Evidence map›Paper›PMID 40389611›Full record

ArticleNature genetics2025

The contribution of gametic phase disequilibrium to the heritability of complex traits.

Yuanxiang Zhang, Saori Sakaue, Sam Morris, Mariaelisa Graff, Biobank Japan Project, Kenichi Yamamoto, Zhengming Chen, Liming Li, Matthew C Keller, Michael E Goddard and 4 more

Abstract read
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In one paragraph

Article in Nature genetics, 2025. 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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

14 authors.

Yuanxiang ZhangInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia. yuanxiang.zhang@imb.uq.edu.au.ORCID http://orcid.org/0000-0002-0695-4409
Saori SakaueProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-3618-9717
Sam MorrisNuffield Department of Population Health, University of Oxford, Oxford, UK.
Mariaelisa GraffDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0001-6380-1735
Biobank Japan Project
Kenichi YamamotoLaboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka, Japan.ORCID http://orcid.org/0000-0001-9594-7050
Zhengming ChenNuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-6423-105X
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Matthew C KellerDepartment of Psychology and Neuroscience, University of Colorado, Boulder, CO, USA.ORCID http://orcid.org/0000-0002-6075-9882
Michael E GoddardCentre for AgriBioscience, Agriculture Victoria, Melbourne, Victoria, Australia.
Robin G WaltersNuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-9179-0321
Yukinori OkadaLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0002-0311-8472
Peter M VisscherInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-2143-8760
Loic YengoInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia. l.yengo@imb.uq.edu.au.ORCID http://orcid.org/0000-0002-4272-9305

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonrandom mating induces genome-wide correlations between unlinked genetic variants, known as gametic phase disequilibrium (GPD), whose contribution to heritability remains uncharacterized. Here we introduce the disequilibrium genome-based restricted maximum likelihood (DGREML) method to simultaneously quantify the additive contribution of SNPs to heritability and that of their directional covariances. We applied DGREML to 26 phenotypes of 550,000 individuals from diverse biobanks and found that cross-autosome GPD contributes 10-27% of the SNP-based heritability of height, educational attainment, intelligence, income, self-rated health status and sedentary behaviors. We observed a differential contribution of GPD to the heritability of height between the UK, Chinese and Japanese populations. Finally, bivariate DGREML analyses of educational attainment and height show that cross-autosome GPD contributes at least 32% of their genetic correlation. Altogether, our versatile and powerful method reveals understudied features of the genetic architecture of complex traits and informs potential mechanisms generating these features.

Indexed as

Linkage DisequilibriumMultifactorial InheritanceQuantitative Trait, HeritableAsian PeopleBody HeightFemaleGenome-Wide Association StudyHumansIntelligenceMaleModels, GeneticPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID40389611

What OpenQuestion holds

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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.