Ontology highlight
ABSTRACT:
SUBMITTER: Wojczynski MK
PROVIDER: S-EPMC3733595 | biostudies-literature | 2013 Jul
REPOSITORIES: biostudies-literature
Wojczynski Mary K MK Li Mingyao M Bielak Lawrence F LF Kerr Kathleen F KF Reiner Alex P AP Wong Nathan D ND Yanek Lisa R LR Qu Liming L White Charles C CC Lange Leslie A LA Ferguson Jane F JF He Jing J Young Taylor T Mosley Thomas H TH Smith Jennifer A JA Kral Brian G BG Guo Xiuqing X Wong Quenna Q Ganesh Santhi K SK Heckbert Susan R SR Griswold Michael E ME O'Leary Daniel H DH Budoff Matthew M Carr J Jeffrey JJ Taylor Herman A HA Bluemke David A DA Demissie Serkalem S Hwang Shih-Jen SJ Paltoo Dina N DN Polak Joseph F JF Psaty Bruce M BM Becker Diane M DM Province Michael A MA Post Wendy S WS O'Donnell Christopher J CJ Wilson James G JG Harris Tamara B TB Kavousi Maryam M Cupples L Adrienne LA Rotter Jerome I JI Fornage Myriam M Becker Lewis C LC Peyser Patricia A PA Borecki Ingrid B IB Reilly Muredach P MP
BMC medical genetics 20130719
<h4>Background</h4>Coronary heart disease (CHD) is the major cause of death in the United States. Coronary artery calcification (CAC) scores are independent predictors of CHD. African Americans (AA) have higher rates of CHD but are less well-studied in genomic studies. We assembled the largest AA data resource currently available with measured CAC to identify associated genetic variants.<h4>Methods</h4>We analyzed log transformed CAC quantity (ln(CAC + 1)), for association with ~2.5 million sing ...[more]