Пример #1
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    def construct_variant(self, line, gender):
        """ constructs a Variant object for a VCF line, specific to the variant type
        
        Args:
            line: list of elements of a single sample VCF line:
                [chrom, position, snp_id, ref_allele, alt_allele, quality,
                filter_value, info, format_keys, format_values]
            gender: gender of the individual to whom the variant line belongs
                (eg "1" or "M" for male, "2", or "F" for female).
        
        Returns:
            returns a Variant object
        """

        # CNVs are found by their alt_allele values, as either <DUP>, or <DEL>
        if line[4] == "<DUP>" or line[4] == "<DEL>":
            var = CNV(line[0], line[1], line[2], line[3], line[4], line[6])
            var.add_info(line[7])
            # CNVs require the format values for filtering
            var.set_gender(gender)
            var.add_format(line[8], line[9])
            if self.known_genes is not None:
                var.fix_gene_IDs()
        else:
            var = SNV(line[0], line[1], line[2], line[3], line[4], line[6])
            var.add_info(line[7])

        return var
Пример #2
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 def construct_variant(self, line, gender):
     """ constructs a Variant object for a VCF line, specific to the variant type
     
     Args:
         line: list of elements of a single sample VCF line:
             [chrom, position, snp_id, ref_allele, alt_allele, quality,
             filter_value, info, format_keys, format_values]
         gender: gender of the individual to whom the variant line belongs
             (eg "1" or "M" for male, "2", or "F" for female).
     
     Returns:
         returns a Variant object
     """
     
     # CNVs are found by their alt_allele values, as either <DUP>, or <DEL>
     if line[4] == "<DUP>" or line[4] == "<DEL>":
         var = CNV(line[0], line[1], line[2], line[3], line[4], line[6])
         var.add_info(line[7])
         # CNVs require the format values for filtering
         var.set_gender(gender)
         var.add_format(line[8], line[9])
         if self.known_genes is not None:
             var.fix_gene_IDs()
     else:
         var = SNV(line[0], line[1], line[2], line[3], line[4], line[6])
         var.add_info(line[7])
     
     return var
Пример #3
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    def create_cnv(self, gender, inh, chrom, pos, cq=None):
        """ create a default variant
        """

        snp_id = "."
        ref = "A"
        alt = "<DEL>"
        filt = "PASS"

        if cq is None:
            cq = "transcript_ablation"

        # set up a SNV object, since SNV inherits VcfInfo
        var = CNV(chrom, pos, snp_id, ref, alt, filt)

        info = "CQ={};HGNC=TEST;HGNC_ALL=TEST;END=16000000;SVLEN=5000".format(
            cq)
        format_keys = "INHERITANCE:DP"
        sample_values = inh + ":50"

        var.add_info(info)
        var.add_format(format_keys, sample_values)
        var.set_gender(gender)
        var.set_genotype()

        return var
Пример #4
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    def create_cnv(self, chrom):

        pos = "15000000"
        snp_id = "."
        ref = "A"
        alt = "<DUP>"
        filt = "PASS"

        # set up a SNV object, since SNV inherits VcfInfo
        var = CNV(chrom, pos, snp_id, ref, alt, filt)

        info = "HGNC=TEST;HGNC_ALL=TEST,OR5A1;CQ=missense_variant;CNSOLIDATE;WSCORE=0.5;CALLP=0.000;COMMONFORWARDS=0.000;MEANLR2=0.5;MADL2R=0.02;END=16000000;SVLEN=1000000"
        format_keys = "inheritance:DP"
        sample_values = "deNovo:50"

        var.add_info(info)
        var.add_format(format_keys, sample_values)
        var.set_gender("F")
        var.set_genotype()

        return var
Пример #5
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    def create_cnv(self, gender, inh, chrom, pos):
        """ create a default variant
        """

        snp_id = "."
        ref = "A"
        alt = "<DUP>"
        filt = "PASS"

        # set up a SNV object, since SNV inherits VcfInfo
        var = CNV(chrom, pos, snp_id, ref, alt, filt)

        info = "HGNC=TEST;HGNC_ALL=TEST;END=16000000;SVLEN=5000"
        format_keys = "INHERITANCE:DP"
        sample_values = inh + ":50"

        var.add_info(info)
        var.add_format(format_keys, sample_values)
        var.set_gender(gender)
        var.set_genotype()

        return var
 def create_cnv(self, gender, inh, cifer, chrom, pos):
     """ create a default variant
     """
     
     snp_id = "."
     ref = "A"
     alt = "<DUP>"
     filt = "PASS"
     
     # set up a SNV object, since SNV inherits VcfInfo
     var = CNV(chrom, pos, snp_id, ref, alt, filt)
     
     info = "HGNC=TEST;HGNC_ALL=TEST;END=16000000;SVLEN=5000;CNS=3"
     format_keys = "CIFER:INHERITANCE:DP"
     sample_values = cifer + ":" + inh + ":50"
     
     var.add_info(info)
     var.add_format(format_keys, sample_values)
     var.set_gender(gender)
     var.set_genotype()
     
     return var
Пример #7
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    def get_parental_var(self, var, parental_vars, gender, matcher):
        """ get the corresponding parental variant to a childs variant, or
        create a default variant with reference genotype.
        
        Args:
            var: childs var, as Variant object
            parental_vars: list of parental variants
            gender: gender of the parent
            matcher: cnv matcher for parent
        
        Returns:
            returns a Variant object, matched to the proband's variant
        """

        key = var.get_key()

        # if the variant is a CNV, the corresponding variant might not match
        # the start site, so we look a variant that overlaps
        if isinstance(var, CNV) and matcher.has_match(var):
            key = matcher.get_overlap_key(key)

        for parental in parental_vars:
            if key == parental.get_key():
                return parental

        # if the childs variant does not exist in the parents VCF, then we
        # create a default variant for the parent
        if isinstance(var, CNV):
            parental = CNV(var.chrom, var.position, var.variant_id,
                           var.ref_allele, var.alt_allele, var.filter)
        else:
            parental = SNV(var.chrom, var.position, var.variant_id,
                           var.ref_allele, var.alt_allele, var.filter)

        parental.set_gender(gender)
        parental.set_default_genotype()

        return parental
Пример #8
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 def get_parental_var(self, var, parental_vars, gender, matcher):
     """ get the corresponding parental variant to a childs variant, or
     create a default variant with reference genotype.
     
     Args:
         var: childs var, as Variant object
         parental_vars: list of parental variants
         gender: gender of the parent
         matcher: cnv matcher for parent
     
     Returns:
         returns a Variant object, matched to the proband's variant
     """
     
     key = var.get_key()
     
     # if the variant is a CNV, the corresponding variant might not match
     # the start site, so we look a variant that overlaps
     if isinstance(var, CNV) and matcher.has_match(var):
         key = matcher.get_overlap_key(key)
         
     for parental in parental_vars:
         if key == parental.get_key():
             return parental
     
     # if the childs variant does not exist in the parents VCF, then we
     # create a default variant for the parent
     if isinstance(var, CNV):
         parental = CNV(var.chrom, var.position, var.variant_id, var.ref_allele, var.alt_allele, var.filter)
     else:
         parental = SNV(var.chrom, var.position, var.variant_id, var.ref_allele, var.alt_allele, var.filter)
     
     parental.set_gender(gender)
     parental.set_default_genotype()
     
     return parental
Пример #9
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class TestVariantCnvPy(unittest.TestCase):
    """
    """
    
    def setUp(self):
        """ define a default VcfInfo object
        """
        
        chrom = "1"
        pos = "15000000"
        snp_id = "."
        ref = "A"
        alt = "<DUP>"
        filt = "PASS"
        
        # set up a SNV object, since SNV inherits VcfInfo
        self.var = CNV(chrom, pos, snp_id, ref, alt, filt)
        
        info = "HGNC=TEST;HGNC_ALL=TEST,OR5A1;CQ=missense_variant;CNSOLIDATE;WSCORE=0.5;CALLP=0.000;COMMONFORWARDS=0.000;MEANLR2=0.5;MADL2R=0.02;END=16000000;SVLEN=1000000"
        format_keys = "inheritance:DP"
        sample_values = "deNovo:50"
        
        self.var.add_info(info)
        self.var.add_format(format_keys, sample_values)
        self.var.set_gender("F")
    
    def test_set_genotype(self):
        """ test that set_genotype() operates correctly
        """
        
        # check that DUPs are set correctly
        self.var.alt_allele = "<DUP>"
        self.var.set_genotype()
        self.assertEqual(self.var.genotype, "DUP")
        
        # check that DELs are set correctly
        self.var.alt_allele = "<DEL>"
        self.var.set_genotype()
        self.assertEqual(self.var.genotype, "DEL")
        
        # check that other genotypes raise an error
        self.var.alt_allele = "G"
        with self.assertRaises(ValueError):
            self.var.set_genotype()
        
        # and check that we raise an error for female Y chrom CNVs
        self.var.chrom = "Y"
        self.var.set_gender("F")
        with self.assertRaises(ValueError):
            self.var.set_genotype()
    
    def test_set_genotype_pseudoautosomal(self):
        """ test that set_genotype() works correctly in pseudoautosomal regions
        """
        
        pseudoautosomal_region_start = 60002
        pseudoautosomal_region_end = 2699520
        
        # set a CNV that lies within a pseudoautosomal region
        self.var.chrom = "X"
        self.var.position = pseudoautosomal_region_start + 1000
        self.var.info["END"] = pseudoautosomal_region_end - 1000
        self.var.set_gender("F")
        
        self.var.alt_allele = "<DUP>"
        self.var.set_genotype()
        self.assertEqual(self.var.genotype, "DUP")
        self.assertEqual(self.var.get_inheritance_type(), "autosomal")
        
    def test_get_range(self):
        """ test that get_range() operates correctly
        """
        
        # check that range is set correctly under normal function
        self.var.position = 1000
        self.var.info["END"] = "2000"
        self.assertEqual(self.var.get_range(), (1000, 2000))
        
        # check that range is set correctly when no info available
        self.var.info = {}
        self.assertEqual(self.var.get_range(), (1000, 11000))
    
    def test_fix_gene_IDs(self):
        """ test that fix_gene_IDs() works correctly
        """
        
        self.var.known_genes = {"TEST": {"start": 1000, "end": 2000, "chrom": "5"}}
        
        # make a CNV that will overlap with the known gene set
        self.var.genes = ["TEST"]
        self.var.position = 1000
        self.var.info["END"] = "1500"
        
        # check that fixing gene names does not alter anything for a CNV in a
        # single known gene
        self.var.fix_gene_IDs()
        self.assertEqual(self.var.genes, ["TEST"])
        
        # check that fixing gene names does not alter names not in the gene dict
        self.var.genes = ["TEST", "TEST2"]
        self.var.fix_gene_IDs()
        self.assertEqual(self.var.genes, ["TEST", "TEST2"])
        
        # check that fixing gene names drop name of genes where the name is in
        # the known genes dict, and the CNV and gene do not overlap
        self.var.position = 900
        self.var.info["END"] = "950"
        self.var.fix_gene_IDs()
        self.assertEqual(self.var.genes, [".", "TEST2"])
        
        # check that when we do not have any known genes, the gene names are
        # unaltered
        self.var.genes = ["TEST", "TEST2"]
        self.var.known_genes = None
        self.var.fix_gene_IDs()
        self.assertEqual(self.var.genes, ["TEST", "TEST2"])
    
    def test_set_gene_from_info_cnv(self):
        """ test that set_add_gene_from_info() works correctly
        """
        
        # make sure the known genes are None, otherwise sometimes the values
        # from test_variant_info.py unit tests can bleed through. I'm not sure
        # why!
        self.var.known_genes = None
        
        # check that HGNC takes precedence
        self.var.info["HGNC"] = "A"
        self.var.info["HGNC_ALL"] = "B"
        self.var.set_gene_from_info()
        self.assertEqual(self.var.genes, ["A"])
        
        # check that HGNC is used in the absence of HGNC_ALL
        del self.var.info["HGNC"]
        self.var.set_gene_from_info()
        self.assertEqual(self.var.genes, ["B"])
        
        # check that when HGNC and HGNC_ALL are undefined, we can still include
        # CNVs overlapping genes through NUMBERGENES > 0.
        del self.var.info["HGNC_ALL"]
        
        # first test for NUMBERGENES = 0
        self.var.info["NUMBERGENES"] = 0
        self.var.set_gene_from_info()
        self.assertIsNone(self.var.genes)
        
        # and then make sure we are correct for NUMBERGENES > 0
        self.var.info["NUMBERGENES"] = 1
        self.var.set_gene_from_info()
        self.assertEqual(self.var.genes, ["."])
        
        # finally check for no HGNC, HGNC_ALL, or NUMBERGENES
        del self.var.info["NUMBERGENES"]
        self.var.set_gene_from_info()
        self.assertEqual(self.var.genes, "1:15000000")
    
    def test_get_genes(self):
        """ test that get_genes() works correctly
        """
        
        self.var.genes = None
        self.assertEqual(self.var.get_genes(), [])
        
        self.var.genes = ["TEST"]
        self.assertEqual(self.var.get_genes(), ["TEST"])
        
        self.var.genes = ["TEST1", "TEST2"]
        self.assertEqual(self.var.get_genes(), ["TEST1", "TEST2"])
        
        self.var.genes = ["."]
        self.assertEqual(self.var.get_genes(), ["."])
    
    def test_fails_y_chrom_female(self):
        """ test that passes_filters() works correctly for female Y chrom CNVs
        """
        
        self.var.chrom = "Y"
        self.var.set_gender("F")
        
        self.assertFalse(self.var.passes_filters())