Evidence map›Paper›PMID 37106081›Full record

ArticleNature human behaviour2023

Participation bias in the UK Biobank distorts genetic associations and downstream analyses.

Tabea Schoeler, Doug Speed, Eleonora Porcu, Nicola Pirastu, Jean-Baptiste Pingault, Zoltán Kutalik

Abstract read
In one paragraph

Article in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 264 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
264citing papers in PubMed, 7 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

264 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  12. Heritability and social interaction in labor market outcomes: Evidence from the population of twins in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  13. Childhood Correlates of Genetic Propensity to Personality Traits.medRxiv : the preprint server for health sciences · 2026
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204 more citing papers are in PubMed but not listed here.

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.

Tabea SchoelerDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland. tabea.schoeler@unil.ch.ORCID http://orcid.org/0000-0003-4846-2741
Doug SpeedQuantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0002-0096-9765
Eleonora PorcuPrecision Medicine Unit, Biomedical Data Science Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Nicola PirastuGenomics Research Centre, Human Technopole, Milan, Italy.
Jean-Baptiste PingaultDepartment of Clinical, Educational and Health Psychology, University College London, London, UK.
Zoltán KutalikDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland. zoltan.kutalik@unil.ch.ORCID http://orcid.org/0000-0001-8285-7523

Funding

MRF_ MRF-160-0002-ELP-PINGAWellcome TrustWellcome Trust 218641/Z/19/Z
6 · The paper itself

Abstract

While volunteer-based studies such as the UK Biobank have become the cornerstone of genetic epidemiology, the participating individuals are rarely representative of their target population. To evaluate the impact of selective participation, here we derived UK Biobank participation probabilities on the basis of 14 variables harmonized across the UK Biobank and a representative sample. We then conducted weighted genome-wide association analyses on 19 traits. Comparing the output from weighted genome-wide association analyses (n

Indexed as

Biological Specimen BanksGenome-Wide Association StudyHumansPhenotypeUnited Kingdom

Identifiers

PMID37106081
PMCPMC10365993

What OpenQuestion holds

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LicenceCC BY
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.