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--amend
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petrelharp committed Jan 19, 2025
1 parent fce44e2 commit 6923278
Showing 1 changed file with 53 additions and 53 deletions.
106 changes: 53 additions & 53 deletions stdpopsim/catalog/HomSap/dfes.py
Original file line number Diff line number Diff line change
Expand Up @@ -149,59 +149,6 @@ def _HuberLogNormalDFE():
_species.add_dfe(_HuberLogNormalDFE())


def _KyriazisDFE():
id = "Mixed_K23"
description = "Deleterious Gamma DFE with additional lethals"
long_description = """
The DFE estimated from human data recommended in Kyriazis et al.
(2023), https://doi.org/10.1086/726736, for general use.
This model is similar to the Kim et al. (2017) DFE based on human
genetic data, modified to include the dominance distribution from
Henn et al. (2016).
The model is also augmented with an additional proportion of 0.3% of
recessive lethals, based on the analysis of Wade et al. (2023).
"""
citations = [
stdpopsim.Citation(
author="Kyriazis et al.",
year=2023,
doi="https://doi.org/10.1086/726736",
reasons={stdpopsim.CiteReason.DFE},
)
]
neutral = stdpopsim.MutationType()
gamma_mean = -0.0131
gamma_shape = 0.186
coefs = [0.45, 0.2, 0.05, 0]
breaks = [0.001, 0.01, 0.1]
gamma = stdpopsim.MutationType(
dominance_coeff_list=coefs,
dominance_coeff_breaks=breaks,
distribution_type="g", # gamma distribution
distribution_args=[gamma_mean, gamma_shape],
)
lethal = stdpopsim.MutationType(
distribution_type="f", # fixed value
distribution_args=[-1], # fitness in SLiM for homozygotes is multiiplied by 1+s
dominance_coeff=0,
)
proportion_deleterious = 2.31 / (1 + 2.31)
lethal_prop = proportion_deleterious * 0.003 # 0.3% lethals
gamma_prop = proportion_deleterious - lethal_prop
neutral_prop = 1 - proportion_deleterious
return stdpopsim.DFE(
id=id,
description=description,
long_description=long_description,
mutation_types=[neutral, gamma, lethal],
proportions=[neutral_prop, gamma_prop, lethal_prop],
citations=citations,
)


_species.add_dfe(_KyriazisDFE())


def _ZhenDFE():
id = "GammaPos_Z21"
description = "Deleterious Gamma DFE with fixed-s beneficials"
Expand Down Expand Up @@ -262,3 +209,56 @@ def _ZhenDFE():


_species.add_dfe(_ZhenDFE())


def _KyriazisDFE():
id = "Mixed_K23"
description = "Deleterious Gamma DFE with additional lethals"
long_description = """
The DFE estimated from human data recommended in Kyriazis et al.
(2023), https://doi.org/10.1086/726736, for general use.
This model is similar to the Kim et al. (2017) DFE based on human
genetic data, modified to include the dominance distribution from
Henn et al. (2016).
The model is also augmented with an additional proportion of 0.3% of
recessive lethals, based on the analysis of Wade et al. (2023).
"""
citations = [
stdpopsim.Citation(
author="Kyriazis et al.",
year=2023,
doi="https://doi.org/10.1086/726736",
reasons={stdpopsim.CiteReason.DFE},
)
]
neutral = stdpopsim.MutationType()
gamma_mean = -0.0131
gamma_shape = 0.186
coefs = [0.45, 0.2, 0.05, 0]
breaks = [0.001, 0.01, 0.1]
gamma = stdpopsim.MutationType(
dominance_coeff_list=coefs,
dominance_coeff_breaks=breaks,
distribution_type="g", # gamma distribution
distribution_args=[gamma_mean, gamma_shape],
)
lethal = stdpopsim.MutationType(
distribution_type="f", # fixed value
distribution_args=[-1], # fitness in SLiM for homozygotes is multiiplied by 1+s
dominance_coeff=0,
)
proportion_deleterious = 2.31 / (1 + 2.31)
lethal_prop = proportion_deleterious * 0.003 # 0.3% lethals
gamma_prop = proportion_deleterious - lethal_prop
neutral_prop = 1 - proportion_deleterious
return stdpopsim.DFE(
id=id,
description=description,
long_description=long_description,
mutation_types=[neutral, gamma, lethal],
proportions=[neutral_prop, gamma_prop, lethal_prop],
citations=citations,
)


_species.add_dfe(_KyriazisDFE())

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