Upload bin/filter_civic_vcf.py
Browse files- bin/filter_civic_vcf.py +198 -0
bin/filter_civic_vcf.py
ADDED
|
@@ -0,0 +1,198 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""
|
| 3 |
+
过滤CIViC VCF文件,保留核心治疗相关字段和辅助参考字段
|
| 4 |
+
|
| 5 |
+
保留的字段(基于CSQ索引):
|
| 6 |
+
核心治疗相关字段:
|
| 7 |
+
- 26: CIViC Entity Significance (变异意义)
|
| 8 |
+
- 27: CIViC Entity Therapies (靶向药物)
|
| 9 |
+
- 28: CIViC Entity Direction (方向)
|
| 10 |
+
- 29: CIViC Entity Disease (关联疾病)
|
| 11 |
+
- 33: CIViC Evidence Level (证据等级)
|
| 12 |
+
|
| 13 |
+
辅助参考字段:
|
| 14 |
+
- 34: CIViC Evidence Rating (证据评分)
|
| 15 |
+
- 35: CIViC Assertion ACMG Codes (ACMG代码)
|
| 16 |
+
- 36: CIViC Assertion AMP Category (AMP分类)
|
| 17 |
+
- 37: CIViC Assertion NCCN Guideline (NCCN指南)
|
| 18 |
+
- 38: CIViC Assertion Regulatory Approval (监管批准)
|
| 19 |
+
- 39: CIViC Assertion FDA Companion Test (FDA伴随诊断)
|
| 20 |
+
"""
|
| 21 |
+
|
| 22 |
+
import re
|
| 23 |
+
import sys
|
| 24 |
+
|
| 25 |
+
# 新字段的描述名称(按索引顺序)- 用于键值对格式
|
| 26 |
+
NEW_FIELD_NAMES = [
|
| 27 |
+
"Significance", # 26
|
| 28 |
+
"Direction", # 27
|
| 29 |
+
"Disease", # 28
|
| 30 |
+
"Therapies", # 29
|
| 31 |
+
"Evidence_Level", # 32
|
| 32 |
+
"Evidence_Rating", # 33
|
| 33 |
+
"ACMG_Codes", # 34
|
| 34 |
+
"AMP_Category", # 35
|
| 35 |
+
"NCCN_Guideline", # 36
|
| 36 |
+
"Regulatory_Approval", # 37
|
| 37 |
+
"FDA_Companion_Test" # 38
|
| 38 |
+
]
|
| 39 |
+
|
| 40 |
+
# 要保留的CSQ字段索引
|
| 41 |
+
# 核心治疗相关字段(索引26-29)+ 辅助参考字段(索引32-38)
|
| 42 |
+
KEEP_FIELD_INDICES = [26, 27, 28, 29, 32, 33, 34, 35, 36, 37, 38]
|
| 43 |
+
|
| 44 |
+
def parse_csq_line(csq_description):
|
| 45 |
+
"""从VCF header中提取CSQ字段描述"""
|
| 46 |
+
# 提取Description中的字段列表
|
| 47 |
+
match = re.search(r'Format: (.+)"', csq_description)
|
| 48 |
+
if match:
|
| 49 |
+
fields = match.group(1).split('|')
|
| 50 |
+
return fields
|
| 51 |
+
return []
|
| 52 |
+
|
| 53 |
+
def filter_csq_record(csq_record, keep_indices, field_names):
|
| 54 |
+
"""过滤单个CSQ记录,并转换为Key=Value格式"""
|
| 55 |
+
fields = csq_record.split('|')
|
| 56 |
+
filtered = [fields[i] for i in keep_indices if i < len(fields)]
|
| 57 |
+
|
| 58 |
+
# 转换为Key=Value格式(用分号分隔)
|
| 59 |
+
kv_pairs = []
|
| 60 |
+
for i, value in enumerate(filtered):
|
| 61 |
+
if value: # 只添加非空值
|
| 62 |
+
kv_pairs.append(f"{field_names[i]}={value}")
|
| 63 |
+
|
| 64 |
+
return ';'.join(kv_pairs) if kv_pairs else ""
|
| 65 |
+
|
| 66 |
+
def filter_csq_record(csq_record, keep_indices, field_names):
|
| 67 |
+
"""将单个CSQ记录转换为Key=Value格式"""
|
| 68 |
+
fields = csq_record.split('|')
|
| 69 |
+
filtered = [fields[i] for i in keep_indices if i < len(fields)]
|
| 70 |
+
|
| 71 |
+
# 转换为Key=Value格式(用分号分隔)
|
| 72 |
+
kv_pairs = []
|
| 73 |
+
for i, value in enumerate(filtered):
|
| 74 |
+
if value: # 只添加非空值
|
| 75 |
+
kv_pairs.append(f"{field_names[i]}={value}")
|
| 76 |
+
|
| 77 |
+
return ';'.join(kv_pairs) if kv_pairs else ""
|
| 78 |
+
|
| 79 |
+
def merge_csq_records(records_string):
|
| 80 |
+
"""合并多条已转换为Key=Value格式的CSQ记录,每个Key保留所有值,用|分隔"""
|
| 81 |
+
# 分割多条记录
|
| 82 |
+
records = records_string.split(',')
|
| 83 |
+
|
| 84 |
+
# 收集每个字段的所有值(不去重,按顺序保留)
|
| 85 |
+
field_values = {}
|
| 86 |
+
|
| 87 |
+
for record in records:
|
| 88 |
+
if not record:
|
| 89 |
+
continue
|
| 90 |
+
# 解析Key=Value对
|
| 91 |
+
pairs = record.split(';')
|
| 92 |
+
for pair in pairs:
|
| 93 |
+
if '=' in pair:
|
| 94 |
+
key, value = pair.split('=', 1)
|
| 95 |
+
if key not in field_values:
|
| 96 |
+
field_values[key] = []
|
| 97 |
+
if value:
|
| 98 |
+
field_values[key].append(value)
|
| 99 |
+
|
| 100 |
+
# 按原始字段顺序构建合并后的记录
|
| 101 |
+
merged_pairs = []
|
| 102 |
+
for name in NEW_FIELD_NAMES:
|
| 103 |
+
if name in field_values and field_values[name]:
|
| 104 |
+
# 多个值用|连接
|
| 105 |
+
merged_pairs.append(f"{name}={'|'.join(field_values[name])}")
|
| 106 |
+
|
| 107 |
+
return ';'.join(merged_pairs) if merged_pairs else ""
|
| 108 |
+
|
| 109 |
+
def modify_header(info_line, keep_indices, new_field_names):
|
| 110 |
+
"""修改VCF header中的INFO行"""
|
| 111 |
+
# 找到包含CSQ的INFO行
|
| 112 |
+
if 'ID=CSQ' not in info_line:
|
| 113 |
+
return info_line
|
| 114 |
+
|
| 115 |
+
# 提取Description部分 - 更精确的匹配
|
| 116 |
+
match = re.search(r'(##INFO=<ID=CSQ,Number=\.,Type=String,Description=")(.+?)(">)', info_line)
|
| 117 |
+
if not match:
|
| 118 |
+
return info_line
|
| 119 |
+
|
| 120 |
+
prefix = match.group(1)
|
| 121 |
+
old_desc = match.group(2)
|
| 122 |
+
suffix = match.group(3)
|
| 123 |
+
|
| 124 |
+
# 直接使用新的字段名
|
| 125 |
+
new_desc = '|'.join(new_field_names)
|
| 126 |
+
|
| 127 |
+
# 替换
|
| 128 |
+
new_line = prefix + new_desc + suffix
|
| 129 |
+
|
| 130 |
+
return new_line
|
| 131 |
+
|
| 132 |
+
def main(input_file, output_file):
|
| 133 |
+
with open(input_file, 'r', encoding='utf-8') as f_in, \
|
| 134 |
+
open(output_file, 'w', encoding='utf-8') as f_out:
|
| 135 |
+
|
| 136 |
+
csq_fields = None
|
| 137 |
+
|
| 138 |
+
for line in f_in:
|
| 139 |
+
# 处理header行
|
| 140 |
+
if line.startswith('##'):
|
| 141 |
+
# 找到CSQ的INFO行并修改
|
| 142 |
+
if 'ID=CSQ' in line:
|
| 143 |
+
# 先解析字段列表
|
| 144 |
+
csq_match = re.search(r'Format: (.+)"', line)
|
| 145 |
+
if csq_match:
|
| 146 |
+
csq_fields = csq_match.group(1).split('|')
|
| 147 |
+
|
| 148 |
+
# 修改header
|
| 149 |
+
modified_line = modify_header(line.strip(), KEEP_FIELD_INDICES, NEW_FIELD_NAMES)
|
| 150 |
+
f_out.write(modified_line + '\n')
|
| 151 |
+
else:
|
| 152 |
+
f_out.write(line)
|
| 153 |
+
# 处理列头
|
| 154 |
+
elif line.startswith('#CHROM'):
|
| 155 |
+
f_out.write(line)
|
| 156 |
+
# 处理数据行
|
| 157 |
+
else:
|
| 158 |
+
fields = line.strip().split('\t')
|
| 159 |
+
if len(fields) >= 8:
|
| 160 |
+
info_field = fields[7]
|
| 161 |
+
|
| 162 |
+
# 查找并替换CSQ字段
|
| 163 |
+
csq_match = re.search(r'CSQ=([^;]+)', info_field)
|
| 164 |
+
if csq_match:
|
| 165 |
+
old_csq = csq_match.group(1)
|
| 166 |
+
|
| 167 |
+
# 处理多个CSQ记录(用逗号分隔)
|
| 168 |
+
csq_records = old_csq.split(',')
|
| 169 |
+
filtered_records = []
|
| 170 |
+
|
| 171 |
+
for csq_record in csq_records:
|
| 172 |
+
# 先转换为Key=Value格式
|
| 173 |
+
filtered = filter_csq_record(csq_record, KEEP_FIELD_INDICES, NEW_FIELD_NAMES)
|
| 174 |
+
if filtered:
|
| 175 |
+
filtered_records.append(filtered)
|
| 176 |
+
|
| 177 |
+
# 合并所有记录
|
| 178 |
+
merged_csq = merge_csq_records(','.join(filtered_records))
|
| 179 |
+
|
| 180 |
+
# 替换info字段中的CSQ
|
| 181 |
+
new_info = re.sub(r'CSQ=[^;]+', f'CSQ={merged_csq}', info_field)
|
| 182 |
+
fields[7] = new_info
|
| 183 |
+
|
| 184 |
+
f_out.write('\t'.join(fields) + '\n')
|
| 185 |
+
|
| 186 |
+
print(f"过滤完成!输出文件: {output_file}")
|
| 187 |
+
print(f"保留的字段: {', '.join(NEW_FIELD_NAMES)}")
|
| 188 |
+
|
| 189 |
+
if __name__ == '__main__':
|
| 190 |
+
input_vcf = '01-Mar-2026-civic_accepted.vcf'
|
| 191 |
+
output_vcf = 'hg19_civic.vcf'
|
| 192 |
+
|
| 193 |
+
if len(sys.argv) > 1:
|
| 194 |
+
input_vcf = sys.argv[1]
|
| 195 |
+
if len(sys.argv) > 2:
|
| 196 |
+
output_vcf = sys.argv[2]
|
| 197 |
+
|
| 198 |
+
main(input_vcf, output_vcf)
|