Find groups of SNP in a multi sample VCF with bcftools
2
1
Entering edit mode
16 months ago
Axzd ▴ 80

Hello, I have a multisample VCF, 10 samples + one reference sample. I am interesting in group of samples. For examples, if there is this SNP: Chrom_3:1258955 0/1 for sample 1, sample2, sample3, sample4 but that the genotype of all other samples is 0/0, I would like to find it.

So far I have tried

bcftools view -i 'GT[0-3]="alt" & GT[4-10]="ref"' merged_snps_only.bcf.gz

However, this returns nothing. but I do know that there are lines in the vcf that actually satisfies this condition. I extracted the genotypes only and used awk to check that indeed there are SNP that are 0/1 for the first 4 samples and 0/0 for all the others.

But I am puzzled why bcftools doesn't return me the same as awk.

Any idea?

Thanks all :)

EDIT: this is what I did and showed me my condition is indeed satisfied

bcftools query -e'GT ="."' -f'%CHROM %POS [ %GT]\n' merged_snps_only.bcf.gz > merged_genotypes.only  

perl -pie 's/\|/\//g' merged_genotypes.only    #for convenience

awk '$3=="0/1" && $4=="0/1" && $5=="0/1" && $6=="0/1" && $7=="0/0" && $8=="0/0" && $9=="0/0" && $10=="0/0" && $11=="0/0" && $12=="0/0" && $13=="0/0"' merged_genotypes.only > group1_4ALT_others_ref

Output of awk

Chrom_3 1163847  0/1 0/1 0/1 0/1 0/0 0/0 0/0 0/0 0/0 0/0 0/0
Chrom_3 1163852  0/1 0/1 0/1 0/1 0/0 0/0 0/0 0/0 0/0 0/0 0/0
Chrom_3 1163862  0/1 0/1 0/1 0/1 0/0 0/0 0/0 0/0 0/0 0/0 0/0
Chrom_3 1163864  0/1 0/1 0/1 0/1 0/0 0/0 0/0 0/0 0/0 0/0 0/0
Chrom_3 1163867  0/1 0/1 0/1 0/1 0/0 0/0 0/0 0/0 0/0 0/0 0/0
Chrom_3 1163870  0/1 0/1 0/1 0/1 0/0 0/0 0/0 0/0 0/0 0/0 0/0
Chrom_3 1163880  0/1 0/1 0/1 0/1 0/0 0/0 0/0 0/0 0/0 0/0 0/0
Chrom_3 1343041  0/1 0/1 0/1 0/1 0/0 0/0 0/0 0/0 0/0 0/0 0/0
Chrom_3 1378584  0/1 0/1 0/1 0/1 0/0 0/0 0/0 0/0 0/0 0/0 0/0
Chrom_3 1565128  0/1 0/1 0/1 0/1 0/0 0/0 0/0 0/0 0/0 0/0 0/0

Then doing

awk '{print $1"\t"$2}' group1_4ALT_others_ref > group1_4ALT_others_ref.coordinates

bcftools view -R group1_4ALT_others_ref.coordinates merged_snps_only.bcf.gz > group1_4ALT_others_ref.vcf

Gives me the vcf I need. I still suspect there must be a less convoluted way of doing this.

vcf SNP bcftools • 1.1k views
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2
Entering edit mode
16 months ago

using vcffilterjdk https://jvarkit.readthedocs.io/en/latest/VcfFilterJdk/

java -jar jvarkit.jar vcffilterjdk  -e 'final Set<String> samples= new HashSet<>(Arrays.asList("S1","S2","S3")); return samples.stream().map(S->variant.getGenotype(S)).allMatch(G->G.isHet()) && variant.getGenotypes().stream().filter(G->!samples.contains(G.getSampleName())).allMatch(G->G.isHomRef());'  in.vcf
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0
Entering edit mode

Hello Pierre, this works like a charm.

I am still wondering what's wrong with my bcftools command.

Could you give guidance as how to learn to use your program and form queries with it? It seems insanely powerful but I am a bit at loss with the syntax. Thanks

Edit, how do I exclude the sites which have more than 2 alleles? (phased or not).

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2
Entering edit mode
16 months ago
pd3 ▴ 60

The symbol & in your expression requests that the condition must be satisfied within one sample. Use && instead. Note there is also the plugin bcftools +contrast which might is also suitable for tasks like this

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0
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Hello, thanks for your answer and sorry for the very long delay, I had missed the notifications. I find the doc of +contrast quite confusing. What's the difference between

bcftools -s S1 -x all_merged.vcf > S1.private.vcf

And

bcftools +contrast -0 S0,S2,S3,S4 -1 S1 > S1.private.vcf

The contrast output is much, much bigger than the first command, actually, it contains almost all SNPs, which are common to all samples, so I don't understand what is contrasted. I feel I don't understand what the +contrast is doing. Thanks

EDIT: I think my problem was that I forgot the -a field. If I do the command

bcftools +contrast -a NOVELGT -0 S0,S2,S3,S4 -1 S1 > S1.private.vcf

This looks like a much better command ...

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