Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk...
Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores
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Publisher
New York: Nature Publishing Group US
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Language
English
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Publisher
New York: Nature Publishing Group US
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Contents
Polygenic risk scores suffer reduced accuracy in non-European populations, exacerbating health disparities. We propose PolyPred, a method that improves cross-population polygenic risk scores by combining two predictors: a new predictor that leverages functionally informed fine-mapping to estimate causal effects (instead of tagging effects), address...
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Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores
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TN_cdi_proquest_miscellaneous_2648897215
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2648897215
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ISSN
1061-4036
E-ISSN
1546-1718
DOI
10.1038/s41588-022-01036-9
