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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)
Erzurumluoglu, A.M.* et al.: Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Mol. Psychiatry, accepted (2019)
van den Berg, M.* et al.: Discovery of novel heart rate-associated loci using the Exome Chip. Hum. Mol. Genet. 26, 2346-2363 (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)
Warren, H.R.* et al.: Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. Nat. Genet. 49, 403-415 (2017)
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)
Kanoni, S.* et al.: Analysis with the exome array identifies multiple new independent variants in lipid loci. Hum. Mol. Genet. 25, 4094-4106 (2016)
Surendran, P.* et al.: Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nat. Genet. 48, 1151-1161 (2016)
Joshi, P.K.* et al.: Directional dominance on stature and cognition in diverse human populations. Nature 523, 459-462 (2015)
Asselbergs, F.W.* et al.: Large-scale gene-centric meta-analysis across 32 studies identifies multiple lipid loci. Am. J. Hum. Genet. 91, 823-838 (2012)
Saxena, R.* et al.: Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci. Am. J. Hum. Genet. 90, 410-425 (2012)