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Updated: Jan 15, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Mutation-selection-drift balance models of complex diseases
Jeremy J Berg1,2, Xinyi Li2, Kellen Riall2
1Department of Human Genetics, The University of Chicago, Chicago, IL 60637, United States.
Abstract:
Genetic variation that influences complex disease susceptibility is introduced into the population by mutation and removed by natural selection and genetic drift. This mutation-selection-drift balance (MSDB) shapes the prevalence of a disease and its genetic architecture. To date, however, MSDB has been modeled only for monogenic (Mendelian) diseases. Here, we develop an MSDB model for complex disease susceptibility: we assume that genotype relates to disease risk according to the canonical liability threshold model and that the selection on variants affecting risk stems from the fitness cost of the disease. We focus on diseases that are highly polygenic, entail a substantial fitness cost, and are neither extremely common in the population nor exceedingly rare. The comparison of model predictions with genome-wide association studies and other observations in humans indicates that common genetic variation affecting complex disease susceptibility is little affected by directional selection and instead shaped by pleiotropic stabilizing selection on other traits. In turn, directional selection may exert a more substantial effect on rare, large-effect variants. Our results also suggest that current estimates of disease heritability are likely biased. The model thus provides a better understanding of the evolutionary processes that shape the architecture and prevalence of complex diseases.
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