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Filters: Keyword is Polymorphism, Single Nucleotide and Author is Lumley, Thomas [Clear All Filters]

2014

London SJ, Gao W, Gharib SA, Hancock DB, Wilk JB, House JS, Gibbs RA, Muzny DM, Lumley T, Franceschini N, et al. ADAM19 and HTR4 variants and pulmonary function: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. Circ Cardiovasc Genet. 2014 ;7(3):350-8.

Bis JC, DeStefano A, Liu X, Brody JA, Choi SHoan, Verhaaren BFJ, Debette S, Ikram AM, Shahar E, Butler KR, et al. Associations of NINJ2 sequence variants with incident ischemic stroke in the Cohorts for Heart and Aging in Genomic Epidemiology (CHARGE) consortium. PLoS One. 2014 ;9(6):e99798.

Bihlmeyer NA, Brody JA, Smith AVernon, Lunetta KL, Nalls M, Smith JA, Tanaka T, Davies G, Yu L, Mirza SSaeed, et al. Genetic diversity is a predictor of mortality in humans. BMC Genet. 2014 ;15:159.

Loth DW, Artigas MSoler, Gharib SA, Wain LV, Franceschini N, Koch B, Pottinger TD, Smith AVernon, Duan Q, Oldmeadow C, et al. Genome-wide association analysis identifies six new loci associated with forced vital capacity. Nat Genet. 2014 ;46(7):669-77.

Postmus I, Trompet S, Deshmukh HA, Barnes MR, Li X, Warren HR, Chasman DI, Zhou K, Arsenault BJ, Donnelly LA, et al. Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins. Nat Commun. 2014 ;5:5068.

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.

Magnani JW, Brody JA, Prins BP, Arking DE, Lin H, Yin X, Liu C-T, Morrison AC, Zhang F, Spector TD, et al. Sequencing of SCN5A identifies rare and common variants associated with cardiac conduction: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Circ Cardiovasc Genet. 2014 ;7(3):365-73.

Lin H, Wang M, Brody JA, Bis JC, Dupuis J, Lumley T, McKnight B, Rice KM, Sitlani CM, Reid JG, et al. Strategies to design and analyze targeted sequencing data: cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. Circ Cardiovasc Genet. 2014 ;7(3):335-43.

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

Smith CE, Follis JL, Nettleton JA, Foy M, H Y Wu J, Ma Y, Tanaka T, Manichakul AW, Wu H, Chu AY, et al. Dietary fatty acids modulate associations between genetic variants and circulating fatty acids in plasma and erythrocyte membranes: Meta-analysis of nine studies in the CHARGE consortium. Mol Nutr Food Res. 2015 ;59(7):1373-83.

Bis JC, Sitlani C, Irvin R, Avery CL, Smith AVernon, Sun F, Evans DS, Musani SK, Li X, Trompet S, et al. Drug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE Consortium. PLoS One. 2015 ;10(10):e0140496.

2016

Dehghan A, Bis JC, White CC, Smith AVernon, Morrison AC, Cupples AL, Trompet S, Chasman DI, Lumley T, Völker U, et al. Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium. PLoS One. 2016 ;11(3):e0144997.

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