Using human genetics to improve safety assessment of therapeutics

人类疾病 药物开发 疾病 全基因组关联研究 药物发现 孟德尔遗传 医学 计算生物学 人类遗传变异 人类遗传学 人类基因组 生物信息学 风险分析(工程) 生物 药品 遗传学 药理学 基因组 基因 病理 基因型 单核苷酸多态性
作者
Keren Carss,Aimée M. Deaton,Alberto Del Río-Espínola,Dorothée Diogo,Mark R. Fielden,Diptee Kulkarni,Jonathan G. Moggs,Peter Newham,Matthew R. Nelson,Frank D. Sistare,Lucas D. Ward,Jing Yuan
出处
期刊:Nature Reviews Drug Discovery [Nature Portfolio]
卷期号:22 (2): 145-162 被引量:93
标识
DOI:10.1038/s41573-022-00561-w
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
KD完成签到,获得积分10
1秒前
小小乌完成签到,获得积分10
1秒前
Calista发布了新的文献求助30
1秒前
怡然的怀莲完成签到,获得积分10
2秒前
NexusExplorer应助arniu2008采纳,获得10
2秒前
爆米花应助科研采纳,获得10
2秒前
2秒前
LC发布了新的文献求助10
3秒前
3秒前
大爱人生完成签到,获得积分10
3秒前
pluto应助轻松冰夏采纳,获得10
3秒前
小马甲应助垃圾智造者采纳,获得10
4秒前
4秒前
情怀应助sciscisci采纳,获得10
4秒前
5秒前
5秒前
Aziz完成签到 ,获得积分10
5秒前
小蘑菇应助Riggle G采纳,获得10
5秒前
巧克力包发布了新的文献求助10
5秒前
所所应助Lufy采纳,获得10
6秒前
beili完成签到,获得积分10
7秒前
chenhhh完成签到,获得积分10
7秒前
mozhaowen完成签到,获得积分10
8秒前
8秒前
zhy神秘用户完成签到 ,获得积分10
9秒前
大爱人生发布了新的文献求助10
9秒前
咯噔完成签到,获得积分10
9秒前
小马不慌关注了科研通微信公众号
11秒前
学术圈边缘派遣员完成签到,获得积分10
11秒前
13秒前
Duha完成签到,获得积分10
13秒前
多米粥完成签到,获得积分10
13秒前
秀秀发布了新的文献求助10
13秒前
chichu发布了新的文献求助10
15秒前
15秒前
小丁发布了新的文献求助10
16秒前
16秒前
17秒前
17秒前
思源应助YWK采纳,获得10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7760892
求助须知:如何正确求助?哪些是违规求助? 9306059
关于积分的说明 20292218
捐赠科研通 7345396
什么是DOI,文献DOI怎么找? 3313033
关于科研通互助平台的介绍 2463326
邀请新用户注册赠送积分活动 2327211