PuSH - Publication Server of Helmholtz Zentrum München

37 Records found.
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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.
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)
3.
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)
4.
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)
5.
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)
6.
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)
7.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 5:180002 (2018)
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.
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)
10.
Mahajan, A.* et al.: Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nat. Genet. 50, 1505-1513 (2018)
11.
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)
12.
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)
13.
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)
14.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 4:170179 (2017)
15.
Gorski, M.* et al.: 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. Sci. Rep. 7:45040 (2017)
16.
Justice, A.E.* et al.: Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat. Commun. 8:14977 (2017)
17.
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)
18.
Liu, D.J.* et al.: Exome-wide association study of plasma lipids in >300,000 individuals. Nat. Genet. 49, 1758-1766 (2017)
19.
Marouli, E.* et al.: Rare and low-frequency coding variants alter human adult height. Nature 542, 186-190 (2017)
20.
Scott, R.A.* et al.: An expanded genome-wide association study of type 2 diabetes in Europeans. Diabetes 66, 2888-2902 (2017)