Evidence map›Paper›PMID 33683357›Full record

ArticleGenetics2021

Evaluating human autosomal loci for sexually antagonistic viability selection in two large biobanks.

Katja R Kasimatis, Abin Abraham, Peter L Ralph, Andrew D Kern, John A Capra, Patrick C Phillips

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

22 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Drivers of systemic male-female allele frequency divergence in humans.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
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  5. The African-Specific Variant in the Duffy Antigen Receptor for Chemokines Gene, CD8+ T-Cell Density, and Aggressive Breast Cancer Subtypes in Black Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. The battle of the sexes in humans is highly polygenic.Proceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Katja R KasimatisInstitute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, USA.
Abin AbrahamVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Peter L RalphInstitute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, USA.
Andrew D KernInstitute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, USA.
John A CapraVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Patrick C PhillipsInstitute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, USA.
University of Oregon · USUniversity of California, San Francisco · USVanderbilt University Medical Center · US

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Graduate Training in Genetics Administrative Supplement - Career Curriculum DevelopmentT32GM007413 · NIGMS · UNIVERSITY OF OREGON · PI GUILLEMIN, KAREN J · 1985 to 2022
$7.8M
Medical Scientist Training ProgramT32GM152284 · NIGMS · VANDERBILT UNIVERSITY · PI Christopher S. Williams · 2024 to 2026
$4.8M
The Evolution of Gene Regulation and Human DiseaseR35GM127087 · NIGMS · VANDERBILT UNIVERSITY · PI John Anthony Capra · 2018 to 2026
$3.2M
Systems genomics of complex traitsR35GM131838 · NIGMS · UNIVERSITY OF OREGON · PI Patrick C. Phillips · 2019 to 2026
$2.7M
POPULATION GENOMICS OF ADAPTATIONR01GM117241 · NIGMS · UNIVERSITY OF OREGON · PI KERN, ANDREW D · 2017 to 2020
$1.2M
Systems genetics of natural variation in stress response pathwaysR01GM102511 · NIGMS · UNIVERSITY OF OREGON · PI PHILLIPS, PATRICK C. · 2015 to 2018
$1.1M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCATS NIH HHS UL1 TR000445NIGMS NIH HHS R01 GM102511NIGMS NIH HHS R01 GM117241NIGMS NIH HHS R35 GM127087NIGMS NIH HHS R35 GM131838NIGMS NIH HHS T32 GM007347NIGMS NIH HHS T32 GM007413NIGMS NIH HHS T32 GM152284
6 · The paper itself

Abstract

Sex and sexual differentiation are pervasive across the tree of life. Because females and males often have substantially different functional requirements, we expect selection to differ between the sexes. Recent studies in diverse species, including humans, suggest that sexually antagonistic viability selection creates allele frequency differences between the sexes at many different loci. However, theory and population-level simulations indicate that sex-specific differences in viability would need to be very large to produce and maintain reported levels of between-sex allelic differentiation. We address this contradiction between theoretical predictions and empirical observations by evaluating evidence for sexually antagonistic viability selection on autosomal loci in humans using the largest cohort to date (UK Biobank, n = 487,999) along with a second large, independent cohort (BioVU, n = 93,864). We performed association tests between genetically ascertained sex and autosomal loci. Although we found dozens of genome-wide significant associations, none replicated across cohorts. Moreover, closer inspection revealed that all associations are likely due to cross-hybridization with sex chromosome regions during genotyping. We report loci with potential for mis-hybridization found on commonly used genotyping platforms that should be carefully considered in future genetic studies of sex-specific differences. Despite being well powered to detect allele frequency differences of up to 0.8% between the sexes, we do not detect clear evidence for this signature of sexually antagonistic viability selection on autosomal variation. These findings suggest a lack of strong ongoing sexually antagonistic viability selection acting on single locus autosomal variation in humans.

Indexed as

Gene FrequencyGenetic FitnessSelection, GeneticBiological Specimen BanksChromosomes, HumanFemaleGenetic LociGenome-Wide Association StudyHumansMaleSex Factorsassociation studybiobankmale–female FSTprobe mappingsexually antagonistic selection

Identifiers

PMID33683357
PMCPMC8045711
OpenAlexW3127125943

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.