Evidence map›Paper›PMID 39127804›Full record

ArticleEuropean journal of human genetics : EJHG2024

Ancestral genetic components are consistently associated with the complex trait landscape in European biobanks.

Vasili Pankratov, Massimo Mezzavilla, Serena Aneli, Ivan A Kuznetsov, Daniela Fusco, James F Wilson, Mait Metspalu, Paolo Provero, Luca Pagani, Davide Marnetto

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Polygenic prediction of human complex traits using ancient DNA.Current opinion in genetics & development · 2025
    Review
  6. Looking back at 2024 in the European Journal of Human Genetics.European journal of human genetics : EJHG · 2025
    Article
  7. Article
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

10 authors.

Vasili PankratovCenter for Genomics, Evolution and Medicine, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia. vasili.pankratov@ut.ee.ORCID 0000-0001-7928-4402
Massimo MezzavillaDepartment of Biology, University of Padua, Padua, Italy.
Serena AneliDepartment of Public Health Sciences and Pediatrics, University of Turin, 10126, Turin, Italy.
Ivan A KuznetsovCenter for Genomics, Evolution and Medicine, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia.ORCID 0000-0002-4873-0729
Daniela FuscoDepartment of Neurosciences, University of Turin, 10126, Turin, Italy.ORCID 0009-0009-9062-571X
James F WilsonCentre for Global Health Research, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland.
Mait MetspaluInstitute of Genomics, University of Tartu, 51010, Tartu, Estonia.ORCID 0000-0003-3099-9161
Paolo ProveroDepartment of Neurosciences, University of Turin, 10126, Turin, Italy.ORCID 0000-0001-8664-8630
Luca PaganiDepartment of Biology, University of Padua, Padua, Italy.
Davide MarnettoDepartment of Neurosciences, University of Turin, 10126, Turin, Italy. davide.marnetto@unito.it.ORCID 0000-0001-9573-0601

Funding

EC | European Regional Development Fund (Europski Fond za Regionalni Razvoj) MOBEC008EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 810645Eesti Teadusagentuur (Estonian Research Council) PRG1899Università degli Studi di Torino (University of Turin) Grant For Internationalization 2022
6 · The paper itself

Abstract

The genetic structure in Europe was mostly shaped by admixture between the Western Hunter-Gatherers, Early European Farmers and Steppe Bronze Age ancestral components. Such structure is regarded as a confounder in GWAS and follow-up studies, and gold-standard methods exist to correct for it. However, it is still poorly understood to which extent these ancestral components contribute to complex trait variation in present-day Europe. In this work we harness the UK Biobank to address this question. By extensive demographic simulations, exploiting data on siblings and incorporating previous results we obtained from the Estonian Biobank, we carefully evaluate the significance and scope of our findings. Heart rate, platelet count, bone mineral density and many other traits show stratification similar to height and pigmentation traits, likely targets of selection and divergence across ancestral groups. We show that the reported ancestry-trait associations are not driven by environmental confounders by confirming our results when using between-sibling differences in ancestry. The consistency of our results across biobanks further supports this and indicates that these genetic predispositions that derive from post-Neolithic admixture events act as a source of variability and as potential confounders in Europe as a whole.

Indexed as

Biological Specimen BanksEuropeGenome-Wide Association StudyHumansMultifactorial InheritanceWhite People

Identifiers

PMID39127804
PMCPMC11576899

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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.