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Genetic diversity

Estimation of cross-ancestry genetic correlations within ancestry tracts of admixed samples

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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Fig. 1: Admixture allows for better controlled estimation of causal effects across ancestries.

References

  1. Popejoy, A. B. Nature 538, 161–164 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Martin, A. R. et al. Nat. Genet. 51, 584–591 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Carlson, C. S. et al. PLoS Biol. 11, e1001661 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Hou, K. et al. Nat. Genet. https://doi.org/10.1038/s41588-023-01338-6 (2023).

  5. Atkinson, E. G. et al. Nat. Genet. 53, 195–204 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Brown, B. C., Ye, C. J., Price, A. L. & Zaitlen, N. Am. J. Hum. Genet. 99, 76–88 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Galinsky, K. J. et al. Genet. Epidemiol. 43, 180–188 (2019).

    Article  PubMed  Google Scholar 

  8. Shi, H. et al. Nat. Comm. 12, 1098 (2021).

    Article  CAS  Google Scholar 

  9. Patel, R. A. et al. Am. J. Hum. Genet. 109, 1286–1297 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Marigorta, U. M. & Navarro, A. PLoS Genet. 9, e1003566 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Saitou, M., Dahl, A., Wang, Q. & Liu, X. Preprint at medRxiv https://doi.org/10.1101/2022.10.21.22281371 (2022).

  12. Mathieson, I. & McVean, G. PLoS Genet. 10, e1004528 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  13. Mägi, R. et al. Hum. Mol. Genet. 26, 3639–3650 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  14. Mills, M. C. & Rahal, C. Nat. Genet. 52, 242–243 (2020).

    Article  CAS  PubMed  Google Scholar 

  15. Sirugo, G., Williams, S. M. & Tishkoff, S. A. Cell 177, 26–31 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

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.

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Correspondence to Elizabeth G. Atkinson.

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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

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