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Journal Article

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.

Huang J, Huffman JE, Yamakuchi M, Yamkauchi M, Trompet S, Asselbergs FW, Sabater-Lleal M, Trégouët D-A, Chen W-M, Smith NL, et al. Genome-wide association study for circulating tissue plasminogen activator levels and functional follow-up implicates endothelial STXBP5 and STX2. Arterioscler Thromb Vasc Biol. 2014 ;34(5):1093-101.

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.

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.

Wain LV, Verwoert GC, O'Reilly PF, Shi G, Johnson T, Johnson AD, Bochud M, Rice KM, Henneman P, Smith AV, et al. Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure. Nat Genet. 2011 ;43(10):1005-11.

Walter S, Atzmon G, Demerath EW, Garcia ME, Kaplan RC, Kumari M, Lunetta KL, Milaneschi Y, Tanaka T, Tranah GJ, et al. A genome-wide association study of aging. Neurobiol Aging. 2011 ;32(11):2109.e15-28.

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.

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.

Perry JRB, Corre T, Esko T, Chasman DI, Fischer K, Franceschini N, He C, Kutalik Z, Mangino M, Rose LM, et al. A genome-wide association study of early menopause and the combined impact of identified variants. Hum Mol Genet. 2013 ;22(7):1465-72.

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.

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.

Sabater-Lleal M, Huffman JE, de Vries PS, Marten J, Mastrangelo MA, Song C, Pankratz N, Ward-Caviness CK, Yanek LR, Trompet S, et al. Genome-Wide Association Trans-Ethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels. Circulation. 2018 .

Noordam R, Sitlani CM, Avery CL, Stewart JD, Gogarten SM, Wiggins KL, Trompet S, Warren HR, Sun F, Evans DS, et al. A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. J Med Genet. 2017 ;54(5):313-323.

Smith CE, Follis JL, Dashti HS, Tanaka T, Graff M, Fretts AM, Kilpeläinen TO, Wojczynski MK, Richardson K, Nalls MA, et al. Genome-Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent. Mol Nutr Food Res. 2017 .

Hancock DB, Artigas MSoler, Gharib SA, Henry A, Manichaikul A, Ramasamy A, Loth DW, Imboden M, Koch B, McArdle WL, et al. Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function. PLoS Genet. 2012 ;8(12):e1003098.

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.

Estrada K, Styrkarsdottir U, Evangelou E, Hsu Y-H, Duncan EL, Ntzani EE, Oei L, Albagha OME, Amin N, Kemp JP, et al. Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture. Nat Genet. 2012 ;44(5):491-501.

Teumer A, Qi Q, Nethander M, Aschard H, Bandinelli S, Beekman M, Berndt SI, Bidlingmaier M, Broer L, Cappola A, et al. Genomewide meta-analysis identifies loci associated with IGF-I and IGFBP-3 levels with impact on age-related traits. Aging Cell. 2016 ;15(5):811-24.

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.

Debette S, Verbaas CAIbrahim, Bressler J, Schuur M, Smith A, Bis JC, Davies G, Wolf C, Gudnason V, Chibnik LB, et al. Genome-wide studies of verbal declarative memory in nondemented older people: the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium. Biol Psychiatry. 2015 ;77(8):749-63.

van Rooij FJA, Qayyum R, Smith AV, Zhou Y, Trompet S, Tanaka T, Keller MF, Chang L-C, Schmidt H, Yang M-L, et al. Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis. Am J Hum Genet. 2017 ;100(1):51-63.

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.

Matteini AM, Tanaka T, Karasik D, Atzmon G, Chou W-C, Eicher JD, Johnson AD, Arnold AM, Callisaya ML, Davies G, et al. GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. Aging Cell. 2016 ;15(5):792-800.

Franceschini N, Giambartolomei C, de Vries PS, Finan C, Bis JC, Huntley RP, Lovering RC, Tajuddin SM, Winkler TW, Graff M, et al. GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes. Nat Commun. 2018 ;9(1):5141.

Broer L, Buchman AS, Deelen J, Evans DS, Faul JD, Lunetta KL, Sebastiani P, Smith JA, Smith AV, Tanaka T, et al. GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy. J Gerontol A Biol Sci Med Sci. 2015 ;70(1):110-8.

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