@article{604e8197d46443bdae3c65fbff23452f,
title = "Exploring the Genetic Architecture of Spontaneous Coronary Artery Dissection Using Whole-Genome Sequencing",
abstract = "Background: Spontaneous coronary artery dissection (SCAD) is a cause of acute coronary syndrome that predominantly affects women. Its pathophysiology remains unclear but connective tissue disorders (CTD) and other vasculopathies have been observed in many SCAD patients. A genetic component for SCAD is increasingly appreciated, although few genes have been robustly implicated. We sought to clarify the genetic cause of SCAD using targeted and genome-wide methods in a cohort of sporadic cases to identify both common and rare disease-associated variants. Methods: A cohort of 91 unrelated sporadic SCAD cases was investigated for rare, deleterious variants in genes associated with either SCAD or CTD, while new candidate genes were sought using rare variant collapsing analysis and identification of novel loss-of-function variants in genes intolerant to such variation. Finally, 2 SCAD polygenic risk scores were applied to assess the contribution of common variants. Results: We identified 10 cases with at least one rare, likely disease-causing variant in CTD-associated genes, although only one had a CTD phenotype. No genes were significantly associated with SCAD from genome-wide collapsing analysis, however, enrichment for TGF (transforming growth factor)-β signaling pathway genes was found with analysis of 24 genes harboring novel loss-of-function variants. Both polygenic risk scores demonstrated that sporadic SCAD cases have a significantly elevated genetic SCAD risk compared with controls. Conclusions: SCAD shares some genetic overlap with CTD, even in the absence of any major CTD phenotype. Consistent with a complex genetic architecture, SCAD patients also have a higher burden of common variants than controls.",
keywords = "acute coronary syndrome, connective tissue, genetic predisposition to disease, genome, phenotype",
author = "Ingrid Tarr and Stephanie Hesselson and Iismaa, {Siiri E.} and Emma Rath and Steven Monger and Michael Troup and Ketan Mishra and Wong, {Claire M.Y.} and Hsu, {Pei Chen} and Keerat Junday and Humphreys, {David T.} and David Adlam and Webb, {Tom R.} and Baranowska-Clarke, {Anna A.} and Hamby, {Stephen E.} and Carss, {Keren J.} and Samani, {Nilesh J.} and Monique Bax and Lucy McGrath-Cadell and Kovacic, {Jason C.} and Dunwoodie, {Sally L.} and Diane Fatkin and Muller, {David W.M.} and Graham, {Robert M.} and Eleni Giannoulatou",
note = "Funding Information: This work was supported in part by grants from the Cardiac Society of Australia and New Zealand, the National Health and Medical Research Council (NHMRC), Australia (APP1161200), the St Vincent{\textquoteright}s Clinic Foundation, the Catholic Archdiocese of Sydney, Perpetual Philanthropy, NSW Health and SCAD Research Inc. E. Giannoulatou is supported by a NSW Health Early Mid-Career Fellowship, a NSW Health Early Mid-Career Cardiovascular Grant and a National Heart Foundation of Australia Future Leader Fellowship (101204). J.C. Kovacic acknowledges research support from the National Institutes of Health (NIH; R01HL130423, R01HL135093, and R01HL148167-01A1) and NSW Health (RG194194). S.L. Dunwoodie is supported by an NHMRC Principal Research Fellowship (ID1135886) and a NSW Health Cardiovascular Senior Scientist Grant. D. Fatkin is supported by NSW Health Cardiovascular Senior Scientist and Investigator Development Grants. The authors thank AstraZeneca{\textquoteright}s Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D for funding the sequencing of and providing the bioinformatics support related to subjects recruited at Leicester University (United Kingdom). Publisher Copyright: {\textcopyright} 2022 Lippincott Williams and Wilkins. All rights reserved.",
year = "2022",
month = aug,
doi = "10.1161/CIRCGEN.121.003527",
language = "English",
volume = "15",
pages = "267--277",
journal = "Circulation: Genomic and precision medicine",
issn = "2574-8300",
publisher = "Lippincott Williams & Wilkins",
number = "4",
}