Evidence map›Paper›PMID 42289869›Full record

ArticleGenetics2026

Allele frequencies at recessive disease genes are mainly determined by pleiotropic effects in heterozygotes.

Jonathan Judd, Jeffrey P Spence, Nikhil Milind, Linda Kachuri, John S Witte, Jonathan K Pritchard

Abstract read
In one paragraph

Article in Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Dynamics of mutators of arbitrary dominance in humans.bioRxiv : the preprint server for biology · 2026
    Article
  2. Gigabase-scale deletion scanning of the human genome.bioRxiv : the preprint server for biology · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jonathan JuddDepartment of Genetics, Stanford University, Stanford, CA 94305, United States.ORCID 0000-0001-8214-4849
Jeffrey P SpenceDepartment of Genetics, Stanford University, Stanford, CA 94305, United States.
Nikhil MilindDepartment of Genetics, Stanford University, Stanford, CA 94305, United States.ORCID 0000-0002-7975-247X
Linda KachuriDepartment of Epidemiology and Population Health, Stanford University, Stanford, CA 94305, United States.
John S WitteDepartment of Genetics, Stanford University, Stanford, CA 94305, United States.
Jonathan K PritchardDepartment of Genetics, Stanford University, Stanford, CA 94305, United States.

Funding

Integration of genetic association mapping and functional data to elucidate genetic mechanisms of diseaseR01HG008140 · NHGRI · STANFORD UNIVERSITY · PI JONATHAN K PRITCHARD · 2016 to 2026
$7.3M
Genetic ancestry effects on molecular and complex traits in TOPMedR01HL175076 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Ryan D. Hernandez, Dara Torgerson · 2025 to 2026
$1.6M
Bayesian estimation of gene effects on traits from coding variantsR01HG014005 · NHGRI · STANFORD UNIVERSITY · PI JONATHAN K PRITCHARD · 2025 to 2026
$1.3M
NHGRI NIH HHS R01 HG008140NHGRI NIH HHS R01 HG014005NHLBI NIH HHS R01 HL175076NIH HHS R01HG014005,R01HG008140NIH HHS R01HL175076
6 · The paper itself

Abstract

The classic theory of mutation-selection balance predicts the equilibrium frequency of genetic variation under negative selection. The model predicts a simple relationship between the total frequency of deleterious variants, mutation rate, and strength of selection, with different functions for recessive and (co)dominant genes. In this study, we investigate whether genes associated with human recessive disorders fit the predictions of this classic model. By comparing observed frequencies of loss-of-function (LoF) variants to those expected under mutation-selection balance we find that, for nearly all recessive genes, the observed frequencies are too low to be explained by purely recessive selection. Analyzing the effects of heterozygous LoFs on quantitative traits from the UK Biobank, we find that recessive disease genes have widespread quantitative effects in heterozygotes. Together, these results suggest that for a large proportion of recessive disease genes, the majority of selection acting on pathogenic mutations appears to operate through heterozygotes. We conclude that very few human genes follow the classic model of recessive mutation-selection balance.

Indexed as

Gene FrequencyGenes, RecessiveGenetic PleiotropyHeterozygoteHumansLoss of Function MutationModels, GeneticMutationSelection, Geneticpopulation geneticsquantitative geneticsrecessive diseases

Identifiers

PMID42289869
PMCPMC13535258

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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.