def __get_example_panel(cls) -> Panel:
dpyd_two_a_variant = Variant("rs3918290", "T")
dpyd_two_b_variant = Variant("rs1801159", "C")
dpyd_three_variant = Variant("rs72549303", "TG")
fake_variant = Variant("rs1212125", "C")
fake2_variant = Variant("rs1212127", "C")
dpyd_haplotypes = frozenset({
Haplotype("*2A", "No Function", frozenset({dpyd_two_a_variant})),
Haplotype("*2B", "No Function", frozenset({dpyd_two_a_variant, dpyd_two_b_variant})),
Haplotype("*3", "Normal Function", frozenset({dpyd_three_variant})),
})
dpyd_rs_id_infos = frozenset({
RsIdInfo("rs3918290", "C", "C", GeneCoordinate("1", 97915614), GeneCoordinate("chr1", 97450058)),
RsIdInfo("rs72549309", "GATGA", "GATGA", GeneCoordinate("1", 98205966), GeneCoordinate("chr1", 97740410)),
RsIdInfo("rs1801159", "T", "T", GeneCoordinate("1", 97981395), GeneCoordinate("chr1", 97515839)),
RsIdInfo("rs72549303", "TG", "TC", GeneCoordinate("1", 97915621), GeneCoordinate("chr1", 97450065)),
})
dpyd_drugs = frozenset({
DrugInfo("5-Fluorouracil", "https://www.pharmgkb.org/chemical/PA128406956/guidelineAnnotation/PA166104939"),
DrugInfo("Capecitabine", "https://www.pharmgkb.org/chemical/PA448771/guidelineAnnotation/PA166104963"),
})
dpyd_rs_id_to_difference_annotations = {
"rs72549303": Annotation("6744CA>GA", "6744GA>CA"),
}
fake_haplotypes = frozenset({
Haplotype("*4A", "Reduced Function", frozenset({fake_variant})),
})
fake_rs_id_infos = frozenset({
RsIdInfo("rs1212125", "T", "T", GeneCoordinate("5", 97915617), GeneCoordinate("chr5", 97450060)),
})
fake_drugs = frozenset({
DrugInfo("Aspirin", "https://www.pharmgkb.org/some_other_url"),
})
fake_rs_id_to_difference_annotations: Dict[str, Annotation] = {}
fake2_haplotypes = frozenset({
Haplotype("*4A", "Reduced Function", frozenset({fake2_variant})),
})
fake2_rs_id_infos = frozenset({
RsIdInfo("rs1212127", "C", "T", GeneCoordinate("16", 97915617), GeneCoordinate("chr16", 97450060)),
})
fake2_drugs = frozenset({
DrugInfo("Aspirin", "https://www.pharmgkb.org/some_other_url"),
})
fake2_rs_id_to_difference_annotations = {"rs1212127": Annotation("1324C>T", "1324T>C")}
gene_infos = frozenset({
GeneInfo("DPYD", "*1", dpyd_haplotypes, dpyd_rs_id_infos,
dpyd_drugs, dpyd_rs_id_to_difference_annotations),
GeneInfo("FAKE", "*1", fake_haplotypes, fake_rs_id_infos,
fake_drugs, fake_rs_id_to_difference_annotations),
GeneInfo("FAKE2", "*1", fake2_haplotypes, fake2_rs_id_infos,
fake2_drugs, fake2_rs_id_to_difference_annotations),
})
name = "Panel"
version = "0.2"
return Panel(name, version, gene_infos)
def test_empty_haplotype(self) -> None:
"""Error when haplotype has no variants"""
name = "*5"
function = "No Function"
variants = frozenset(
[Variant("rs88293", "A"),
Variant("rs39492", "T")])
empty_variants: FrozenSet[Variant] = frozenset()
Haplotype(name, function, variants)
with self.assertRaises(ValueError):
Haplotype(name, function, empty_variants)
def test_haplotype_with_repeat_rs_ids(self) -> None:
"""Error when haplotype has multiple variants with the same rs id"""
name = "*5"
function = "No Function"
non_clashing_variants = frozenset(
[Variant("rs88293", "A"),
Variant("rs39492", "T")])
clashing_variants = frozenset(
[Variant("rs88293", "A"),
Variant("rs88293", "T")])
Haplotype(name, function, non_clashing_variants)
with self.assertRaises(ValueError):
Haplotype(name, function, clashing_variants)
def test_gene_info_with_variant_that_is_ref_v38(self) -> None:
"""Error when gene info has variant where variant allele is the ref allele"""
gene = "FAKE"
chromosome_v37 = "X"
chromosome_v38 = "chrX"
reference_haplotype_name = "*1"
drugs: FrozenSet[DrugInfo] = frozenset()
rs_id = "rs294924"
rs_id_to_ref_seq_difference_annotation = {
rs_id: Annotation("399483A>C", "399483C>A")
}
haplotypes = frozenset([
Haplotype("*3", "No Function",
frozenset([Variant("rs294924", "G")]))
])
rs_id_infos1 = frozenset([
RsIdInfo(rs_id, "A", "C", GeneCoordinate(chromosome_v37, 499593),
GeneCoordinate(chromosome_v38, 399483))
])
rs_id_infos2 = frozenset([
RsIdInfo(rs_id, "A", "G", GeneCoordinate(chromosome_v37, 499593),
GeneCoordinate(chromosome_v38, 399483))
])
GeneInfo(gene, reference_haplotype_name, haplotypes, rs_id_infos1,
drugs, rs_id_to_ref_seq_difference_annotation)
with self.assertRaises(ValueError):
GeneInfo(gene, reference_haplotype_name, haplotypes, rs_id_infos2,
drugs, rs_id_to_ref_seq_difference_annotation)
def from_json(cls, data: Json) -> "Haplotype":
name = str(data["haplotypeName"])
function = str(data["function"])
variants = frozenset({
Variant.from_json(variant_json)
for variant_json in data["haplotypeVariants"]
})
return Haplotype(name, function, variants)
def test_gene_info_with_overlapping_haplotype_variants(self) -> None:
"""Error when different haplotypes have the exact same variant combination"""
gene = "FAKE"
chromosome_v37 = "X"
chromosome_v38 = "chrX"
reference_haplotype_name = "*1"
drugs: FrozenSet[DrugInfo] = frozenset()
rs_id_to_ref_seq_difference_annotation: Dict[str, Annotation] = dict()
variant1 = Variant("rs94982", "A")
variant2 = Variant("rs394934", "T")
variant3 = Variant("rs495825", "C")
rs_id_infos = frozenset([
RsIdInfo(variant1.rs_id, "C", "C",
GeneCoordinate(chromosome_v37, 4994545),
GeneCoordinate(chromosome_v38, 2993823)),
RsIdInfo(variant2.rs_id, "G", "G",
GeneCoordinate(chromosome_v37, 3993842),
GeneCoordinate(chromosome_v38, 2949923)),
RsIdInfo(variant3.rs_id, "A", "A",
GeneCoordinate(chromosome_v37, 293923),
GeneCoordinate(chromosome_v38, 138812)),
])
haplotypes1 = frozenset([
Haplotype("*2", "No Function", frozenset([variant1, variant2])),
Haplotype("*4", "Partial Function", frozenset([variant1,
variant3])),
])
haplotypes2 = frozenset([
Haplotype("*2", "No Function", frozenset([variant1, variant2])),
Haplotype("*4", "Partial Function", frozenset([variant1,
variant2])),
])
GeneInfo(gene, reference_haplotype_name, haplotypes1, rs_id_infos,
drugs, rs_id_to_ref_seq_difference_annotation)
with self.assertRaises(ValueError):
GeneInfo(gene, reference_haplotype_name, haplotypes2, rs_id_infos,
drugs, rs_id_to_ref_seq_difference_annotation)
def test_gene_info_with_rs_id_in_haplotype_without_info(self) -> None:
"""Error when haplotype uses rs id for which there is no RsIdInfo object"""
gene = "FAKE"
reference_haplotype_name = "*1"
rs_id_infos: FrozenSet[RsIdInfo] = frozenset()
drugs: FrozenSet[DrugInfo] = frozenset()
rs_id_to_ref_seq_difference_annotation: Dict[str, Annotation] = dict()
empty_haplotypes: FrozenSet[Haplotype] = frozenset()
non_empty_haplotypes = frozenset([
Haplotype("*2", "No Function",
frozenset([Variant("rs238423", "A")]))
])
GeneInfo(gene, reference_haplotype_name, empty_haplotypes, rs_id_infos,
drugs, rs_id_to_ref_seq_difference_annotation)
with self.assertRaises(ValueError):
GeneInfo(gene, reference_haplotype_name, non_empty_haplotypes,
rs_id_infos, drugs,
rs_id_to_ref_seq_difference_annotation)
def __get_variant_to_count_for_gene(
cls, full_call_data: FullCallData,
gene: str) -> DefaultDict[Variant, int]:
full_calls_for_gene = {
call
for call in full_call_data.calls if call.gene == gene
}
variant_to_count: DefaultDict[Variant,
int] = collections.defaultdict(int)
for call in full_calls_for_gene:
cls.__assert_handleable_call(call)
for annotated_allele in call.get_annotated_alleles():
if not annotated_allele.is_annotated_vs(
cls.HAPLOTYPE_CALLING_REFERENCE_ASSEMBLY):
error_msg = f"Unknown variant: allele={annotated_allele}"
raise ValueError(error_msg)
if annotated_allele.is_variant_vs(
cls.HAPLOTYPE_CALLING_REFERENCE_ASSEMBLY):
variant_to_count[Variant(call.rs_ids[0],
annotated_allele.allele)] += 1
return variant_to_count
def test_load_panel(self) -> None:
"""Load panel from json"""
panel_path = get_test_resource("test_panel.json")
panel = load_panel(str(panel_path))
dpyd_two_a_variant = Variant("rs3918290", "T")
dpyd_two_b_variant = Variant("rs1801159", "C")
dpyd_three_variant = Variant("rs72549303", "TG")
fake_variant = Variant("rs1212125", "C")
fake2_variant = Variant("rs1212127", "C")
dpyd_haplotypes_expected = frozenset({
Haplotype("*2A", "No Function", frozenset({dpyd_two_a_variant})),
Haplotype("*2B", "No Function",
frozenset({dpyd_two_a_variant, dpyd_two_b_variant})),
Haplotype("*3", "Normal Function",
frozenset({dpyd_three_variant})),
})
dpyd_rs_id_infos_expected = frozenset({
RsIdInfo("rs3918290", "C", "C", GeneCoordinate("1", 97915614),
GeneCoordinate("chr1", 97450058)),
RsIdInfo("rs72549309", "GATGA", "GATGA",
GeneCoordinate("1", 98205966),
GeneCoordinate("chr1", 97740410)),
RsIdInfo("rs1801159", "T", "T", GeneCoordinate("1", 97981395),
GeneCoordinate("chr1", 97515839)),
RsIdInfo("rs72549303", "TG", "TC", GeneCoordinate("1", 97915621),
GeneCoordinate("chr1", 97450065)),
RsIdInfo("rs1801265", "G", "A", GeneCoordinate("1", 98348885),
GeneCoordinate("chr1", 97883329)),
})
dpyd_drugs_expected = frozenset({
DrugInfo("5-Fluorouracil",
"https://www.source_url.org/5-Fluorouracil"),
DrugInfo("Capecitabine",
"https://www.source_url.org/Capecitabine"),
})
dpyd_rs_id_to_difference_annotations = {
"rs72549303": Annotation("6744CA>GA", "6744GA>CA"),
"rs1801265": Annotation("85C>T", "85T>C"),
}
fake_haplotypes_expected = frozenset({
Haplotype("*4A", "Reduced Function", frozenset({fake_variant})),
})
fake_rs_id_infos_expected = frozenset({
RsIdInfo("rs1212125", "T", "T", GeneCoordinate("5", 97915617),
GeneCoordinate("chr5", 97450060)),
})
fake_drugs_expected = frozenset({
DrugInfo("Aspirin", "https://www.source_url.org/Aspirin"),
})
fake_rs_id_to_difference_annotations: Dict[str, Annotation] = {}
fake2_haplotypes_expected = frozenset({
Haplotype("*4A", "Reduced Function", frozenset({fake2_variant})),
})
fake2_rs_id_infos_expected = frozenset({
RsIdInfo("rs1212127", "C", "T", GeneCoordinate("16", 97915617),
GeneCoordinate("chr16", 97450060)),
})
fake2_drugs_expected = frozenset({
DrugInfo("Aspirin", "https://www.source_url.org/Aspirin"),
})
fake2_rs_id_to_difference_annotations = {
"rs1212127": Annotation("1324C>T", "1324T>C")
}
gene_infos_expected = frozenset({
GeneInfo("DPYD", "*1", dpyd_haplotypes_expected,
dpyd_rs_id_infos_expected, dpyd_drugs_expected,
dpyd_rs_id_to_difference_annotations),
GeneInfo("FAKE", "*1", fake_haplotypes_expected,
fake_rs_id_infos_expected, fake_drugs_expected,
fake_rs_id_to_difference_annotations),
GeneInfo("FAKE2", "*1", fake2_haplotypes_expected,
fake2_rs_id_infos_expected, fake2_drugs_expected,
fake2_rs_id_to_difference_annotations),
})
name_expected = "fake_panel"
version_expected = "0.3"
panel_expected = Panel(name_expected, version_expected,
gene_infos_expected)
self.assertEqual(panel_expected, panel)