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Author Title [ Type(Asc)] Year
Journal Article
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.
Ilkhanoff L, Arking DE, Lemaitre RN, Alonso A, Chen LY, Durda P, Hesselson SE, Kerr KF, Magnani JW, Marcus GM, et al. A common SCN5A variant is associated with PR interval and atrial fibrillation among African Americans. J Cardiovasc Electrophysiol. 2014 ;25(11):1150-7.
Reiner AP, Diehr P, Browner WS, Humphries SE, Jenny NS, Cushman M, Tracy RP, Walston J, Lumley T, Newman AB, et al. Common promoter polymorphisms of inflammation and thrombosis genes and longevity in older adults: the cardiovascular health study. Atherosclerosis. 2005 ;181(1):175-83.
Reiner AP, Lange LA, Smith NL, Zakai NA, Cushman M, Folsom AR. Common hemostasis and inflammation gene variants and venous thrombosis in older adults from the Cardiovascular Health Study. J Thromb Haemost. 2009 ;7(9):1499-505.
Deo R, Nalls MA, Avery CL, Smith JG, Evans DS, Keller MF, Butler AM, Buxbaum SG, Li G, P Quibrera M, et al. Common genetic variation near the connexin-43 gene is associated with resting heart rate in African Americans: a genome-wide association study of 13,372 participants. Heart Rhythm. 2013 ;10(3):401-8.
Dörr M, Hamburg NM, Müller C, Smith NL, Gustafsson S, Lehtimäki T, Teumer A, Zeller T, Li X, Lind L, et al. Common Genetic Variation in Relation to Brachial Vascular Dimensions and Flow-Mediated Vasodilation. Circ Genom Precis Med. 2019 ;12(2):e002409.
Walford GA, Green T, Neale B, Isakova T, Rotter JI, Grant SFA, Fox CS, Pankow JS, Wilson JG, Meigs JB, et al. Common genetic variants differentially influence the transition from clinically defined states of fasting glucose metabolism. Diabetologia. 2012 ;55(2):331-9.
Lange LA, Reiner AP, Carty CL, Jenny NS, Cushman M, Lange EM. Common genetic variants associated with plasma fibrin D-dimer concentration in older European- and African-American adults. J Thromb Haemost. 2008 ;6(4):654-9.
Kestenbaum B, Glazer NL, Köttgen A, Felix JF, Hwang S-J, Liu Y, Lohman K, Kritchevsky SB, Hausman DB, Petersen A-K, et al. Common genetic variants associate with serum phosphorus concentration. J Am Soc Nephrol. 2010 ;21(7):1223-32.
van Meurs JBJ, Paré G, Schwartz SM, Hazra A, Tanaka T, Vermeulen SH, Cotlarciuc I, Yuan X, Mälarstig A, Bandinelli S, et al. Common genetic loci influencing plasma homocysteine concentrations and their effect on risk of coronary artery disease. Am J Clin Nutr. 2013 ;98(3):668-76.
Wang TJ, Zhang F, J Richards B, Kestenbaum B, van Meurs JB, Berry D, Kiel DP, Streeten EA, Ohlsson C, Koller DL, et al. Common genetic determinants of vitamin D insufficiency: a genome-wide association study. Lancet. 2010 ;376(9736):180-8.
Rajagopalan P, Jahanshad N, Stein JL, Hua X, Madsen SK, Kohannim O, Hibar DP, Toga AW, Jack CR, Saykin AJ, et al. Common folate gene variant, MTHFR C677T, is associated with brain structure in two independent cohorts of people with mild cognitive impairment. Neuroimage Clin. 2012 ;1(1):179-87.
Mukamal KJ, Wilk JB, Biggs ML, Jensen MK, Ix JH, Kizer JR, Tracy RP, Zieman SJ, Mozaffarian D, Psaty BM, et al. Common FABP4 genetic variants and plasma levels of fatty acid binding protein 4 in older adults. Lipids. 2013 ;48(11):1169-75.
Reiner AP, Gross MD, Carlson CS, Bielinski SJ, Lange LA, Fornage M, Jenny NS, Walston J, Tracy RP, O Williams D, et al. Common coding variants of the HNF1A gene are associated with multiple cardiovascular risk phenotypes in community-based samples of younger and older European-American adults: the Coronary Artery Risk Development in Young Adults Study and The Cardiovascula. Circ Cardiovasc Genet. 2009 ;2(3):244-54.
Macri V, Brody JA, Arking DE, Hucker WJ, Yin X, Lin H, Mills RW, Sinner MF, Lubitz SA, Liu C-T, et al. Common Coding Variants in Are Associated With the Nav1.8 Late Current and Cardiac Conduction. Circ Genom Precis Med. 2018 ;11(5):e001663.
Bots ML, Groenewegen KA, Anderson TJ, Britton AR, Dekker JM, Engström G, Evans GW, de Graaf J, Grobbee DE, Hedblad B, et al. Common carotid intima-media thickness measurements do not improve cardiovascular risk prediction in individuals with elevated blood pressure: the USE-IMT collaboration. Hypertension. 2014 ;63(6):1173-81.
Ruijter HM den, Peters SAE, Groenewegen KA, Anderson TJ, Britton AR, Dekker JM, Engstrom G, Eijkemans MJ, Evans GW, de Graaf J, et al. Common carotid intima-media thickness does not add to Framingham risk score in individuals with diabetes mellitus: the USE-IMT initiative. Diabetologia. 2013 ;56(7):1494-502.
Lin H, van Setten J, Smith AV, Bihlmeyer NA, Warren HR, Brody JA, Radmanesh F, Hall L, Grarup N, Müller-Nurasyid M, et al. Common and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval. Circ Genom Precis Med. 2018 ;11(5):e002037.
Barnes DE, Covinsky KE, Whitmer RA, Kuller LH, Lopez OL, Yaffe K. Commentary on "Developing a national strategy to prevent dementia: Leon Thal Symposium 2009." Dementia risk indices: A framework for identifying individuals with a high dementia risk. Alzheimers Dement. 2010 ;6(2):138-41.
Bůzková P, Barzilay JI. Comment on Davis et al. Development and Validation of a Simple Hip Fracture Risk Prediction Tool for Type 2 Diabetes: The Fremantle Diabetes Study Phase I. Diabetes Care 2018;42:102-109. Diabetes Care. 2019 ;42(6):e100.
Wong ND, Lopez VA, Roberts CS, Solomon HA, Burke GL, Kuller L, Tracy R, Yanez D, Psaty BM. Combined association of lipids and blood pressure in relation to incident cardiovascular disease in the elderly: the cardiovascular health study. Am J Hypertens. 2010 ;23(2):161-7.
Anon. Collaborative pooled analysis of data on C-reactive protein gene variants and coronary disease: judging causality by Mendelian randomisation. Eur J Epidemiol. 2008 ;23(8):531-40.
Anon. Collaborative meta-analysis of prospective studies of plasma fibrinogen and cardiovascular disease. Eur J Cardiovasc Prev Rehabil. 2004 ;11(1):9-17.
Ballantyne C, Cushman M, Psaty B, Furberg C, Khaw KT, Sandhu M, Oldgren J, Rossi GP, Maiolino G, Cesari M, et al. Collaborative meta-analysis of individual participant data from observational studies of Lp-PLA2 and cardiovascular diseases. Eur J Cardiovasc Prev Rehabil. 2007 ;14(1):3-11.
Psaty BM, Sitlani C. The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium as a model of collaborative science. Epidemiology. 2013 ;24(3):346-8.

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