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人类血小板计数和体积的遗传学研究。

The genetics of platelet count and volume in humans.

机构信息

a Population Sciences Branch , National Heart Lung and Blood Institute, The Framingham Heart Study , Framingham , MA , USA.

b Department of Medicine , Université de Montréal , Montréal , Québec , Canada.

出版信息

Platelets. 2018 Mar;29(2):125-130. doi: 10.1080/09537104.2017.1317732. Epub 2017 Jun 26.

Abstract

The last decade has witnessed an explosion in the depth, variety, and amount of human genetic data that can be generated. This revolution in technical and analytical capacities has enabled the genetic investigation of human traits and disease in thousands to now millions of participants. Investigators have taken advantage of these advancements to gain insight into platelet biology and the platelet's role in human disease. To do so, large human genetics studies have examined the association of genetic variation with two quantitative traits measured in many population and patient based cohorts: platelet count (PLT) and mean platelet volume (MPV). This article will review the many human genetic strategies-ranging from genome-wide association study (GWAS), Exomechip, whole exome sequencing (WES), to whole genome sequencing (WGS)-employed to identify genes and variants that contribute to platelet traits. Additionally, we will discuss how these investigations have examined and interpreted the functional implications of these newly identified genetic factors and whether they also impart risk to human disease. The depth and size of genetic, phenotypic, and other -omic data are primed to continue their growth in the coming years and provide unprecedented opportunities to gain critical insights into platelet biology and how platelets contribute to disease.

摘要

在过去的十年中,人类遗传数据的深度、多样性和数量都呈爆炸式增长,这些数据可以被生成。技术和分析能力的这一革命使数以千计、现在甚至数以百万计的参与者能够对人类特征和疾病进行遗传研究。研究人员利用这些进展深入了解血小板生物学以及血小板在人类疾病中的作用。为此,许多大型人类遗传学研究已经研究了遗传变异与两种在人群和患者队列中测量的定量特征之间的关联:血小板计数 (PLT) 和平均血小板体积 (MPV)。本文将回顾用于识别导致血小板特征的基因和变异的许多人类遗传策略,范围从全基因组关联研究 (GWAS)、外显子组芯片、全外显子测序 (WES) 到全基因组测序 (WGS)。此外,我们还将讨论这些研究如何检查和解释这些新鉴定的遗传因素的功能意义,以及它们是否也会给人类疾病带来风险。遗传、表型和其他组学数据的深度和规模将在未来几年继续增长,并为深入了解血小板生物学以及血小板如何导致疾病提供前所未有的机会。

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