Literature DB >> 33237584

Pharmacogenetics at Scale: An Analysis of the UK Biobank.

Gregory McInnes1, Adam Lavertu1, Katrin Sangkuhl2, Teri E Klein2,3, Michelle Whirl-Carrillo2, Russ B Altman2,4.   

Abstract

Pharmacogenetics (PGx) studies the influence of genetic variation on drug response. Clinically actionable associations inform guidelines created by the Clinical Pharmacogenetics Implementation Consortium (CPIC), but the broad impact of genetic variation on entire populations is not well understood. We analyzed PGx allele and phenotype frequencies for 487,409 participants in the UK Biobank, the largest PGx study to date. For 14 CPIC pharmacogenes known to influence human drug response, we find that 99.5% of individuals may have an atypical response to at least 1 drug; on average they may have an atypical response to 10.3 drugs. Nearly 24% of participants have been prescribed a drug for which they are predicted to have an atypical response. Non-European populations carry a greater frequency of variants that are predicted to be functionally deleterious; many of these are not captured by current PGx allele definitions. Strategies for detecting and interpreting rare variation will be critical for enabling broad application of pharmacogenetics.
© 2020 The Author Clinical Pharmacology & Therapeutics © 2020 American Society for Clinical Pharmacology and Therapeutics.

Entities:  

Mesh:

Year:  2020        PMID: 33237584      PMCID: PMC8144239          DOI: 10.1002/cpt.2122

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.903


  33 in total

1.  Standardized Biogeographic Grouping System for Annotating Populations in Pharmacogenetic Research.

Authors:  Rachel Huddart; Alison E Fohner; Michelle Whirl-Carrillo; Genevieve L Wojcik; Christopher R Gignoux; Alice B Popejoy; Carlos D Bustamante; Russ B Altman; Teri E Klein
Journal:  Clin Pharmacol Ther       Date:  2019-01-21       Impact factor: 6.875

2.  ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data.

Authors:  Kai Wang; Mingyao Li; Hakon Hakonarson
Journal:  Nucleic Acids Res       Date:  2010-07-03       Impact factor: 16.971

3.  PGRNseq: a targeted capture sequencing panel for pharmacogenetic research and implementation.

Authors:  Adam S Gordon; Robert S Fulton; Xiang Qin; Elaine R Mardis; Deborah A Nickerson; Steve Scherer
Journal:  Pharmacogenet Genomics       Date:  2016-04       Impact factor: 2.089

4.  High plasma pravastatin concentrations are associated with single nucleotide polymorphisms and haplotypes of organic anion transporting polypeptide-C (OATP-C, SLCO1B1).

Authors:  Mikko Niemi; Elke Schaeffeler; Thomas Lang; Martin F Fromm; Mikko Neuvonen; Carl Kyrklund; Janne T Backman; Reinhold Kerb; Matthias Schwab; Pertti J Neuvonen; Michel Eichelbaum; Kari T Kivistö
Journal:  Pharmacogenetics       Date:  2004-07

5.  The star-allele nomenclature: retooling for translational genomics.

Authors:  J D Robarge; L Li; Z Desta; A Nguyen; D A Flockhart
Journal:  Clin Pharmacol Ther       Date:  2007-09       Impact factor: 6.875

6.  Polymorphisms of OATP-C (SLC21A6) and OAT3 (SLC22A8) genes: consequences for pravastatin pharmacokinetics.

Authors:  Yohei Nishizato; Ichiro Ieiri; Hiroshi Suzuki; Miyuki Kimura; Kiyoshi Kawabata; Takeshi Hirota; Hiroshi Takane; Shin Irie; Hiroyuki Kusuhara; Yoko Urasaki; Akinori Urae; Shun Higuchi; Kenji Otsubo; Yuichi Sugiyama
Journal:  Clin Pharmacol Ther       Date:  2003-06       Impact factor: 6.875

Review 7.  Pharmacogenomics and big genomic data: from lab to clinic and back again.

Authors:  Adam Lavertu; Greg McInnes; Roxana Daneshjou; Michelle Whirl-Carrillo; Teri E Klein; Russ B Altman
Journal:  Hum Mol Genet       Date:  2018-05-01       Impact factor: 6.150

8.  Fast and accurate long-range phasing in a UK Biobank cohort.

Authors:  Po-Ru Loh; Pier Francesco Palamara; Alkes L Price
Journal:  Nat Genet       Date:  2016-06-06       Impact factor: 38.330

9.  Genetic variation among 82 pharmacogenes: The PGRNseq data from the eMERGE network.

Authors:  W S Bush; D R Crosslin; A Owusu-Obeng; J Wallace; B Almoguera; M A Basford; S J Bielinski; D S Carrell; J J Connolly; D Crawford; K F Doheny; C J Gallego; A S Gordon; B Keating; J Kirby; T Kitchner; S Manzi; A R Mejia; V Pan; C L Perry; J F Peterson; C A Prows; J Ralston; S A Scott; A Scrol; M Smith; S C Stallings; T Veldhuizen; W Wolf; S Volpi; K Wiley; R Li; T Manolio; E Bottinger; M H Brilliant; D Carey; R L Chisholm; C G Chute; J L Haines; H Hakonarson; J B Harley; I A Holm; I J Kullo; G P Jarvik; E B Larson; C A McCarty; M S Williams; J C Denny; L J Rasmussen-Torvik; D M Roden; M D Ritchie
Journal:  Clin Pharmacol Ther       Date:  2016-06-01       Impact factor: 6.875

10.  The UCSC Genome Browser database: 2019 update.

Authors:  Maximilian Haeussler; Ann S Zweig; Cath Tyner; Matthew L Speir; Kate R Rosenbloom; Brian J Raney; Christopher M Lee; Brian T Lee; Angie S Hinrichs; Jairo Navarro Gonzalez; David Gibson; Mark Diekhans; Hiram Clawson; Jonathan Casper; Galt P Barber; David Haussler; Robert M Kuhn; W James Kent
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

View more
  16 in total

Review 1.  Keeping pace with CYP2D6 haplotype discovery: innovative methods to assign function.

Authors:  Karen E Brown; Jack W Staples; Erica L Woodahl
Journal:  Pharmacogenomics       Date:  2022-01-27       Impact factor: 2.533

2.  A polygenic-score-based approach for identification of gene-drug interactions stratifying breast cancer risk.

Authors:  Andrew R Marderstein; Scott Kulm; Cheng Peng; Rulla Tamimi; Andrew G Clark; Olivier Elemento
Journal:  Am J Hum Genet       Date:  2021-08-06       Impact factor: 11.025

3.  Biobank Scale Pharmacogenomics Informs the Genetic Underpinnings of Simvastatin Use.

Authors:  Frank R Wendt; Dora Koller; Gita A Pathak; Daniel Jacoby; Edward J Miller; Renato Polimanti
Journal:  Clin Pharmacol Ther       Date:  2021-04-30       Impact factor: 6.903

4.  Implementation of preemptive DNA sequence-based pharmacogenomics testing across a large academic medical center: The Mayo-Baylor RIGHT 10K Study.

Authors:  Liewei Wang; Steven E Scherer; Suzette J Bielinski; Donna M Muzny; Leila A Jones; John Logan Black; Ann M Moyer; Jyothsna Giri; Richard R Sharp; Eric T Matey; Jessica A Wright; Lance J Oyen; Wayne T Nicholson; Mathieu Wiepert; Terri Sullard; Timothy B Curry; Carolyn R Rohrer Vitek; Tammy M McAllister; Jennifer L St Sauver; Pedro J Caraballo; Konstantinos N Lazaridis; Eric Venner; Xiang Qin; Jianhong Hu; Christie L Kovar; Viktoriya Korchina; Kimberly Walker; HarshaVardhan Doddapaneni; Tsung-Jung Wu; Ritika Raj; Shawn Denson; Wen Liu; Gauthami Chandanavelli; Lan Zhang; Qiaoyan Wang; Divya Kalra; Mary Beth Karow; Kimberley J Harris; Hugues Sicotte; Sandra E Peterson; Amy E Barthel; Brenda E Moore; Jennifer M Skierka; Michelle L Kluge; Katrina E Kotzer; Karen Kloke; Jessica M Vander Pol; Heather Marker; Joseph A Sutton; Adrijana Kekic; Ashley Ebenhoh; Dennis M Bierle; Michael J Schuh; Christopher Grilli; Sara Erickson; Audrey Umbreit; Leah Ward; Sheena Crosby; Eric A Nelson; Sharon Levey; Michelle Elliott; Steve G Peters; Naveen Pereira; Mark Frye; Fadi Shamoun; Matthew P Goetz; Iftikhar J Kullo; Robert Wermers; Jan A Anderson; Christine M Formea; Razan M El Melik; John D Zeuli; Joseph R Herges; Carrie A Krieger; Robert W Hoel; Jodi L Taraba; Scott R St Thomas; Imad Absah; Matthew E Bernard; Stephanie R Fink; Andrea Gossard; Pamela L Grubbs; Therese M Jacobson; Paul Takahashi; Sharon C Zehe; Susan Buckles; Michelle Bumgardner; Colette Gallagher; Kelliann Fee-Schroeder; Nichole R Nicholas; Melody L Powers; Ahmed K Ragab; Darcy M Richardson; Anthony Stai; Jaymi Wilson; Joel E Pacyna; Janet E Olson; Erica J Sutton; Annika T Beck; Caroline Horrow; Krishna R Kalari; Nicholas B Larson; Hongfang Liu; Liwei Wang; Guilherme S Lopes; Bijan J Borah; Robert R Freimuth; Ye Zhu; Debra J Jacobson; Matthew A Hathcock; Sebastian M Armasu; Michaela E McGree; Ruoxiang Jiang; Tyler H Koep; Jason L Ross; Matthew G Hilden; Kathleen Bosse; Bronwyn Ramey; Isabelle Searcy; Eric Boerwinkle; Richard A Gibbs; Richard M Weinshilboum
Journal:  Genet Med       Date:  2022-03-21       Impact factor: 8.864

Review 5.  Opportunities and challenges for the computational interpretation of rare variation in clinically important genes.

Authors:  Gregory McInnes; Andrew G Sharo; Megan L Koleske; Julia E H Brown; Matthew Norstad; Aashish N Adhikari; Sheng Wang; Steven E Brenner; Jodi Halpern; Barbara A Koenig; David C Magnus; Renata C Gallagher; Kathleen M Giacomini; Russ B Altman
Journal:  Am J Hum Genet       Date:  2021-04-01       Impact factor: 11.025

6.  The Influence of CYP2D6 and CYP2C19 Genetic Variation on Diabetes Mellitus Risk in People Taking Antidepressants and Antipsychotics.

Authors:  Isabelle Austin-Zimmerman; Marta Wronska; Baihan Wang; Haritz Irizar; Johan H Thygesen; Anjali Bhat; Spiros Denaxas; Ghazaleh Fatemifar; Chris Finan; Jasmine Harju-Seppänen; Olga Giannakopoulou; Karoline Kuchenbaecker; Eirini Zartaloudi; Andrew McQuillin; Elvira Bramon
Journal:  Genes (Basel)       Date:  2021-11-03       Impact factor: 4.096

7.  Clinical pharmacogenetic analysis in 5,001 individuals with diagnostic Exome Sequencing data.

Authors:  Javier Lanillos; Marta Carcajona; Paolo Maietta; Sara Alvarez; Cristina Rodriguez-Antona
Journal:  NPJ Genom Med       Date:  2022-02-18       Impact factor: 8.617

Review 8.  From pharmacogenetics to pharmaco-omics: Milestones and future directions.

Authors:  Chiara Auwerx; Marie C Sadler; Alexandre Reymond; Zoltán Kutalik
Journal:  HGG Adv       Date:  2022-03-16

9.  Drug Response Pharmacogenetics for 200,000 UK Biobank Participants.

Authors:  Gregory McInnes; Russ B Altman
Journal:  Pac Symp Biocomput       Date:  2021

Review 10.  Genomewide Association Studies in Pharmacogenomics.

Authors:  Gregory McInnes; Sook Wah Yee; Yash Pershad; Russ B Altman
Journal:  Clin Pharmacol Ther       Date:  2021-07-18       Impact factor: 6.875

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.