PuSH - Publication Server of Helmholtz Zentrum München

27 Records found.
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1.
Karasik, D.* et al.: Disentangling the genetics of lean mass. Am. J. Clin. Nutr. 109, 276-287 (2019)
2.
Gorski, M.* et al.: 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. Sci. Rep. 7:45040 (2017)
3.
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)
4.
Zillikens, M.C.* et al.: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nat. Commun. 8:80 (2017)
5.
Zillikens, M.C.* et al.: Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nat. Commun. 8:1414 (2017)
6.
Huan, T.* et al.: A whole-blood transcriptome meta-analysis identifies gene expression signatures of cigarette smoking. Hum. Mol. Genet. 25, 4611-4623 (2016)
7.
Pattaro, C.* et al.: Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat. Commun. 7:10023 (2016)
8.
Teumer, A.* et al.: Genome-wide association studies identify genetic loci associated with albuminuria in diabetes. Diabetes 65, 803-817 (2016)
9.
Coffee and Caffeine Genetics Consortium et al.: Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption. Mol. Psychiatry 20, 647-656 (2015)
10.
Baumert, J.J. et al.: No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: Results from meta-analyses of 80,607 subjects. PLoS ONE 9:e111156 (2014)
11.
Schramm, K. et al.: Mapping the genetic architecture of gene regulation in whole blood. PLoS ONE 9:e93844 (2014)
12.
Wood, A.R.* et al.: Defining the role of common variation in the genomic and biological architecture of adult human height. Nat. Genet. 46, 1173-1186 (2014)
13.
O'Seaghdha, C.M.* et al.: Meta-analysis of genome-wide association studies identifies six new Loci for serum calcium concentrations. PLoS Genet. 9:e1003796 (2013)
14.
Parsa, A.* et al.: Common variants in mendelian kidney disease genes and their association with renal function. J. Am. Soc. Nephrol. 24, 2105-2117 (2013)
15.
van der Loos, M.J.* et al.: The molecular genetic architecture of self-employment. PLoS ONE 8:e60542 (2013)
16.
Amin, N.* et al.: Genome-wide association analysis of coffee drinking suggests association with CYP1A1/CYP1A2 and NRCAM. Mol. Psychiatry 17, 1116-1129 (2012)
17.
Boraska, V.* et al.: Genome-wide meta-analysis of common variant differences between men and women. Hum. Mol. Genet. 21, 4805-4815 (2012)
18.
Chasman, D.I.* et al.: Integration of genome-wide association studies with biological knowledge identifies six novel genes related to kidney function. Hum. Mol. Genet. 21, 5329-5343 (2012)
19.
Coviello, A.D.* et al.: A genome-wide association meta-analysis of circulating sex hormone-binding globulin reveals multiple loci implicated in sex steroid hormone regulation. PLoS Genet. 8:e1002805 (2012)
20.
Hannemann, A.* et al.: Screening for primary aldosteronism in hypertensive subjects: Results from two German epidemiological studies. Eur. J. Endocrinol. 167, 7-15 (2012)