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A

Liu C-T, Estrada K, Yerges-Armstrong LM, Amin N, Evangelou E, Li G, Minster RL, Carless MA, Kammerer CM, Oei L, et al. Assessment of gene-by-sex interaction effect on bone mineral density. J Bone Miner Res. 2012 ;27(10):2051-64.

B

Burgess S, Thompson SG, Burgess S, Thompson SG, Andrews G, Samani NJ, Hall A, Whincup P, Morris R, Lawlor DA, et al. Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables. Stat Med. 2010 ;29(12):1298-311.

Kraja AT, Vaidya D, Pankow JS, Goodarzi MO, Assimes TL, Kullo IJ, Sovio U, Mathias RA, Sun YV, Franceschini N, et al. A bivariate genome-wide approach to metabolic syndrome: STAMPEED consortium. Diabetes. 2011 ;60(4):1329-39.

C

Wong TYin, Larsen EKMarino, Klein R, Mitchell P, Couper DJ, Klein BEK, Hubbard LD, Siscovick DS, A Sharrett R. Cardiovascular risk factors for retinal vein occlusion and arteriolar emboli: the Atherosclerosis Risk in Communities & Cardiovascular Health studies. Ophthalmology. 2005 ;112(4):540-7.

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.

Anon. Collaborative meta-analysis of prospective studies of plasma fibrinogen and cardiovascular disease. Eur J Cardiovasc Prev Rehabil. 2004 ;11(1):9-17.

Bots ML, Groenewegen KA, Anderson TJ, Britton AR, Dekker JM, Engström G, Evans GW, de Graaf J, Grobbee DE, Hedblad B, et al. Common carotid intima-media thickness measurements do not improve cardiovascular risk prediction in individuals with elevated blood pressure: the USE-IMT collaboration. Hypertension. 2014 ;63(6):1173-81.

Deo R, Nalls MA, Avery CL, Smith JG, Evans DS, Keller MF, Butler AM, Buxbaum SG, Li G, P Quibrera M, et al. Common genetic variation near the connexin-43 gene is associated with resting heart rate in African Americans: a genome-wide association study of 13,372 participants. Heart Rhythm. 2013 ;10(3):401-8.

Newton-Cheh C, Eijgelsheim M, Rice KM, de Bakker PIW, Yin X, Estrada K, Bis JC, Marciante K, Rivadeneira F, Noseworthy PA, et al. Common variants at ten loci influence QT interval duration in the QTGEN Study. Nat Genet. 2009 ;41(4):399-406.

Ellinor PT, Lunetta KL, Glazer NL, Pfeufer A, Alonso A, Chung MK, Sinner MF, de Bakker PIW, Mueller M, Lubitz SA, et al. Common variants in KCNN3 are associated with lone atrial fibrillation. Nat Genet. 2010 ;42(3):240-4.

Anon. Correcting for multivariate measurement error by regression calibration in meta-analyses of epidemiological studies. Stat Med. 2009 ;28(7):1067-92.

F

M Ikram K, Sim X, Xueling S, Jensen RA, Cotch MFrances, Hewitt AW, Ikram AM, Wang JJin, Klein R, Klein BEK, et al. Four novel Loci (19q13, 6q24, 12q24, and 5q14) influence the microcirculation in vivo. PLoS Genet. 2010 ;6(10):e1001184.

G

Sitlani CM, Rice KM, Lumley T, McKnight B, Cupples AL, Avery CL, Noordam R, Stricker BHC, Whitsel EA, Psaty BM. Generalized estimating equations for genome-wide association studies using longitudinal phenotype data. Stat Med. 2015 ;34(1):118-30.

Holliday EG, Traylor M, Malik R, Bevan S, Falcone G, Hopewell JC, Cheng Y-C, Cotlarciuc I, Bis JC, Boerwinkle E, et al. Genetic overlap between diagnostic subtypes of ischemic stroke. Stroke. 2015 ;46(3):615-9.

Levin GP, Robinson-Cohen C, de Boer IH, Houston DK, Lohman K, Liu Y, Kritchevsky SB, Cauley JA, Tanaka T, Ferrucci L, et al. Genetic variants and associations of 25-hydroxyvitamin D concentrations with major clinical outcomes. JAMA. 2012 ;308(18):1898-905.

Kilpeläinen TO, Zillikens CM, Stančáková A, Finucane FM, Ried JS, Langenberg C, Zhang W, Beckmann JS, Luan J'an, Vandenput L, et al. Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile. Nat Genet. 2011 ;43(8):753-60.

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.

McGovern DPB, Gardet A, Törkvist L, Goyette P, Essers J, Taylor KD, Neale BM, Ong RTH, Lagacé C, Li C, et al. Genome-wide association identifies multiple ulcerative colitis susceptibility loci. Nat Genet. 2010 ;42(4):332-7.

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.

Tang W, Teichert M, Chasman DI, Heit JA, Morange P-E, Li G, Pankratz N, Leebeek FW, Paré G, de Andrade M, et al. A genome-wide association study for venous thromboembolism: the extended cohorts for heart and aging research in genomic epidemiology (CHARGE) consortium. Genet Epidemiol. 2013 ;37(5):512-521.

Levy D, Ehret GB, Rice K, Verwoert GC, Launer LJ, Dehghan A, Glazer NL, Morrison AC, Johnson AD, Aspelund T, et al. Genome-wide association study of blood pressure and hypertension. Nat Genet. 2009 ;41(6):677-87.

Pfeufer A, van Noord C, Marciante KD, Arking DE, Larson MG, Smith AVernon, Tarasov KV, Müller M, Sotoodehnia N, Sinner MF, et al. Genome-wide association study of PR interval. Nat Genet. 2010 ;42(2):153-9.

Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nat Genet. 2013 ;45(5):501-12.

L

Ellis J, Lange EM, Li J, Dupuis J, Baumert J, Walston JD, Keating BJ, Durda P, Fox ER, Palmer CD, et al. Large multiethnic Candidate Gene Study for C-reactive protein levels: identification of a novel association at CD36 in African Americans. Hum Genet. 2014 ;133(8):985-95.

Tin A, Li Y, Brody JA, Nutile T, Chu AY, Huffman JE, Yang Q, Chen M-H, Robinson-Cohen C, Mace A, et al. Large-scale whole-exome sequencing association studies identify rare functional variants influencing serum urate levels. Nat Commun. 2018 ;9(1):4228.

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