Emerging strategies to bridge the gap between pharmacogenomic research and its clinical implementation.

Genetic markers Predictive markers

Journal

NPJ genomic medicine
ISSN: 2056-7944
Titre abrégé: NPJ Genom Med
Pays: England
ID NLM: 101685193

Informations de publication

Date de publication:
2020
Historique:
received: 25 09 2019
accepted: 15 01 2020
entrez: 21 3 2020
pubmed: 21 3 2020
medline: 21 3 2020
Statut: epublish

Résumé

The genomic inter-individual heterogeneity remains a significant challenge for both clinical decision-making and the design of clinical trials. Although next-generation sequencing (NGS) is increasingly implemented in drug development and clinical trials, translation of the obtained genomic information into actionable clinical advice lags behind. Major reasons are the paucity of sufficiently powered trials that can quantify the added value of pharmacogenetic testing, and the considerable pharmacogenetic complexity with millions of rare variants with unclear functional consequences. The resulting uncertainty is reflected in inconsistencies of pharmacogenomic drug labels in Europe and the United States. In this review, we discuss how the knowledge gap for bridging pharmacogenomics into the clinics can be reduced. First, emerging methods that allow the high-throughput experimental characterization of pharmacogenomic variants combined with novel computational tools hold promise to improve the accuracy of drug response predictions. Second, tapping of large biobanks of therapeutic drug monitoring data allows to conduct high-powered retrospective studies that can validate the clinical importance of genetic variants, which are currently incompletely characterized. Combined, we are confident that these methods will improve the accuracy of drug response predictions and will narrow the gap between variant identification and its utilization for clinical decision-support.

Identifiants

pubmed: 32194983
doi: 10.1038/s41525-020-0119-2
pii: 119
pmc: PMC7057970
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

9

Informations de copyright

© The Author(s) 2020.

Déclaration de conflit d'intérêts

Competing interestsV.M.L. and M.I.-S. are co-founders and shareholders of HepaPredict AB.

Références

Pharmacogenet Genomics. 2019 Feb;29(2):31-38
pubmed: 30531377
Clin Lung Cancer. 2006 Mar;7(5):326-31
pubmed: 16640804
Nat Genet. 2018 Aug;50(8):1171-1179
pubmed: 30013180
Hum Genet. 2019 Dec;138(11-12):1359-1377
pubmed: 31679053
J Mol Biol. 2013 Apr 26;425(8):1363-77
pubmed: 23376099
Clin Pharmacol Ther. 2015 Mar;97(3):263-73
pubmed: 25669658
Nature. 2012 Nov 1;491(7422):138-42
pubmed: 23041932
Genet Med. 2018 Jun;20(6):622-629
pubmed: 29261188
J Pers Med. 2018 Jul 24;8(3):
pubmed: 30042363
Pharmacogenomics J. 2019 Apr;19(2):115-126
pubmed: 30206299
Sci Rep. 2017 Sep 4;7(1):8416
pubmed: 28871186
Circulation. 2008 Sep 23;118(13):1383-93
pubmed: 18809808
Nat Methods. 2010 Sep;7(9):741-6
pubmed: 20711194
Mol Biol Evol. 2014 Jun;31(6):1581-92
pubmed: 24567513
Anal Biochem. 2014 Mar 15;449:90-8
pubmed: 24333246
Nat Genet. 2016 Feb;48(2):214-20
pubmed: 26727659
Pharmacogenet Genomics. 2019 Oct;29(8):192-199
pubmed: 31461080
Hum Mutat. 2017 Mar;38(3):310-316
pubmed: 28044414
Nature. 2012 Nov 1;491(7422):56-65
pubmed: 23128226
Nat Genet. 2016 Dec;48(12):1570-1575
pubmed: 27749844
Sci Rep. 2016 Mar 02;6:22468
pubmed: 26932450
Hum Mutat. 2013 Jan;34(1):57-65
pubmed: 23033316
N Engl J Med. 2013 Dec 12;369(24):2294-303
pubmed: 24251363
Clin Pharmacol Ther. 2019 Nov 12;:
pubmed: 31715018
Pharmacogenomics J. 2020 Feb;20(1):104-113
pubmed: 31395958
Hum Genomics. 2018 May 25;12(1):26
pubmed: 29793534
AAPS J. 2017 Nov 27;20(1):4
pubmed: 29181807
Genet Med. 2017 Jan;19(1):20-29
pubmed: 27101133
Pharmacol Res. 2019 Jan;139:550-559
pubmed: 30359687
Front Pharmacol. 2018 Dec 04;9:1437
pubmed: 30564131
J Pharm Sci. 2017 Sep;106(9):2368-2379
pubmed: 28619604
Cell. 2018 Jan 11;172(1-2):41-54.e19
pubmed: 29249361
Pharmacogenomics. 2019 Sep;20(14):1033-1047
pubmed: 31559921
Nat Genet. 2018 Aug;50(8):1161-1170
pubmed: 30038395
Lancet Psychiatry. 2019 May;6(5):418-426
pubmed: 31000417
Pharmacogenomics J. 2018 Jan;18(1):187-195
pubmed: 27779249
Clin Pharmacol Ther. 2016 Aug;100(2):160-9
pubmed: 26857349
BMC Bioinformatics. 2019 Feb 6;20(1):65
pubmed: 30727941
PLoS One. 2012;7(10):e46688
pubmed: 23056405
Am J Psychiatry. 2018 May 1;175(5):463-470
pubmed: 29325448
Nat Commun. 2019 Apr 23;10(1):1869
pubmed: 31015479
Pharmacol Ther. 2019 May;197:122-152
pubmed: 30677473
Bioinformatics. 2018 Feb 1;34(3):511-513
pubmed: 28968714
Front Genet. 2019 Jan 31;10:7
pubmed: 30766545
PLoS Genet. 2015 Feb 11;11(2):e1004918
pubmed: 25671604
Nat Methods. 2016 Nov;13(11):928-930
pubmed: 27723752
Genome Res. 2001 May;11(5):863-74
pubmed: 11337480
Pharm Res. 2017 Aug;34(8):1615-1625
pubmed: 28181117
Nat Methods. 2014 Apr;11(4):361-2
pubmed: 24681721
Hum Mol Genet. 2014 Apr 15;23(8):1957-63
pubmed: 24282029
Nat Genet. 2014 Mar;46(3):310-5
pubmed: 24487276
Science. 2012 Feb 17;335(6070):823-8
pubmed: 22344438
Nat Methods. 2015 Aug;12(8):780-6
pubmed: 26121404
Nat Methods. 2010 Apr;7(4):248-9
pubmed: 20354512
HLA. 2018 Feb;91(2):88-101
pubmed: 29171935
Nat Methods. 2014 Aug;11(8):801-7
pubmed: 25075907
Am J Hum Genet. 2014 Jul 3;95(1):5-23
pubmed: 24995866
Pharmacogenet Genomics. 2015 Dec;25(12):584-94
pubmed: 26340336
Hum Mutat. 2016 Mar;37(3):315-23
pubmed: 26602992
F1000Res. 2015 Jan 21;4:17
pubmed: 25901276
Genetics. 2015 Jun;200(2):413-22
pubmed: 25823446
Cell Syst. 2018 Jan 24;6(1):116-124.e3
pubmed: 29226803
Nat Genet. 2018 Jun;50(6):874-882
pubmed: 29785012
Pharmacogenet Genomics. 2019 Sep;29(7):179-182
pubmed: 31107373
Clin Pharmacol Ther. 2017 Oct;102(4):688-700
pubmed: 28378927

Auteurs

Volker M Lauschke (VM)

Department of Physiology and Pharmacology, Karolinska Institutet, SE-171 77 Stockholm, Sweden.

Magnus Ingelman-Sundberg (M)

Department of Physiology and Pharmacology, Karolinska Institutet, SE-171 77 Stockholm, Sweden.

Classifications MeSH