Faculty, Staff and Student Publications

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

Publication Date

5-1-2022

Journal

Genetics in Medicine

Abstract

PURPOSE: The Mayo-Baylor RIGHT 10K Study enabled preemptive, sequence-based pharmacogenomics (PGx)-driven drug prescribing practices in routine clinical care within a large cohort. We also generated the tools and resources necessary for clinical PGx implementation and identified challenges that need to be overcome. Furthermore, we measured the frequency of both common genetic variation for which clinical guidelines already exist and rare variation that could be detected by DNA sequencing, rather than genotyping.

METHODS: Targeted oligonucleotide-capture sequencing of 77 pharmacogenes was performed using DNA from 10,077 consented Mayo Clinic Biobank volunteers. The resulting predicted drug response-related phenotypes for 13 genes, including CYP2D6 and HLA, affecting 21 drug-gene pairs, were deposited preemptively in the Mayo electronic health record.

RESULTS: For the 13 pharmacogenes of interest, the genomes of 79% of participants carried clinically actionable variants in 3 or more genes, and DNA sequencing identified an average of 3.3 additional conservatively predicted deleterious variants that would not have been evident using genotyping.

CONCLUSION: Implementation of preemptive rather than reactive and sequence-based rather than genotype-based PGx prescribing revealed nearly universal patient applicability and required integrated institution-wide resources to fully realize individualized drug therapy and to show more efficient use of health care resources.

Keywords

Academic Medical Centers, Base Sequence, Cytochrome P-450 CYP2D6, Genotype, Humans, Pharmacogenetics

DOI

10.1016/j.gim.2022.01.022

PMID

35331649

PMCID

PMC9272414

PubMedCentral® Posted Date

5-1-2023

PubMedCentral® Full Text Version

Author MSS

Published Open-Access

yes

Plum Print visual indicator of research metrics
PlumX Metrics
  • Citations
    • Citation Indexes: 27
  • Captures
    • Readers: 65
  • Mentions
    • News Mentions: 4
  • Social Media
    • Shares, Likes & Comments: 19
see details

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.