Literature DB >> 33441860

Identification of ancestry proportions in admixed groups across the Americas using clinical pharmacogenomic SNP panels.

Guilherme Debortoli1, Gilderlanio Santana de Araujo2, Cesar Fortes-Lima3, Esteban J Parra4, Guilherme Suarez-Kurtz5.   

Abstract

We evaluated the performance of three PGx panels to estimate biogeographical ancestry: the DMET panel, and the VIP and Preemptive PGx panels described in the literature. Our analysis indicate that the three panels capture quite well the individual variation in admixture proportions observed in recently admixed populations throughout the Americas, with the Preemptive PGx and DMET panels performing better than the VIP panel. We show that these panels provide reliable information about biogeographic ancestry and can be used to guide the implementation of PGx clinical decision-support (CDS) tools. We also report that using these panels it is possible to control for the effects of population stratification in association studies in recently admixed populations, as exemplified with a warfarin dosing GWA study in a sample from Brazil.

Entities:  

Year:  2021        PMID: 33441860      PMCID: PMC7806998          DOI: 10.1038/s41598-020-80389-9

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  34 in total

1.  Genetic structure of human populations.

Authors:  Noah A Rosenberg; Jonathan K Pritchard; James L Weber; Howard M Cann; Kenneth K Kidd; Lev A Zhivotovsky; Marcus W Feldman
Journal:  Science       Date:  2002-12-20       Impact factor: 47.728

2.  Dispersals and genetic adaptation of Bantu-speaking populations in Africa and North America.

Authors:  Etienne Patin; Marie Lopez; Rebecca Grollemund; Paul Verdu; Christine Harmant; Hélène Quach; Guillaume Laval; George H Perry; Luis B Barreiro; Alain Froment; Evelyne Heyer; Achille Massougbodji; Cesar Fortes-Lima; Florence Migot-Nabias; Gil Bellis; Jean-Michel Dugoujon; Joana B Pereira; Verónica Fernandes; Luisa Pereira; Lolke Van der Veen; Patrick Mouguiama-Daouda; Carlos D Bustamante; Jean-Marie Hombert; Lluís Quintana-Murci
Journal:  Science       Date:  2017-05-05       Impact factor: 47.728

3.  Warfarin pharmacogenetics: a single VKORC1 polymorphism is predictive of dose across 3 racial groups.

Authors:  Nita A Limdi; Mia Wadelius; Larisa Cavallari; Niclas Eriksson; Dana C Crawford; Ming-Ta M Lee; Chien-Hsiun Chen; Alison Motsinger-Reif; Hersh Sagreiya; Nianjun Liu; Alan H B Wu; Brian F Gage; Andrea Jorgensen; Munir Pirmohamed; Jae-Gook Shin; Guilherme Suarez-Kurtz; Stephen E Kimmel; Julie A Johnson; Teri E Klein; Michael J Wagner
Journal:  Blood       Date:  2010-03-04       Impact factor: 22.113

4.  Warfarin maintenance dose in older patients: higher average dose and wider dose frequency distribution in patients of African ancestry than those of European ancestry.

Authors:  Candice L Garwood; Jennifer L Clemente; George N Ibe; Vijay A Kandula; Kristy D Curtis; Peter Whittaker
Journal:  Blood Cells Mol Dis       Date:  2010-04-24       Impact factor: 3.039

5.  Patient-specific factors predictive of warfarin dosage requirements.

Authors:  Randall K Absher; M Elisabeth Moore; Mary H Parker
Journal:  Ann Pharmacother       Date:  2002-10       Impact factor: 3.154

6.  Population structure and eigenanalysis.

Authors:  Nick Patterson; Alkes L Price; David Reich
Journal:  PLoS Genet       Date:  2006-12       Impact factor: 5.917

7.  Second-generation PLINK: rising to the challenge of larger and richer datasets.

Authors:  Christopher C Chang; Carson C Chow; Laurent Cam Tellier; Shashaank Vattikuti; Shaun M Purcell; James J Lee
Journal:  Gigascience       Date:  2015-02-25       Impact factor: 6.524

8.  Towards precision medicine: interrogating the human genome to identify drug pathways associated with potentially functional, population-differentiated polymorphisms.

Authors:  Maulana Bachtiar; Brandon Nick Sern Ooi; Jingbo Wang; Yu Jin; Tin Wee Tan; Samuel S Chong; Caroline G L Lee
Journal:  Pharmacogenomics J       Date:  2019-10-03       Impact factor: 3.550

9.  Pharmacogenomic genotypes define genetic ancestry in patients and enable population-specific genomic implementation.

Authors:  Minoli A Perera; Peter H O'Donnell; Wenndy Hernandez; Keith Danahey; Xun Pei; Kiang-Teck J Yeo; Edward Leung; Samuel L Volchenboum; Mark J Ratain; David O Meltzer; Barbara E Stranger
Journal:  Pharmacogenomics J       Date:  2019-09-11       Impact factor: 3.550

10.  Genome-wide association study of warfarin maintenance dose in a Brazilian sample.

Authors:  Esteban J Parra; Mariana R Botton; Jamila A Perini; S Krithika; Stephane Bourgeois; Todd A Johnson; Tatsuhiko Tsunoda; Munir Pirmohamed; Mia Wadelius; Nita A Limdi; Larisa H Cavallari; James K Burmester; Allan E Rettie; Teri E Klein; Julie A Johnson; Mara H Hutz; Guilherme Suarez-Kurtz
Journal:  Pharmacogenomics       Date:  2015-08-12       Impact factor: 2.533

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  1 in total

1.  Single Nucleotide Variants as Proxies for HLA-A*31:01 in Native American Populations.

Authors:  Vanessa Câmara Fernandes; Marco Antônio M Pretti; Luiza Tamie Tsuneto; Maria Luiza Petzl-Erler; Guilherme Suarez-Kurtz
Journal:  Front Pharmacol       Date:  2022-04-14       Impact factor: 5.810

  1 in total

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