Evidence map›Paper›PMID 39901012›Full record

ArticleNature genetics2025

Fine-scale population structure and widespread conservation of genetic effect sizes between human groups across traits.

Sile Hu, Lino A F Ferreira, Sinan Shi, Garrett Hellenthal, Jonathan Marchini, Daniel J Lawson, Simon R Myers

Abstract read
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Genetic architectures of brain-related traits are shaped by strong selective constraints.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  15. Systematic common and rare variant association testing in 392,030 whole genomes inmedRxiv : the preprint server for health sciences · 2026
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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

7 authors.

Sile HuDepartment of Statistics, University of Oxford, Oxford, UK. leunghom@gmail.com.ORCID http://orcid.org/0000-0002-8437-7387
Lino A F FerreiraDepartment of Statistics, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-1957-4245
Sinan ShiDepartment of Statistics, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-6935-0429
Garrett Hellenthal *Department of Genetics, Evolution and Environment, University College London, London, UK.
Jonathan Marchini *Regeneron Genetic Center, Tarrytown, NY, USA.ORCID http://orcid.org/0000-0003-0610-8322
Daniel J Lawson *Department of Statistical Science, School of Mathematics, University of Bristol, Bristol, UK. dan.lawson@bristol.ac.uk.ORCID http://orcid.org/0000-0002-5311-6213
Simon R Myers *Department of Statistics, University of Oxford, Oxford, UK. myers@stats.ox.ac.uk.ORCID http://orcid.org/0000-0002-2585-9626

Funding

Wellcome TrustWellcome Trust (Wellcome) 200186/Z/15/ZWellcome Trust (Wellcome) 212284/Z/18/ZWellcome Trust (Wellcome) 222334/Z/21/ZWellcome Trust (Wellcome) 224575/Z/21/Z
6 · The paper itself

Abstract

Understanding genetic differences between populations is essential for avoiding confounding in genome-wide association studies and improving polygenic score (PGS) portability. We developed a statistical pipeline to infer fine-scale Ancestry Components and applied it to UK Biobank data. Ancestry Components identify population structure not captured by widely used principal components, improving stratification correction for geographically correlated traits. To estimate the similarity of genetic effect sizes between groups, we developed ANCHOR, which estimates changes in the predictive power of an existing PGS in distinct local ancestry segments. ANCHOR infers highly similar (estimated correlation 0.98 ± 0.07) effect sizes between UK Biobank participants of African and European ancestry for 47 of 53 quantitative phenotypes, suggesting that gene-environment and gene-gene interactions do not play major roles in poor cross-ancestry PGS transferability for these traits in the United Kingdom, and providing optimism that shared causal mutations operate similarly in different populations.

Indexed as

Genetics, PopulationMultifactorial InheritanceBlack PeopleGene-Environment InteractionGenome-Wide Association StudyHumansPhenotypePolymorphism, Single NucleotideUnited KingdomWhite People

Identifiers

PMID39901012
PMCPMC11821542

What Socratic 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 Socratic graph.