS.Multiple_Sclerosis.IMSGC2019
+PASS.Gastrointestinal_Disease.Donertas2021
+PASS.Total_Hip_Replacement.Boer2021
+PANUKBB.Diverticulosis_And_Diverticulitis
+PANUKBB.Blood_Clot_DVT_Bronchitis_Emphysema_Asthma_Rhinitis_Eczema_Allergy_Diagnosed_By_Doctor
+PASS.Type_2_Diabetes.Xue2018
+PASS.Inflammatory_Bowel_Disease.deLange2017
+PANUKBB.Varicose_Vein_Surgery
+PASS.Rheumatoid_Arthritis.Ishigaki2022
+PASS.Rheumatoid_Arthritis.Saevarsdottir2022
+PASS.Anorexia_Nervosa.Watson2019
+PASS.Cancer_Prostate.Schumacher2018
+PASS.Heart_Failure.Shah2020
+GBMI.Primary_Apen_Angle_Glaucoma
+PANUKBB.Atrial_Fibrillation_And_Flutter
+PASS.Varicose_Veins.Ahmed2022
+PANUKBB.Mouth_Teeth_Dental_Problems
+PASS.Alzheimers_Disease.Wightman2021
+PANUKBB.Inguinal_Hernia
+PASS.Endometriosis.Rahmioglu2023
+PASS.Acne_Vulgaris.TederLaving2023
+PASS.Genetic_Generalized_Epilepsy.Berkovic2022
+PASS.Ischemic_Stroke.Malik2018
+GBMI.Abdominal_Aortic_Aneurysm
+PASS.Parkinson.Nalls2019
+PASS.Type_1_Diabetes.Chiou2021
+PASS.Venous_Thromboembolism.Ghouse2023
+PASS.Cancer_Lung.McKay2017
+PANUKBB.Breast_Cancer_female
+UKB_460K.cancer_PROSTATE
+GBMI.Acute_Appendicitis
+PASS.Gout.Donertas2021
+PANUKBB.C44_Other_Malignant_Neoplasms_Of_Skin
+PASS.Cancer_Esophageal.Gharahkhani2016
+PASS.Thumb_Osteoarthritis.Boer2021
+PASS.Autism.PGC2013
+PASS.Tourette_Syndrome.Yu2019
+PASS.Primary_Biliary_Cirrhosis.Cordell2015
+PASS.Covid19_Infection.hg_v7
+PASS.Lupus.Bentham2015
+PASS.Celiac.Dubois2010
+PASS.BMI.Yengo2018
+PASS.Forced_Vital_Capacity.Shrine2023
+PASS.Intelligence.SavageJansen2018
+UKB_460K.bp_DIASTOLICadjMEDz
+PASS.Daytime_Napping.Dashti2021
+UKB_460K.blood_WHITE_COUNT
+PASS.Height.Yengo2022
+UKB_460K.other_MORNINGPERSON
+UKB_460K.repro_MENARCHE_AGE
+UKB_460K.biochemistry_TotalProtein
+UKB_460K.body_WHRadjBMIz
+PASS.Reaction_Time.Davies2018
+UKB_460K.biochemistry_Creatinine
+PASS.Snoring.Campos2020
+UKB_460K.blood_RED_COUNT
+PASS.Fetal_Birth_Weight.Warrington2019
+UKB_460K.bmd_HEEL_TSCOREz
+PASS.Sleep_Duration.Dashti2019
+PASS.Maternal_Birth_Weight.Warrington2019
+PASS.Eosinophil_Percentage.Vuckovic2020
+UKB_460K.biochemistry_IGF1
+PASS.General_Risk_Tolerance.KarlssonLinner2019
+UKB_460K.biochemistry_AspartateAminotransferase
+PASS.Aging_Parental_Lifespan.Timmers2020
+UKB_460K.blood_RBC_DISTRIB_WIDTH
+UKB_460K.repro_NumberChildrenEverBorn_Pooled
+UKB_460K.biochemistry_Testosterone_Male
+PASS.Physical_Activity.Wang2022
+PASS.Reticulocyte_Count.Vuckovic2020
+PASS.Platelet_Distribution_Width.Vuckovic2020
+PASS.Monocyte_Percentage.Vuckovic2020
+PASS.Age_First_Birth.Barban2016
+UKB_460K.body_BALDING1
+UKB_460K.biochemistry_AlkalinePhosphatase
+PASS.Drinks_Per_Week.Liu2019
+UKB_460K.biochemistry_Phosphate
+PASS.Medication_Use.Wu2019
+UKB_460K.biochemistry_VitaminD
+UKB_460K.biochemistry_Cholesterol
+PASS.Alcohol_use.SanchezRoige2018
+UKB_460K.biochemistry_TotalBilirubin
+PASS.Covid19_Vaccination.Hartonen2023
+UKB_460K.pigment_SUNBURN
+PASS.Basophil_Percentage.Vuckovic2020
+PASS.Education_Years.Rietveld2013
+PASS.HDL.Teslovich2010
+PASS.LDL.Teslovich2010
+PASS.Visceral_Adipose_Tissue_Volume.Agrawal2022
+PASS.Cigarettes_Per_Day.Liu2019
+PASS.Cannabis_Use_Disorder.Johnson2020
+PASS.Telomere_Length.Codd2021
+PASS.Ever_Smoked.TAGC2010
+PASS.Structural_Connectivity_Global.Tissink2023
+PASS.CHIP.Kessler2022

variants/consequence_value_counts.csv

@@ -0,0 +1,23 @@
+consequence,count
+intron_variant,3281331
+intergenic_variant,2262656
+non_coding_transcript_exon_variant,140200
+3_prime_UTR_variant,72024
+downstream_gene_variant,62659
+upstream_gene_variant,61385
+missense_variant,24403
+synonymous_variant,20491
+5_prime_UTR_variant,16887
+splice_polypyrimidine_tract_variant,7260
+splice_region_variant,2941
+splice_donor_region_variant,1235
+splice_donor_variant,673
+splice_donor_5th_base_variant,440
+splice_acceptor_variant,380
+stop_gained,366
+stop_lost,86
+start_lost,78
+mature_miRNA_variant,70
+stop_retained_variant,27
+coding_sequence_variant,3
+incomplete_terminal_codon_variant,2

variants/merged.ensembl_vep.output.tsv.gz_summary.html

@@ -0,0 +1,208 @@
+<html>
+<head>
+  <title>VEP summary</title>
+  <script type="text/javascript" src="http://www.google.com/jsapi"></script>
+  <script type="text/javascript">
+    google.load('visualization', '1', {packages: ['corechart','table']});
+  </script>
+  <script type="text/javascript">
+    
+    function init() {
+      // charts
+      var var_class_pie = drawPie('var_class_pie', 'Variant classes', google.visualization.arrayToDataTable([['Variant class','Count'],['SNV',9988256]]), null);
+var var_class_table = drawTable('var_class_table', 'Variant classes', google.visualization.arrayToDataTable([['Variant class','Count'],['SNV',9988256]]));
+
+          google.visualization.events.addListener(var_class_pie, 'select', function() {
+            var_class_table.setSelection(var_class_pie.getSelection());
+          });
+          google.visualization.events.addListener(var_class_table, 'select', function() {
+            var_class_pie.setSelection(var_class_table.getSelection());
+          });
+        var var_cons_pie = drawPie('var_cons_pie', 'Consequences (most severe)', google.visualization.arrayToDataTable([['Consequence type','Count'],['splice_donor_variant',1091],['splice_acceptor_variant',634],['splice_donor_5th_base_variant',748],['stop_gained',614],['stop_lost',147],['start_lost',133],['missense_variant',41215],['splice_polypyrimidine_tract_variant',12082],['splice_region_variant',4887],['incomplete_terminal_codon_variant',3],['splice_donor_region_variant',2055],['synonymous_variant',34556],['stop_retained_variant',53],['coding_sequence_variant',5],['mature_miRNA_variant',120],['5_prime_UTR_variant',28582],['3_prime_UTR_variant',121697],['non_coding_transcript_exon_variant',235231],['intron_variant',5510354],['upstream_gene_variant',102731],['downstream_gene_variant',105422],['intergenic_variant',3785896]]), {slices: [{color: "#ff7f50"}, {color: "#ff7f50"}, {}, {color: "#ff0000"}, {color: "#ff0000"}, {}, {color: "#ffd700"}, {}, {color: "#ff7f50"}, {color: "#ff00ff"}, {}, {color: "#76ee00"}, {color: "#76ee00"}, {color: "#458b00"}, {}, {}, {}, {}, {color: "#02599c"}, {color: "#a2b5cd"}, {color: "#a2b5cd"}, {color: "gray"}]});
+var var_cons_table = drawTable('var_cons_table', 'Consequences (most severe)', google.visualization.arrayToDataTable([['Consequence type','Count'],['splice_donor_variant',1091],['splice_acceptor_variant',634],['splice_donor_5th_base_variant',748],['stop_gained',614],['stop_lost',147],['start_lost',133],['missense_variant',41215],['splice_polypyrimidine_tract_variant',12082],['splice_region_variant',4887],['incomplete_terminal_codon_variant',3],['splice_donor_region_variant',2055],['synonymous_variant',34556],['stop_retained_variant',53],['coding_sequence_variant',5],['mature_miRNA_variant',120],['5_prime_UTR_variant',28582],['3_prime_UTR_variant',121697],['non_coding_transcript_exon_variant',235231],['intron_variant',5510354],['upstream_gene_variant',102731],['downstream_gene_variant',105422],['intergenic_variant',3785896]]));
+
+          google.visualization.events.addListener(var_cons_pie, 'select', function() {
+            var_cons_table.setSelection(var_cons_pie.getSelection());
+          });
+          google.visualization.events.addListener(var_cons_table, 'select', function() {
+            var_cons_pie.setSelection(var_cons_table.getSelection());
+          });
+        var consequences_pie = drawPie('consequences_pie', 'Consequences (all)', google.visualization.arrayToDataTable([['Consequence type','Count'],]), {slices: []});
+var consequences_table = drawTable('consequences_table', 'Consequences (all)', google.visualization.arrayToDataTable([['Consequence type','Count'],]));
+
+          google.visualization.events.addListener(consequences_pie, 'select', function() {
+            consequences_table.setSelection(consequences_pie.getSelection());
+          });
+          google.visualization.events.addListener(consequences_table, 'select', function() {
+            consequences_pie.setSelection(consequences_table.getSelection());
+          });
+        var coding_pie = drawPie('coding_pie', 'Coding consequences', google.visualization.arrayToDataTable([['Consequence type','Count'],]), {slices: []});
+var coding_table = drawTable('coding_table', 'Coding consequences', google.visualization.arrayToDataTable([['Consequence type','Count'],]));
+
+          google.visualization.events.addListener(coding_pie, 'select', function() {
+            coding_table.setSelection(coding_pie.getSelection());
+          });
+          google.visualization.events.addListener(coding_table, 'select', function() {
+            coding_pie.setSelection(coding_table.getSelection());
+          });
+        var chr_bar = drawBar('chr_bar', 'Variants by chromosome', google.visualization.arrayToDataTable([['Chromosome','Count'],['1',777275],['2',839161],['3',706159],['4',729546],['5',632996],['6',663662],['7',588211],['8',549211],['9',437801],['10',510371],['11',493736],['12',480027],['13',366085],['14',323942],['15',286913],['16',316958],['17',268697],['18',285134],['19',231589],['20',221581],['21',138654],['22',140547]]), {legend: {position: "none"}});
+var chr_table = drawTable('chr_table', 'Variants by chromosome', google.visualization.arrayToDataTable([['Chromosome','Count'],['1',777275],['2',839161],['3',706159],['4',729546],['5',632996],['6',663662],['7',588211],['8',549211],['9',437801],['10',510371],['11',493736],['12',480027],['13',366085],['14',323942],['15',286913],['16',316958],['17',268697],['18',285134],['19',231589],['20',221581],['21',138654],['22',140547]]));
+
+          google.visualization.events.addListener(chr_bar, 'select', function() {
+            chr_table.setSelection(chr_bar.getSelection());
+          });
+          google.visualization.events.addListener(chr_table, 'select', function() {
+            chr_bar.setSelection(chr_table.getSelection());
+          });
+        var chr_1_area = drawArea('chr_1_area', 'Distribution of variants on chromosome 1', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',1175],['1',4402],['2',4020],['3',5122],['4',5511],['5',4553],['6',3651],['7',3713],['8',2775],['9',3389],['10',3579],['11',3709],['12',3594],['13',3131],['14',4397],['15',4154],['16',3231],['17',4174],['18',4681],['19',3997],['20',3523],['21',4072],['22',3715],['23',2478],['24',3332],['25',2733],['26',2620],['27',2416],['28',2884],['29',3718],['30',4460],['31',3110],['32',2063],['33',3043],['34',3735],['35',2035],['36',2829],['37',3591],['38',3430],['39',3266],['40',3508],['41',3287],['42',2972],['43',2989],['44',3159],['45',2467],['46',3142],['47',3562],['48',2998],['49',1940],['50',2030],['51',2999],['52',2521],['53',3702],['54',4111],['55',3997],['56',4100],['57',3707],['58',3826],['59',3106],['60',3302],['61',3291],['62',3470],['63',3521],['64',3308],['65',3366],['66',3504],['67',3449],['68',3636],['69',3156],['70',3093],['71',2572],['72',2744],['73',3404],['74',2661],['75',3605],['76',3729],['77',3156],['78',3809],['79',4132],['80',4350],['81',4057],['82',3761],['83',3696],['84',3397],['85',3503],['86',4025],['87',3292],['88',3184],['89',2894],['90',3151],['91',4117],['92',2600],['93',3058],['94',3371],['95',3472],['96',3209],['97',3060],['98',3582],['99',3843],['100',2822],['101',4438],['102',4462],['103',2704],['104',5110],['105',4136],['106',3528],['107',3331],['108',3206],['109',3146],['110',3467],['111',4041],['112',3087],['113',2663],['114',3367],['115',4148],['116',2689],['117',3434],['118',3284],['119',3213],['120',416],['121',1083],['122',0],['123',0],['124',0],['125',0],['126',0],['127',0],['128',0],['129',0],['130',0],['131',0],['132',0],['133',0],['134',0],['135',0],['136',0],['137',0],['138',0],['139',0],['140',0],['141',0],['142',0],['143',854],['144',317],['145',670],['146',410],['147',4240],['148',990],['149',986],['150',2635],['151',2462],['152',2911],['153',3026],['154',2585],['155',1751],['156',2792],['157',4097],['158',4429],['159',3668],['160',3486],['161',3664],['162',3799],['163',4113],['164',3487],['165',3756],['166',3973],['167',3778],['168',3812],['169',4332],['170',3625],['171',3793],['172',2750],['173',2719],['174',2687],['175',3832],['176',2879],['177',3177],['178',2889],['179',4292],['180',3327],['181',3534],['182',3429],['183',3602],['184',2992],['185',3054],['186',3305],['187',3956],['188',4802],['189',3934],['190',3420],['191',3219],['192',3174],['193',3472],['194',4213],['195',3794],['196',2848],['197',2111],['198',3406],['199',3733],['200',3747],['201',3856],['202',2951],['203',3483],['204',3484],['205',3669],['206',2579],['207',3170],['208',3580],['209',3335],['210',3889],['211',3968],['212',4074],['213',3000],['214',3859],['215',3212],['216',3430],['217',4283],['218',4018],['219',3762],['220',3471],['221',3682],['222',3104],['223',3274],['224',3192],['225',3599],['226',2925],['227',4202],['228',2855],['229',3069],['230',4540],['231',3387],['232',4314],['233',4694],['234',4257],['235',3087],['236',4839],['237',4529],['238',5104],['239',3930],['240',4182],['241',4467],['242',4718],['243',2168],['244',3946],['245',4766],['246',5230],['247',5144],['248',3821]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_10_area = drawArea('chr_10_area', 'Distribution of variants on chromosome 10', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',3493],['1',5212],['2',5526],['3',5194],['4',4654],['5',5474],['6',5185],['7',4560],['8',4637],['9',3606],['10',4262],['11',4250],['12',4618],['13',4631],['14',4678],['15',4152],['16',4037],['17',4174],['18',5009],['19',4822],['20',4529],['21',2547],['22',2869],['23',3419],['24',3382],['25',4610],['26',4790],['27',4365],['28',4358],['29',5072],['30',4067],['31',2651],['32',4156],['33',4125],['34',2913],['35',2789],['36',4156],['37',4009],['38',5119],['39',0],['40',0],['41',2055],['42',4290],['43',4273],['44',4750],['45',2949],['46',1990],['47',1341],['48',3101],['49',3666],['50',3052],['51',3983],['52',4061],['53',4510],['54',4766],['55',3776],['56',4846],['57',5098],['58',3366],['59',3425],['60',3845],['61',3599],['62',3605],['63',3562],['64',2948],['65',4721],['66',5311],['67',3520],['68',3653],['69',4554],['70',4557],['71',4260],['72',2189],['73',2862],['74',2198],['75',2575],['76',3271],['77',3492],['78',3382],['79',4898],['80',4628],['81',3954],['82',3500],['83',4670],['84',4069],['85',4041],['86',3862],['87',2734],['88',3498],['89',4149],['90',4157],['91',3003],['92',2778],['93',4223],['94',2974],['95',3961],['96',3172],['97',3288],['98',3463],['99',3247],['100',2945],['101',2444],['102',2435],['103',2891],['104',3156],['105',3493],['106',3895],['107',4318],['108',4233],['109',3382],['110',3506],['111',3948],['112',2934],['113',3220],['114',3415],['115',2773],['116',3338],['117',3524],['118',3592],['119',3582],['120',4209],['121',3811],['122',4081],['123',4529],['124',3440],['125',3621],['126',4109],['127',5243],['128',4608],['129',4356],['130',5468],['131',5163],['132',5421],['133',3517]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_11_area = drawArea('chr_11_area', 'Distribution of variants on chromosome 11', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',3864],['1',4965],['2',4471],['3',4790],['4',5444],['5',6250],['6',4105],['7',5093],['8',3954],['9',3472],['10',4001],['11',4664],['12',3867],['13',4146],['14',2458],['15',3128],['16',2712],['17',3142],['18',3964],['19',3676],['20',4437],['21',4402],['22',3205],['23',5155],['24',5016],['25',5912],['26',5267],['27',2834],['28',2478],['29',3082],['30',2771],['31',2016],['32',3691],['33',3282],['34',4135],['35',3480],['36',4007],['37',4195],['38',3546],['39',3581],['40',3311],['41',3949],['42',4793],['43',3788],['44',3936],['45',3297],['46',1865],['47',2174],['48',4489],['49',4130],['50',4367],['51',0],['52',0],['53',0],['54',3068],['55',5972],['56',4752],['57',2671],['58',3832],['59',2987],['60',3665],['61',2590],['62',3027],['63',2964],['64',2459],['65',2370],['66',2017],['67',3644],['68',3047],['69',4020],['70',3412],['71',4631],['72',2865],['73',2913],['74',3100],['75',2723],['76',3598],['77',3004],['78',3182],['79',3865],['80',4261],['81',4642],['82',4097],['83',3731],['84',3408],['85',3138],['86',4265],['87',4842],['88',4487],['89',2543],['90',3477],['91',3948],['92',3446],['93',3655],['94',3728],['95',3451],['96',3880],['97',3941],['98',5092],['99',5330],['100',4263],['101',4212],['102',3703],['103',4601],['104',3117],['105',3292],['106',3303],['107',4227],['108',2613],['109',2872],['110',3180],['111',3129],['112',3359],['113',3375],['114',3447],['115',3078],['116',4254],['117',3948],['118',3356],['119',3101],['120',3465],['121',3228],['122',3354],['123',4496],['124',3934],['125',3727],['126',3952],['127',3726],['128',3855],['129',3385],['130',4156],['131',4013],['132',4096],['133',3905],['134',5036],['135',481]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_12_area = drawArea('chr_12_area', 'Distribution of variants on chromosome 12', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',4044],['1',4364],['2',3502],['3',4489],['4',3435],['5',3929],['6',3524],['7',4019],['8',3893],['9',3837],['10',4380],['11',4088],['12',3912],['13',3843],['14',3659],['15',2668],['16',2782],['17',4048],['18',4115],['19',4685],['20',4712],['21',3670],['22',3110],['23',3319],['24',4098],['25',4149],['26',3897],['27',3872],['28',3716],['29',4434],['30',5411],['31',4703],['32',4916],['33',4355],['34',3747],['35',0],['36',0],['37',3311],['38',4390],['39',3023],['40',4282],['41',4362],['42',3439],['43',4033],['44',3188],['45',2691],['46',3140],['47',4096],['48',3684],['49',2665],['50',2360],['51',2923],['52',4747],['53',2767],['54',3344],['55',3139],['56',2302],['57',2220],['58',3624],['59',3263],['60',3351],['61',3872],['62',3724],['63',4362],['64',2574],['65',2373],['66',3541],['67',3737],['68',3477],['69',4033],['70',4087],['71',3419],['72',3255],['73',3404],['74',3491],['75',3277],['76',3430],['77',4207],['78',3172],['79',2387],['80',3333],['81',3491],['82',3318],['83',4547],['84',3593],['85',3165],['86',3505],['87',3618],['88',2125],['89',2432],['90',3191],['91',3444],['92',3288],['93',3545],['94',4516],['95',4454],['96',3752],['97',3834],['98',3294],['99',3018],['100',3154],['101',4178],['102',3311],['103',3917],['104',3830],['105',3901],['106',3125],['107',3510],['108',3721],['109',3573],['110',2805],['111',1545],['112',2015],['113',4050],['114',4399],['115',4095],['116',3464],['117',3913],['118',3701],['119',3510],['120',3284],['121',3633],['122',2838],['123',3365],['124',4287],['125',4095],['126',4306],['127',4623],['128',4863],['129',4630],['130',5457],['131',4847],['132',4533],['133',595]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_13_area = drawArea('chr_13_area', 'Distribution of variants on chromosome 13', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',0],['1',0],['2',0],['3',0],['4',0],['5',0],['6',0],['7',0],['8',0],['9',0],['10',0],['11',0],['12',0],['13',0],['14',0],['15',0],['16',0],['17',0],['18',2818],['19',5432],['20',4210],['21',4139],['22',4866],['23',5159],['24',5262],['25',3813],['26',4594],['27',4416],['28',3231],['29',4417],['30',3930],['31',3663],['32',3116],['33',3531],['34',3307],['35',3562],['36',3437],['37',4162],['38',3666],['39',3811],['40',3861],['41',3167],['42',3918],['43',3376],['44',2892],['45',3247],['46',3545],['47',4353],['48',3557],['49',3314],['50',3087],['51',3065],['52',3078],['53',3133],['54',3544],['55',3413],['56',2346],['57',2807],['58',3649],['59',3486],['60',3995],['61',4362],['62',4272],['63',4300],['64',3893],['65',2861],['66',3008],['67',3680],['68',3706],['69',4667],['70',4584],['71',3402],['72',4114],['73',4002],['74',3947],['75',3576],['76',3932],['77',3181],['78',3962],['79',3030],['80',3651],['81',3797],['82',3356],['83',3535],['84',4006],['85',4700],['86',3643],['87',2900],['88',4020],['89',4222],['90',4026],['91',3324],['92',3720],['93',3546],['94',3877],['95',3798],['96',2879],['97',3075],['98',4405],['99',3710],['100',3336],['101',4096],['102',3739],['103',4258],['104',4241],['105',4665],['106',3510],['107',4222],['108',4699],['109',4382],['110',4892],['111',4041],['112',4589],['113',3807],['114',1564]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_14_area = drawArea('chr_14_area', 'Distribution of variants on chromosome 14', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',0],['1',0],['2',0],['3',0],['4',0],['5',0],['6',0],['7',0],['8',0],['9',0],['10',0],['11',0],['12',0],['13',0],['14',0],['15',0],['16',0],['17',0],['18',737],['19',1473],['20',5192],['21',4165],['22',4406],['23',3596],['24',3771],['25',3796],['26',3121],['27',3996],['28',3514],['29',2689],['30',3165],['31',3345],['32',3577],['33',3922],['34',4354],['35',2965],['36',3498],['37',2887],['38',3373],['39',3646],['40',4751],['41',3786],['42',4447],['43',4338],['44',3925],['45',2653],['46',3420],['47',4426],['48',4224],['49',3066],['50',3361],['51',4249],['52',4040],['53',3366],['54',3224],['55',4002],['56',3995],['57',3889],['58',3018],['59',3616],['60',2339],['61',3480],['62',4391],['63',3343],['64',3331],['65',3445],['66',3866],['67',3537],['68',3423],['69',3047],['70',4447],['71',3043],['72',4298],['73',3473],['74',3002],['75',2886],['76',4062],['77',4281],['78',3511],['79',3136],['80',3573],['81',3973],['82',3392],['83',3680],['84',3818],['85',3905],['86',4050],['87',4002],['88',3292],['89',3609],['90',3664],['91',3523],['92',4208],['93',3633],['94',4866],['95',4632],['96',3833],['97',3834],['98',5055],['99',3658],['100',3255],['101',3848],['102',3397],['103',3870],['104',4578],['105',2660],['106',2809],['107',0]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_15_area = drawArea('chr_15_area', 'Distribution of variants on chromosome 15', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',0],['1',0],['2',0],['3',0],['4',0],['5',0],['6',0],['7',0],['8',0],['9',0],['10',0],['11',0],['12',0],['13',0],['14',0],['15',0],['16',0],['17',0],['18',0],['19',759],['20',915],['21',330],['22',2518],['23',3437],['24',7105],['25',4622],['26',3848],['27',3881],['28',2161],['29',3773],['30',1824],['31',3605],['32',2660],['33',5165],['34',3495],['35',3204],['36',3660],['37',3644],['38',3784],['39',3574],['40',2812],['41',2887],['42',2618],['43',1775],['44',2481],['45',3013],['46',3494],['47',3606],['48',2288],['49',3401],['50',3558],['51',3069],['52',3217],['53',4458],['54',4960],['55',4421],['56',3170],['57',4200],['58',3728],['59',3859],['60',3476],['61',3805],['62',3820],['63',3595],['64',2708],['65',2820],['66',4131],['67',2914],['68',3133],['69',3245],['70',3170],['71',3302],['72',2273],['73',3060],['74',2536],['75',2421],['76',2568],['77',3635],['78',3823],['79',4170],['80',3650],['81',3170],['82',2671],['83',2794],['84',2579],['85',4369],['86',4893],['87',4079],['88',3674],['89',3531],['90',3999],['91',3987],['92',4543],['93',5310],['94',4090],['95',3494],['96',3647],['97',4439],['98',4588],['99',4431],['100',5237],['101',4154]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_16_area = drawArea('chr_16_area', 'Distribution of variants on chromosome 16', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',4912],['1',5573],['2',2925],['3',3564],['4',4201],['5',6228],['6',7329],['7',7553],['8',6884],['9',5007],['10',5270],['11',4733],['12',5981],['13',4849],['14',2069],['15',2900],['16',2864],['17',4059],['18',1936],['19',3687],['20',3557],['21',1908],['22',2219],['23',3675],['24',3797],['25',4224],['26',4398],['27',3268],['28',1941],['29',2283],['30',1499],['31',2416],['32',1704],['33',1164],['34',1131],['35',2392],['36',177],['37',0],['38',0],['39',0],['40',0],['41',0],['42',0],['43',0],['44',0],['45',0],['46',1080],['47',1730],['48',2533],['49',3375],['50',2836],['51',3530],['52',3611],['53',3210],['54',4050],['55',4459],['56',3849],['57',4099],['58',4632],['59',3504],['60',3785],['61',2770],['62',3391],['63',3058],['64',3742],['65',3847],['66',3065],['67',1811],['68',3018],['69',2890],['70',2440],['71',2794],['72',3170],['73',3740],['74',4078],['75',4128],['76',4558],['77',6012],['78',7804],['79',6100],['80',5277],['81',6168],['82',6245],['83',6736],['84',6878],['85',4973],['86',6404],['87',5772],['88',5727],['89',5164],['90',638]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_17_area = drawArea('chr_17_area', 'Distribution of variants on chromosome 17', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',4507],['1',5105],['2',3707],['3',4692],['4',3944],['5',4583],['6',4422],['7',3504],['8',3296],['9',4205],['10',4011],['11',3553],['12',3921],['13',5108],['14',4869],['15',3764],['16',3206],['17',3058],['18',2612],['19',2024],['20',2750],['21',1736],['22',2297],['23',0],['24',0],['25',0],['26',295],['27',3465],['28',1813],['29',2249],['30',2869],['31',3192],['32',2533],['33',4116],['34',3672],['35',3407],['36',2597],['37',2273],['38',2241],['39',3000],['40',3154],['41',3870],['42',2018],['43',2645],['44',2719],['45',3890],['46',2507],['47',3243],['48',3169],['49',2870],['50',3407],['51',3377],['52',3804],['53',3153],['54',3438],['55',3367],['56',3120],['57',3789],['58',2303],['59',2285],['60',1667],['61',2267],['62',2713],['63',2366],['64',1845],['65',3890],['66',4439],['67',2917],['68',3786],['69',2808],['70',3583],['71',3646],['72',3883],['73',4166],['74',4105],['75',3469],['76',4053],['77',4727],['78',4599],['79',4243],['80',4793],['81',4560],['82',4664],['83',784]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_18_area = drawArea('chr_18_area', 'Distribution of variants on chromosome 18', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',4641],['1',4066],['2',4362],['3',4367],['4',4527],['5',4110],['6',3679],['7',3903],['8',4802],['9',4177],['10',4564],['11',4602],['12',3877],['13',4003],['14',4108],['15',1323],['16',0],['17',0],['18',0],['19',0],['20',117],['21',1655],['22',3132],['23',2672],['24',3647],['25',3340],['26',3839],['27',3098],['28',3108],['29',3320],['30',3966],['31',3591],['32',2953],['33',3048],['34',2756],['35',3047],['36',3038],['37',2867],['38',3272],['39',2929],['40',3824],['41',3194],['42',3302],['43',3459],['44',2858],['45',3790],['46',3331],['47',3445],['48',4048],['49',3829],['50',3651],['51',3500],['52',4798],['53',4658],['54',3339],['55',2533],['56',3082],['57',4127],['58',3787],['59',4797],['60',3801],['61',3878],['62',3564],['63',3835],['64',4300],['65',3375],['66',3704],['67',4555],['68',4189],['69',4088],['70',3786],['71',4771],['72',4797],['73',4693],['74',3703],['75',4534],['76',4799],['77',5608],['78',5708],['79',4624],['80',964]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_19_area = drawArea('chr_19_area', 'Distribution of variants on chromosome 19', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',5011],['1',4345],['2',5155],['3',4595],['4',4577],['5',4268],['6',4961],['7',4644],['8',4334],['9',4161],['10',3404],['11',3857],['12',2937],['13',3405],['14',4303],['15',4886],['16',3681],['17',4439],['18',3570],['19',3100],['20',5646],['21',4421],['22',4644],['23',3482],['24',2035],['25',0],['26',0],['27',4480],['28',4861],['29',4609],['30',3062],['31',2974],['32',3906],['33',4271],['34',3543],['35',3719],['36',3154],['37',2566],['38',3643],['39',3862],['40',3793],['41',3190],['42',2983],['43',4693],['44',3872],['45',3600],['46',3934],['47',3602],['48',4476],['49',3906],['50',4031],['51',4603],['52',5681],['53',5803],['54',5393],['55',4973],['56',4473],['57',3921],['58',2151]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_2_area = drawArea('chr_2_area', 'Distribution of variants on chromosome 2', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',4196],['1',5561],['2',4126],['3',4725],['4',4435],['5',4035],['6',4095],['7',3684],['8',3329],['9',3793],['10',4839],['11',4148],['12',3603],['13',4228],['14',3841],['15',3695],['16',3804],['17',3683],['18',4260],['19',3840],['20',3717],['21',2911],['22',3124],['23',3821],['24',3205],['25',2760],['26',2894],['27',2189],['28',3230],['29',4245],['30',3903],['31',3767],['32',3499],['33',5521],['34',4638],['35',5183],['36',4209],['37',4521],['38',4114],['39',3205],['40',4363],['41',4850],['42',3736],['43',4097],['44',3820],['45',4466],['46',4562],['47',4139],['48',4041],['49',4058],['50',3731],['51',4025],['52',4909],['53',4453],['54',3788],['55',4218],['56',4195],['57',4341],['58',2655],['59',3491],['60',3141],['61',2940],['62',2730],['63',2692],['64',3384],['65',3812],['66',3426],['67',4523],['68',3758],['69',2759],['70',3668],['71',4062],['72',2224],['73',2992],['74',2482],['75',3936],['76',4924],['77',4319],['78',3778],['79',4365],['80',3228],['81',4093],['82',3360],['83',3669],['84',2910],['85',3638],['86',2881],['87',1722],['88',2885],['89',892],['90',732],['91',785],['92',525],['93',0],['94',654],['95',1457],['96',1853],['97',1824],['98',2899],['99',2851],['100',3955],['101',3315],['102',3453],['103',3143],['104',3025],['105',4550],['106',4035],['107',3391],['108',3730],['109',2862],['110',1490],['111',3070],['112',2766],['113',3756],['114',2763],['115',3066],['116',4348],['117',3909],['118',3521],['119',3413],['120',3407],['121',3399],['122',3461],['123',4080],['124',3573],['125',3811],['126',3949],['127',3544],['128',3916],['129',3575],['130',2513],['131',3839],['132',3596],['133',3447],['134',3300],['135',1949],['136',3781],['137',4027],['138',2903],['139',4082],['140',4525],['141',4723],['142',3665],['143',2857],['144',1853],['145',2865],['146',2432],['147',2562],['148',2822],['149',3384],['150',3526],['151',3137],['152',3548],['153',3794],['154',3415],['155',3108],['156',2722],['157',2534],['158',4420],['159',3862],['160',3705],['161',2584],['162',2747],['163',2792],['164',2809],['165',2713],['166',3821],['167',3677],['168',3829],['169',4052],['170',4069],['171',3085],['172',3977],['173',3855],['174',2723],['175',3421],['176',3477],['177',3663],['178',2970],['179',4122],['180',4092],['181',3313],['182',3570],['183',4186],['184',3128],['185',3083],['186',3054],['187',3118],['188',3319],['189',2961],['190',2972],['191',2963],['192',2456],['193',2347],['194',3136],['195',3826],['196',3158],['197',2475],['198',2636],['199',2146],['200',2743],['201',2971],['202',2396],['203',2514],['204',3061],['205',3465],['206',3332],['207',2989],['208',3722],['209',3559],['210',2927],['211',4182],['212',4212],['213',3536],['214',3705],['215',3604],['216',3371],['217',3648],['218',2357],['219',3412],['220',3638],['221',3189],['222',3396],['223',4076],['224',3431],['225',3132],['226',3139],['227',5037],['228',3738],['229',3570],['230',4339],['231',3594],['232',3837],['233',3982],['234',4972],['235',4099],['236',3882],['237',4401],['238',4400],['239',4804],['240',5090],['241',4411],['242',514]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_20_area = drawArea('chr_20_area', 'Distribution of variants on chromosome 20', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',4501],['1',3770],['2',3914],['3',3812],['4',4745],['5',4543],['6',3891],['7',3761],['8',3786],['9',3505],['10',3711],['11',4079],['12',4091],['13',4092],['14',3140],['15',4262],['16',4645],['17',4192],['18',4393],['19',3922],['20',2864],['21',2482],['22',3210],['23',4379],['24',4563],['25',3293],['26',809],['27',0],['28',0],['29',0],['30',1002],['31',2303],['32',2882],['33',2595],['34',2003],['35',2769],['36',1798],['37',2917],['38',3159],['39',2970],['40',3416],['41',3078],['42',3857],['43',3597],['44',3145],['45',3740],['46',3313],['47',3620],['48',3904],['49',3602],['50',3555],['51',4187],['52',3414],['53',3902],['54',4279],['55',4173],['56',4116],['57',4636],['58',3504],['59',3520],['60',4266],['61',5336],['62',4668],['63',4918],['64',1082]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_21_area = drawArea('chr_21_area', 'Distribution of variants on chromosome 21', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',0],['1',0],['2',0],['3',0],['4',0],['5',0],['6',0],['7',0],['8',274],['9',312],['10',511],['11',0],['12',45],['13',3593],['14',4841],['15',3195],['16',3408],['17',4244],['18',4662],['19',4421],['20',4770],['21',4301],['22',3389],['23',4676],['24',4753],['25',3145],['26',4200],['27',4289],['28',4113],['29',2937],['30',3768],['31',3741],['32',3313],['33',3139],['34',3396],['35',3928],['36',4268],['37',3765],['38',3774],['39',4413],['40',4690],['41',4781],['42',5483],['43',3709],['44',4561],['45',4338],['46',3508]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_22_area = drawArea('chr_22_area', 'Distribution of variants on chromosome 22', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',0],['1',0],['2',0],['3',0],['4',0],['5',0],['6',0],['7',0],['8',0],['9',0],['10',0],['11',0],['12',0],['13',0],['14',0],['15',812],['16',2739],['17',4753],['18',1972],['19',4295],['20',3836],['21',2385],['22',5294],['23',4803],['24',3572],['25',4510],['26',4318],['27',4554],['28',2504],['29',3284],['30',3393],['31',3273],['32',4759],['33',4262],['34',4804],['35',3679],['36',4617],['37',3537],['38',3047],['39',3003],['40',2448],['41',2716],['42',3816],['43',4460],['44',5563],['45',4407],['46',4551],['47',4437],['48',6457],['49',5827],['50',3860]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_3_area = drawArea('chr_3_area', 'Distribution of variants on chromosome 3', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',4365],['1',6334],['2',5335],['3',5586],['4',4239],['5',5537],['6',5025],['7',4711],['8',4667],['9',3366],['10',4090],['11',3852],['12',3318],['13',4350],['14',4011],['15',3223],['16',4326],['17',2864],['18',3208],['19',2596],['20',4581],['21',5648],['22',4516],['23',3828],['24',4227],['25',3933],['26',4252],['27',4132],['28',3155],['29',4370],['30',4292],['31',3579],['32',4358],['33',3277],['34',3427],['35',3383],['36',3803],['37',2937],['38',3299],['39',4063],['40',2811],['41',3665],['42',3215],['43',2708],['44',2478],['45',3707],['46',3641],['47',1381],['48',1677],['49',1780],['50',2152],['51',1957],['52',2206],['53',2991],['54',3705],['55',3890],['56',3921],['57',2864],['58',3314],['59',4021],['60',5030],['61',4117],['62',3923],['63',3952],['64',3959],['65',4415],['66',3893],['67',3884],['68',3847],['69',3747],['70',2977],['71',3299],['72',3487],['73',3900],['74',3526],['75',3648],['76',3717],['77',3447],['78',3282],['79',3168],['80',3471],['81',2946],['82',3271],['83',2939],['84',3876],['85',3382],['86',3665],['87',3960],['88',3795],['89',3070],['90',1452],['91',0],['92',0],['93',405],['94',2844],['95',4354],['96',3339],['97',1931],['98',4811],['99',4135],['100',3559],['101',3115],['102',3167],['103',4265],['104',4387],['105',4127],['106',3985],['107',2953],['108',3263],['109',3611],['110',3376],['111',3456],['112',4330],['113',3487],['114',2770],['115',3057],['116',3544],['117',3743],['118',3553],['119',3629],['120',3634],['121',3430],['122',3545],['123',3176],['124',3902],['125',4674],['126',4109],['127',3544],['128',3435],['129',2756],['130',3389],['131',3756],['132',3798],['133',3779],['134',3327],['135',2742],['136',2283],['137',3426],['138',2209],['139',3244],['140',3417],['141',3431],['142',2902],['143',3799],['144',3639],['145',4237],['146',4050],['147',3282],['148',3653],['149',3794],['150',3284],['151',3574],['152',3176],['153',3817],['154',3348],['155',3553],['156',3385],['157',3398],['158',3408],['159',3091],['160',2986],['161',3721],['162',4862],['163',3963],['164',3622],['165',3312],['166',4604],['167',3236],['168',2833],['169',3419],['170',3094],['171',3511],['172',3648],['173',3047],['174',4036],['175',4219],['176',4128],['177',3628],['178',3220],['179',3108],['180',2887],['181',2551],['182',2442],['183',3446],['184',3481],['185',2842],['186',3702],['187',3990],['188',3583],['189',3989],['190',4790],['191',4807],['192',4065],['193',3780],['194',5366],['195',4481],['196',4286],['197',4070],['198',620]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_4_area = drawArea('chr_4_area', 'Distribution of variants on chromosome 4', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',4093],['1',4087],['2',3660],['3',5292],['4',5307],['5',5692],['6',4536],['7',6182],['8',5476],['9',5465],['10',5137],['11',4768],['12',4816],['13',4014],['14',4895],['15',3563],['16',3843],['17',3699],['18',3954],['19',4223],['20',3889],['21',4485],['22',3534],['23',3393],['24',3667],['25',3962],['26',2753],['27',4334],['28',4461],['29',3975],['30',4399],['31',4460],['32',5233],['33',2704],['34',3725],['35',5074],['36',3977],['37',4763],['38',4488],['39',3337],['40',3834],['41',3861],['42',4340],['43',4310],['44',4121],['45',3298],['46',3111],['47',3242],['48',2692],['49',1751],['50',0],['51',506],['52',3063],['53',3689],['54',3224],['55',4170],['56',4211],['57',4651],['58',4288],['59',4504],['60',5213],['61',3270],['62',3882],['63',4280],['64',4060],['65',4364],['66',3632],['67',3647],['68',3919],['69',4898],['70',4131],['71',3444],['72',3879],['73',2510],['74',3016],['75',3828],['76',4049],['77',3687],['78',3470],['79',3214],['80',3519],['81',3502],['82',3750],['83',3333],['84',2516],['85',4040],['86',3201],['87',3929],['88',3011],['89',4008],['90',3751],['91',3427],['92',2804],['93',3490],['94',3787],['95',4425],['96',3241],['97',2910],['98',3807],['99',4107],['100',3951],['101',3415],['102',3290],['103',3413],['104',2747],['105',3747],['106',3042],['107',3117],['108',3299],['109',3339],['110',3418],['111',3254],['112',3210],['113',3501],['114',3758],['115',4238],['116',4057],['117',3901],['118',3589],['119',4380],['120',4096],['121',4241],['122',3177],['123',3683],['124',4004],['125',3658],['126',4428],['127',2600],['128',2973],['129',3701],['130',4415],['131',3634],['132',4617],['133',3732],['134',3292],['135',3574],['136',3597],['137',4730],['138',3827],['139',3101],['140',3084],['141',3276],['142',3395],['143',3719],['144',2930],['145',2631],['146',2965],['147',2956],['148',3154],['149',3067],['150',2717],['151',3047],['152',3240],['153',4103],['154',3328],['155',3969],['156',4136],['157',3934],['158',2856],['159',3244],['160',4461],['161',4960],['162',4459],['163',3677],['164',4859],['165',4144],['166',4261],['167',4153],['168',3672],['169',3198],['170',4404],['171',3881],['172',2914],['173',3236],['174',4117],['175',3780],['176',4503],['177',3590],['178',4312],['179',5427],['180',4622],['181',5009],['182',4528],['183',4513],['184',4621],['185',4560],['186',4770],['187',4145],['188',6985],['189',5113],['190',43]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_5_area = drawArea('chr_5_area', 'Distribution of variants on chromosome 5', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',4828],['1',5445],['2',5548],['3',5538],['4',3642],['5',4739],['6',4385],['7',4128],['8',5015],['9',3978],['10',4099],['11',3439],['12',3323],['13',4096],['14',3212],['15',3041],['16',3915],['17',3468],['18',4230],['19',3787],['20',3687],['21',3254],['22',3424],['23',4198],['24',3656],['25',3992],['26',4254],['27',3088],['28',3288],['29',5541],['30',4057],['31',4171],['32',3520],['33',3770],['34',4054],['35',3674],['36',3106],['37',3235],['38',3415],['39',3821],['40',3822],['41',3470],['42',3128],['43',3567],['44',2974],['45',2321],['46',1988],['47',0],['48',0],['49',0],['50',3160],['51',2984],['52',3917],['53',3939],['54',4390],['55',3306],['56',3919],['57',3507],['58',4001],['59',3153],['60',2956],['61',2910],['62',3025],['63',3718],['64',2681],['65',3141],['66',3537],['67',3735],['68',3298],['69',1608],['70',104],['71',2166],['72',2607],['73',3463],['74',3556],['75',3476],['76',3822],['77',3933],['78',3237],['79',3275],['80',3906],['81',3192],['82',3271],['83',2962],['84',3127],['85',4642],['86',3477],['87',2670],['88',2365],['89',2087],['90',2764],['91',2643],['92',2570],['93',2082],['94',2494],['95',3065],['96',3394],['97',4574],['98',3451],['99',3865],['100',2986],['101',4102],['102',4241],['103',3124],['104',3732],['105',3198],['106',3362],['107',3545],['108',3537],['109',4398],['110',3402],['111',3577],['112',4337],['113',4851],['114',4140],['115',3884],['116',5160],['117',4508],['118',4676],['119',3303],['120',4412],['121',4874],['122',3064],['123',3541],['124',3777],['125',4286],['126',4094],['127',3491],['128',3686],['129',3857],['130',2570],['131',2360],['132',2820],['133',3643],['134',2411],['135',3755],['136',3002],['137',2859],['138',2440],['139',2048],['140',2274],['141',3541],['142',3899],['143',3301],['144',3304],['145',3138],['146',3151],['147',3213],['148',3665],['149',3366],['150',3224],['151',3883],['152',3607],['153',3870],['154',3302],['155',4279],['156',3318],['157',4073],['158',3223],['159',3497],['160',3762],['161',3515],['162',3250],['163',4069],['164',2772],['165',3857],['166',3216],['167',2906],['168',3671],['169',3885],['170',4039],['171',2957],['172',4069],['173',3933],['174',4271],['175',3511],['176',3083],['177',2910],['178',5211],['179',4185],['180',4797],['181',1490]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_6_area = drawArea('chr_6_area', 'Distribution of variants on chromosome 6', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',3732],['1',4327],['2',4358],['3',4382],['4',4266],['5',4076],['6',5254],['7',4126],['8',4043],['9',3894],['10',3938],['11',4438],['12',3413],['13',3324],['14',3364],['15',4007],['16',3679],['17',3474],['18',4785],['19',4152],['20',3636],['21',3413],['22',4390],['23',4714],['24',4814],['25',4547],['26',3762],['27',3592],['28',4324],['29',9596],['30',6965],['31',12446],['32',13748],['33',6591],['34',3965],['35',3318],['36',3755],['37',3722],['38',3588],['39',4121],['40',4246],['41',3662],['42',3429],['43',3012],['44',3913],['45',3720],['46',3082],['47',3756],['48',3545],['49',3147],['50',3319],['51',3511],['52',4158],['53',3719],['54',3931],['55',4554],['56',3511],['57',1585],['58',2364],['59',0],['60',2575],['61',5122],['62',3720],['63',3124],['64',3986],['65',4823],['66',5320],['67',4851],['68',4529],['69',3839],['70',3785],['71',4477],['72',3239],['73',4020],['74',4230],['75',2688],['76',3680],['77',3975],['78',3896],['79',3565],['80',4639],['81',3720],['82',3808],['83',2514],['84',3566],['85',3857],['86',4004],['87',3562],['88',3326],['89',3437],['90',3447],['91',3389],['92',4247],['93',3253],['94',3778],['95',2605],['96',3637],['97',2728],['98',2799],['99',3840],['100',3147],['101',3856],['102',3335],['103',4727],['104',3272],['105',3242],['106',3627],['107',3253],['108',3163],['109',3454],['110',3644],['111',3134],['112',2715],['113',3332],['114',3086],['115',3748],['116',3272],['117',3673],['118',3485],['119',4181],['120',4246],['121',4052],['122',3499],['123',3689],['124',3340],['125',3145],['126',1854],['127',2794],['128',3096],['129',3712],['130',4264],['131',3536],['132',3915],['133',3099],['134',3648],['135',2929],['136',2298],['137',3655],['138',3844],['139',3631],['140',2325],['141',2931],['142',2932],['143',3196],['144',3116],['145',3206],['146',2735],['147',3409],['148',4360],['149',3402],['150',4987],['151',3961],['152',4138],['153',4139],['154',3884],['155',4333],['156',3187],['157',3860],['158',4411],['159',4197],['160',3812],['161',4248],['162',4464],['163',4040],['164',4578],['165',4531],['166',4604],['167',4628],['168',5766],['169',3910],['170',2977]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_7_area = drawArea('chr_7_area', 'Distribution of variants on chromosome 7', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',6285],['1',5392],['2',5073],['3',5167],['4',5667],['5',5311],['6',5042],['7',5430],['8',5146],['9',5732],['10',5062],['11',4915],['12',5710],['13',5660],['14',4244],['15',4324],['16',4445],['17',3751],['18',3276],['19',5305],['20',3934],['21',4720],['22',4188],['23',3538],['24',4359],['25',4080],['26',3541],['27',3303],['28',3890],['29',4263],['30',3316],['31',3883],['32',4493],['33',3675],['34',4052],['35',3536],['36',3932],['37',4006],['38',4572],['39',3363],['40',2510],['41',3317],['42',3861],['43',3450],['44',2968],['45',4131],['46',4526],['47',4114],['48',4334],['49',4069],['50',3719],['51',3794],['52',5823],['53',4906],['54',5604],['55',4182],['56',4218],['57',3459],['58',0],['59',0],['60',0],['61',822],['62',3333],['63',2730],['64',4595],['65',2911],['66',3560],['67',5765],['68',5016],['69',3127],['70',3173],['71',4051],['72',2910],['73',1935],['74',2219],['75',2584],['76',3354],['77',3284],['78',4713],['79',3471],['80',3234],['81',3525],['82',3657],['83',3954],['84',3641],['85',3285],['86',3173],['87',2810],['88',3015],['89',4126],['90',3906],['91',2913],['92',1973],['93',3206],['94',2538],['95',3423],['96',2807],['97',3993],['98',3441],['99',2513],['100',2447],['101',4295],['102',2492],['103',3734],['104',3832],['105',3204],['106',3916],['107',2916],['108',3524],['109',3588],['110',3505],['111',2527],['112',3159],['113',3129],['114',2494],['115',3020],['116',2852],['117',2294],['118',3481],['119',2427],['120',2641],['121',3493],['122',2927],['123',2788],['124',4151],['125',3893],['126',3444],['127',2791],['128',3629],['129',3538],['130',2943],['131',3559],['132',3422],['133',2352],['134',3843],['135',3658],['136',3856],['137',3146],['138',3971],['139',3272],['140',3288],['141',2823],['142',2539],['143',1992],['144',2792],['145',3931],['146',3854],['147',4699],['148',4046],['149',3960],['150',4310],['151',3979],['152',3468],['153',4835],['154',4764],['155',5298],['156',4780],['157',5211],['158',4762],['159',1475]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_8_area = drawArea('chr_8_area', 'Distribution of variants on chromosome 8', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',5040],['1',6718],['2',5861],['3',10439],['4',9198],['5',8221],['6',7828],['7',2133],['8',4612],['9',5234],['10',5150],['11',5484],['12',3263],['13',7596],['14',6775],['15',6309],['16',5554],['17',6146],['18',6047],['19',5051],['20',4521],['21',4312],['22',3560],['23',4517],['24',3400],['25',3690],['26',4833],['27',4357],['28',2711],['29',3406],['30',3342],['31',3624],['32',3571],['33',3050],['34',3827],['35',2654],['36',1702],['37',2644],['38',2720],['39',2714],['40',4688],['41',3827],['42',2830],['43',3346],['44',0],['45',301],['46',3586],['47',1527],['48',2543],['49',3252],['50',3774],['51',4117],['52',3326],['53',3981],['54',3329],['55',3823],['56',3609],['57',4297],['58',3802],['59',3339],['60',3165],['61',3561],['62',4017],['63',2978],['64',2580],['65',3510],['66',2981],['67',3086],['68',3423],['69',3636],['70',2899],['71',3776],['72',3935],['73',3412],['74',3442],['75',4123],['76',3096],['77',3788],['78',3577],['79',3040],['80',3144],['81',3248],['82',3837],['83',4207],['84',3142],['85',1878],['86',3797],['87',3300],['88',3481],['89',3337],['90',2950],['91',2431],['92',2515],['93',2849],['94',3820],['95',4005],['96',2790],['97',3417],['98',2531],['99',2336],['100',3125],['101',3560],['102',3872],['103',3945],['104',3587],['105',2875],['106',3331],['107',3696],['108',3553],['109',3118],['110',2512],['111',2476],['112',2792],['113',3639],['114',4456],['115',2479],['116',2593],['117',3169],['118',3369],['119',3944],['120',3329],['121',3701],['122',3078],['123',3281],['124',3997],['125',3193],['126',4015],['127',4004],['128',3950],['129',3426],['130',4198],['131',4515],['132',3968],['133',4595],['134',4370],['135',3678],['136',3722],['137',4237],['138',4389],['139',4290],['140',3264],['141',4236],['142',4808],['143',3892],['144',2475],['145',358]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+var chr_9_area = drawArea('chr_9_area', 'Distribution of variants on chromosome 9', google.visualization.arrayToDataTable([['Position (mb)','Count'],['0',5744],['1',5792],['2',5226],['3',3850],['4',5275],['5',3508],['6',4493],['7',5285],['8',5385],['9',5348],['10',5362],['11',5367],['12',4902],['13',4097],['14',4373],['15',4220],['16',4509],['17',4699],['18',4778],['19',3937],['20',3507],['21',4003],['22',3573],['23',4308],['24',4108],['25',4627],['26',3833],['27',4489],['28',4749],['29',4941],['30',4035],['31',4931],['32',4399],['33',3875],['34',2977],['35',2535],['36',3273],['37',3071],['38',3537],['39',1000],['40',697],['41',956],['42',1400],['43',208],['44',0],['45',0],['46',0],['47',0],['48',0],['49',0],['50',0],['51',0],['52',0],['53',0],['54',0],['55',0],['56',0],['57',0],['58',0],['59',0],['60',35],['61',821],['62',136],['63',1230],['64',709],['65',55],['66',637],['67',667],['68',2332],['69',3690],['70',3405],['71',3527],['72',3267],['73',2914],['74',3057],['75',4617],['76',4267],['77',3822],['78',3743],['79',3372],['80',5161],['81',3682],['82',2717],['83',3538],['84',4036],['85',3195],['86',3475],['87',4140],['88',4268],['89',3717],['90',4621],['91',4042],['92',3482],['93',4181],['94',3697],['95',3098],['96',3163],['97',2995],['98',4128],['99',2621],['100',3072],['101',4008],['102',5177],['103',4553],['104',4458],['105',3949],['106',2932],['107',4360],['108',4215],['109',4098],['110',4247],['111',4110],['112',3697],['113',3594],['114',3808],['115',4228],['116',3033],['117',3799],['118',3170],['119',3037],['120',2353],['121',3258],['122',3503],['123',2884],['124',2845],['125',2867],['126',3752],['127',2470],['128',2524],['129',4262],['130',3984],['131',3468],['132',3315],['133',4917],['134',5126],['135',5147],['136',4169],['137',3300],['138',670]]), {hAxis: {title: "Position (mb)", textStyle: {fontSize: 8}}, legend: {position: "none"}});
+
+    }
+    
+    function drawPie(id, title, data, options) {    
+      var pie = new google.visualization.PieChart(document.getElementById(id));
+      pie.draw(data, options);
+      return pie;
+    }
+    function drawBar(id, title, data, options) {
+      var bar = new google.visualization.ColumnChart(document.getElementById(id));
+      bar.draw(data, options);
+      return bar;
+    }
+    function drawTable(id, title, data) {
+      var table = new google.visualization.Table(document.getElementById(id));
+      table.draw(data, null);
+      return table;
+    }
+    function drawLine(id, title, data, options) {
+      var line = new google.visualization.LineChart(document.getElementById(id));
+      line.draw(data, options);
+      return line;
+    }
+    function drawArea(id, title, data, options) {
+      var area = new google.visualization.AreaChart(document.getElementById(id));
+      area.draw(data, options);
+      return area;
+    }
+    google.setOnLoadCallback(init);
+  </script>
+  
+  
+  <style type="text/css">
+    body {
+      font-family: arial, sans-serif;
+      margin: 0px;
+      padding: 0px;
+    }
+    
+    a {color: #36b;}
+    a.visited {color: #006;}
+    
+    .stats_table {
+      margin: 5px;
+    }
+    
+    td {
+      padding: 5px;
+    }
+
+    th.gradient {
+      height: auto;
+    }
+
+    .stats_table tr:nth-child(odd) {
+      background-color: #f0f0f0;
+    }
+    
+    h3 {
+      color: #666;
+    }
+    
+    .masthead {
+      background-color: white;
+      color: rgb(204, 221, 255);
+      height: 80px;
+      width: 100%;
+      padding: 0px;
+    }
+    
+    .main {
+      padding: 10px;
+    }
+    
+    .gradient {
+      background: #333366; /* Old browsers */
+      background: -moz-linear-gradient(left,  #333366 0%, #ffffff 100%); /* FF3.6+ */
+      background: -webkit-gradient(linear, left top, right top, color-stop(0%,#333366), color-stop(100%,#ffffff)); /* Chrome,Safari4+ */
+      background: -webkit-linear-gradient(left,  #333366 0%,#ffffff 100%); /* Chrome10+,Safari5.1+ */
+      background: -o-linear-gradient(left,  #333366 0%,#ffffff 100%); /* Opera 11.10+ */
+      background: -ms-linear-gradient(left,  #333366 0%,#ffffff 100%); /* IE10+ */
+      background: linear-gradient(to right,  #333366 0%,#ffffff 100%); /* W3C */
+      filter: progid:DXImageTransform.Microsoft.gradient( startColorstr='#333366', endColorstr='#ffffff',GradientType=1 ); /* IE6-9 */
+      
+      padding: 0px;
+      height: 80px;
+      width: 700px;
+    }
+    
+    .main_content {
+      margin-left: 300px;
+    }
+    
+    .sidemenu {
+      width: 260px;
+      position: fixed;
+      border-style: solid;
+      border-width: 2px;
+      border-color: rgb(51, 51, 102);
+    }
+    
+    .sidemenu_head {
+      width: 250px;
+      background-color: rgb(51, 51, 102);
+      color: rgb(204, 221, 255);
+      padding: 5px;
+    }
+    
+    .sidemenu_body {
+      width: 250px;
+      padding: 5px;
+    }
+  </style>
+</head>
+<body>
+<div id="masthead" class="masthead">
+  <div style="float: left; display: inline; padding: 10px; height: 80px;">
+    <a href="http://www.ensembl.org/"><img src="http://static.ensembl.org/i/e-ensembl.png" width="185" height="45" alt="Ensembl"></a>
+  </div>
+  
+  <div style="float: right; display: inline; height: 80px; background: white; padding: 10px;">
+    <a href="http://www.ensembl.org/vep"><img src="http://www.ensembl.org/img/vep_logo.png" width="111" height="50" alt="VEP"></a>
+  </div>
+  <div class="gradient">
+  </div>
+</div>
+<div class="main">
+<div class="sidemenu"><div class="sidemenu_head">Links</div><div class="sidemenu_body"><ul><li><a href="#masthead">Top of page</a></li><li><a href="#run_stats">VEP run statistics</a></li><li><a href="#gen_stats">General statistics</a></li><li><a href="#var_class">Variant classes</a></li><li><a href="#var_cons">Consequences (most severe)</a></li><li><a href="#consequences">Consequences (all)</a></li><li><a href="#coding">Coding consequences</a></li><li><a href="#chr">Variants by chromosome</a></li></ul></div></div><div class='main_content'><h3 id="run_stats">VEP run statistics</h3><table class="stats_table"><tr><td>VEP version (API)</td><td> 109 (109)</td></tr><tr><td>Annotation sources</td><td>Cache: results/ensembl_vep_cache/homo_sapiens/109_GRCh38</td></tr><tr><td>Species</td><td>homo_sapiens</td></tr><tr><td>Command line options</td><td><pre>--cache  --compress_output gzip --dir_cache results/ensembl_vep_cache --distance 1000 --fork 32 --format ensembl --input_file results/variants/merged.ensembl_vep.input.tsv.gz --most_severe --offline --output_file results/variants/merged.ensembl_vep.output.tsv.gz --tab</pre></td></tr><tr><td>Start time</td><td>2025-06-27 14:16:43</td></tr><tr><td>End time</td><td>2025-06-27 14:38:58</td></tr><tr><td>Run time</td><td>1335 seconds</td></tr><tr><td>Input file</td><td>results/variants/merged.ensembl_vep.input.tsv.gz</td></tr><tr><td>Output file</td><td>results/variants/merged.ensembl_vep.output.tsv.gz</td></tr></table><h3 id="gen_stats">General statistics</h3><table class="stats_table"><tr><td>Lines of input read</td><td>9988256</td></tr><tr><td>Variants processed</td><td>9988256</td></tr><tr><td>Variants filtered out</td><td>0</td></tr><tr><td>Novel / existing variants</td><td>-</td></tr><tr><td>Overlapped genes</td><td>0</td></tr><tr><td>Overlapped transcripts</td><td>0</td></tr><tr><td>Overlapped regulatory features</td><td>-</td></tr></table><hr/><h3 id="var_class">Variant classes</h3><div id="var_class_pie" style="width: 800px; height: 200px">&nbsp;</div><div id="var_class_table" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="var_cons">Consequences (most severe)</h3><div id="var_cons_pie" style="width: 800px; height: 400px">&nbsp;</div><div id="var_cons_table" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="consequences">Consequences (all)</h3><div id="consequences_pie" style="width: 800px; height: 400px">&nbsp;</div><div id="consequences_table" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="coding">Coding consequences</h3><div id="coding_pie" style="width: 800px; height: 400px">&nbsp;</div><div id="coding_table" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr">Variants by chromosome</h3><div id="chr_bar" style="width: 800px; height: 200px">&nbsp;</div><div id="chr_table" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_1">Distribution of variants on chromosome 1</h3><div id="chr_1_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_10">Distribution of variants on chromosome 10</h3><div id="chr_10_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_11">Distribution of variants on chromosome 11</h3><div id="chr_11_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_12">Distribution of variants on chromosome 12</h3><div id="chr_12_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_13">Distribution of variants on chromosome 13</h3><div id="chr_13_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_14">Distribution of variants on chromosome 14</h3><div id="chr_14_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_15">Distribution of variants on chromosome 15</h3><div id="chr_15_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_16">Distribution of variants on chromosome 16</h3><div id="chr_16_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_17">Distribution of variants on chromosome 17</h3><div id="chr_17_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_18">Distribution of variants on chromosome 18</h3><div id="chr_18_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_19">Distribution of variants on chromosome 19</h3><div id="chr_19_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_2">Distribution of variants on chromosome 2</h3><div id="chr_2_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_20">Distribution of variants on chromosome 20</h3><div id="chr_20_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_21">Distribution of variants on chromosome 21</h3><div id="chr_21_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_22">Distribution of variants on chromosome 22</h3><div id="chr_22_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_3">Distribution of variants on chromosome 3</h3><div id="chr_3_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_4">Distribution of variants on chromosome 4</h3><div id="chr_4_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_5">Distribution of variants on chromosome 5</h3><div id="chr_5_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_6">Distribution of variants on chromosome 6</h3><div id="chr_6_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_7">Distribution of variants on chromosome 7</h3><div id="chr_7_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_8">Distribution of variants on chromosome 8</h3><div id="chr_8_area" style="width: 800px; height: 200px">&nbsp;</div><hr/><h3 id="chr_9">Distribution of variants on chromosome 9</h3><div id="chr_9_area" style="width: 800px; height: 200px">&nbsp;</div></div>
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