Krishna G. Aragam

Aug 15, 2024 | digitalcommons.library.tmc.edu | Krishna G. Aragam |Tao Jiang |Anuj Goel |Stavroula Kanoni

The discovery of genetic loci associated with complex diseases has outpaced the elucidation of mechanisms of disease pathogenesis. Here we conducted a genome-wide association study (GWAS) for coronary artery disease (CAD) comprising 181,522 cases among 1,165,690 participants of predominantly European ancestry. We detected 241 associations, including 30 new loci. Cross-ancestry meta-analysis with a Japanese GWAS yielded 38 additional new loci.

Dec 1, 2023 | jacc.org | Ezimamaka Ajufo |Krishna G. Aragam

IntroductionIdentifying individuals at high risk for coronary artery disease (CAD) remains a public health priority; however, current clinical risk prediction tools often fall short. Polygenic scores—a byproduct of the Human Genome Project and corresponding advancements in the efficient analysis of large genomic data—are quantitative factors that capture an individual’s inherited predisposition to a particular trait.

May 29, 2023 | nature.com | David Adlam |Takiy-Eddine Berrandou |Adrien Georges |Christopher Nelson |Chris Finan |Siiri E. Iismaa | +21 more

AbstractSpontaneous coronary artery dissection (SCAD) is an understudied cause of myocardial infarction primarily affecting women. It is not known to what extent SCAD is genetically distinct from other cardiovascular diseases, including atherosclerotic coronary artery disease (CAD). Here we present a genome-wide association meta-analysis (1,917 cases and 9,292 controls) identifying 16 risk loci for SCAD.