PuSH - Publication Server of Helmholtz Zentrum München

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1.
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)
2.
de Vries, P.S.* et al.: Multi-ancestry Genome-Wide Association study of lipid levels incorporating gene-alcohol interactions. Am. J. Epidemiol. 188, 1033-1054 (2019)
3.
Flannick, J.* et al.: Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls. Nature 570, 71-76 (2019)
4.
Justice, A.E.* et al.: Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nat. Genet. 51, 452–469 (2019)
5.
Malik, R.* et al.: Publisher Correction: Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes (Nature Genetics, (2018), 50, 4, (524-537), 10.1038/s41588-018-0058-3). Nat. Genet. (2019)
6.
Spracklen, C.N.* et al.: Exome-derived adiponectin-associated variants implicate obesity and lipid biology. Am. J. Hum. Genet., accepted (2019)
7.
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)
8.
Ligthart, S.* et al.: Genome analyses of >200,000 individuals identify 58 loci for chronic inflammation and highlight pathways that link inflammation and complex disorders. Am. J. Hum. Genet. 103, 691-706 (2018)
9.
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)
10.
Turcot, V.* et al.: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat. Genet. 50, 26-41 (2018)
11.
Turcot, V.* et al.: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 765, 2017). Nat. Genet. 50, 764-768 (2018)
12.
Christophersen, I.E.* et al.: Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation. Nat. Genet. 49, 946-952 (2017)
13.
Christophersen, I.E.* et al.: Fifteen genetic loci associated with the electrocardiographic P wave. Circ. Cardiovasc. Genet. 10:e001667 (2017)
14.
Holzinger, E.R.* et al.: Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. 10:25 (2017)
15.
Howson, J.M.M.* et al.: Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms. Nat. Genet. 49, 1113-1119 (2017)
16.
Li, M.* et al.: SOS2 and ACP1 loci identified through large-scale exome chip analysis regulate kidney development and function. J. Am. Soc. Nephrol. 28, 981-994 (2017)
17.
Nolte, I.M.* et al.: Genetic loci associated with heart rate variability and their effects on cardiac disease risk. Nat. Commun. 8:15805 (2017)
18.
Chen, B.H.* et al.: DNA methylation-based measures of biological age: Meta-analysis predicting time to death. Aging 8, 1844-1865 (2016)
19.
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)
20.
Lessard, S.* et al.: Testing the role of predicted gene knockouts in human anthropometric trait variation. Hum. Mol. Genet. 25, 2082-2092 (2016)