Update README.md

Tweaked some language & details

README.md

@@ -8,25 +8,25 @@ license_link: https://www.ebi.ac.uk/about/terms-of-use/
 
 ## Dataset Description
 
-This dataset contains sample-level metadata from the [NHGRI-EBI GWAS Catalog](https://ebi.ac.uk/gwas), describing the populations included in genome-wide association studies (GWAS).
+This dataset contains sample-level metadata from the [NHGRI-EBI GWAS Catalog](https://ebi.ac.uk/gwas), describing the individuals included in genome-wide association studies (GWAS).
 
-Each record represents a population sample used within a GWAS study, including information about sample size, ancestry category, and geographic origin. The dataset provides a structured representation of the participant populations contributing to published GWAS results.
+Each record represents a population sample used within a GWAS study, including information about sample size, ancestry category label, and geographic origin. The dataset provides a structured representation of the participant populations contributing to published GWAS results.
 
-Unlike the [GWAS Catalog Studies dataset](https://huggingface.co/datasets/gwascatalog/studies), which focuses on publication-level metadata, and the [Associations dataset](https://huggingface.co/datasets/gwascatalog/associations), which captures SNP–trait associations, the Samples dataset describes the populations and cohorts contributing to GWAS analyses.
+Unlike the [GWAS Catalog Studies dataset](https://huggingface.co/datasets/gwascatalog/studies), which focuses on study-level metadata, and the [Associations dataset](https://huggingface.co/datasets/gwascatalog/associations), which captures SNP–trait associations, the Samples dataset describes in detail the individuals that the GWAS analysis was based on.
 
-This dataset is particularly valuable for understanding genetic ancestry representation in GWAS research, enabling analyses of population diversity, recruitment geography, and ancestry distribution across studies.
+This dataset is particularly valuable for understanding genetic ancestry representation in GWAS research, enabling analyses of population diversity, recruitment geography, and ancestry label distribution across studies.
 
 Typical research uses include:
 
+* linking sample metadata with study-level and association-level GWAS data
+* understanding statistical power of the GWAS
 * examining ancestry representation in GWAS cohorts
 * analysing geographic recruitment patterns in genomic studies
 * studying population diversity across GWAS datasets
 * assessing ancestry imbalance or underrepresentation in genetic studies
-* linking population metadata with study-level and association-level GWAS data
 
-The GWAS Catalog applies a standardised framework for representing ancestry data in genomics studies. For more details, please see:
 
-Morales, J., Welter, D., Bowler, E.H. et al. A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog. Genome Biol 19, 21 (2018). https://doi.org/10.1186/s13059-018-1396-2
+The GWAS Catalog applies a standardised framework for representing ancestry labels in genomics studies. For more details, please read the documentation on the [GWAS Catalog website] (https://www.ebi.ac.uk/gwas/population-descriptors). 
 
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@@ -40,9 +40,10 @@ Morales, J., Welter, D., Bowler, E.H. et al. A standardized framework for repres
 
 Typical uses include:
 
+* linking sample metadata with GWAS study results
+* understanding statistical power of the GWAS
 * analysing ancestry composition of GWAS cohorts
 * evaluating population diversity in genomic research
-* linking ancestry metadata with GWAS study results
 * studying recruitment geography and sampling strategies in GWAS
 
 ---
@@ -92,7 +93,6 @@ Expert curators review publications and extract key information including:
 * statistical significance metrics
 * effect sizes
 * sample descriptions
-* genomic location information
 
 ### 3. Standardisation
 
@@ -101,6 +101,7 @@ Extracted data are normalised using standardised vocabularies and identifiers wh
 * controlled trait terms from the [Experimental Factor Ontology (EFO)](https://www.ebi.ac.uk/efo/)
 * genomic coordinates
 * gene identifiers
+* standardised ancestry label [framework] (https://link.springer.com/article/10.1186/s13059-018-1396-2)  
 
 ### 4. Annotation