Myocardial infarction (MI) is the leading cause of death in the United States and is heritable. Large studies focusing on common genetic variation have now identified over 30 loci associated with risk for MI. Despite this success, these common variants explain only a small proportion of the genetic basis of MI. Population genetics and candidate gene studies support the hypothesis that less common genetic variation plays a significant role in complex disorders such as MI. In this proposal, we outline several methods to explore the role of rare genetic variation in risk for MI. Using a set of rare (minor allele frequecy <5%) coding variants identified through whole exome sequencing (i.e. all protein coding regions of the genome), we will test the hypotheses that rare variants contribute to MI risk both individually and collectively and further that this knowledge can improve population-based risk stratification. To test these hypotheses, we propose the following specific aims:
in Aim 1, we will genotype exome variants in a well-powered case/control study to identify rare variants that individually contribute to risk of MI;
in Aim 2, we will develop novel computational methods for rare variant analysis to identify rare variants collectively associated with MI;and in Aim 3, we will develop a rare variant method for population-based MI risk stratification. In addition to elucidating the role of rare coding variation in risk for MI, this five-year proposal outlines a comprehensive strategy for the principal investigator's career development in academic cardiovascular medicine. This strategy logically builds on the principal investigator's previous research experience and clinical training. After obtaining a Ph.D. in Bioinformatics, the principal investigator completed residency training in Internal Medicine and is currently finishing fellowship training in Cardiovascular Disease. This proposal now focuses on expanding his scientific skills by attaining additional knowledge and practical research experience in human genetics and genomics, statistical genetics, and risk modeling. The career development goals will be achieved through a multi-faceted approach involving mentoring by Dr. Sekar Kathiresan (human genetics and genomics) and Dr. Shamil Sunyaev (statistical genetics, risk modeling), didactic coursework, scientific investigation, and training in scientific communication and research ethics. This work will take place in a unique training environment comprised of complementary experiences at Massachusetts General Hospital, Brigham and Women's Hospital, and the Broad Institute. Successful completion of this career development award will result in a better understanding of the genetic basis for MI, result in the principal investigator'transition to an independent physician-scientist, and provide a solid foundation from which he will apply for RO1-level funding.
Heart attack is the leading cause of death in the United States and although it is heritable, its genetic basis is incompletely characterized. This proposal outlines several methods aimed at understanding the role of rare genetic variation in risk for heart attack. Success has the potential to identify new mechanisms of disease and novel strategies for prevention.
|Myocardial Infarction Genetics Consortium Investigators; Stitziel, Nathan O; Won, Hong-Hee et al. (2014) Inactivating mutations in NPC1L1 and protection from coronary heart disease. N Engl J Med 371:2072-82|
|TG and HDL Working Group of the Exome Sequencing Project, National Heart, Lung, and Blood Institute; Crosby, Jacy; Peloso, Gina M et al. (2014) Loss-of-function mutations in APOC3, triglycerides, and coronary disease. N Engl J Med 371:22-31|
|Peloso, Gina M; Auer, Paul L; Bis, Joshua C et al. (2014) Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks. Am J Hum Genet 94:223-32|
|Minicocci, Ilenia; Santini, Sara; Cantisani, Vito et al. (2013) Clinical characteristics and plasma lipids in subjects with familial combined hypolipidemia: a pooled analysis. J Lipid Res 54:3481-90|
|Stitziel, Nathan O; Fouchier, Sigrid W; Sjouke, Barbara et al. (2013) Exome sequencing and directed clinical phenotyping diagnose cholesterol ester storage disease presenting as autosomal recessive hypercholesterolemia. Arterioscler Thromb Vasc Biol 33:2909-14|