Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe dat...
Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe data sets
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Polygenic risk prediction is a widely investigated topic because of its promising clinical applications. Genetic variants in functional regions of the genome are enriched for complex trait heritability. Here, we introduce a method for polygenic prediction, LDpred-funct, that leverages trait-specific functional priors to increase prediction accuracy...
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Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe data sets
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TN_cdi_doaj_primary_oai_doaj_org_article_1fe277995f5c48348ca78c76a233c4a2
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1fe277995f5c48348ca78c76a233c4a2
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-021-25171-9
