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2017
Warren HR, Evangelou E, Cabrera CP, Gao H, Ren M, Mifsud B, Ntalla I, Surendran P, Liu C, Cook JP, et al. {Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. Nat Genet. 2017 ;49:403–415.
Mozaffarian D, Dashti HS, Wojczynski MK, Chu AY, Nettleton JA, Männistö S, Kristiansson K, Reedik M, Lahti J, Houston DK, et al. Genome-wide association meta-analysis of fish and EPA+DHA consumption in 17 US and European cohorts. PLoS One. 2017 ;12(12):e0186456.
Li C, Kim YKyoung, Dorajoo R, Li H, Lee I-T, Cheng C-Y, He M, Sheu WH-H, Guo X, Ganesh SK, et al. Genome-Wide Association Study Meta-Analysis of Long-Term Average Blood Pressure in East Asians. Circ Cardiovasc Genet. 2017 ;10(2):e001527.
Noordam R, Sitlani CM, Avery CL, Stewart JD, Gogarten SM, Wiggins KL, Trompet S, Warren HR, Sun F, Evans DS, et al. A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. J Med Genet. 2017 ;54(5):313-323.
Smith CE, Follis JL, Dashti HS, Tanaka T, Graff M, Fretts AM, Kilpeläinen TO, Wojczynski MK, Richardson K, Nalls MA, et al. Genome-Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent. Mol Nutr Food Res. 2017 .
Joshi PK, Pirastu N, Kentistou KA, Fischer K, Hofer E, Schraut KE, Clark DW, Nutile T, Barnes CLK, Timmers PRHJ, et al. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nat Commun. 2017 ;8(1):910.
Justice AE, Winkler TW, Feitosa MF, Graff M, Fisher VA, Young K, Barata L, Deng X, Czajkowski J, Hadley D, et al. {Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat Commun. 2017 ;8:14977.
van Rooij FJA, Qayyum R, Smith AV, Zhou Y, Trompet S, Tanaka T, Keller MF, Chang L-C, Schmidt H, Yang M-L, et al. Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis. Am J Hum Genet. 2017 ;100(1):51-63.
Ben-Avraham D, Govindaraju DR, Budagov T, Fradin D, Durda P, Liu B, Ott S, Gutman D, Sharvit L, Kaplan R, et al. The GH receptor exon 3 deletion is a marker of male-specific exceptional longevity associated with increased GH sensitivity and taller stature. Sci Adv. 2017 ;3(6):e1602025.
2016
Perera S, Patel KV, Rosano C, Rubin SM, Satterfield S, Harris T, Ensrud K, Orwoll E, Lee CG, Chandler JM, et al. Gait Speed Predicts Incident Disability: A Pooled Analysis. J Gerontol A Biol Sci Med Sci. 2016 ;71(1):63-71.
Bansal N, Katz R, Seliger S, DeFilippi C, Sarnak MJ, Delaney JA, Christenson R, de Boer IH, Kestenbaum B, Robinson-Cohen C, et al. Galectin-3 and Soluble ST2 and Kidney Function Decline in Older Adults: The Cardiovascular Health Study (CHS). Am J Kidney Dis. 2016 ;67(6):994-6.
Lin H, Mueller-Nurasyid M, Smith AV, Arking DE, Barnard J, Bartz TM, Lunetta KL, Lohman K, Kleber ME, Lubitz SA, et al. {Gene-gene Interaction Analyses for Atrial Fibrillation. Sci Rep. 2016 ;6:35371.
Wang S, Zhao JH, An P, Guo X, Jensen RA, Marten J, Huffman JE, Meidtner K, Boeing H, Campbell A, et al. General Framework for Meta-Analysis of Haplotype Association Tests. Genet Epidemiol. 2016 ;40(3):244-52.
Pattaro C, Teumer A, Gorski M, Chu AY, Li M, Mijatovic V, Garnaas M, Tin A, Sorice R, Li Y, et al. {Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016 ;7:10023.
Roberts JD, Hu D, Heckbert SR, Alonso A, Dewland TA, Vittinghoff E, Liu Y, Psaty BM, Olgin JE, Magnani JW, et al. Genetic Investigation Into the Differential Risk of Atrial Fibrillation Among Black and White Individuals. JAMA Cardiol. 2016 ;1(4):442-50.
Robinson-Cohen C, Lutsey PL, Kleber ME, Nielson CM, Mitchell BD, Bis JC, Eny KM, Portas L, Eriksson J, Lorentzon M, et al. Genetic Variants Associated with Circulating Parathyroid Hormone. J Am Soc Nephrol. 2016 .
Amin N, Allebrandt KV, van der Spek A, Müller-Myhsok B, Hek K, Teder-Laving M, Hayward C, Esko T, van Mill JG, Mbarek H, et al. Genetic variants in RBFOX3 are associated with sleep latency. Eur J Hum Genet. 2016 ;24(10):1488-95.
Ehret GB, Ferreira T, Chasman DI, Jackson AU, Schmidt EM, Johnson T, Thorleifsson G, Luan J, Donnelly LA, Kanoni S, et al. {The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nat Genet. 2016 ;48:1171–1184.
Cheng Y-C, Stanne TM, Giese A-K, Ho WKee, Traylor M, Amouyel P, Holliday EG, Malik R, Xu H, Kittner SJ, et al. Genome-Wide Association Analysis of Young-Onset Stroke Identifies a Locus on Chromosome 10q25 Near HABP2. Stroke. 2016 ;47(2):307-16.
Dehghan A, Bis JC, White CC, Smith AVernon, Morrison AC, Cupples AL, Trompet S, Chasman DI, Lumley T, Völker U, et al. Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium. PLoS One. 2016 ;11(3):e0144997.
Taylor KC, Evans DS, Edwards DRVelez, Edwards TL, Sofer T, Li G, Liu Y, Franceschini N, Jackson RD, Giri A, et al. A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women. Bone Rep. 2016 ;5:233-242.
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.

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