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An ensemble penalized regression method for multi-ancestry polygenic risk prediction

An ensemble penalized regression method for multi-ancestry polygenic risk prediction

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e9ada99664a547299a2de31c62d93bb4

An ensemble penalized regression method for multi-ancestry polygenic risk prediction

About this item

Full title

An ensemble penalized regression method for multi-ancestry polygenic risk prediction

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2024-04, Vol.15 (1), p.3238-14, Article 3238

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Great efforts are being made to develop advanced polygenic risk scores (PRS) to improve the prediction of complex traits and diseases. However, most existing PRS are primarily trained on European ancestry populations, limiting their transferability to non-European populations. In this article, we propose a novel method for generating multi-ancestry...

Alternative Titles

Full title

An ensemble penalized regression method for multi-ancestry polygenic risk prediction

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e9ada99664a547299a2de31c62d93bb4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e9ada99664a547299a2de31c62d93bb4

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-024-47357-7

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