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Bentley, A.R.* et al.: Multi-ancestry genome-wide gene–smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. Nat. Genet. 51, 636-648 (2019)
de Vries, P.S.* et al.: Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions. Am. J. Epidemiol. 188, 1033-1054 (2019)
Sung, Y.J.* et al.: A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure. Hum. Mol. Genet., accepted (2019)
Evangelou, E.* et al.: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nat. Genet. 50, 1412-1425 (2018)
Evangelou, E.* et al.: Erratum to: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (Nature Genetics, (2018), 50, 10, (1412-1425), 10.1038/s41588-018-0205-x). Nat. Genet., accepted (2018)
Feitosa, M.F.* et al.: Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries. PLoS ONE 13:e0198166 (2018)
Sung, Y.J.* et al.: A large-scale multi-ancestry genome-wide study accounting for smoking behavior identifies multiple significant loci for blood pressure. Am. J. Hum. Genet. 102, 375-400 (2018)
Magosi, L.E.* ; Goel, A.* ; Hopewell, J.C.* ; Farrall, M.* & CARDIoGRAMplusC4D Consortium (Gieger, C. ; Peters, A. ; Meitinger, T.): Identifying systematic heterogeneity patterns in genetic association meta-analysis studies. PLoS Genet. 13:e1006755 (2017)
Saleheen, D.* et al.: Loss of cardioprotective effects at the ADAMTS7 locus as a result of gene-smoking interactions. Circulation 135, 2336-2353 (2017)
Wain, L.V.* et al.: Novel blood pressure locus and gene discovery using genome-wide association study and expression data sets from blood and the kidney. Hypertension 70, e4-e19 (2017)
Webb, T.R.* et al.: Systematic evaluation of pleiotropy identifies 6 further loci associated with coronary artery disease. J. Am. Coll. Cardiol. 69, 823-836 (2017)
Wheeler, E.* et al.: Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. PLoS Med. 14:e1002383 (2017)
de Vries, P.S.* et al.: A meta-analysis of 120,246 individuals identifies 18 new loci for fibrinogen concentration. Hum. Mol. Genet. 25, 358-370 (2016)
Ehret, G.B.* et al.: The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nat. Genet. 48, 1171-1184 (2016)
Keenan, T.* et al.: Causal assessment of serum urate levels in cardiometabolic diseases through a mendelian randomization study. J. Am. Coll. Cardiol. 67, 407-416 (2016)
Ried, J.S. et al.: A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape. Nat. Commun. 7:13357 (2016)
Stitziel, N.O.* et al.: Coding variation in ANGPTL4, LPL, and SVEP1 and the risk of coronary disease. N. Engl. J. Med. 374, 1134-1144 (2016)
Stitziel, N.O.* et al.: Coding variation in ANGPTL4, LPL, and SVEP1 and the risk of coronary disease (vol 374, pg 1134, 2016). N. Engl. J. Med. 374, 1898-1898 (2016)
Winkler, T.W.* et al.: Correction: The influence of age and sex on genetic associations with adult body size and shape: A large-scale genome-wide interaction study. PLoS Genet. 12:e1006166 (2016)
Interleukin 1 Genetics Consortium et al.: Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: A mendelian randomisation analysis. Lancet Diabet. Endocrinol. 3, 243-253 (2015)