GENMOD

GENMOD is a simple to use command line tool for annotating and analyzing genomic variations in the VCF file format. GENMOD can annotate genetic patterns of inheritance in vcf:s with single or multiple families of arbitrary size.

The tools in the genmod suite are:

genmod annotate, for annotating regions, frequencies, cadd scores etc.
genmod models, For annotating patterns of inheritance
genmod sort, To sort the variants of a vcf file, either on rank score or position
genmod score, Score the variants of a vcf based on their annotation
genmod filter, Filter the variants of a vcf based on their annotation

Installation

GENMOD

pip install genmod

or

git clone https://github.com/Clinical-Genomics/genmod.git
cd genmod
python setup.py install

Usage

This is an overview, for more in depth documentation see documentation

Example

The following command should work when installed successfully. The files are distributed with the package.

$ cat examples/test_vcf.vcf
##fileformat=VCFv4.1
##INFO=<ID=MQ,Number=1,Type=Float,Description="RMS Mapping Quality">
##contig=<ID=1,length=249250621,assembly=b37>
##reference=file:///humgen/gsa-hpprojects/GATK/bundle/current/b37/human_g1k_v37.fasta
#CHROM	POS	ID	REF	ALT	QUAL	FILTER	INFO	FORMAT	father	mother	proband	father_2	mother_2	proband_2
1	879537	.	T	C	100	PASS	MQ=1	GT:AD:GQ	0/1:10,10:60	0/1:10,10:60	1/1:10,10:60	0/0:10,10:60	0/1:10,10:60	1/1:10,10:60
1	879541	.	G	A	100	PASS	MQ=1	GT:AD:GQ	./.	0/1:10,10:60	1/1:10,10:60	./.	0/1:10,10:60	0/1:10,10:60
1	879595	.	C	T	100	PASS	MQ=1	GT:AD:GQ	0/1:10,10:60	0/0:10,10:60	1/1:10,10:60	0/1:10,10:60	0/0:10,10:60	0/1:10,10:60
1	879676	.	G	A	100	PASS	MQ=1	GT:AD:GQ	0/1:10,10:60	1/1:10,10:60	1/1:10,10:60	0/1:10,10:60	0/1:10,10:60	0/1:10,10:60
1	879911	.	G	A	100	PASS	MQ=1	GT:AD:GQ	0/1:10,10:60	0/0:10,10:60	0/1:10,10:60	0/1:10,10:60	0/0:10,10:60	0/1:10,10:60
1	880012	.	A	G	100	PASS	MQ=1	GT:AD:GQ	0/0:10,10:60	0/1:10,10:60	0/1:10,10:60	0/0:10,10:60	0/1:10,10:60	0/1:10,10:60
1	880086	.	T	C	100	PASS	MQ=1	GT:AD:GQ	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60
1	880199	.	G	A	100	PASS	MQ=1	GT:AD:GQ	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60
1	880217	.	T	G	100	PASS	MQ=1	GT:AD:GQ	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60
10	76154051	.	A	G	100	PASS	MQ=1	GT:AD:GQ	0/0:10,10:60	0/1:10,10:60	0/1:10,10:60	0/0:10,10:60	0/1:10,10:60	0/1:10,10:60
10	76154073	.	T	G	100	PASS	MQ=1	GT:AD:GQ	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60
10	76154074	.	C	G	100	PASS	MQ=1	GT:AD:GQ	./.	0/1:10,10:60	0/1:10,10:60	0/1:10,10:60	0/1:10,10:60	0/1:10,10:60
10	76154076	.	G	C	100	PASS	MQ=1	GT:AD:GQ	./.	0/0:10,10:60	0/1:10,10:60	./.	0/0:10,10:60	0/1:10,10:60
X	302253	.	CCCTCCTGCCCCT	C	100	PASS	MQ=1	GT:AD:GQ	0/0:10,10:60	0/1:10,10:60	1/1:10,10:60	0/0:10,10:60	1/1:10,10:60	1/1:10,10:60
MT	302253	.	CCCTCCTGCCCCT	C	100	PASS	MQ=1	GT:AD:GQ	0/0:10,10:60	0/1:10,10:60	1/1:10,10:60	0/0:10,10:60	1/1:10,10:60	1/1:10,10:60

$ cat examples/test_vcf.vcf |\
>genmod annotate - --annotate-regions |\
>genmod models - --family_file examples/recessive_trio.ped > test_vcf_models_annotated.vcf

$ cat test_vcf_models_annotated.vcf
##fileformat=VCFv4.1
##INFO=<ID=MQ,Number=1,Type=Float,Description="RMS Mapping Quality">
##INFO=<ID=Annotation,Number=.,Type=String,Description="Annotates what feature(s) this variant belongs to.">
##INFO=<ID=Exonic,Number=0,Type=Flag,Description="Indicates if the variant is exonic.">
##INFO=<ID=GeneticModels,Number=.,Type=String,Description="':'-separated list of genetic models for this variant.">
##INFO=<ID=ModelScore,Number=.,Type=String,Description="PHRED score for genotype models.">
##INFO=<ID=Compounds,Number=.,Type=String,Description="List of compound pairs for this variant.The list is splitted on ',' family id is separated with compoundswith ':'. Compounds are separated with '|'.">
##contig=<ID=1,length=249250621,assembly=b37>
##reference=file:///humgen/gsa-hpprojects/GATK/bundle/current/b37/human_g1k_v37.fasta
##Software=<ID=genmod,Version=3.0.1,Date="2015-09-22 08:40",CommandLineOptions="processes=4 keyword=Annotation family_type=ped family_file=<open file 'examples/recessive_trio.ped', mode 'r' at 0x102d3a780> variant_file=<_io.TextIOWrapper name='<stdin>' encoding='utf-8'> logger=<logging.Logger object at 0x102d64250>">
#CHROM	POS	ID	REF	ALT	QUAL	FILTER	INFO	FORMAT	father	mother	proband	father_2	mother_2	proband_2
1	879537	.	T	C	100	PASS	MQ=1;Exonic;Annotation=SAMD11;GeneticModels=1:AR_hom;ModelScore=1:55.0	GT:AD:GQ	0/1:10,10:60	0/1:10,10:60	1/1:10,10:60	0/0:10,10:60	0/1:10,10:60	1/1:10,10:60
1	879541	.	G	A	100	PASS	MQ=1;Exonic;Annotation=SAMD11;GeneticModels=1:AR_hom_dn|AR_hom;ModelScore=1:57.0	GT:AD:GQ	./.	0/1:10,10:60	1/1:10,10:60	./.	0/1:10,10:60	0/1:10,10:60
1	879595	.	C	T	100	PASS	MQ=1;Exonic;Annotation=NOC2L,SAMD11;GeneticModels=1:AR_hom_dn;ModelScore=1:55.0	GT:AD:GQ	0/1:10,10:60	0/0:10,10:60	1/1:10,10:60	0/1:10,10:60	0/0:10,10:60	0/1:10,10:60
1	879676	.	G	A	100	PASS	MQ=1;Exonic;Annotation=NOC2L,SAMD11	GT:AD:GQ	0/1:10,10:60	1/1:10,10:60	1/1:10,10:60	0/1:10,10:60	0/1:10,10:60	0/1:10,10:60
1	879911	.	G	A	100	PASS	MQ=1;Exonic;Annotation=NOC2L,SAMD11;Compounds=1:1_880086_T_C|1_880012_A_G;GeneticModels=1:AR_comp|AR_comp_dn;ModelScore=1:55.0	GT:AD:GQ	0/1:10,10:60	0/0:10,10:60	0/1:10,10:60	0/1:10,10:60	0/0:10,10:60	0/1:10,10:60
1	880012	.	A	G	100	PASS	MQ=1;Exonic;Annotation=NOC2L;Compounds=1:1_879911_G_A|1_880086_T_C;GeneticModels=1:AR_comp|AR_comp_dn;ModelScore=1:55.0	GT:AD:GQ	0/0:10,10:60	0/1:10,10:60	0/1:10,10:60	0/0:10,10:60	0/1:10,10:60	0/1:10,10:60
1	880086	.	T	C	100	PASS	MQ=1;Exonic;Annotation=NOC2L;Compounds=1:1_879911_G_A|1_880012_A_G;GeneticModels=1:AD_dn|AR_comp_dn;ModelScore=1:55.0	GT:AD:GQ	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60
1	880199	.	G	A	100	PASS	MQ=1;Annotation=NOC2L;GeneticModels=1:AD_dn;ModelScore=1:55.0	GT:AD:GQ	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60
1	880217	.	T	G	100	PASS	MQ=1;Annotation=NOC2L;GeneticModels=1:AD_dn;ModelScore=1:55.0	GT:AD:GQ	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60
10	76154051	.	A	G	100	PASS	MQ=1;Exonic;Annotation=ADK;Compounds=1:10_76154073_T_G;GeneticModels=1:AR_comp_dn;ModelScore=1:55.0	GT:AD:GQ	0/0:10,10:60	0/1:10,10:60	0/1:10,10:60	0/0:10,10:60	0/1:10,10:60	0/1:10,10:60
10	76154073	.	T	G	100	PASS	MQ=1;Exonic;Annotation=ADK;Compounds=1:10_76154051_A_G;GeneticModels=1:AD_dn|AR_comp_dn;ModelScore=1:55.0	GT:AD:GQ	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60	0/0:10,10:60	0/0:10,10:60	0/1:10,10:60
10	76154074	.	C	G	100	PASS	MQ=1;Annotation=ADK	GT:AD:GQ	./.	0/1:10,10:60	0/1:10,10:60	0/1:10,10:60	0/1:10,10:60	0/1:10,10:60
10	76154076	.	G	C	100	PASS	MQ=1;Annotation=ADK;GeneticModels=1:AD_dn|AD;ModelScore=1:57.0	GT:AD:GQ	./.	0/0:10,10:60	0/1:10,10:60	./.	0/0:10,10:60	0/1:10,10:60
X	302253	.	CCCTCCTGCCCCT	C	100	PASS	MQ=1;Annotation=PPP2R3B;GeneticModels=1:XD|XR;ModelScore=1:55.0	GT:AD:GQ	0/0:10,10:60	0/1:10,10:60	1/1:10,10:60	0/0:10,10:60	1/1:10,10:60	1/1:10,10:60
MT	302253	.	CCCTCCTGCCCCT	C	100	PASS	MQ=1;GeneticModels=1:AR_hom_dn;ModelScore=1:55.0	GT:AD:GQ	0/0:10,10:60	0/1:10,10:60	1/1:10,10:60	0/0:10,10:60	1/1:10,10:60	1/1:10,10:60

The basic idea with genmod is to make fast and easy analysis of vcf variants for rare disease. It can still be interesting to use in other cases, such as annotating what genetic regions the variants in a bacteria belongs to. genmod can annotate accurate patterns of inheritance in arbitrary sized families. The genetic models checked are the basic mendelian ones, these are:

Autsomal Recessive, denoted 'AR_hom'
Autsomal Recessive denovo, denoted 'AR_hom_dn'
Autsomal Dominant, 'AD'
Autsomal Dominant denovo, 'AD_dn'
Autosomal Compound Heterozygote, 'AR_comp'
X-linked dominant, 'XD'
X-linked dominant de novo, 'XD_dn'
X-linked Recessive, 'XR'
X-linked Recessive de novo, 'XR_dn'

genmod is made for working on any type of annotated vcf. To get relevant Autosomal Compound Heterozygotes we need to know what genetic regions that the variants belong to. We can use annotations from the Variant Effect Predictor or let genmod do the annotation.

genmod comes annotation set that is made from ensemble. It is possible to use the 37 or 38 build, see genmod annotate --help Any annotation in the bed format can be used.

(There are files for testing the following commands in genmod/examples)

To annotate the variants with user defined regions use

$genmod annotate <vcf_file> -r/--annotate-regions --region-file path_to_regions.bed

Now the variants are ready to get their models annotated:

$genmod models <vcf_file> -f/--family_file <family.ped>

genmod annotate

    genmod annotate variant_file.vcf

This will print a new vcf to standard out with all variants annotated according to the statements below. All individuals described in the ped file must be present in the vcf file

See examples in the folder genmod/examples.

From version 1.9 genmod can split multiallelic calls in VCFs: use flag -split/--split_variants.

To get an example of how splitting variants work, run genmod on the file examples/multi_allele_example.vcf with the dominant trio. That is: genmod annotate examples/multi_allele_example.vcf -f examples/dominant_trio.ped -split

Compare the result when not using the -split flag.

Each variant in the VCF-file will be annotated with which genetic models that are followed in the family if a family file (ped file) is provided.

The genetic models that are checked are the following:

Autsomal Recessive, denoted 'AR_hom'
Autsomal Recessive denovo, denoted 'AR_hom_dn'
Autsomal Dominant, 'AD'
Autsomal Dominant denovo, 'AD_dn'
Autosomal Compound Heterozygote, 'AR_comp'
X-linked dominant, 'XD'
X-linked dominant de novo, 'XD_dn'
X-linked Recessive, 'XR'
X-linked Recessive de novo, 'XR_dn'

Se description of how genetic models are annotated in the section Conditions for genetic models below.

It is possible to run without a family file, in this case all variants will be annotated with which region(s) they belong to, and if other annotation files are provided(1000G, CADD scores etc.) the variants will get the proper values from these.

Variant Effect Predictor(vep) annotations are supported, use the --vep-flag if variants are already annotated with vep.

GENMOD will add entries to the INFO column for the given VCF file depending on what information is given.

If --vep is NOT provided:

Annotation Comma separated list with features overlapped in the annotation file

If --vep is used Annotation will not be annotated since all information is in the vep entry.

If a pedigree file is provided the following will be added:

GeneticModels A comma separated list with which genetic models that are followed in each family described in the ped file. Annotation are separated with pipes on the form GeneticModels=fam_id_1:AR_hom, fam_id_2:AR_comp|AD_dn etc..
Compounds Comma separated list with compound pairs(if any) for each family. These are described like 'CHR_POS_REF_ALT'
ModelScore Model Score, a phred-score based on the genotype qualities to describe the uncertainty of the genetic model in each family

Also a line for logging is added in the vcf header with the id genmod, here the date of run, version and command line arguments are printed.

Compound heterozygote inheritance pattern will be checked if two variants are exonic (or in canonical splice sites) and if they reside in the same gene.
GENMOD supports phased data, use the -phased flag. Data should follow the GATK way of phasing.

All annotations will be present only if they have a value.

GENMOD can annotate the variants with 1000 genome frequencies. Use the flag -kg/--thousand_g path/to/bgzipped/thousand_genomes.vcf.gz
GENMOD also supports annotation of frequencies from the ExAC. Use the flag --exac path/to/bgzipped/ExAC_file.vcf.gz
Annotate with CADD scores, use -cadd/--cadd_file path/to/huge_cadd_file.tsv.gz.
There several cadd files with different variant sets to cover as much as possible.
- One with all 1000 genomes positions (this one include some indels), if annotation with this one use -c1kg/--cadd_1000_g path/to/CADD_1000g.txt.gz.
- One with all variants from the ESP6500 dataset. If annotation with this one use --cadd_esp path/to/CADD_ESP.tsv.gz.
- One with all variants from the ExAC dataset. If annotation with this one use --cadd_exac path/to/CADD_ExAC.tsv.gz.
- One with 12.3M InDels from the CADD resources. If annotation with this one use --cadd_indels path/to/CADD_InDels.txt.gz.
By default the relative cadd scores is annotated with 'CADD=score', there is also an alternative to annotate with the raw cadd scores using the --cadd_raw flag. In this case a info field 'CADD_raw=score'.
If your VCF is already annotated with VEP, use -vep/--vep
If data is phased use -phased/--phased
If you want canonical splice site region to be bigger than 2 base pairs on each side of the exons, use -splice/--splice_padding <integer>
The -strict/--strict flag tells genmod to only annotate genetic models if they are proved by the data. If a variant is not called in a family member it will not be annotated.

genmod sort

Sort a VCF file based on Rank Score.

Usage: genmod sort [OPTIONS] <vcf_file> or -

  Sort a VCF file based on rank score.

Options:
  -o, --outfile PATH    Specify the path to a file where results should be
                        stored.
  -f, --family_id TEXT  Specify the family id for sorting. If no family id the
                        first family found in annotation will be used.
  -v, --verbose         Increase output verbosity.
  --help                Show this message and exit.

Conditions for Genetic Models

Short explanation of genotype calls in VCF format

Since we only look at humans, that are diploid, the genotypes represent what we see on both alleles in a single position. 0 represents the reference sequence, 1 is the first of the alternative alleles, 2 second alternative and so on. If no phasing has been done the genotype is an unordered pair on the form x/x, so 0/1 means that the individual is heterozygote in this given position with the reference base on one of the alleles and the first of the alternatives on the other. 2/2 means that we see the second of the alternatives on both alleles. Some chromosomes are only present in one copy in humans, here it is allowed to only use a single digit to show the genotype. A 0 would mean reference and 1 first of alternatives.

If phasing has been done the pairs are not unordered anymore and the delimiter is then changed to '|', so one can be heterozygote in two ways; 0|1 or 1|0.

Autosomal Recessive

For this model individuals can be carriers so healthy individuals can be heterozygous. Both alleles need to have the variant for an individual to be sick so a healthy individual can not be homozygous alternative and a sick individual has to be homozygous alternative.

Affected individuals have to be homozygous alternative (hom. alt.)
Healthy individuals cannot be hom. alt.
Variant is considered de novo if both parents are genotyped and do not carry the variant

Autosomal Dominant

Affected individuals have to be heterozygous (het.)
Healthy individuals cannot have the alternative variant
Variant is considered de novo if both parents are genotyped and do not carry the variant

Autosomal Compound Heterozygote

This model includes pairs of exonic variants that are present within the same gene.

Non-phased data:
- Affected individuals have to be het. for both variants
- Healthy individuals can be het. for one of the variants but cannot have both variants
- Variant is considered de novo if only one or no variant is found in the parents
Phased data:
- All affected individuals have to be het. for both variants and the variants has to be on two different alleles
- Healthy individuals can be heterozygous for one but cannot have both variants
- If only one or no variant is found in parents it is considered de novo

X-Linked Dominant

These traits are inherited on the x-chromosome, of which men have one allele and women have two.

Variant has to be on chromosome X
Affected individuals have to be het. or hom. alt.
Healthy males cannot carry the variant
Healthy females can carry the variant (because of X inactivation)
If sex is male the variant is considered de novo if mother is genotyped and does not carry the variant
If sex is female variant is considered de novo if none of the parents carry the variant

X Linked Recessive

Variant has to be on chromosome X
Affected males have to be het. or hom. alt. (het is theoretically not possible in males, but can occur due to Pseudo Autosomal Regions).
Affected females have to be hom. alt.
Healthy females cannot be hom. alt.
Healthy males cannot carry the variant
If sex is male the variant is considered de novo if mother is genotyped and does not carry the variant
If sex is female variant is considered de novo if not both parents carry the variant

Name		Name	Last commit message	Last commit date
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.github/workflows		.github/workflows
artwork		artwork
docs		docs
examples		examples
genmod		genmod
tests		tests
.gitignore		.gitignore
.travis.yml		.travis.yml
CHANGELOG.md		CHANGELOG.md
CITATION.cff		CITATION.cff
DEVELOPING.md		DEVELOPING.md
Dockerfile.pytest		Dockerfile.pytest
LICENSE.txt		LICENSE.txt
MANIFEST.in		MANIFEST.in
Makefile		Makefile
README.md		README.md
mkdocs.yml		mkdocs.yml
pytest.ini		pytest.ini
requirements.txt		requirements.txt
setup.cfg		setup.cfg
setup.py		setup.py

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GENMOD

Installation

Usage

Example

genmod annotate

genmod sort

Conditions for Genetic Models

Short explanation of genotype calls in VCF format

Autosomal Recessive

Autosomal Dominant

Autosomal Compound Heterozygote

X-Linked Dominant

X Linked Recessive

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Clinical-Genomics/genmod

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GENMOD

Installation

Usage

Example

genmod annotate

genmod sort

Conditions for Genetic Models

Short explanation of genotype calls in VCF format

Autosomal Recessive

Autosomal Dominant

Autosomal Compound Heterozygote

X-Linked Dominant

X Linked Recessive

About

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Releases 13

Packages 0

Contributors 11

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