PuSH - Publication Server of Helmholtz Zentrum München

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1.
de Vries, P.S.* et al.: Multi-ancestry genome-wide association study of lipid levels incorporating gene-alcohol interactions. Am. J. Epidemiol., accepted (2019)
2.
Karasik, D.* et al.: Disentangling the genetics of lean mass. Am. J. Clin. Nutr. 109, 276-287 (2019)
3.
Kilpeläinen, T.O.* et al.: Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nat. Commun. 10:376 (2019)
4.
Kunkle, B.W.* et al.: Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat. Genet. 51, 414-430 (2019)
5.
van Setten, J.* et al.: Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits. Eur. J. Hum. Genet. 27, 952-962 (2019)
6.
Bihlmeyer, N.A.* et al.: ExomeChip-wide analysis of 95 626 individuals identifies 10 novel loci associated with QT and JT intervals. Circ. Genom. Precis. Med. 11:e001758 (2018)
7.
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)
8.
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)
9.
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)
10.
Jackson, V.E.* et al.: Meta-analysis of exome array data identifies six novel genetic loci for lung function. Wellcome Open Res. 3:4 (2018)
11.
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)
12.
Lin, H.* et al.: Common and rare coding genetic variation underlying the electrocardiographic PR interval. Circ. Genom. Precis. Med. 11:e002037 (2018)
13.
Mahajan, A.* et al.: Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat. Genet. 50, 559-571 (2018)
14.
Prins, B.P.* et al.: Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. Genome Biol. 19:87 (2018)
15.
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)
16.
van Setten, J.* et al.: PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity. Nat. Commun. 9:2904 (2018)
17.
Aschard, H.* et al.: Evidence for large-scale gene-by-smoking interaction effects on pulmonary function. Int. J. Epidemiol. 46, 894-904 (2017)
18.
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)
19.
Day, F.R.* et al.: Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk. Nat. Genet. 49, 834-841 (2017)
20.
Gorski, M.* et al.: 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. Sci. Rep. 7:45040 (2017)