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Author Title Type [ Year(Asc)]
2016
Walford GA, Gustafsson S, Rybin D, Stančáková A, Chen H, Liu C-T, Hong J, Jensen RA, Rice K, Morris AP, et al. Genome-Wide Association Study of the Modified Stumvoll Insulin Sensitivity Index Identifies BCL2 and FAM19A2 as Novel Insulin Sensitivity Loci. Diabetes. 2016 ;65(10):3200-11.
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.
Waks JW, Sitlani CM, Soliman EZ, Kabir M, Ghafoori E, Biggs ML, Henrikson CA, Sotoodehnia N, Biering-Sørensen T, Agarwal SK, et al. Global Electric Heterogeneity Risk Score for Prediction of Sudden Cardiac Death in the General Population: The Atherosclerosis Risk in Communities (ARIC) and Cardiovascular Health (CHS) Studies. Circulation. 2016 ;133(23):2222-34.
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.
Ibrahim-Verbaas CA, Bressler J, Debette S, Schuur M, Smith AV, Bis JC, Davies G, Trompet S, Smith JA, Wolf C, et al. GWAS for executive function and processing speed suggests involvement of the CADM2 gene. Mol Psychiatry. 2016 ;21(2):189-97.
Huang Z, Rustagi N, Veeraraghavan N, Carroll A, Gibbs R, Boerwinkle E, Venkata MGorentla, Yu F. A hybrid computational strategy to address WGS variant analysis in >5000 samples. BMC Bioinformatics. 2016 ;17(1):361.
Roberts JD, Dewland TA, Glidden DV, Hoffmann TJ, Arking DE, Chen LY, Psaty BM, Olgin JE, Alonso A, Heckbert SR, et al. Impact of genetic variants on the upstream efficacy of renin-angiotensin system inhibitors for the prevention of atrial fibrillation. Am Heart J. 2016 ;175:9-17.
Wallace ER, Siscovick DS, Sitlani CM, Dublin S, Mitchell PH, Odden MC, Hirsch CH, Thielke S, Heckbert SR. Incident Atrial Fibrillation and Disability-Free Survival in the Cardiovascular Health Study. J Am Geriatr Soc. 2016 ;64(4):838-43.
Willeit P, Thompson SG, Agewall S, Bergström G, Bickel H, Catapano AL, Chien K-L, de Groot E, Empana J-P, Etgen T, et al. Inflammatory markers and extent and progression of early atherosclerosis: Meta-analysis of individual-participant-data from 20 prospective studies of the PROG-IMT collaboration. Eur J Prev Cardiol. 2016 ;23(2):194-205.
Kaplan RC, Strizich G, Aneke-Nash C, Dominguez-Islas C, Bůzková P, Strickler H, Rohan T, Pollak M, Kuller L, Kizer JR, et al. Insulinlike growth factor binding protein-1 and ghrelin predict health outcomes among older adults: CHS cohort. J Clin Endocrinol Metab. 2016 :jc20162779.
Ma Y, Follis JL, Smith CE, Tanaka T, Manichaikul AW, Chu AY, Samieri C, Zhou X, Guan W, Wang L, et al. Interaction of methylation-related genetic variants with circulating fatty acids on plasma lipids: a meta-analysis of 7 studies and methylation analysis of 3 studies in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium. Am J Clin Nutr. 2016 ;103(2):567-78.
Schumann G, Liu C, O'Reilly P, Gao H, Song P, Xu B, Ruggeri B, Amin N, Jia T, Preis S, et al. KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference. Proc Natl Acad Sci U S A. 2016 ;113(50):14372-14377.
Appiah D, Heckbert SR, Cushman M, Psaty BM, Folsom AR. Lack of association of plasma gamma prime (γ') fibrinogen with incident cardiovascular disease. Thromb Res. 2016 ;143:50-2.
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.
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 .
Bell EJ, Lutsey PL, Basu S, Cushman M, Heckbert SR, Lloyd-Jones DM, Folsom AR. Lifetime Risk of Venous Thromboembolism in Two Cohort Studies. Am J Med. 2016 ;129(3):339.e19-26.
Garg PK, Arnold AM, Stukovsky KDHinckley, Koro C, Jenny NS, Mukamal KJ, Criqui MH, Furberg CD, Newman AB, Cushman M. Lipoprotein-Associated Phospholipase A2 and Incident Peripheral Arterial Disease in Older Adults: The Cardiovascular Health Study. Arterioscler Thromb Vasc Biol. 2016 ;36(4):750-6.
Brutsaert EF, Biggs ML, Delaney JA, Djoussé L, Gottdiener JS, Ix JH, Kim F, Mukamal KJ, Siscovick DS, Tracy RP, et al. Longitudinal assessment of N-terminal pro-B-type natriuretic peptide and risk of diabetes in older adults: The cardiovascular health study. Metabolism. 2016 ;65(10):1489-97.
Petersen J, Kaye J, Jacobs PG, Quinones A, Dodge H, Arnold A, Thielke S. Longitudinal Relationship Between Loneliness and Social Isolation in Older Adults: Results From the Cardiovascular Health Study. J Aging Health. 2016 ;28(5):775-95.
Raji CA, Merrill DA, Eyre H, Mallam S, Torosyan N, Erickson KI, Lopez OL, Becker JT, Carmichael OT, H Gach M, et al. Longitudinal Relationships between Caloric Expenditure and Gray Matter in the Cardiovascular Health Study. J Alzheimers Dis. 2016 ;52(2):719-29.
Karas MG, Yee LM, Biggs ML, Djoussé L, Mukamal KJ, Ix JH, Zieman SJ, Siscovick DS, Gottdiener JS, Rosenberg MA, et al. Measures of Body Size and Composition and Risk of Incident Atrial Fibrillation in Older People: The Cardiovascular Health Study. Am J Epidemiol. 2016 ;183(11):998-1007.
Liu C, Kraja AT, Smith JA, Brody JA, Franceschini N, Bis JC, Rice K, Morrison AC, Lu Y, Weiss S, et al. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. Nat Genet. 2016 ;48(10):1162-70.
de Vries PS, Chasman DI, Sabater-Lleal M, Chen M-H, Huffman JE, Steri M, Tang W, Teumer A, Marioni RE, Grossmann V, et al. A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration. Hum Mol Genet. 2016 ;25(2):358-70.
van Leeuwen EM, Sabo A, Bis JC, Huffman JE, Manichaikul A, Smith AV, Feitosa MF, Demissie S, Joshi PK, Duan Q, et al. Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels. J Med Genet. 2016 ;53(7):441-9.
Postmus I, Warren HR, Trompet S, Arsenault BJ, Avery CL, Bis JC, Chasman DI, de Keyser CE, Deshmukh HA, Evans DS, et al. Meta-analysis of genome-wide association studies of HDL cholesterol response to statins. J Med Genet. 2016 ;53(12):835-845.

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