Evidence map›Paper›PMID 40463043›Full record

ArticlebioRxiv : the preprint server for biology2025

Mutation-selection-drift balance models of complex diseases.

Jeremy J Berg, Xinyi Li, Kellen Riall, Laura K Hayward, Guy Sella

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jeremy J BergDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Xinyi LiCommittee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, IL, USA.
Kellen RiallCommittee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, IL, USA.
Laura K HaywardInstitute of Science and Technology Austria, Klosterneuburg, Austria.
Guy SellaDepartment of Biological Sciences, Columbia University, New York, NY, USA.

Funding

The population genetics of disease risk and other quantitative traitsR01GM115889 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SELLA, GUY · 2015 to 2025
$2.9M
Population genetic modeling of genetic variation for complex traits and diseasesR35GM151257 · NIGMS · UNIVERSITY OF CHICAGO · PI Jeremy Jackson Berg · 2023 to 2026
$1.6M
Population genetic modeling of the genetic architecture of complex diseaseF32GM126787 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI BERG, JEREMY JACKSON · 2018 to 2018
$55k
NIGMS NIH HHS F32 GM126787NIGMS NIH HHS R01 GM115889NIGMS NIH HHS R35 GM151257
6 · The paper itself

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 only been modeled for monogenic (Mendelian) diseases. Here, we develop a MSDB model for complex disease susceptibility: we assume that genotype relates to disease risk according to the canonical liability threshold model and that selection on variants affecting risk derives from the fitness cost of the disease, and focus on diseases that are highly polygenic, entail a substantial fitness cost, and are neither extremely common in the population nor exceedingly rare. Contrasting model predictions with GWAS and other findings in humans suggests that directional selection plays little role in shaping common genetic variation affecting complex disease susceptibility but might substantially affect rare, large effect variation. In turn, common variation affecting complex disease susceptibility appears to be dominated by pleiotropic stabilizing selection on other traits. Our results further suggest that current estimates of disease heritability are likely biased. More generally, our model provides a better understanding of the evolutionary processes that shape the architecture and prevalence of complex diseases.

Identifiers

PMID40463043
PMCPMC12132567

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.