Evidence map›Paper›PMID 30895923›Full record

ArticleeLife2019

Reduced signal for polygenic adaptation of height in UK Biobank.

Jeremy J Berg, Arbel Harpak, Nasa Sinnott-Armstrong, Anja Moltke Joergensen, Hakhamanesh Mostafavi, Yair Field, Evan August Boyle, Xinjun Zhang, Fernando Racimo, Jonathan K Pritchard and 1 more

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 227 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
227citing papers in PubMed, 3 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

227 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
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  5. Review
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  14. Estimating uncertainty in family-based GWAS.bioRxiv : the preprint server for biology · 2026
    Article
  15. Observational epidemiological studies can mitigate genetic confounding with a genetic relatedness matrix.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  16. Quantifying direct genetic signal captured by principal component adjustment.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  17. Review
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167 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jeremy J Berg *Department of Biological Sciences, Columbia University, New York, United States.ORCID 0000-0001-5411-6840
Arbel Harpak *Department of Biological Sciences, Columbia University, New York, United States.ORCID 0000-0002-3655-748X
Nasa Sinnott-Armstrong *Department of Genetics, Stanford University, Stanford, United States.ORCID 0000-0003-4490-0601
Anja Moltke JoergensenLundbeck GeoGenetics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
Hakhamanesh MostafaviDepartment of Biological Sciences, Columbia University, New York, United States.ORCID 0000-0002-1060-2844
Yair FieldDepartment of Genetics, Stanford University, Stanford, United States.
Evan August BoyleDepartment of Genetics, Stanford University, Stanford, United States.ORCID 0000-0003-4494-9771
Xinjun ZhangDepartment of Anthropology, University of California, Davis, Davis, United States.ORCID 0000-0003-1298-3545
Fernando RacimoLundbeck GeoGenetics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-5025-2607
Jonathan K PritchardDepartment of Biology, Stanford University, Stanford, United States.ORCID 0000-0002-8828-5236
Graham CoopCenter for Population Biology, University of California, Davis, Davis, United States.ORCID 0000-0001-8431-0302

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Integration of genetic association mapping and functional data to elucidate genetic mechanisms of diseaseR01HG008140 · NHGRI · STANFORD UNIVERSITY · PI JONATHAN K PRITCHARD · 2016 to 2026
$7.3M
The population genetics of disease risk and other quantitative traitsR01GM115889 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SELLA, GUY · 2015 to 2025
$2.9M
Natural selection in recent human evolutionR01GM121372 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PRZEWORSKI, MOLLY F · 2017 to 2020
$1.6M
Genome-wide approaches to polygenic adaptationR01GM108779 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI COOP, GRAHAM · 2014 to 2019
$1.0M
Population genetic modeling of the genetic architecture of complex diseaseF32GM126787 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI BERG, JEREMY JACKSON · 2018 to 2018
$55k
NHGRI NIH HHS R01 HG008140NHGRI NIH HHS T32 HG000044NIGMS NIH HHS F32 GM126787NIGMS NIH HHS R01 GM108779NIGMS NIH HHS R01 GM115889NIGMS NIH HHS R01 GM121372NIH HHS F32 GM126787NIH HHS R01 GM108779NIH HHS R01 GM115889NIH HHS R01 GM121372NIH HHS R01 HG008140Stanford Center for Computational, Evolutionary and Human Genomics FellowshipStanford University Graduate FellowshipU.S. Department of Defense National Defense Science and Engineering GranU.S. Department of Defense National Defense Science and Engineering GrantVillum Fonden Young Investigator award
6 · The paper itself

Abstract

Several recent papers have reported strong signals of selection on European polygenic height scores. These analyses used height effect estimates from the GIANT consortium and replication studies. Here, we describe a new analysis based on the the UK Biobank (UKB), a large, independent dataset. We find that the signals of selection using UKB effect estimates are strongly attenuated or absent. We also provide evidence that previous analyses were confounded by population stratification. Therefore, the conclusion of strong polygenic adaptation now lacks support. Moreover, these discrepancies highlight (1) that methods for correcting for population stratification in GWAS may not always be sufficient for polygenic trait analyses, and (2) that claims of differences in polygenic scores between populations should be treated with caution until these issues are better understood. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter).

Indexed as

Adaptation, BiologicalBody HeightMultifactorial InheritanceSelection, GeneticBiostatisticsDatabases, FactualEuropeHumansevolutionary biologygeneticsgenomicsGWAShumannatural selectionpolygenic adaptationpopulation geneticspopulation structurequantitative genetics

Identifiers

PMID30895923
PMCPMC6428572

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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.