Evidence map›Paper›PMID 34995502›Full record

ArticleAmerican journal of human genetics2022

Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort.

Florian Privé, Hugues Aschard, Shai Carmi, Lasse Folkersen, Clive Hoggart, Paul F O'Reilly, Bjarni J Vilhjálmsson

Erratum issuedAbstract read
In one paragraph

Article in American journal of human genetics, 2022. 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 223 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
223citing papers in PubMed, 8 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

223 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Platelet count polygenic scores may modify the effect of aspirin in primary prevention of dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Trial
  10. Trial
  11. Article
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  13. Neuropsychiatry genetics in Africa.Nature communications · 2026
    Review
  14. Article
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  16. Article
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  18. Article
  19. Classification of Alcohol Use Disorder With Explainable AI.Alcohol, clinical & experimental research · 2026
    Article
  20. Article

163 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Florian PrivéNational Centre for Register-Based Research, Aarhus University, Aarhus 8210, Denmark. Electronic address: florian.prive.21@gmail.com.
Hugues AschardDepartment of Computational Biology, Institut Pasteur, Paris 75015, France; Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Shai CarmiBraun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.
Lasse FolkersenDanish National Genome Center, Copenhagen 2300, Denmark.
Clive HoggartDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Paul F O'ReillyDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Bjarni J VilhjálmssonNational Centre for Register-Based Research, Aarhus University, Aarhus 8210, Denmark; Bioinformatics Research Centre, Aarhus University, Aarhus 8000, Denmark.

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

The low portability of polygenic scores (PGSs) across global populations is a major concern that must be addressed before PGSs can be used for everyone in the clinic. Indeed, prediction accuracy has been shown to decay as a function of the genetic distance between the training and test cohorts. However, such cohorts differ not only in their genetic distance but also in their geographical distance and their data collection and assaying, conflating multiple factors. In this study, we examine the extent to which PGSs are transferable between ancestries by deriving polygenic scores for 245 curated traits from the UK Biobank data and applying them in nine ancestry groups from the same cohort. By restricting both training and testing to the UK Biobank data, we reduce the risk of environmental and genotyping confounding from using different cohorts. We define the nine ancestry groups at a sub-continental level, based on a simple, robust, and effective method that we introduce here. We then apply two different predictive methods to derive polygenic scores for all 245 phenotypes and show a systematic and dramatic reduction in portability of PGSs trained using Northwestern European individuals and applied to nine ancestry groups. These analyses demonstrate that prediction already drops off within European ancestries and reduces globally in proportion to genetic distance. Altogether, our study provides unique and robust insights into the PGS portability problem.

Indexed as

Genetic Predisposition to DiseaseMultifactorial InheritanceAlgorithmsAllelesBiological Specimen BanksGenetic Association StudiesGenetics, PopulationGenetic VariationGenome-Wide Association StudyGenotypeHumansModels, GeneticPhenotypeReproducibility of ResultsUnited Kingdomancestrypolygenic scoresportability

Identifiers

PMID34995502
PMCPMC8764121

What OpenQuestion holds

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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.