The repertoire of G-protein-coupled receptor variations in the Japanese population 54KJPN.

IF 1.3 4区 生物学 Q4 CELL BIOLOGY
Genes to Cells Pub Date : 2024-09-23 DOI:10.1111/gtc.13164
Tatsuya Ikuta, Riko Suzuki, Asuka Inoue
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引用次数: 0

Abstract

G-protein-coupled receptors (GPCRs) are the largest superfamily in the human genome and the major targets for the market drugs. Recent massive genomics studies revealed numerous natural variations in the general population. 54KJPN is the most extensive Japanese population genomics study, curating the whole genome sequences from about 54,000 individuals. Here, by analyzing 390 non-olfactory GPCR genes in the 54KJPN dataset, we annotated 25,443 missense single-nucleotide variations. Among them, we found 120 major variations that appear with an allele frequency greater than 0.5, including variations that occurred on posttranslational modification sites. Structural alignment of GPCRs using the generic numbering system in the GPCRdb reveals enrichment of alterations in the conserved arginine residue within the DRY motif, which contributes to downstream G-protein signaling. A comparison with the worldwide 1000 Genomes Project (1KGP) dataset found 23 variations that were present exclusively in the 54KJPN dataset. This study will be the basis for future pharmacogenomics studies for the Japanese population.

日本人口中 G 蛋白偶联受体变异的剧目 54KJPN.
G 蛋白偶联受体(GPCR)是人类基因组中最大的超家族,也是市场上药物的主要靶点。最近的大规模基因组研究揭示了普通人群中的大量自然变异。54KJPN 是最广泛的日本人群基因组学研究,收集了约 54,000 人的全基因组序列。在这里,通过分析 54KJPN 数据集中的 390 个非嗅觉 GPCR 基因,我们注释了 25,443 个错义单核苷酸变异。其中,我们发现了等位基因频率大于 0.5 的 120 个主要变异,包括发生在翻译后修饰位点上的变异。使用 GPCRdb 中的通用编号系统对 GPCR 进行结构比对,发现 DRY 矩阵中保守的精氨酸残基发生了富集变异,而这有助于下游的 G 蛋白信号转导。与全球千人基因组计划(1KGP)数据集的比较发现,有 23 个变异只存在于 54KJPN 数据集中。这项研究将成为未来日本人口药物基因组学研究的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Genes to Cells
Genes to Cells 生物-细胞生物学
CiteScore
3.40
自引率
0.00%
发文量
71
审稿时长
3 months
期刊介绍: Genes to Cells provides an international forum for the publication of papers describing important aspects of molecular and cellular biology. The journal aims to present papers that provide conceptual advance in the relevant field. Particular emphasis will be placed on work aimed at understanding the basic mechanisms underlying biological events.
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