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E
Bihlmeyer NA, Brody JA, Smith AVernon, Warren HR, Lin H, Isaacs A, Liu C-T, Marten J, Radmanesh F, Hall LM, et al. ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals. Circ Genom Precis Med. 2018 ;11(1):e001758.
Prins BP, Mead TJ, Brody JA, Sveinbjornsson G, Ntalla I, Bihlmeyer NA, van den Berg M, Bork-Jensen J, Cappellani S, Van Duijvenboden S, et al. Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. Genome Biol. 2018 ;19(1):87.
Jian X, Satizabal CL, Smith AV, Wittfeld K, Bis JC, Smith JA, Hsu F-C, Nho K, Hofer E, Hagenaars SP, et al. Exome Chip Analysis Identifies Low-Frequency and Rare Variants in for White Matter Hyperintensities on Brain Magnetic Resonance Imaging. Stroke. 2018 .
Seyerle AA, Young AM, Jeff JM, Melton PE, Jorgensen NW, Lin Y, Carty CL, Deelman E, Heckbert SR, Hindorff LA, et al. Evidence of heterogeneity by race/ethnicity in genetic determinants of QT interval. Epidemiology. 2014 ;25(6):790-8.
Marcus GM, Alonso A, Peralta CA, Lettre G, Vittinghoff E, Lubitz SA, Fox ER, Levitzky YS, Mehra R, Kerr KF, et al. European ancestry as a risk factor for atrial fibrillation in African Americans. Circulation. 2010 ;122(20):2009-15.
Mack TM, Raddatz MA, Pershad Y, Nachun DC, Taylor KD, Guo X, Shuldiner AR, O'Connell JR, Kenny EE, Loos RJF, et al. Epigenetic and proteomic signatures associate with clonal hematopoiesis expansion rate. Nat Aging. 2024 .
Roberts JD, Vittinghoff E, Lu AT, Alonso A, Wang B, Sitlani CM, Mohammadi-Shemirani P, Fornage M, Kornej J, Brody JA, et al. Epigenetic Age and the Risk of Incident Atrial Fibrillation. Circulation. 2021 ;144(24):1899-1911.
Halford JL, Morrill VN, Choi SHoan, Jurgens SJ, Melloni G, Marston NA, Weng L-C, Nauffal V, Hall AW, Gunn S, et al. Endophenotype effect sizes support variant pathogenicity in monogenic disease susceptibility genes. Nat Commun. 2022 ;13(1):5106.
Nguyen KT, Vittinghoff E, Dewland TA, Mandyam MC, Stein PK, Soliman EZ, Heckbert SR, Marcus GM. Electrocardiographic Predictors of Incident Atrial Fibrillation. Am J Cardiol. 2016 ;118(5):714-9.
Bansal N, Zelnick LR, Alonso A, Benjamin EJ, de Boer IH, Deo R, Katz R, Kestenbaum B, Mathew J, Robinson-Cohen C, et al. eGFR and Albuminuria in Relation to Risk of Incident Atrial Fibrillation: A Meta-Analysis of the Jackson Heart Study, the Multi-Ethnic Study of Atherosclerosis, and the Cardiovascular Health Study. Clin J Am Soc Nephrol. 2017 ;12(9):1386-1398.
Locke E, Thielke S, Diehr P, Wilsdon AG, R Barr G, Hansel N, Kapur VK, Krishnan J, Enright P, Heckbert SR, et al. Effects of respiratory and non-respiratory factors on disability among older adults with airway obstruction: the Cardiovascular Health Study. COPD. 2013 ;10(5):588-96.
Nguyen KT, Vittinghoff E, Dewland TA, Dukes JW, Soliman EZ, Stein PK, Gottdiener JS, Alonso A, Chen LY, Psaty BM, et al. Ectopy on a Single 12-Lead ECG, Incident Cardiac Myopathy, and Death in the Community. J Am Heart Assoc. 2017 ;6(8).
Rosenberg MA, Gottdiener JS, Heckbert SR, Mukamal KJ. Echocardiographic diastolic parameters and risk of atrial fibrillation: the Cardiovascular Health Study. Eur Heart J. 2012 ;33(7):904-12.
D
Pellegrini CN, Bůzková P, Oesterle A, Heckbert SR, Tracy RP, Siscovick DS, Mukamal KJ, Djoussé L, Kizer JR. Dysregulated carbohydrate and lipid metabolism and risk of atrial fibrillation in advanced old age. Heart. 2022 .
Bis JC, Sitlani C, Irvin R, Avery CL, Smith AVernon, Sun F, Evans DS, Musani SK, Li X, Trompet S, et al. Drug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE Consortium. PLoS One. 2015 ;10(10):e0140496.
van den Berg ME, Warren HR, Cabrera CP, Verweij N, Mifsud B, Haessler J, Bihlmeyer NA, Fu Y-P, Weiss S, Lin HJ, et al. Discovery of novel heart rate-associated loci using the Exome Chip. Hum Mol Genet. 2017 .
Deo R, Norby FL, Katz R, Sotoodehnia N, Adabag S, deFilippi CR, Kestenbaum B, Chen LY, Heckbert SR, Folsom AR, et al. Development and Validation of a Sudden Cardiac Death Prediction Model for the General Population. Circulation. 2016 ;134(11):806-16.
Cushman M, Tsai AW, White RH, Heckbert SR, Rosamond WD, Enright P, Folsom AR. Deep vein thrombosis and pulmonary embolism in two cohorts: the longitudinal investigation of thromboembolism etiology. Am J Med. 2004 ;117(1):19-25.
C
Thibord F, Klarin D, Brody JA, Chen M-H, Levin MG, Chasman DI, Goode EL, Hveem K, Teder-Laving M, Martinez-Perez A, et al. Cross-Ancestry Investigation of Venous Thromboembolism Genomic Predictors. Circulation. 2022 ;146(16):1225-1242.
Dixit S, Stein PK, Dewland TA, Dukes JW, Vittinghoff E, Heckbert SR, Marcus GM. Consumption of Caffeinated Products and Cardiac Ectopy. J Am Heart Assoc. 2016 ;5(1).
Schellenbaum GD, Heckbert SR, Smith NL, Rea TD, Lumley T, Kitzman DW, Roger VL, Taylor HA, Psaty BM. Congestive heart failure incidence and prognosis: case identification using central adjudication versus hospital discharge diagnoses. Ann Epidemiol. 2006 ;16(2):115-22.
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 .
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.
Sotoodehnia N, Isaacs A, de Bakker PIW, Dörr M, Newton-Cheh C, Nolte IM, van der Harst P, Müller M, Eijgelsheim M, Alonso A, et al. Common variants in 22 loci are associated with QRS duration and cardiac ventricular conduction. Nat Genet. 2010 ;42(12):1068-76.

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