PuSH - Publication Server of Helmholtz Zentrum München

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1.
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)
2.
Gregson, J.* et al.: Cardiovascular risk factors are associated with venous thromboembolism. JAMA Cardiol. 4, 163-173 (2019)
3.
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)
4.
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)
5.
Pennells, L.* et al.: Equalization of four cardiovascular risk algorithms after systematic recalibration: Individual-participant meta-analysis of 86 prospective studies. Eur. Heart J. 40, 621-631 (2019)
6.
Shrine, N.* et al.: New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries. Nat. Genet. 51, 481-493 (2019)
7.
Shrine, N.* et al.: Author Correction: New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries (Nature Genetics, (2019), 51, 3, (481-493), 10.1038/s41588-018-0321-7). Nat. Genet., accepted (2019)
8.
Wuttke, M.* et al.: A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nat. Genet. 51, 957-972 (2019)
9.
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)
10.
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)
11.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 5:180002 (2018)
12.
Gilly, A.* et al.: Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits. Nat. Commun. 9:4674 (2018)
13.
Gilly, A.* et al.: Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits. Nat. Commun. 9:5460 (2018)
14.
Jiang, X.* et al.: Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels. Nat. Commun. 9:260 (2018)
15.
Klarin, D.* et al.: Genetics of blood lipids among similar to 300,000 multi-ethnic participants of the Million Veteran Program. Nat. Genet. 50, 1514-1523 (2018)
16.
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)
17.
Malik, R.* et al.: Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes. Nat. Genet. 50, 524-537 (2018)
18.
Wood, A.M.* et al.: Risk thresholds for alcohol consumption: Combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies. Lancet 391, 1513-1523 (2018)
19.
Yao, C.* et al.: Genome-wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease. Nat. Commun. 9:3268 (2018)
20.
Yao, C.* et al.: Genome-wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease (vol 9, 3268, 2018). Nat. Commun. 9:3853 (2018)