Just a little tool for checking ID SNPs. It works in both germline and somatic modes as described in the sections below. By default, only sites with at least 30X
coverage are considered, and sites with major allele frequency greater than or equal to 95%
are considered homyzygote.
$ snpahoy --help
Usage: snpahoy [OPTIONS] COMMAND [ARGS]...
Options:
--minimum_coverage INTEGER Only consider SNP positions with a least this
coverage [default: 30]
--minimum_base_quality INTEGER Only count bases with at least this quality
[default: 1]
--homozygosity_threshold FLOAT Consider a SNP position homozygote if
frequency of most common allele is this or
higher [default: 0.95]
--help Show this message and exit.
Commands:
germline
somatic
To run in germline mode, simply provide a BAM file using the --bam_file
option.
$ snpahoy germline --help
Usage: snpahoy germline [OPTIONS]
Options:
--bed_file PATH BED file with SNP postions [required]
--bam_file PATH BAM file (must be indexed) [required]
--output_json_file PATH JSON output file [required]
--help Show this message and exit.
The output JSON file contains input information, genotypes at all SNP positions, and a summary. In case a SNP is not genotyped (as for the chrY
ones in the example below), the empty string is reported as genotype.
{
"input": {
"settings": {
"minimum-coverage": 30,
"minimum-base-quality": 1,
"homozygosity-threshold": 0.95
},
"files": {
"bed-file": "snps.bed",
"bam-file": "germline.bam"
}
},
"output": {
"details": {
"chr1:4789323": {
"genotype": "CC",
"depth": 88,
"counts": {
"A": 1,
"C": 87,
"G": 0,
"T": 0
}
},
"chr1:4895801": {
"genotype": "TT",
"depth": 65,
"counts": {
"A": 0,
"C": 0,
"G": 0,
"T": 65
}
},
(...)
"chrY:23164803": {
"genotype": "",
"depth": 0,
"counts": {
"A": 0,
"C": 0,
"G": 0,
"T": 0
}
}
},
"summary": {
"snps": {
"total": 1041,
"genotyped": 1016
},
"heterozygotes-fraction": 0.4744,
"mean-maf-homozygote-sites": 0.0022,
"mean-off-genotype-frequency": 0.0023
}
}
}
To run in somatic mode, provide tumor and germline BAM files using the --tumor_bam_file
and --germline_bam_file
options.
$ snpahoy somatic --help
Usage: snpahoy somatic [OPTIONS]
Options:
--bed_file PATH BED file with SNP postions [required]
--tumor_bam_file PATH Tumor BAM file (must be indexed) [required]
--germline_bam_file PATH Germline BAM file (must be indexed) [required]
--output_json_file PATH JSON output file [required]
--help Show this message and exit.
Output is similar to that in germline mode. Only sites which are genotyping in both tumor and germline are used, and the homozygote sites used in mean MAF calculations are the homozygote sites in the germline sample.
{
"input": {
"settings": {
"minimum-coverage": 30,
"minimum-base-quality": 1,
"homozygosity-threshold": 0.95
},
"files": {
"bed-file": "snps.bed",
"tumor-bam-file": "tumor.bam",
"germline-bam-file": "germline.bam"
},
"output": {
"details": {
"tumor": { ... },
"germline": { ... }
}
},
"summary": {
"snps": {
"total": 1041,
"genotyped": 1000
},
"tumor": {
"heterozygotes-fraction": 0.474,
"mean-maf-homozygote-sites": 0.0019,
"mean-off-genotype-frequency": 0.0019
},
"germline": {
"heterozygotes-fraction": 0.474,
"mean-maf-homozygote-sites": 0.0022,
"mean-off-genotype-frequency": 0.0019
}
}
}
}
This tool is developed with the MSK IMPACT panel in mind. Suggeseted cut-offs for identifying sample swap or contamination are 0.55
for heterozygotes fractions and 0.01
for mean MAFs.
The recommended way to install snpahoy
is by using conda:
$ conda install -c micknudsen snpahoy