Pharmacogenetic allele variant frequencies: An analysis of the VA's Million Veteran Program (MVP) as a representation of the diversity in US population.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 24 08 2022
accepted: 03 02 2023
entrez: 24 2 2023
pubmed: 25 2 2023
medline: 3 3 2023
Statut: epublish

Résumé

We present allele frequencies of pharmacogenomics relevant variants across multiple ancestry in a sample representative of the US population. We analyzed 658,582 individuals with genotype data and extracted pharmacogenomics relevant single nucleotide variant (SNV) alleles, human leukocyte antigens (HLA) 4-digit alleles and an important copy number variant (CNV), the full deletion/duplication of CYP2D6. We compiled distinct allele frequency tables for European, African American, Hispanic, and Asian ancestry individuals. In addition, we compiled allele frequencies based on local ancestry reconstruction in the African-American (2-way deconvolution) and Hispanic (3-way deconvolution) cohorts.

Identifiants

pubmed: 36827430
doi: 10.1371/journal.pone.0274339
pii: PONE-D-22-23467
pmc: PMC9956596
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0274339

Informations de copyright

Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Kyriacos Markianos (K)

Center for Data and Computational Sciences, VA Boston HealthCare System, Boston, MA, United States of America.

Frederic Dong (F)

Center for Data and Computational Sciences, VA Boston HealthCare System, Boston, MA, United States of America.

Bryan Gorman (B)

Center for Data and Computational Sciences, VA Boston HealthCare System, Boston, MA, United States of America.

Yunling Shi (Y)

Center for Data and Computational Sciences, VA Boston HealthCare System, Boston, MA, United States of America.

Daniel Dochtermann (D)

Center for Data and Computational Sciences, VA Boston HealthCare System, Boston, MA, United States of America.

Uma Saxena (U)

Center for Data and Computational Sciences, VA Boston HealthCare System, Boston, MA, United States of America.

Poornima Devineni (P)

Center for Data and Computational Sciences, VA Boston HealthCare System, Boston, MA, United States of America.

Jennifer Moser (J)

The office of Research and Development, US Department of Veterans Affairs, Washington, DC, United States of America.

Sumitra Muralidhar (S)

The office of Research and Development, US Department of Veterans Affairs, Washington, DC, United States of America.

Rachel Ramoni (R)

The office of Research and Development, US Department of Veterans Affairs, Washington, DC, United States of America.

Philip Tsao (P)

VA Palo Alto Health Care System, Palo Alto, CA, United States of America.

Saiju Pyarajan (S)

Center for Data and Computational Sciences, VA Boston HealthCare System, Boston, MA, United States of America.

Ronald Przygodzki (R)

The office of Research and Development, US Department of Veterans Affairs, Washington, DC, United States of America.

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Classifications MeSH