Buffering of gene dosage response curves for human complex traits

The genome-wide burdens of deletions, loss-of-function mutations, and duplications correlate with many traits. Curiously, for most of these traits, variants that decrease expression have the same genome-wide average direction of effect as variants that increase expression. This seemingly contradicts the intuition that for individual genes, reducing expression should have the opposite effect on a phenotype as increasing expression. To understand this paradox, we use the gene dosage response curve (GDRC), which relates changes in gene expression to expected changes in phenotype. We show that, for many traits, GDRCs are systematically biased in one trait direction relative to the other, a phenomenon we call trait buffering. Because of trait buffering, traits are more easily modified in one direction than the other by genetic variation. We develop a simple theoretical model that explains this bias in trait direction. Our results have broad implications for complex traits, drug discovery, and statistical genetics.

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Publication Details

Journal
Cell Genomics
Published
2026-05-01
DOI
https://doi.org/10.1016/j.xgen.2026.101221
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Buffering of gene dosage response curves for human complex traits

Huisheng Zhu, C S Smith, Nikhil Milind, Jeffrey P. Spence et al.
Cell Genomics
Genetic Associations and Epidemiology
article

Buffering of gene dosage response curves for human complex traits

Huisheng Zhu, C S Smith, Nikhil Milind, Jeffrey P. Spence, Tamara Gjorgjieva, Jonathan K. Pritchard
article en

Abstract

The genome-wide burdens of deletions, loss-of-function mutations, and duplications correlate with many traits. Curiously, for most of these traits, variants that decrease expression have the same genome-wide average direction of effect as variants that increase expression. This seemingly contradicts the intuition that for individual genes, reducing expression should have the opposite effect on a phenotype as increasing expression. To understand this paradox, we use the gene dosage response curve (GDRC), which relates changes in gene expression to expected changes in phenotype. We show that, for many traits, GDRCs are systematically biased in one trait direction relative to the other, a phenomenon we call trait buffering. Because of trait buffering, traits are more easily modified in one direction than the other by genetic variation. We develop a simple theoretical model that explains this bias in trait direction. Our results have broad implications for complex traits, drug discovery, and statistical genetics.

Cell Genomics
University of California, San Francisco (US), Stanford University (US)
National Human Genome Research Institute
Zero hunger
Openalex Percentile: Top 8%
Genetic Associations and Epidemiology
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Buffering of gene dosage response curves for human complex traits — Huisheng Zhu, C S Smith, et al. · Cell Genomics (2026) | TGRS Research Map | TGRS