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A
Arnold AM, Newman AB, Dermond N, Haan M, Fitzpatrick A. Using telephone and informant assessments to estimate missing Modified Mini-Mental State Exam scores and rates of cognitive decline. The cardiovascular health study. Neuroepidemiology. 2009 ;33(1):55-65.
Arnold AM, Kronmal RA. Multiple imputation of baseline data in the cardiovascular health study. Am J Epidemiol. 2003 ;157(1):74-84.
Arnold AM, Newman AB, Cushman M, Ding J, Kritchevsky S. Body weight dynamics and their association with physical function and mortality in older adults: the Cardiovascular Health Study. J Gerontol A Biol Sci Med Sci. 2010 ;65(1):63-70.
Artigas MSoler, Loth DW, Wain LV, Gharib SA, Obeidat M'en, Tang W, Zhai G, Zhao JH, Smith AVernon, Huffman JE, et al. Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function. Nat Genet. 2011 ;43(11):1082-90.
Ashar FN, Mitchell RN, Albert CM, Newton-Cheh C, Brody JA, Müller-Nurasyid M, Moes A, Meitinger T, Mak A, Huikuri H, et al. A comprehensive evaluation of the genetic architecture of sudden cardiac arrest. Eur Heart J. 2018 .
Ashar FN, Zhang Y, Longchamps RJ, Lane J, Moes A, Grove ML, Mychaleckyj JC, Taylor KD, Coresh J, Rotter JI, et al. Association of Mitochondrial DNA Copy Number With Cardiovascular Disease. JAMA Cardiol. 2017 ;2(11):1247-1255.
Ashar FN, Moes A, Moore AZ, Grove ML, Chaves PHM, Coresh J, Newman AB, Matteini AM, Bandeen-Roche K, Boerwinkle E, et al. Association of mitochondrial DNA levels with frailty and all-cause mortality. J Mol Med (Berl). 2015 ;93(2):177-186.
Asselbergs FW, Mozaffarian D, Katz R, Kestenbaum B, Fried LF, Gottdiener JS, Shlipak MG, Siscovick DS. Association of renal function with cardiac calcifications in older adults: the cardiovascular health study. Nephrol Dial Transplant. 2009 ;24(3):834-40.
Asvold BO, Vatten LJ, Bjøro T, Bauer DC, Bremner A, Cappola AR, Ceresini G, Elzen WPJ den, Ferrucci L, Franco OH, et al. Thyroid function within the normal range and risk of coronary heart disease: an individual participant data analysis of 14 cohorts. JAMA Intern Med. 2015 ;175(6):1037-47.
Auer PL, Nalls M, Meschia JF, Worrall BB, Longstreth WT, Seshadri S, Kooperberg C, Burger KM, Carlson CS, Carty CL, et al. Rare and Coding Region Genetic Variants Associated With Risk of Ischemic Stroke: The NHLBI Exome Sequence Project. JAMA Neurol. 2015 ;72(7):781-8.
Aurigemma GP, Gottdiener JS, Shemanski L, Gardin J, Kitzman D. Predictive value of systolic and diastolic function for incident congestive heart failure in the elderly: the cardiovascular health study. J Am Coll Cardiol. 2001 ;37(4):1042-8.
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.
R Aurora N, Crainiceanu C, Caffo B, Punjabi NM. Sleep-disordered breathing and caffeine consumption: results of a community-based study. Chest. 2012 ;142(3):631-638.
Austin TR, Wiggins KL, Blackshear C, Yang Y, Benjamin EJ, Curtis LH, Sotoodehnia N, Correa A, Heckbert SR. Atrial fibrillation in an African-American cohort: The Jackson Heart Study. Clin Cardiol. 2018 .
Austin TR, McHugh CP, Brody JA, Bis JC, Sitlani CM, Bartz TM, Biggs ML, Bansal N, Bůzková P, Carr SA, et al. Proteomics and Population Biology in the Cardiovascular Health Study (CHS): design of a study with mentored access and active data sharing. Eur J Epidemiol. 2022 .
Austin TR, Nethander M, Fink HA, Törnqvist AE, Jalal DI, Bůzková P, Barzilay JI, Carbone L, Gabrielsen ME, Grahnemo L, et al. A plasma protein-based risk score to predict hip fractures. Nat Aging. 2024 .
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 .
Avery CL, Sethupathy P, Buyske S, He Q, Lin D-Y, Arking DE, Carty CL, Duggan D, Fesinmeyer MD, Hindorff LA, et al. Fine-mapping and initial characterization of QT interval loci in African Americans. PLoS Genet. 2012 ;8(8):e1002870.
Avery CL, Wassel CL, Richard MA, Highland HM, Bien S, Zubair N, Soliman EZ, Fornage M, Bielinski SJ, Tao R, et al. Fine mapping of QT interval regions in global populations refines previously identified QT interval loci and identifies signals unique to African and Hispanic descent populations. Heart Rhythm. 2017 ;14(4):572-580.
Avery CL, Sitlani CM, Arking DE, Arnett DK, Bis JC, Boerwinkle E, Buckley BM, Chen Y-DIda, de Craen AJM, Eijgelsheim M, et al. Drug-gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT interval. Pharmacogenomics J. 2014 ;14(1):6-13.
Avery CL, He Q, North KE, Ambite JL, Boerwinkle E, Fornage M, Hindorff LA, Kooperberg C, Meigs JB, Pankow JS, et al. A phenomics-based strategy identifies loci on APOC1, BRAP, and PLCG1 associated with metabolic syndrome phenotype domains. PLoS Genet. 2011 ;7(10):e1002322.
Aviles RJ, Martin DO, Apperson-Hansen C, Houghtaling PL, Rautaharju P, Kronmal RA, Tracy RP, Van Wagoner DR, Psaty BM, Lauer MS, et al. Inflammation as a risk factor for atrial fibrillation. Circulation. 2003 ;108(24):3006-10.

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