Evidence map›Paper›PMID 37443256›Full record

ArticleNature genetics2023

Studying the genetics of participation using footprints left on the ascertained genotypes.

Stefania Benonisdottir, Augustine Kong

Open access · hybridAbstract read
In one paragraph

Article in Nature genetics, 2023. 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
8.1field-weighted citation impact, top 2% of its field
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, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Drivers of systemic male-female allele frequency divergence in humans.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Genetic risk effects on psychiatric disorders act in sets.medRxiv : the preprint server for health sciences · 2025
    Article
  10. Participation bias in the estimation of heritability and genetic correlation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. The battle of the sexes in humans is highly polygenic.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Causal interpretations of family GWAS in the presence of heterogeneous effects.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Article
  18. Article
  19. Population Neuroscience: Principles and Advances.Current topics in behavioral neurosciences · 2024
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Stefania BenonisdottirBig Data Institute, Li Ka Shing Centre for Health Information Discovery, University of Oxford, Oxford, UK. stefania.benonisdottir@gmail.com.ORCID http://orcid.org/0000-0001-5019-514X
Augustine KongBig Data Institute, Li Ka Shing Centre for Health Information Discovery, University of Oxford, Oxford, UK. augustine.kong@bdi.ox.ac.uk.ORCID http://orcid.org/0000-0001-8193-5438
Leverhulme Trust · GBUniversity of Oxford · GB

Funding

Department of HealthWellcome TrustWellcome Trust 203141/Z/16/Z
6 · The paper itself

Abstract

The trait of participating in a genetic study probably has a genetic component. Identifying this component is difficult as we cannot compare genetic information of participants with nonparticipants directly, the latter being unavailable. Here, we show that alleles that are more common in participants than nonparticipants would be further enriched in genetic segments shared by two related participants. Genome-wide analysis was performed by comparing allele frequencies in shared and not-shared genetic segments of first-degree relative pairs of the UK Biobank. In nonoverlapping samples, a polygenic score constructed from that analysis is significantly associated with educational attainment, body mass index and being invited to a dietary study. The estimated correlation between the genetic components underlying participation in UK Biobank and educational attainment is estimated to be 36.6%-substantial but far from total. Taking participation behaviour into account would improve the analyses of the study data, including those of health traits.

Indexed as

FamilyGenome-Wide Association StudyEducational StatusGenotypeHumansPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID37443256
PMCPMC10412458
OpenAlexW4384198294

What OpenQuestion holds

Textmetadata
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.