Quantifying whether different populations share similar effect sizes of common causal variants is vital to understand the genetic basis of disease and build better prediction models. A new study proposes a method leveraging admixture to estimate the correlation of causal genetic variants and finds they are largely similar across ancestry backgrounds.
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E.G.A. is supported by K01MH121659 from NIH/NIMH, the Caroline Wiess Law Fund for Research in Molecular Medicine, and the ARCO Foundation Young Teacher-Investigator Fund at Baylor College of Medicine.
The author has no competing interests to declare.
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Atkinson, E.G. Estimation of cross-ancestry genetic correlations within ancestry tracts of admixed samples. Nat Genet 55, 527–529 (2023). https://doi.org/10.1038/s41588-023-01325-x