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隐藏的蛋白质改变变体影响着不同的人类表型

Margaux L A Hujoel^1,2,3, Robert E Handsaker^3,4,5, Maxwell A Sherman^1,2,3,6

¹Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

bioRxiv : the preprint server for biology

|June 19, 2023

概括

结构变异 (SVs) 是很大的DNA变异. 新的方法揭示了SVs对复杂特征的影响,确定了100个与41个特征的关联,包括高血压和2型糖尿病.

科学领域:

基因组学就是基因组学.
人类遗传学人类遗传学
复杂的特征遗传学复杂的特征遗传学

背景情况:

结构变异 (SV) 是最大的遗传变异类别,但它们在复杂特征中的作用仍未得到充分研究.
以前的遗传关联研究在很大程度上忽视了SVs,因为确定挑战,在理解人类遗传架构方面造成了差距.

研究的目的:

通过大规模的全外因子测序数据确定蛋白质改变结构变异 (SV).
调查 SVs,特别是那些在细分重复和亚外来区域内的 SVs,对人类复杂特征的贡献.

主要方法:

在英国生物银行全外体序列数据 (n=468,570) 中,采用了基于单元型的方法来检测亚外体 SV 和细分重复中的变异.
集成识别的SVs,专注于预测导致基因功能丧失 (pLoF) 的罕见变异,用于遗传关联分析.

主要成果:

确定了pLoF变体之间的100个关联和41个定量特征.
发现RGL3外体6部分缺失对抗高血压风险的保护作用.
揭示了蛋白质编码变化的细分重复对2型糖尿病,时间型和血液细胞特征的显著贡献.

结论:

通过分析以前在大规模研究中错过的基因组变异,可以获得新的遗传见解.
改变蛋白质的SVs,特别是那些在细分重复的SVs,对于理解复杂的人类特征的遗传基础至关重要.
对于全面的遗传关联研究来说,SV检测的先进方法是必不可少的.

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