Evidence map›Paper›PMID 39965571›Full record

ArticleAmerican journal of human genetics2025

Distinct explanations underlie gene-environment interactions in the UK Biobank.

Arun Durvasula, Alkes L Price

Abstract read
In one paragraph

Article in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
–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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Genetic influences on haematopoiesis.Nature reviews. Genetics · 2026
    Review
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  15. Choice of phenotype scale is critical in biobank-based G×E tests.bioRxiv : the preprint server for biology · 2026
    Article
  16. Article
  17. Methods for modeling gene-environment interplay using polygenic risk scores.Statistical applications in genetics and molecular biology · 2026
    Review
  18. Polygenic prediction of human complex traits using ancient DNA.Current opinion in genetics & development · 2025
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Arun DurvasulaCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Genetics, Harvard Medical School, Cambridge, MA, USA; Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: arun.durvasula@med.usc.edu.
Alkes L PriceProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: aprice@hsph.harvard.edu.

Funding

Statistical methods for studies of rare variantsR01MH101244 · NIMH · HARVARD MEDICAL SCHOOL · PI Benjamin Michael Neale, ALKES L PRICE · 2013 to 2026
$9.4M
Statistical methods to localize disease heritability and identify biological mechanismsR37MH107649 · NIMH · BROAD INSTITUTE, INC. · PI Benjamin Michael Neale · 2019 to 2026
$7.0M
Methods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3M
NHGRI NIH HHS R01 HG006399NIMH NIH HHS R01 MH101244NIMH NIH HHS R37 MH107649
6 · The paper itself

Abstract

The role of gene-environment (GxE) interaction in disease and complex trait architectures is widely hypothesized but currently unknown. Here, we apply three statistical approaches to quantify and distinguish three different types of GxE interaction for a given trait and environmental (E) variable. First, we detect locus-specific GxE interaction by testing for genetic correlation (r

Indexed as

Biological Specimen BanksGene-Environment InteractionMultifactorial InheritanceFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMalePhenotypePolymorphism, Single NucleotideQuantitative Trait, HeritableQuantitative Trait LociUK BiobankUnited Kingdomcomplex traitsgene-environment interactionsstatistical genetics

Identifiers

PMID39965571
PMCPMC11947178

What OpenQuestion holds

Textmetadata
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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.