Evidence map›Paper›PMID 33200985›Full record

ArticleeLife2020

Demographic history mediates the effect of stratification on polygenic scores.

Arslan A Zaidi, Iain Mathieson

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
13.3field-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, 134 citations in OpenAlex.

  1. Review
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  8. Quantifying direct genetic signal captured by principal component adjustment.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  18. Review
  19. Polygenic prediction of human complex traits using ancient DNA.Current opinion in genetics & development · 2025
    Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Arslan A ZaidiDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.ORCID 0000-0002-2155-8367
Iain MathiesonDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
University of Pennsylvania · US

Funding

Polygenic prediction and evolution of complex traitsR35GM133708 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Iain Neil Mathieson · 2019 to 2026
$2.9M
Leveraging human evolutionary history to improve our understanding of complex disease architectureK99GM137076 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI ZAIDI, SYED ARSLAN ABBAS · 2021 to 2022
$127k
NIGMS NIH HHS K99 GM137076NIGMS NIH HHS R35 GM133708
6 · The paper itself

Abstract

Population stratification continues to bias the results of genome-wide association studies (GWAS). When these results are used to construct polygenic scores, even subtle biases can cumulatively lead to large errors. To study the effect of residual stratification, we simulated GWAS under realistic models of demographic history. We show that when population structure is recent, it cannot be corrected using principal components of common variants because they are uninformative about recent history. Consequently, polygenic scores are biased in that they recapitulate environmental structure. Principal components calculated from rare variants or identity-by-descent segments can correct this stratification for some types of environmental effects. While family-based studies are immune to stratification, the hybrid approach of ascertaining variants in GWAS but reestimating effect sizes in siblings reduces but does not eliminate stratification. We show that the effect of population stratification depends not only on allele frequencies and environmental structure but also on demographic history.

Indexed as

BiasGenome-Wide Association StudyMultifactorial InheritanceDemographyHumansdemographic historyepidemiologygeneticsgenomicsglobal healthGWASnonepolygenic scorespopulation stratification

Identifiers

PMID33200985
PMCPMC7758063
OpenAlexW3098933058

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.