Sonehara Kyuto, Okada Yukinori
Department of Statistical Genetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Japan.
Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, 565-0871, Japan.
Inflamm Regen. 2021 Mar 10;41(1):8. doi: 10.1186/s41232-021-00158-7.
Genome-wide association studies have identified numerous disease-susceptibility genes. As knowledge of gene-disease associations accumulates, it is becoming increasingly important to translate this knowledge into clinical practice. This challenge involves finding effective drug targets and estimating their potential side effects, which often results in failure of promising clinical trials. Here, we review recent advances and future perspectives in genetics-led drug discovery, with a focus on drug repurposing, Mendelian randomization, and the use of multifaceted omics data.
全基因组关联研究已经鉴定出众多疾病易感基因。随着基因与疾病关联知识的积累,将这些知识转化为临床实践变得越来越重要。这一挑战涉及找到有效的药物靶点并评估其潜在副作用,而这往往导致有前景的临床试验失败。在此,我们综述了遗传学导向药物研发的最新进展和未来前景,重点关注药物再利用、孟德尔随机化以及多组学数据的应用。