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细胞色素P450药物代谢基因中特定人群常见错义变异的全球图谱。

Global spectrum of population-specific common missense variation in cytochrome P450 pharmacogenes.

作者信息

Chong Cheng-Shoong, Limviphuvadh Vachiranee, Maurer-Stroh Sebastian

机构信息

Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.

Innovations in Food and Chemical Safety Programme (IFCS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.

出版信息

Hum Mutat. 2021 Sep;42(9):1107-1123. doi: 10.1002/humu.24243. Epub 2021 Jun 29.

Abstract

Next-generation sequencing technology has afforded the discovery of many novel variants that are of significance to inheritable pharmacogenomics (PGx) traits but a large proportion of them have unknown consequences. These include missense variants resulting in single amino acid substitutions in cytochrome P450 (CYP) proteins that can impair enzyme function, leading to altered drug efficacy and toxicity. While most unknown variants are rare, an overlooked minority are variants that are collectively rare but enriched in specific populations. Here, we analyzed sequence variation data in 141,456 individuals from across eight study populations in gnomAD for 38 CYP genes to identify such variants in addition to common variants. By further comparison with data from two PGx-specific databases (PharmVar and PharmGKB) and ClinVar, we identified 234 missense variants in 35 CYP genes, of which 107 were unknown to these databases. Most unknown variants (n = 83) were population-specific common variants and several (n = 7) were found in important CYP pharmacogenes (CYP2D6, CYP4F2, and CYP2C19). Overall, 29% (n = 31) of 107 unknown variants were predicted to affect CYP enzyme function although further biochemical characterization is necessary. These variants may elucidate part of the unexplained interpopulation differences observed in drug response.

摘要

下一代测序技术使人们发现了许多对可遗传药物基因组学(PGx)特征具有重要意义的新型变异,但其中很大一部分变异的后果尚不清楚。这些变异包括错义变异,可导致细胞色素P450(CYP)蛋白中的单个氨基酸替换,从而损害酶功能,导致药物疗效和毒性改变。虽然大多数未知变异很罕见,但有一小部分被忽视的变异在特定人群中虽总体罕见但却富集。在这里,我们分析了gnomAD中来自八个研究人群的141456名个体的38个CYP基因的序列变异数据,以识别除常见变异外的此类变异。通过与两个PGx特定数据库(PharmVar和PharmGKB)以及ClinVar的数据进一步比较,我们在35个CYP基因中鉴定出234个错义变异,其中107个是这些数据库未知的。大多数未知变异(n = 83)是特定人群的常见变异,还有几个(n = 7)在重要的CYP药物代谢基因(CYP2D6、CYP4F2和CYP2C19)中被发现。总体而言,107个未知变异中有29%(n = 31)预计会影响CYP酶功能,不过还需要进一步的生化特征分析。这些变异可能有助于解释在药物反应中观察到的部分无法解释的人群间差异。

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