Evidence map›Paper›PMID 34931067›Full record

ArticleNature genetics2022

Large uncertainty in individual polygenic risk score estimation impacts PRS-based risk stratification.

Yi Ding, Kangcheng Hou, Kathryn S Burch, Sandra Lapinska, Florian Privé, Bjarni Vilhjálmsson, Sriram Sankararaman, Bogdan Pasaniuc

Open access · goldAbstract read
In one paragraph

Article in Nature genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 3 pooled it
19.2field-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

94 citing papers in PubMed, 3 syntheses or guidelines pooled it, 140 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Can polygenic risk scores contribute to cost-effective cancer screening? A systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Pooled it
  4. Article
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  7. The Multiethnic Cohort: A Resource for the Study of Genetic and Nongenetic Cancer Risk across Populations.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  8. Review
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  14. CalPred yields calibrated intervals for polygenic risk prediction.medRxiv : the preprint server for health sciences · 2026
    Article
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  18. Review
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34 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

8 authors at 2 institutions in 2 countries.

Yi Ding *Bioinformatics Interdepartmental Program, University of California, Los Angeles (UCLA), Los Angeles, CA, USA. yiding920@ucla.edu.ORCID http://orcid.org/0000-0003-3595-2493
Kangcheng Hou *Bioinformatics Interdepartmental Program, University of California, Los Angeles (UCLA), Los Angeles, CA, USA. houkc@ucla.edu.ORCID http://orcid.org/0000-0001-7110-5596
Kathryn S BurchBioinformatics Interdepartmental Program, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.
Sandra LapinskaBioinformatics Interdepartmental Program, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-5906-9446
Florian PrivéDepartment of Economics and Business Economics, National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0002-3138-2078
Bjarni VilhjálmssonDepartment of Economics and Business Economics, National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0003-2277-9249
Sriram SankararamanBioinformatics Interdepartmental Program, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-1586-9641
Bogdan PasaniucBioinformatics Interdepartmental Program, University of California, Los Angeles (UCLA), Los Angeles, CA, USA. pasaniuc@ucla.edu.ORCID http://orcid.org/0000-0002-0227-2056
University of California, Los Angeles · USAarhus University · DK

Funding

Methods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3M
Joint genomic and statistical analyses of schizophrenia and bipolar to decipher genetic susceptibilityR01MH115676 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Roel A Ophoff, Bogdan Pasaniuc · 2018 to 2026
$5.9M
PRS Center for Admixed Populations (CAPE)U01HG011715 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI Eimear Elizabeth Kenny, Leslie A Lange · 2021 to 2026
$5.2M
Integrative approaches for mapping the genetic risk of complex traitsR01HG009120 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PASANIUC, BOGDAN · 2017 to 2021
$2.3M
Statistical Models for Dissecting Human Population Admixture and its Role in Evolution and DiseaseR35GM125055 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SANKARARAMAN, SRIRAM · 2017 to 2021
$1.6M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHGRI NIH HHS R01 HG006399NHGRI NIH HHS R01 HG009120NHGRI NIH HHS U01 HG011715NIGMS NIH HHS R35 GM125055NIMH NIH HHS R01 MH115676
6 · The paper itself

Abstract

Although the cohort-level accuracy of polygenic risk scores (PRSs)-estimates of genetic value at the individual level-has been widely assessed, uncertainty in PRSs remains underexplored. In the present study, we show that Bayesian PRS methods can estimate the variance of an individual's PRS and can yield well-calibrated credible intervals via posterior sampling. For 13 real traits in the UK Biobank (n = 291,273 unrelated 'white British'), we observe large variances in individual PRS estimates which impact interpretation of PRS-based stratification; averaging across traits, only 0.8% (s.d. = 1.6%) of individuals with PRS point estimates in the top decile have corresponding 95% credible intervals fully contained in the top decile. We provide an analytical estimator for the expectation of individual PRS variance as a function of SNP heritability, number of causal SNPs and sample size. Our results showcase the importance of incorporating uncertainty in individual PRS estimates into subsequent analyses.

Indexed as

Genetic Predisposition to DiseaseMultifactorial InheritanceRisk AssessmentUncertaintyGenetic Association StudiesGenome-Wide Association StudyHumansModels, GeneticModels, Statistical

Identifiers

PMID34931067
PMCPMC8758557
OpenAlexW4200559672

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.