Evidence map›Paper›PMID 41491820›Full record

ReviewNature reviews. Genetics2026

Ancestral diversity in complex disease genetics: from discovery to translation.

Karoline Kuchenbaecker, Georgina Navoly

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Karoline KuchenbaeckerDivision of Psychiatry, University College London, London, UK. k.kuchenbaecker@ucl.ac.uk.ORCID 0000-0001-9726-603X
Georgina NavolyDivision of Psychiatry, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expansion of ancestrally diverse genetic cohorts has altered the landscape of complex disease genetics. Differences in linkage disequilibrium across populations have improved fine-mapping and the identification of target genes - key steps for translating findings from genome-wide association studies into biological understanding. Whilst there is widespread sharing of genetic architecture across ancestries, loci that display heterogeneity in causal genetic effects across populations can offer unique biological insights. Here, we review how ancestral and global diversity shape genetic discoveries. As we advance towards global precision medicine, integrating genomic data with diverse environmental and social factors will be crucial to account for population-specific contexts that can influence disease risk or treatment response.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationGenetics, PopulationGenome-Wide Association StudyHumansLinkage Disequilibrium

Identifiers

What OpenQuestion holds

Textmetadata
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.