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2014

Tang W, Kowgier M, Loth DW, Artigas MSoler, Joubert BR, Hodge E, Gharib SA, Smith AV, Ruczinski I, Gudnason V, et al. Large-scale genome-wide association studies and meta-analyses of longitudinal change in adult lung function. PLoS One. 2014 ;9(7):e100776.

C Y Ng M, Shriner D, Chen BH, Li J, Chen W-M, Guo X, Liu J, Bielinski SJ, Yanek LR, Nalls MA, et al. Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes. PLoS Genet. 2014 ;10(8):e1004517.

Lubitz SA, Lunetta KL, Lin H, Arking DE, Trompet S, Li G, Krijthe BP, Chasman DI, Barnard J, Kleber ME, et al. Novel genetic markers associate with atrial fibrillation risk in Europeans and Japanese. J Am Coll Cardiol. 2014 ;63(12):1200-10.

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.

Gordon AS, Tabor HK, Johnson AD, Snively BM, Assimes TL, Auer PL, Ioannidis JPA, Peters U, Robinson JG, Sucheston LE, et al. Quantifying rare, deleterious variation in 12 human cytochrome P450 drug-metabolism genes in a large-scale exome dataset. Hum Mol Genet. 2014 ;23(8):1957-63.

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, Sinner MF, Brody JA, Arking DE, Lunetta KL, Rienstra M, Lubitz SA, Magnani JW, Sotoodehnia N, McKnight B, et al. Targeted sequencing in candidate genes for atrial fibrillation: the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Targeted Sequencing Study. Heart Rhythm. 2014 ;11(3):452-7.

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.

2013

Yu B, Barbalic M, Brautbar A, Nambi V, Hoogeveen RC, Tang W, Mosley TH, Rotter JI, deFilippi CR, O'Donnell CJ, et al. Association of genome-wide variation with highly sensitive cardiac troponin-T levels in European Americans and Blacks: a meta-analysis from atherosclerosis risk in communities and cardiovascular health studies. Circ Cardiovasc Genet. 2013 ;6(1):82-8.

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.

Do R, Willer CJ, Schmidt EM, Sengupta S, Gao C, Peloso GM, Gustafsson S, Kanoni S, Ganna A, Chen J, et al. Common variants associated with plasma triglycerides and risk for coronary artery disease. Nat Genet. 2013 ;45(11):1345-52.

Willer CJ, Schmidt EM, Sengupta S, Peloso GM, Gustafsson S, Kanoni S, Ganna A, Chen J, Buchkovich ML, Mora S, et al. Discovery and refinement of loci associated with lipid levels. Nat Genet. 2013 ;45(11):1274-1283.

Li X, Bykhovskaya Y, Canedo ALaura Caia, Haritunians T, Siscovick D, Aldave AJ, Szczotka-Flynn L, Iyengar SK, Rotter JI, Taylor KD, et al. Genetic association of COL5A1 variants in keratoconus patients suggests a complex connection between corneal thinning and keratoconus. Invest Ophthalmol Vis Sci. 2013 ;54(4):2696-704.

Sim X, Jensen RA, M Ikram K, Cotch MFrances, Li X, Macgregor S, Xie J, Smith AVernon, Boerwinkle E, Mitchell P, et al. Genetic loci for retinal arteriolar microcirculation. PLoS One. 2013 ;8(6):e65804.

Reiner AP, Hartiala J, Zeller T, Bis JC, Dupuis J, Fornage M, Baumert J, Kleber ME, Wild PS, Baldus S, et al. Genome-wide and gene-centric analyses of circulating myeloperoxidase levels in the charge and care consortia. Hum Mol Genet. 2013 ;22(16):3381-93.

Köttgen A, Albrecht E, Teumer A, Vitart V, Krumsiek J, Hundertmark C, Pistis G, Ruggiero D, O'Seaghdha CM, Haller T, et al. Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. Nat Genet. 2013 ;45(2):145-54.

Liu C-T, Monda KL, Taylor KC, Lange L, Demerath EW, Palmas W, Wojczynski MK, Ellis JC, Vitolins MZ, Liu S, et al. Genome-wide association of body fat distribution in African ancestry populations suggests new loci. PLoS Genet. 2013 ;9(8):e1003681.

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.

Hek K, Demirkan A, Lahti J, Terracciano A, Teumer A, Cornelis MC, Amin N, Bakshis E, Baumert J, Ding J, et al. A genome-wide association study of depressive symptoms. Biol Psychiatry. 2013 ;73(7):667-78.

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.

Tanaka T, Ngwa JS, van Rooij FJA, Zillikens CM, Wojczynski MK, Frazier-Wood AC, Houston DK, Kanoni S, Lemaitre RN, Luan J'an, et al. Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake. Am J Clin Nutr. 2013 ;97(6):1395-402.

Hruby A, Ngwa JS, Renstrom F, Wojczynski MK, Ganna A, Hallmans G, Houston DK, Jacques PF, Kanoni S, Lehtimäki T, et al. Higher magnesium intake is associated with lower fasting glucose and insulin, with no evidence of interaction with select genetic loci, in a meta-analysis of 15 CHARGE Consortium Studies. J Nutr. 2013 ;143(3):345-53.

Hoed Mden, Eijgelsheim M, Esko T, Brundel BJJM, Peal DS, Evans DM, Nolte IM, Segrè AV, Holm H, Handsaker RE, et al. Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders. Nat Genet. 2013 ;45(6):621-31.

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