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A Systematic Review of Polygenic Models for Predicting Drug Outcomes

A Systematic Review of Polygenic Models for Predicting Drug Outcomes

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9505711

A Systematic Review of Polygenic Models for Predicting Drug Outcomes

About this item

Full title

A Systematic Review of Polygenic Models for Predicting Drug Outcomes

Publisher

Basel: MDPI AG

Journal title

Journal of personalized medicine, 2022-08, Vol.12 (9), p.1394

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Polygenic models have emerged as promising prediction tools for the prediction of complex traits. Currently, the majority of polygenic models are developed in the context of predicting disease risk, but polygenic models may also prove useful in predicting drug outcomes. This study sought to understand how polygenic models incorporating pharmacogene...

Alternative Titles

Full title

A Systematic Review of Polygenic Models for Predicting Drug Outcomes

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9505711

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9505711

Other Identifiers

ISSN

2075-4426

E-ISSN

2075-4426

DOI

10.3390/jpm12091394

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