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Author Title [ Type(Asc)] Year
Journal Article
Gardin JM, Arnold A, Gottdiener JS, Wong ND, Fried LP, Klopfenstein HS, O'Leary DH, Tracy R, Kronmal R. Left ventricular mass in the elderly. The Cardiovascular Health Study. Hypertension. 1997 ;29(5):1095-103.
deFilippi CR, Christenson RH, Kop WJ, Gottdiener JS, Zhan M, Seliger SL. Left ventricular ejection fraction assessment in older adults: an adjunct to natriuretic peptide testing to identify risk of new-onset heart failure and cardiovascular death?. J Am Coll Cardiol. 2011 ;58(14):1497-506.
Gardin JM, Arnold AM, Bild DE, Smith VE, Lima JA, Klopfenstein HS, Kitzman DW. Left ventricular diastolic filling in the elderly: the cardiovascular health study. Am J Cardiol. 1998 ;82(3):345-51.
Gottdiener JS, Kitzman DW, Aurigemma GP, Arnold AM, Manolio TA. Left atrial volume, geometry, and function in systolic and diastolic heart failure of persons > or =65 years of age (the cardiovascular health study). Am J Cardiol. 2006 ;97(1):83-9.
Aurigemma GP, Gottdiener JS, Arnold AM, Chinali M, Hill JC, Kitzman D. Left atrial volume and geometry in healthy aging: the Cardiovascular Health Study. Circ Cardiovasc Imaging. 2009 ;2(4):282-9.
Manolio TA, Gottdiener JS, Tsang TSM, Gardin JM. Left atrial dimensions determined by M-mode echocardiography in black and white older (> or =65 years) adults (The Cardiovascular Health Study). Am J Cardiol. 2002 ;90(9):983-7.
Yaghi S, Bartz TM, Kronmal R, Kamel H, Gottdiener J, Longstreth WT, Elkind MSV. Left atrial diameter and vascular brain injury on MRI: The Cardiovascular Health Study. Neurology. 2018 .
Liu F, Austin TR, Schrack JA, Chen J, Walston J, Mathias RA, Grams M, Odden MC, Newman A, Psaty BM, et al. Late-life plasma proteins associated with prevalent and incident frailty: A proteomic analysis. Aging Cell. 2023 .
Armstrong NM, Carlson MC, Schrack J, Xue Q-L, Carnethon MR, Rosano C, Chaves PHM, Gross AL. Late-Life Depressive Symptoms as Partial Mediators in the Associations between Subclinical Cardiovascular Disease with Onset of Mild Cognitive Impairment and Dementia. Am J Geriatr Psychiatry. 2017 .
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.
Shelbaya K, Arthur V, Yang Y, Dorbala P, Buckley L, Claggett B, Skali H, Dufresne L, Yang T-Y, Engert JC, et al. Large-Scale Proteomics Identifies Novel Biomarkers and Circulating Risk Factors for Aortic Stenosis. J Am Coll Cardiol. 2024 ;83(5):577-591.
Floyd JS, Sitlani CM, Avery CL, Noordam R, Li X, Smith AV, Gogarten SM, Li J, Broer L, Evans DS, et al. Large-scale pharmacogenomic study of sulfonylureas and the QT, JT and QRS intervals: CHARGE Pharmacogenomics Working Group. Pharmacogenomics J. 2016 .
Sung YJ, Winkler TW, Fuentes Lde Las, Bentley AR, Brown MR, Kraja AT, Schwander K, Ntalla I, Guo X, Franceschini N, et al. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. Am J Hum Genet. 2018 ;102(3):375-400.
Nalls MA, Pankratz N, Lill CM, Do CB, Hernandez DG, Saad M, DeStefano AL, Kara E, Bras J, Sharma M, et al. Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson's disease. Nat Genet. 2014 ;46(9):989-93.
Puhan MA, Hansel NN, Sobradillo P, Enright P, Lange P, Hickson D, Menezes AM, Riet Gter, Held U, Domingo-Salvany A, et al. Large-scale international validation of the ADO index in subjects with COPD: an individual subject data analysis of 10 cohorts. BMJ Open. 2012 ;2(6).
Willems SM, Wright DJ, Day FR, Trajanoska K, Joshi PK, Morris JA, Matteini AM, Garton FC, Grarup N, Oskolkov N, et al. Large-scale GWAS identifies multiple loci for hand grip strength providing biological insights into muscular fitness. Nat Commun. 2017 ;8:16015.
Barbalic M, Dupuis J, Dehghan A, Bis JC, Hoogeveen RC, Schnabel RB, Nambi V, Bretler M, Smith NL, Peters A, et al. Large-scale genomic studies reveal central role of ABO in sP-selectin and sICAM-1 levels. Hum Mol Genet. 2010 ;19(9):1863-72.
Nagarajan P, Winkler TW, Bentley AR, Miller CL, Kraja AT, Schwander K, Lee S, Wang W, Brown MR, Morrison JL, et al. A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. medRxiv. 2024 .
Tcheandjieu C, Zhu X, Hilliard AT, Clarke SL, Napolioni V, Ma S, Lee KMin, Fang H, Chen F, Lu Y, et al. Large-scale genome-wide association study of coronary artery disease in genetically diverse populations. Nat Med. 2022 ;28(8):1679-1692.
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.
Wild PS, Felix JF, Schillert A, Teumer A, Chen M-H, Leening MJG, Völker U, Großmann V, Brody JA, Irvin MR, et al. Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function. J Clin Invest. 2017 ;127(5):1798-1812.
Tajuddin SM, Schick UM, Eicher JD, Chami N, Giri A, Brody JA, W Hill D, Kacprowski T, Li J, Lyytikäinen L-P, et al. Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases. Am J Hum Genet. 2016 ;99(1):22-39.
Lindström S, Brody JA, Turman C, Germain M, Bartz TM, Smith EN, Chen M-H, Puurunen M, Chasman D, Hassler J, et al. A large-scale exome array analysis of venous thromboembolism. Genet Epidemiol. 2019 .
Lam M, Trampush JW, Yu J, Knowles E, Davies G, Liewald DC, Starr JM, Djurovic S, Melle I, Sundet K, et al. Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets. Cell Rep. 2017 ;21(9):2597-2613.
Austin TR, Fink HA, Jalal DI, Törnqvist AE, Bůzková P, Barzilay JI, Lu T, Carbone L, Gabrielsen ME, Grahnemo L, et al. Large-scale circulating proteome association study (CPAS) meta-analysis identifies circulating proteins and pathways predicting incident hip fractures. J Bone Miner Res. 2024 .

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