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LeBlanc, M.* ; Zuber, V.* ; Andreassen, B.K.* ; Witoelar, A.W.* ; Zeng, L.* ; Bettella, F.* ; Wang, Y.* ; McEvoy, L.K.* ; Thompson, W.K.* ; Schork, A.J.* ; Reppe, S.* ; Barrett-Connor, E.* ; Ligthart, S.* ; Dehghan, A.* ; Gautvik, K.M.* ; Nelson, C.P.* ; Schunkert, H.* ; Samani, N.J.* ; CARDIoGRAM Consortium (Döring, A. ; Klopp, N.) ; Ridker, P.M.* ; Chasman, D.I.* ; Aukrust, P.* ; Djurovic, S.* ; Frigessi, A.* ; Desikan, R.S.* ; Dale, A.M.* ; Andreassen, O.A.*

Identifying novel gene variants in coronary artery disease and shared genes with several cardiovascular risk factors.

Circ. Res. 118, 83-94 (2016)

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Rationale: Coronary artery disease (CAD) is a critical determinant of morbidity and mortality. Previous studies have identified several cardiovascular disease risk factors, which may partly arise from a shared genetic basis with CAD, and thus be useful for discovery of CAD genes. Objective: We aimed to improve discovery of CAD genes and inform the pathogenic relationship between CAD and several cardiovascular disease risk factors using a shared polygenic signal-informed statistical framework. Methods and Results: Using genome-wide association studies summary statistics and shared polygenic pleiotropy-informed conditional and conjunctional false discovery rate methodology, we systematically investigated genetic overlap between CAD and 8 traits related to cardiovascular disease risk factors: low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, type 2 diabetes mellitus, C-reactive protein, body mass index, systolic blood pressure, and type 1 diabetes mellitus. We found significant enrichment of single-nucleotide polymorphisms associated with CAD as a function of their association with low-density lipoprotein, high-density lipoprotein, triglycerides, type 2 diabetes mellitus, C-reactive protein, body mass index, systolic blood pressure, and type 1 diabetes mellitus. Applying the conditional false discovery rate method to the enriched phenotypes, we identified 67 novel loci associated with CAD (overall conditional false discovery rate <0.01). Furthermore, we identified 53 loci with significant effects in both CAD and at least 1 of low-density lipoprotein, high-density lipoprotein, triglycerides, type 2 diabetes mellitus, C-reactive protein, systolic blood pressure, and type 1 diabetes mellitus. Conclusions: The observed polygenic overlap between CAD and cardiometabolic risk factors indicates a pathogenic relation that warrants further investigation. The new gene loci identified implicate novel genetic mechanisms related to CAD.

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