Evidence map›Paper›PMID 32737319›Full record

ArticleNature communications2020

Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations.

Ying Wang, Jing Guo, Guiyan Ni, Jian Yang, Peter M Visscher, Loic Yengo

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
180citing papers in PubMed, 9 pooled it
28.4field-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

180 citing papers in PubMed, 9 syntheses or guidelines pooled it, 275 citations in OpenAlex.

  1. Pooled it
  2. Polygenic Risk Scores for Myopia: A Systematic Review of Predictive Performance and Clinical Potential.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
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  10. Observational
  11. Article
  12. Article
  13. Discovering common and population-specific QTLs for leaf rust resistance in different Barley populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  14. Childhood Correlates of Genetic Propensity to Personality Traits.medRxiv : the preprint server for health sciences · 2026
    Article
  15. Article
  16. Article
  17. Cross-ancestry polygenic risk scores enhance Alzheimer's disease risk prediction in multiethnic cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  18. Article
  19. Genetic basis of Asian diabetes.Journal of diabetes investigation · 2026
    Review
  20. Article

120 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 at 1 institution in 2 countries.

Ying WangInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID http://orcid.org/0000-0001-7808-6279
Jing GuoInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.
Guiyan NiInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.
Jian YangInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID http://orcid.org/0000-0003-2001-2474
Peter M VisscherInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID http://orcid.org/0000-0002-2143-8760
Loic YengoInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia. l.yengodimbou@uq.edu.au.ORCID http://orcid.org/0000-0002-4272-9305
The University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polygenic scores (PGS) have been widely used to predict disease risk using variants identified from genome-wide association studies (GWAS). To date, most GWAS have been conducted in populations of European ancestry, which limits the use of GWAS-derived PGS in non-European ancestry populations. Here, we derive a theoretical model of the relative accuracy (RA) of PGS across ancestries. We show through extensive simulations that the RA of PGS based on genome-wide significant SNPs can be predicted accurately from modelling linkage disequilibrium (LD), minor allele frequencies (MAF), cross-population correlations of causal SNP effects and heritability. We find that LD and MAF differences between ancestries can explain between 70 and 80% of the loss of RA of European-based PGS in African ancestry for traits like body mass index and type 2 diabetes. Our results suggest that causal variants underlying common genetic variation identified in European ancestry GWAS are mostly shared across continents.

Indexed as

Models, GeneticMultifactorial InheritancePolymorphism, Single NucleotideAdultAfricaAgedAllelesAsiaAsthmaBody Mass IndexCholesterolComputer SimulationDiabetes Mellitus, Type 2EuropeFemaleGene FrequencyCholesterol

Identifiers

PMID32737319
PMCPMC7395791
OpenAlexW3046366876

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.