Evidence map›Paper›PMID 33888908›Full record

ArticleNature genetics2021

Genetic analyses identify widespread sex-differential participation bias.

Nicola Pirastu, Mattia Cordioli, Priyanka Nandakumar, Gianmarco Mignogna, Abdel Abdellaoui, Benjamin Hollis, Masahiro Kanai, Veera M Rajagopal, Pietro Della Briotta Parolo, Nikolas Baya and 22 more

Open access · hybridAbstract read
In one paragraph

Article in Nature genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed, 7 pooled it
44.2field-weighted citation impact, top 1% 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

154 citing papers in PubMed, 7 syntheses or guidelines pooled it, 260 citations in OpenAlex.

  1. Inflammatory cytokines are associated with stroke and risk factors of cerebrovascular diseases: a Mendelian randomization study.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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  10. Obesity-related RNA mJournal of neural transmission (Vienna, Austria : 1996) · 2026
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  20. Drivers of systemic male-female allele frequency divergence in humans.bioRxiv : the preprint server for biology · 2026
    Article

94 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

32 authors at 14 institutions in 8 countries.

Nicola Pirastu *Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-5363-3886
Mattia Cordioli *Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-4872-0520
Priyanka Nandakumar23andMe, Inc., Sunnyvale, CA, USA.
Gianmarco MignognaInstitute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-3989-7180
Abdel AbdellaouiDepartment of Psychiatry, Amsterdam Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-1088-6784
Benjamin HollisMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
Masahiro KanaiAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-5165-4408
Veera M RajagopalDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0002-5236-168X
Pietro Della Briotta ParoloInstitute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.
Nikolas BayaAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4681-374X
Caitlin E CareyAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Juha KarjalainenInstitute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.
Thomas D AlsDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0002-2963-1928
Matthijs D Van der ZeeFaculty of Behavioural and Movement Sciences, Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-4076-9167
Felix R DayMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-3789-7651
Ken K OngMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-4689-7530
FinnGen Study
23andMe Research Team
iPSYCH Consortium
Takayuki MorisakiDivision of Molecular Pathology, Institute of Medical Sciences, University of Tokyo, Tokyo, Japan.
Eco de GeusFaculty of Behavioural and Movement Sciences, Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.
Rino BelloccoDepartment of Statistics and Quantitative Methods, University of Milano Bicocca, Milan, Italy.
Yukinori OkadaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.ORCID http://orcid.org/0000-0002-0311-8472
Anders D BørglumDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0001-8627-7219
Peter JoshiCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-6361-5059
Adam Auton23andMe, Inc., Sunnyvale, CA, USA.
David Hinds23andMe, Inc., Sunnyvale, CA, USA.ORCID http://orcid.org/0000-0002-4911-803X
Benjamin M NealeAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0003-1513-6077
Raymond K WaltersAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-8422-6530
Michel G Nivard *Faculty of Behavioural and Movement Sciences, Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.
John R B Perry *MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK. john.perry@mrc-epid.cam.ac.uk.ORCID http://orcid.org/0000-0001-6483-3771
Andrea Ganna *Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland. aganna@broadinstitute.org.ORCID http://orcid.org/0000-0002-8147-240X
23andMe (United States) · USBroad Institute · USAarhus University · DKUniversity of Cambridge · GBKarolinska Institutet · SEStatens Serum Institut · DKUniversity of Helsinki · FIAarhus University Hospital · DKAmsterdam UMC Location University of Amsterdam · NLMental Health Services · DKTokyo Medical University · JPUniversity of Copenhagen · DKUniversity of Edinburgh · GBVrije Universiteit Amsterdam · NL

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_00006/2Medical Research Council MC_UU_12015/2
6 · The paper itself

Abstract

Genetic association results are often interpreted with the assumption that study participation does not affect downstream analyses. Understanding the genetic basis of participation bias is challenging since it requires the genotypes of unseen individuals. Here we demonstrate that it is possible to estimate comparative biases by performing a genome-wide association study contrasting one subgroup versus another. For example, we showed that sex exhibits artifactual autosomal heritability in the presence of sex-differential participation bias. By performing a genome-wide association study of sex in approximately 3.3 million males and females, we identified over 158 autosomal loci spuriously associated with sex and highlighted complex traits underpinning differences in study participation between the sexes. For example, the body mass index-increasing allele at FTO was observed at higher frequency in males compared to females (odds ratio = 1.02, P = 4.4 × 10

Indexed as

BiasSex CharacteristicsAdultArtifactsBiological Specimen BanksChromosomes, HumanFemaleGenetic LociGenome-Wide Association StudyHumansInheritance PatternsMalePolymorphism, Single NucleotideSample SizeUnited Kingdom

Identifiers

PMID33888908
PMCPMC7611642
OpenAlexW3152758353

What OpenQuestion holds

Textmetadata
LicenceTDM
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.