Nature CommunicationsGenomicsPeer-reviewed journal article
Genome Sequencing Unveils a New Regulatory Landscape of Platelet Reactivity
Ali Reza KeramatiiD, Ming‐Huei CheniD, Benjamin A.T. RodrigueziD, Lisa R. YanekiD, Arunoday Bhan, Brady J. GaynoriD, Kathleen A. RyaniD, Jennifer A. BrodyiD, Xue Yun ZhongiD, Qiang WeiiD, Namiko AbeiD, Gonçalo R. AbecasisiD, François AguetiD, Christine M. AlbertiD, Laura A. AlmasyiD, Álvaro AlonsoiD, Seth A. AmentiD, Peter Anderson, Pramod AnuguiD, Deborah M. Applebaum-Bowden, Kristin ArdlieiD, Dan E. ArkingiD, Donna K. ArnettiD, Allison E. Ashley‐KochiD, Stella W. AslibekyaniD, , Paul S. de VriesiD
Abstract
Exaggerated platelet aggregation at the site of vascular injury is the underlying pathophysiology of thrombotic diseases. Here, we conduct the largest whole genome sequencing (WGS) effort to uncover the genetic determinants of platelet aggregation. Leveraging 3,855 NHLBI Trans-Omics for Precision Medicine (TOPMed) individuals deeply phenotyped for platelet aggregation, we identify 18 loci using single-variant approaches. This includes the novel RGS18 locus encoding a myeloerythroid lineage-specific regulator of G-protein signaling that co-localizes with eQTL signatures for RGS18 expression in platelets. A gene-based approach focusing on deleterious coding variants identifies the SVEP1 gene, previously shown to be associated with coronary artery disease, as a novel determinant of platelet aggregation. Finally, in an integrative approach leveraging epigenetic data on megakaryocytes, we find strong association between rare variants mapping to a super enhancer region for PEAR1. This is a novel finding implicating the importance of rare variants with regulatory potential in a previously documented GWAS-identified locus.
- organism: human
- assay: whole-genome sequencing
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 51
- FWCI
- 4.80
- Field percentile
- top 4%
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