Evidence map›Paper›PMID 39695248›Full record

ArticleNature human behaviour2025

The impact of self-report inaccuracy in the UK Biobank and its interplay with selective participation.

Tabea Schoeler, Jean-Baptiste Pingault, Zoltán Kutalik

Abstract read
In one paragraph

Article in Nature human behaviour, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  7. Observational
  8. Estimating returns to education using the genetic lottery.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

3 authors.

Tabea SchoelerDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland. tabea.schoeler@unil.ch.ORCID 0000-0003-4846-2741
Jean-Baptiste PingaultDepartment of Clinical, Educational and Health Psychology, University College London, London, UK.ORCID 0000-0003-2557-4716
Zoltán KutalikDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland. zoltan.kutalik@unil.ch.ORCID 0000-0001-8285-7523

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 863981Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) #310030-189147Wellcome TrustWellcome Trust (Wellcome) 218641/Z/19/Z
6 · The paper itself

Abstract

Although the use of short self-report measures is common practice in biobank initiatives, such a phenotyping strategy is inherently prone to reporting errors. To explore challenges related to self-report errors, we first derived a reporting error score in the UK Biobank (UKBB; n = 73,127), capturing inconsistent self-reporting in time-invariant phenotypes across multiple measurement occasions. We then performed genome-wide scans on the reporting error score, applied downstream analyses (linkage disequilibrium score regression and Mendelian randomization) and compared its properties to the UKBB participation propensity. Finally, we improved phenotype resolution for 24 measures and inspected the changes in genomic findings. We found that reporting error was present across all 33 assessed self-report measures, with repeatability levels as low as 47% (childhood body size). Reporting error was not independent from UKBB participation, evidenced by the negative genetic correlation between the two outcomes (r

Indexed as

Biological Specimen BanksSelf ReportAdultFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedPhenotypeReproducibility of ResultsUK BiobankUnited Kingdom

Identifiers

PMID39695248
PMCPMC11936832

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.