Evidence map›Paper›PMID 42098108›Full record

ArticleNature communications2026

Extensive antagonistic variants across the human genome.

Beilei Bian, Valentin Hivert, Naomi R Wray, Allan F McRae

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Beilei BianInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-4849-1094
Valentin HivertInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-5144-6956
Naomi R WrayInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0001-7421-3357
Allan F McRaeInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia. a.mcrae@uq.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pleiotropic conflict, where a genetic locus has antagonistic effects on different traits, is a common phenomenon observed in animals and plants. While pleiotropy has been widely reported in humans, there is no systematic study of pleiotropic conflict in humans. Here, we leverage summary statistics from genome-wide association studies of complex diseases and traits derived from large-scale population cohorts to identify pleiotropic regions with conflicting effects. Through a multi-trait colocalization approach, we identified 219 independent regions containing variants showing pleiotropic conflict, which cover ~11.4% of linkage disequilibrium blocks in the human genome. Antagonistic variants are observed to be enriched for genetic variants with intermediate minor allele frequencies and antagonistic regions show signatures of positive/balancing selection. Our results suggest that antagonistic variants are pervasive in humans and indicate their role in maintaining phenotypic and genetic diversity in humans.

Indexed as

Genetic PleiotropyGenetic VariationGenome, HumanGene FrequencyGenome-Wide Association StudyHumansLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideQuantitative Trait LociSelection, Genetic

Identifiers

PMID42098108
PMCPMC13357546

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.