Literature DB >> 36261593

Using human genetics to improve safety assessment of therapeutics.

Keren J Carss1, Aimee M Deaton2,3, Alberto Del Rio-Espinola4,5, Dorothée Diogo6, Mark Fielden7,8, Diptee A Kulkarni9, Jonathan Moggs4, Peter Newham1, Matthew R Nelson10, Frank D Sistare11,12, Lucas D Ward13,14, Jing Yuan2,15.   

Abstract

Human genetics research has discovered thousands of proteins associated with complex and rare diseases. Genome-wide association studies (GWAS) and studies of Mendelian disease have resulted in an increased understanding of the role of gene function and regulation in human conditions. Although the application of human genetics has been explored primarily as a method to identify potential drug targets and support their relevance to disease in humans, there is increasing interest in using genetic data to identify potential safety liabilities of modulating a given target. Human genetic variants can be used as a model to anticipate the effect of lifelong modulation of therapeutic targets and identify the potential risk for on-target adverse events. This approach is particularly useful for non-clinical safety evaluation of novel therapeutics that lack pharmacologically relevant animal models and can contribute to the intrinsic safety profile of a drug target. This Review illustrates applications of human genetics to safety studies during drug discovery and development, including assessing the potential for on- and off-target associated adverse events, carcinogenicity risk assessment, and guiding translational safety study designs and monitoring strategies. A summary of available human genetic resources and recommended best practices is provided. The challenges and future perspectives of translating human genetic information to identify risks for potential drug effects in preclinical and clinical development are discussed.
© 2022. Springer Nature Limited.

Entities:  

Year:  2022        PMID: 36261593     DOI: 10.1038/s41573-022-00561-w

Source DB:  PubMed          Journal:  Nat Rev Drug Discov        ISSN: 1474-1776            Impact factor:   112.288


  229 in total

1.  Human genetics as a foundation for innovative drug development.

Authors:  Alexander Kamb; Sean Harper; Kari Stefansson
Journal:  Nat Biotechnol       Date:  2013-11       Impact factor: 54.908

Review 2.  An analysis of the attrition of drug candidates from four major pharmaceutical companies.

Authors:  Michael J Waring; John Arrowsmith; Andrew R Leach; Paul D Leeson; Sam Mandrell; Robert M Owen; Garry Pairaudeau; William D Pennie; Stephen D Pickett; Jibo Wang; Owen Wallace; Alex Weir
Journal:  Nat Rev Drug Discov       Date:  2015-06-19       Impact factor: 84.694

3.  The support of human genetic evidence for approved drug indications.

Authors:  Matthew R Nelson; Hannah Tipney; Jeffery L Painter; Judong Shen; Paola Nicoletti; Yufeng Shen; Aris Floratos; Pak Chung Sham; Mulin Jun Li; Junwen Wang; Lon R Cardon; John C Whittaker; Philippe Sanseau
Journal:  Nat Genet       Date:  2015-06-29       Impact factor: 38.330

Review 4.  The Genetic Basis of Mendelian Phenotypes: Discoveries, Challenges, and Opportunities.

Authors:  Jessica X Chong; Kati J Buckingham; Shalini N Jhangiani; Corinne Boehm; Nara Sobreira; Joshua D Smith; Tanya M Harrell; Margaret J McMillin; Wojciech Wiszniewski; Tomasz Gambin; Zeynep H Coban Akdemir; Kimberly Doheny; Alan F Scott; Dimitri Avramopoulos; Aravinda Chakravarti; Julie Hoover-Fong; Debra Mathews; P Dane Witmer; Hua Ling; Kurt Hetrick; Lee Watkins; Karynne E Patterson; Frederic Reinier; Elizabeth Blue; Donna Muzny; Martin Kircher; Kaya Bilguvar; Francesc López-Giráldez; V Reid Sutton; Holly K Tabor; Suzanne M Leal; Murat Gunel; Shrikant Mane; Richard A Gibbs; Eric Boerwinkle; Ada Hamosh; Jay Shendure; James R Lupski; Richard P Lifton; David Valle; Deborah A Nickerson; Michael J Bamshad
Journal:  Am J Hum Genet       Date:  2015-07-09       Impact factor: 11.025

5.  Understanding drug targets: no such thing as bad news.

Authors:  Ruth A Roberts
Journal:  Drug Discov Today       Date:  2018-05-24       Impact factor: 7.851

Review 6.  Validating therapeutic targets through human genetics.

Authors:  Robert M Plenge; Edward M Scolnick; David Altshuler
Journal:  Nat Rev Drug Discov       Date:  2013-07-19       Impact factor: 84.694

7.  Current nonclinical testing paradigm enables safe entry to First-In-Human clinical trials: The IQ consortium nonclinical to clinical translational database.

Authors:  Thomas M Monticello; Thomas W Jones; Donna M Dambach; David M Potter; Michael W Bolt; Maggie Liu; Douglas A Keller; Timothy K Hart; Vivek J Kadambi
Journal:  Toxicol Appl Pharmacol       Date:  2017-09-08       Impact factor: 4.219

Review 8.  10 Years of GWAS Discovery: Biology, Function, and Translation.

Authors:  Peter M Visscher; Naomi R Wray; Qian Zhang; Pamela Sklar; Mark I McCarthy; Matthew A Brown; Jian Yang
Journal:  Am J Hum Genet       Date:  2017-07-06       Impact factor: 11.025

9.  Genetics of rheumatoid arthritis contributes to biology and drug discovery.

Authors:  Yukinori Okada; Di Wu; Gosia Trynka; Towfique Raj; Chikashi Terao; Katsunori Ikari; Yuta Kochi; Koichiro Ohmura; Akari Suzuki; Shinji Yoshida; Robert R Graham; Arun Manoharan; Ward Ortmann; Tushar Bhangale; Joshua C Denny; Robert J Carroll; Anne E Eyler; Jeffrey D Greenberg; Joel M Kremer; Dimitrios A Pappas; Lei Jiang; Jian Yin; Lingying Ye; Ding-Feng Su; Jian Yang; Gang Xie; Ed Keystone; Harm-Jan Westra; Tõnu Esko; Andres Metspalu; Xuezhong Zhou; Namrata Gupta; Daniel Mirel; Eli A Stahl; Dorothée Diogo; Jing Cui; Katherine Liao; Michael H Guo; Keiko Myouzen; Takahisa Kawaguchi; Marieke J H Coenen; Piet L C M van Riel; Mart A F J van de Laar; Henk-Jan Guchelaar; Tom W J Huizinga; Philippe Dieudé; Xavier Mariette; S Louis Bridges; Alexandra Zhernakova; Rene E M Toes; Paul P Tak; Corinne Miceli-Richard; So-Young Bang; Hye-Soon Lee; Javier Martin; Miguel A Gonzalez-Gay; Luis Rodriguez-Rodriguez; Solbritt Rantapää-Dahlqvist; Lisbeth Arlestig; Hyon K Choi; Yoichiro Kamatani; Pilar Galan; Mark Lathrop; Steve Eyre; John Bowes; Anne Barton; Niek de Vries; Larry W Moreland; Lindsey A Criswell; Elizabeth W Karlson; Atsuo Taniguchi; Ryo Yamada; Michiaki Kubo; Jun S Liu; Sang-Cheol Bae; Jane Worthington; Leonid Padyukov; Lars Klareskog; Peter K Gregersen; Soumya Raychaudhuri; Barbara E Stranger; Philip L De Jager; Lude Franke; Peter M Visscher; Matthew A Brown; Hisashi Yamanaka; Tsuneyo Mimori; Atsushi Takahashi; Huji Xu; Timothy W Behrens; Katherine A Siminovitch; Shigeki Momohara; Fumihiko Matsuda; Kazuhiko Yamamoto; Robert M Plenge
Journal:  Nature       Date:  2013-12-25       Impact factor: 49.962

10.  Are drug targets with genetic support twice as likely to be approved? Revised estimates of the impact of genetic support for drug mechanisms on the probability of drug approval.

Authors:  Emily A King; J Wade Davis; Jacob F Degner
Journal:  PLoS Genet       Date:  2019-12-12       Impact factor: 5.917

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