Evidence map›Paper›PMID 33436567›Full record

ArticleNature communications2021

Genome-wide analyses of behavioural traits are subject to bias by misreports and longitudinal changes.

Angli Xue, Longda Jiang, Zhihong Zhu, Naomi R Wray, Peter M Visscher, Jian Zeng, Jian Yang

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Proteomic prediction of disease largely reflects environmental risk exposure.medRxiv : the preprint server for health sciences · 2025
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  17. The Genetic Architecture of Biological Age in Nine Human Organ Systems.medRxiv : the preprint server for health sciences · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Angli XueInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.
Longda JiangInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.
Zhihong ZhuInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.
Naomi R WrayInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.ORCID http://orcid.org/0000-0001-7421-3357
Peter M VisscherInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.ORCID http://orcid.org/0000-0002-2143-8760
Jian ZengInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.ORCID http://orcid.org/0000-0001-8801-5220
Jian YangInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia. jian.yang@westlake.edu.cn.

Funding

British Heart FoundationMedical Research Council MC_PC_17228Medical Research Council MC_QA137853Wellcome Trust
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have discovered numerous genetic variants associated with human behavioural traits. However, behavioural traits are subject to misreports and longitudinal changes (MLC) which can cause biases in GWAS and follow-up analyses. Here, we demonstrate that individuals with higher disease burden in the UK Biobank (n = 455,607) are more likely to misreport or reduce their alcohol consumption levels, and propose a correction procedure to mitigate the MLC-induced biases. The alcohol consumption GWAS signals removed by the MLC corrections are enriched in metabolic/cardiovascular traits. Almost all the previously reported negative estimates of genetic correlations between alcohol consumption and common diseases become positive/non-significant after the MLC corrections. We also observe MLC biases for smoking and physical activities in the UK Biobank. Our findings provide a plausible explanation of the controversy about the effects of alcohol consumption on health outcomes and a caution for future analyses of self-reported behavioural traits in biobank data.

Indexed as

BehaviorBiasGenome-Wide Association StudyQuantitative Trait, HeritableAlcohol DrinkingBiological Specimen BanksBody Mass IndexHumansMendelian Randomization AnalysisUnited Kingdom

Identifiers

PMID33436567
PMCPMC7804181

What OpenQuestion holds

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LicenceCC BY
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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.