Polygenic backgrounds influence phenotypic consequences of variants in cells, individuals, and populations

Both rare and common genetic variants contribute to human disease, and emerging evidence suggests that they combine additively to influence disease liability. However, the non-linear relationship between disease liability and disease prevalence means that risk variants may have more severe phenotypic consequences in high-risk polygenic backgrounds and minimal impact in low-risk backgrounds, resulting in uneven selection across the population. As a result, selection coefficients may be better modeled as distributions that differ across populations, time, environments, and individuals than as single values. As the number of genes contributing to a trait and epistasis between alleles increases, so does phenotypic variance, pushing more individuals to extreme phenotypes and enhancing negative selection. Because disease-relevant phenotypes may be masked in certain genetic backgrounds, we argue that the polygenic background should be considered when designing experiments to characterize the molecular underpinnings of complex traits.

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Publication Details

Journal
Cell Genomics
Published
2026-01-26
DOI
https://doi.org/10.1016/j.xgen.2025.101131
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
30.93
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article

Polygenic backgrounds influence phenotypic consequences of variants in cells, individuals, and populations

Madison Chapel, Jessica Dennis, Carl G. de Boer
1 citations
Cell Genomics
Genetic Associations and Epidemiology
30.93
article

Polygenic backgrounds influence phenotypic consequences of variants in cells, individuals, and populations

Madison Chapel, Jessica Dennis, Carl G. de Boer
article en
1 citations

Abstract

Both rare and common genetic variants contribute to human disease, and emerging evidence suggests that they combine additively to influence disease liability. However, the non-linear relationship between disease liability and disease prevalence means that risk variants may have more severe phenotypic consequences in high-risk polygenic backgrounds and minimal impact in low-risk backgrounds, resulting in uneven selection across the population. As a result, selection coefficients may be better modeled as distributions that differ across populations, time, environments, and individuals than as single values. As the number of genes contributing to a trait and epistasis between alleles increases, so does phenotypic variance, pushing more individuals to extreme phenotypes and enhancing negative selection. Because disease-relevant phenotypes may be masked in certain genetic backgrounds, we argue that the polygenic background should be considered when designing experiments to characterize the molecular underpinnings of complex traits.

Cell GenomicsVol. 6(2)
University of British Columbia (CA), BC Children's Hospital (CA)
Openalex Percentile: Top 1%
Genetic Associations and Epidemiology
30.93
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Polygenic backgrounds influence phenotypic consequences of variants in cells, individuals, and populations — Madison Chapel, Jessica Dennis, et al. · Cell Genomics (2026) | TGRS Research Map | TGRS