How to filter VCF by the variant allele depth of a specific sample

Question

[john_campbell1]

Hello,

I'm fairly new to working with VCF files and linux, so apologies if this is a stupid question, but I am currently trying to filter a VCF by what variants a specific sample has a variant allele depth above 3 for. I've been able to use bcftools to filter variants by if any samples have a variant allele depth above three using the following command:

bcftools filter -o Outputad2.vcf -s 'lowAD' -i 'AD[0:1-] > 2' test.vcf.gz

But I don't know how to specify that to a specific sample.

Thank you

Answer 1

[john_campbell1]

Thanks for the help guys, but I ended up figuring it out by using a gatk jexl expression

Answer 2

[sbstevenlee]

If I understood your question correctly, you want to select only those variants where a specific sample has ALT AD of 3 or higher. If that's the case, here's a Python solution using the pyvcf submodule I wrote:

>>> from fuc import pyvcf
>>> data = {
...     'CHROM': ['chr1', 'chr1', 'chr1'],
...     'POS': [100, 101, 102],
...     'ID': ['.', '.', '.'],
...     'REF': ['G', 'T', 'A'],
...     'ALT': ['A', 'C', 'C'],
...     'QUAL': ['.', '.', '.'],
...     'FILTER': ['.', '.', '.'],
...     'INFO': ['.', '.', '.'],
...     'FORMAT': ['GT:AD', 'GT:AD', 'GT:AD'],
...     'A': ['0/1:15,8', '1/1:0,17', '0/0:15,0'],
...     'B': ['0/1:12,2', '0/1:23,3', '0/1:10,9']
... }
>>> vf = pyvcf.VcfFrame.from_dict([], data)
>>> # vf = pyvcf.VcfFrame.from_file('input.vcf')
>>> vf.df
  CHROM  POS ID REF ALT QUAL FILTER INFO FORMAT         A         B
0  chr1  100  .   G   A    .      .    .  GT:AD  0/1:15,8  0/1:12,2
1  chr1  101  .   T   C    .      .    .  GT:AD  1/1:0,17  0/1:23,3
2  chr1  102  .   A   C    .      .    .  GT:AD  0/0:15,0  0/1:10,9
>>> i = vf.extract('AD', func=lambda x: float(x.split(',')[1]))['B'] >= 3
>>> vf.df = vf.df[i]
>>> vf.df
  CHROM  POS ID REF ALT QUAL FILTER INFO FORMAT         A         B
0  chr1  101  .   T   C    .      .    .  GT:AD  1/1:0,17  0/1:23,3
1  chr1  102  .   A   C    .      .    .  GT:AD  0/0:15,0  0/1:10,9
>>> # vf.to_file('output.vcf')

Answer 3

[Pierre Lindenbaum]

Using vcffilterjdk: http://lindenb.github.io/jvarkit/VcfFilterJdk.html

 java -jar dist/vcffilterjdk.jar -F LOW_AD_SAMPLE_S2 -e 'final int[] ad= variant.getGenotype("S2").getAD(); return ad!=null && ad.length>1 && Arrays.stream(ad).skip(1L).allMatch(AD->AD>2);' in.vcf.gz