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

The genetics of platelet count and volume in humans

Affiliations
Review

The genetics of platelet count and volume in humans

John D Eicher et al. Platelets. 2018 Mar.

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.

Keywords: GWAS; MPV; PLT; Thrombocytopenia; genetics; platelet.

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Conflict of interest statement

Declaration of Interest

No authors of the manuscript have any competing interests to declare in relation to the contents of the manuscript.

Figures

Figure 1.
Figure 1.
Connections among genome-wide significant PLT and MPV associated loci and other traits and diseases via different evidence (shared association, PheWAS, Mendelian Randomization).

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