Esempio n. 1
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 def test_bws_model_err(self):
     ''' Test ModelError raised because of pedigree file with only one twin. '''
     target = Female("FAM1", "F0", "001", "002", "003", target="1", age="20", mztwin="1",
                     yob=str(date.today().year-20), gtests=CanRiskGeneticTests.default_factory())
     pedigree = CanRiskPedigree(people=[target])
     with self.assertRaisesRegex(ModelError, r"ERRORS IN THE PEDIGREE FILE"):
         Predictions(pedigree)
Esempio n. 2
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 def test_calcs_validation_err(self):
     """ Test invalid calculation type raise ValidationError. """
     target = Female("FAM1", "F0", "001", "002", "003", target="1", age="20",
                     yob=str(date.today().year-20), gtests=CanRiskGeneticTests.default_factory())
     pedigree = CanRiskPedigree(people=[target])
     with self.assertRaisesRegex(ValidationError, r"Unknown calculation requested: dribble"):
         Predictions(pedigree, model_settings=settings.OC_MODEL, calcs=['dribble'])
Esempio n. 3
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    def setUp(self):
        ''' Build pedigree data. '''
        self.year = date.today().year

        target = Female("FAM1", "F0", "001", "002", "003", target="1", age="20",
                        yob=str(self.year-20), cancers=Cancers())
        self.pedigree = BwaPedigree(people=[target])
        # parents
        (_father, _mother) = self.pedigree.add_parents(target)
        self.cwd = tempfile.mkdtemp(prefix="TEST_", dir="/tmp")
 def test_mztwin_parents(self):
     """ Check if an error is raised if MZ twin have different parents. """
     pedigree_file = deepcopy(self.pedigree_file)
     pedigree = pedigree_file.pedigrees[0]
     m2 = pedigree.get_person_by_name('M2')
     self._add_twin(pedigree, twin=m2)
     m2.mothid = "313"
     pedigree.people.append(Female(m2.famid, "F3A", "313", "0", "0"))
     with self.assertRaisesRegex(PedigreeError,
                                 r"MZ twins must have the same parents"):
         PedigreeFile.validate(pedigree_file.pedigrees)
 def test_father_sex(self):
     ''' Test an error is raised if the sex of the father is not 'M'. '''
     # change sex of father to 'F'
     pedigree_file = deepcopy(self.pedigree_file)
     m2 = pedigree_file.pedigrees[0].get_person_by_name('M2')
     pedigree_file.pedigrees[0].people.remove(m2)
     pedigree_file.pedigrees[0].people.append(
         Female(m2.famid, m2.name, m2.pid, m2.fathid, m2.mothid))
     with self.assertRaisesRegex(
             PersonError,
             r"All fathers in the pedigree must have sex specified as 'M'"):
         PedigreeFile.validate(pedigree_file.pedigrees)
Esempio n. 6
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    def test_niceness(self):
        """ Test niceness level for pedigree with sibling and large pedigree. """
        pedigree = deepcopy(self.pedigree)
        self.assertEqual(Predictions._get_niceness(pedigree, factor=1), len(pedigree.people))
        self.assertEqual(Predictions._get_niceness(pedigree, factor=0.01), 19)

        # sister
        target = pedigree.get_target()
        sister = Female("FAM1", "F01", "0011", target.fathid, target.mothid, age="22",
                        yob=str(self.year-23), cancers=Cancers(bc1=Cancer("20")))
        pedigree.people.append(sister)
        self.assertEqual(Predictions._get_niceness(pedigree), 1)
Esempio n. 7
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    def setUp(self):
        ''' Build pedigree data. '''
        self.year = date.today().year

        target = Female("FAM1",
                        "F0",
                        "001",
                        "002",
                        "003",
                        target="1",
                        age="20",
                        yob=str(self.year - 20),
                        cancers=Cancers())
        self.pedigree = BwaPedigree(people=[target])
        # parents
        (_father, _mother) = self.pedigree.add_parents(target)

        # canrisk pedigree
        target = Female("FAM1",
                        "F0",
                        "001",
                        "002",
                        "003",
                        target="1",
                        age="20",
                        yob=str(self.year - 20),
                        cancers=Cancers(),
                        gtests=CanRiskGeneticTests.default_factory())
        self.canrisk_pedigree = CanRiskPedigree(people=[target])
        (_father, _mother) = self.canrisk_pedigree.add_parents(
            target, gtests=CanRiskGeneticTests.default_factory())
        _mother.yob = str(self.year - 55)
        _mother.age = "55"
        _mother.cancers = Cancers(bc1=Cancer("54"),
                                  bc2=Cancer("55"),
                                  oc=Cancer(),
                                  prc=Cancer(),
                                  pac=Cancer())
        self.cwd = tempfile.mkdtemp(prefix="TEST_", dir="/tmp")
Esempio n. 8
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    def _get_pedi(self):
        t = self.predictions.pedi.get_target()
        if t.cancers.is_cancer_diagnosed():
            cancers = Cancers(bc1=Cancer(t.cancers.diagnoses.bc1.age),
                              bc2=Cancer(),
                              oc=Cancer(),
                              prc=Cancer(),
                              pac=Cancer())
        else:
            cancers = Cancers()

        if self.predictions.model_settings['NAME'] == 'BC':
            gtests = BWSGeneticTests.default_factory()
        else:
            gtests = CanRiskGeneticTests.default_factory()

        if t.sex() is "M":
            new_t = Male(t.famid,
                         t.name,
                         t.pid,
                         "",
                         "",
                         target=t.target,
                         dead="0",
                         age=t.age,
                         yob=t.yob,
                         cancers=cancers,
                         gtests=gtests)
        else:
            new_t = Female(t.famid,
                           t.name,
                           t.pid,
                           "",
                           "",
                           target=t.target,
                           dead="0",
                           age=t.age,
                           yob=t.yob,
                           cancers=cancers,
                           gtests=gtests)

        if self.predictions.model_settings['NAME'] == 'BC':
            return BwaPedigree(people=[new_t])
        else:
            return CanRiskPedigree(people=[new_t])
 def _add_twin(self, pedigree, twin=None, twin_key="1"):
     """ Utility for creating a twin given a person in a pedigree.  """
     if twin is None:
         twin = pedigree.get_person_by_name('M2')
     twin.mztwin = twin_key
     twin.fathid = "311"
     twin.mothid = "312"
     pedigree.people.append(Male(twin.famid, "M3", "311", "0", "0"))
     pedigree.people.append(Female(twin.famid, "F3", "312", "0", "0"))
     pedigree.people.append(
         Male(twin.famid,
              "M2A",
              "111",
              "311",
              "312",
              mztwin=twin_key,
              age=twin.age,
              yob=twin.yob,
              gtests=deepcopy(twin.gtests),
              cancers=deepcopy(twin.cancers)))
Esempio n. 10
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    def _get_pedi(self):
        t = super()._get_pedi().get_target()
        cancers = Cancers()
        if self.predictions.model_settings['NAME'] == 'BC':
            gtests = BWSGeneticTests.default_factory()
        else:
            gtests = CanRiskGeneticTests.default_factory()

        if t.sex() is "M":
            new_t = Male(t.famid, t.name, t.pid, "", "", target=t.target,
                         dead="0", age=t.age, yob=t.yob, cancers=cancers,
                         gtests=gtests)
        else:
            new_t = Female(t.famid, t.name, t.pid, "", "", target=t.target,
                           dead="0", age=t.age, yob=t.yob, cancers=cancers,
                           gtests=gtests)

        if self.predictions.model_settings['NAME'] == 'BC':
            return BwaPedigree(people=[new_t])
        else:
            return CanRiskPedigree(people=[new_t])
    def test_mztwin_sex(self):
        """ Check if an error is raised if MZ twins are not the same sex. """
        pedigree_file = deepcopy(self.pedigree_file)
        pedigree = pedigree_file.pedigrees[0]
        m2 = pedigree.get_person_by_name('M2')
        self._add_twin(pedigree, twin=m2)

        pedigree_file.pedigrees[0].people.remove(m2)
        pedigree_file.pedigrees[0].people.append(
            Female(m2.famid,
                   m2.name,
                   m2.pid,
                   m2.fathid,
                   m2.mothid,
                   mztwin=m2.mztwin,
                   age=m2.age,
                   yob=m2.yob,
                   cancers=m2.cancers))
        with self.assertRaisesRegex(PedigreeError,
                                    r"MZ twins must have the same sex"):
            PedigreeFile.validate(pedigree_file.pedigrees)
Esempio n. 12
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    def test_ovarian_calculations(self):
        """ Test prediction of cancer risk and mutation probability. """
        target = Female("FAM1",
                        "F0",
                        "001",
                        "002",
                        "003",
                        target="1",
                        age="20",
                        yob=str(self.year - 20),
                        cancers=Cancers(),
                        gtests=CanRiskGeneticTests.default_factory())
        pedigree = CanRiskPedigree(people=[target])
        # parents
        (_father, _mother) = pedigree.add_parents(
            target, gtests=CanRiskGeneticTests.default_factory())
        PedigreeFile.validate(pedigree)
        params = ModelParams(
            mutation_frequency=settings.OC_MODEL['MUTATION_FREQUENCIES']["UK"],
            mutation_sensitivity=settings.OC_MODEL['GENETIC_TEST_SENSITIVITY'])
        calcs = Predictions(pedigree,
                            cwd=self.cwd,
                            model_params=params,
                            model_settings=settings.OC_MODEL,
                            calcs=[])

        # each gene should have a mutation probability plus a result for no mutations
        for mp in calcs.mutation_probabilties:
            key = list(mp.keys())[0]
            self.assertTrue(key in settings.OC_MODEL['GENES']
                            or key == "no mutation")
        self.assertEqual(len(calcs.mutation_probabilties),
                         len(settings.OC_MODEL['GENES']) + 1)

        # risks calculated at 16 different ages:
        self.assertEqual(len(calcs.cancer_risks), 16)
        self.assertTrue(
            [c.get('age') for c in calcs.cancer_risks] ==
            [21, 22, 23, 24, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80])