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Filters: Keyword is Genotype and Author is O'Donnell, Christopher J [Clear All Filters]

2009

Psaty BM, O'Donnell CJ, Gudnason V, Lunetta KL, Folsom AR, Rotter JI, Uitterlinden AG, Harris TB, Witteman JCM, Boerwinkle E. Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts. Circ Cardiovasc Genet. 2009 ;2(1):73-80.

Vasan RS, Glazer NL, Felix JF, Lieb W, Wild PS, Felix SB, Watzinger N, Larson MG, Smith NL, Dehghan A, et al. Genetic variants associated with cardiac structure and function: a meta-analysis and replication of genome-wide association data. JAMA. 2009 ;302(2):168-78.

2010

Teslovich TM, Musunuru K, Smith AV, Edmondson AC, Stylianou IM, Koseki M, Pirruccello JP, Ripatti S, Chasman DI, Willer CJ, et al. Biological, clinical and population relevance of 95 loci for blood lipids. Nature. 2010 ;466(7307):707-13.

Morrison AC, Felix JF, Cupples AL, Glazer NL, Loehr LR, Dehghan A, Demissie S, Bis JC, Rosamond WD, Aulchenko YS, et al. Genomic variation associated with mortality among adults of European and African ancestry with heart failure: the cohorts for heart and aging research in genomic epidemiology consortium. Circ Cardiovasc Genet. 2010 ;3(3):248-55.

2011

Bis JC, Kavousi M, Franceschini N, Isaacs A, Abecasis GR, Schminke U, Post WS, Smith AV, Cupples AL, Markus HS, et al. Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque. Nat Genet. 2011 ;43(10):940-7.

2012

Murabito JM, White CC, Kavousi M, Sun YV, Feitosa MF, Nambi V, Lamina C, Schillert A, Coassin S, Bis JC, et al. Association between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies. Circ Cardiovasc Genet. 2012 ;5(1):100-12.

Huang J, Sabater-Lleal M, Asselbergs FW, Tregouet D, Shin S-Y, Ding J, Baumert J, Oudot-Mellakh T, Folkersen L, Johnson AD, et al. Genome-wide association study for circulating levels of PAI-1 provides novel insights into its regulation. Blood. 2012 ;120(24):4873-81.

2013

Grove ML, Yu B, Cochran BJ, Haritunians T, Bis JC, Taylor KD, Hansen M, Borecki IB, Cupples AL, Fornage M, et al. Best practices and joint calling of the HumanExome BeadChip: the CHARGE Consortium. PLoS One. 2013 ;8(7):e68095.

van Meurs JBJ, Paré G, Schwartz SM, Hazra A, Tanaka T, Vermeulen SH, Cotlarciuc I, Yuan X, Mälarstig A, Bandinelli S, et al. Common genetic loci influencing plasma homocysteine concentrations and their effect on risk of coronary artery disease. Am J Clin Nutr. 2013 ;98(3):668-76.

Jensen RA, Sim X, Li X, Cotch MFrances, M Ikram K, Holliday EG, Eiriksdottir G, Harris TB, Jonasson F, Klein BEK, et al. Genome-wide association study of retinopathy in individuals without diabetes. PLoS One. 2013 ;8(2):e54232.

Johnson AD, Hwang S-J, Voorman A, Morrison A, Peloso GM, Hsu Y-H, Thanassoulis G, Newton-Cheh C, Rogers IS, Hoffmann U, et al. Resequencing and clinical associations of the 9p21.3 region: a comprehensive investigation in the Framingham heart study. Circulation. 2013 ;127(7):799-810.

2014

Weng L-C, Tang W, Rich SS, Smith NL, Redline S, O'Donnell CJ, Basu S, Reiner AP, Delaney JA, Tracy RP, et al. A genetic association study of D-dimer levels with 50K SNPs from a candidate gene chip in four ethnic groups. Thromb Res. 2014 ;134(2):462-7.

Arking DE, Pulit SL, Crotti L, van der Harst P, Munroe PB, Koopmann TT, Sotoodehnia N, Rossin EJ, Morley M, Wang X, et al. Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization. Nat Genet. 2014 ;46(8):826-36.

Crosby J, Peloso GM, Auer PL, Crosslin DR, Stitziel NO, Lange LA, Lu Y, Tang Z-Z, Zhang H, Hindy G, et al. Loss-of-function mutations in APOC3, triglycerides, and coronary disease. N Engl J Med. 2014 ;371(1):22-31.

Ibrahim-Verbaas CA, Fornage M, Bis JC, Choi SHoan, Psaty BM, Meigs JB, Rao M, Nalls M, Fontes JD, O'Donnell CJ, et al. Predicting stroke through genetic risk functions: the CHARGE Risk Score Project. Stroke. 2014 ;45(2):403-12.

Keller MF, Reiner AP, Okada Y, van Rooij FJA, Johnson AD, Chen M-H, Smith AV, Morris AP, Tanaka T, Ferrucci L, et al. Trans-ethnic meta-analysis of white blood cell phenotypes. Hum Mol Genet. 2014 ;23(25):6944-60.

Lange LA, Hu Y, Zhang H, Xue C, Schmidt EM, Tang Z-Z, Bizon C, Lange EM, Smith JD, Turner EH, et al. Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol. Am J Hum Genet. 2014 ;94(2):233-45.

2015

Laugsand LE, Ix JH, Bartz TM, Djoussé L, Kizer JR, Tracy RP, Dehghan A, Rexrode K, Lopez OL, Rimm EB, et al. Fetuin-A and risk of coronary heart disease: A Mendelian randomization analysis and a pooled analysis of AHSG genetic variants in 7 prospective studies. Atherosclerosis. 2015 ;243(1):44-52.

2017

Sims R, van der Lee SJ, Naj AC, Bellenguez C, Badarinarayan N, Jakobsdottir J, Kunkle BW, Boland A, Raybould R, Bis JC, et al. Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease. Nat Genet. 2017 ;49(9):1373-1384.

2021

Goodrich JK, Singer-Berk M, Son R, Sveden A, Wood J, England E, Cole JB, Weisburd B, Watts N, Caulkins L, et al. Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes. Nat Commun. 2021 ;12(1):3505.