Literature DB >> 36068297

The genetic landscape of major drug metabolizing cytochrome P450 genes-an updated analysis of population-scale sequencing data.

Yitian Zhou1, Volker M Lauschke2,3,4.   

Abstract

Genes encoding cytochrome P450 enzymes (CYPs) are extremely polymorphic and multiple CYP variants constitute clinically relevant biomarkers for the guidance of drug selection and dosing. We previously reported the distribution of the most relevant CYP alleles using population-scale sequencing data. Here, we update these findings by making use of the increasing wealth of data, incorporating whole exome and whole genome sequencing data from 141,614 unrelated individuals across 12 human populations. We furthermore extend our previous studies by systematically considering also uncharacterized rare alleles and reveal that they contribute between 1.5% and 17.5% to the overall genetically encoded functional variability. By using established guidelines, we aggregate and translate the available sequencing data into population-specific patterns of metabolizer phenotypes. Combined, the presented data refine the worldwide landscape of ethnogeographic variability in CYP genes and aspire to provide a relevant resource for the optimization of population-specific genotyping strategies and precision public health.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 36068297     DOI: 10.1038/s41397-022-00288-2

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.245


  35 in total

Review 1.  Pharmacogenetics of cytochrome P450 and its applications in drug therapy: the past, present and future.

Authors:  Magnus Ingelman-Sundberg
Journal:  Trends Pharmacol Sci       Date:  2004-04       Impact factor: 14.819

2.  LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants.

Authors:  Mitchell J Machiela; Stephen J Chanock
Journal:  Bioinformatics       Date:  2015-07-02       Impact factor: 6.937

3.  An abundance of rare functional variants in 202 drug target genes sequenced in 14,002 people.

Authors:  Matthew R Nelson; Daniel Wegmann; Margaret G Ehm; Darren Kessner; Pamela St Jean; Claudio Verzilli; Judong Shen; Zhengzheng Tang; Silviu-Alin Bacanu; Dana Fraser; Liling Warren; Jennifer Aponte; Matthew Zawistowski; Xiao Liu; Hao Zhang; Yong Zhang; Jun Li; Yun Li; Li Li; Peter Woollard; Simon Topp; Matthew D Hall; Keith Nangle; Jun Wang; Gonçalo Abecasis; Lon R Cardon; Sebastian Zöllner; John C Whittaker; Stephanie L Chissoe; John Novembre; Vincent Mooser
Journal:  Science       Date:  2012-05-17       Impact factor: 47.728

Review 4.  Pharmacogenomics and individualized drug therapy.

Authors:  Michel Eichelbaum; Magnus Ingelman-Sundberg; William E Evans
Journal:  Annu Rev Med       Date:  2006       Impact factor: 13.739

Review 5.  Prediction of drug response and adverse drug reactions: From twin studies to Next Generation Sequencing.

Authors:  Volker M Lauschke; Magnus Ingelman-Sundberg
Journal:  Eur J Pharm Sci       Date:  2019-01-23       Impact factor: 4.384

6.  Genetic variation in the human cytochrome P450 supergene family.

Authors:  Kohei Fujikura; Magnus Ingelman-Sundberg; Volker M Lauschke
Journal:  Pharmacogenet Genomics       Date:  2015-12       Impact factor: 2.089

7.  Rare genetic variants in cellular transporters, metabolic enzymes, and nuclear receptors can be important determinants of interindividual differences in drug response.

Authors:  Mikael Kozyra; Magnus Ingelman-Sundberg; Volker M Lauschke
Journal:  Genet Med       Date:  2016-04-21       Impact factor: 8.822

8.  Constellation: a tool for rapid, automated phenotype assignment of a highly polymorphic pharmacogene, CYP2D6, from whole-genome sequences.

Authors:  Greyson P Twist; Andrea Gaedigk; Neil A Miller; Emily G Farrow; Laurel K Willig; Darrell L Dinwiddie; Josh E Petrikin; Sarah E Soden; Suzanne Herd; Margaret Gibson; Julie A Cakici; Amanda K Riffel; J Steven Leeder; Deendayal Dinakarpandian; Stephen F Kingsmore
Journal:  NPJ Genom Med       Date:  2016-01-13       Impact factor: 8.617

Review 9.  Population pharmacogenomics: an update on ethnogeographic differences and opportunities for precision public health.

Authors:  Yitian Zhou; Volker M Lauschke
Journal:  Hum Genet       Date:  2021-10-15       Impact factor: 5.881

10.  The mutational constraint spectrum quantified from variation in 141,456 humans.

Authors:  Konrad J Karczewski; Laurent C Francioli; Grace Tiao; Beryl B Cummings; Jessica Alföldi; Qingbo Wang; Ryan L Collins; Kristen M Laricchia; Andrea Ganna; Daniel P Birnbaum; Laura D Gauthier; Harrison Brand; Matthew Solomonson; Nicholas A Watts; Daniel Rhodes; Moriel Singer-Berk; Eleina M England; Eleanor G Seaby; Jack A Kosmicki; Raymond K Walters; Katherine Tashman; Yossi Farjoun; Eric Banks; Timothy Poterba; Arcturus Wang; Cotton Seed; Nicola Whiffin; Jessica X Chong; Kaitlin E Samocha; Emma Pierce-Hoffman; Zachary Zappala; Anne H O'Donnell-Luria; Eric Vallabh Minikel; Ben Weisburd; Monkol Lek; James S Ware; Christopher Vittal; Irina M Armean; Louis Bergelson; Kristian Cibulskis; Kristen M Connolly; Miguel Covarrubias; Stacey Donnelly; Steven Ferriera; Stacey Gabriel; Jeff Gentry; Namrata Gupta; Thibault Jeandet; Diane Kaplan; Christopher Llanwarne; Ruchi Munshi; Sam Novod; Nikelle Petrillo; David Roazen; Valentin Ruano-Rubio; Andrea Saltzman; Molly Schleicher; Jose Soto; Kathleen Tibbetts; Charlotte Tolonen; Gordon Wade; Michael E Talkowski; Benjamin M Neale; Mark J Daly; Daniel G MacArthur
Journal:  Nature       Date:  2020-05-27       Impact factor: 69.504

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