PuSH - Publication Server of Helmholtz Zentrum München

118 Records found.
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1.
Laaksonen, J.* et al.: Discovery of mitochondrial DNA variants associated with genome-wide blood cell gene expression: A population-based mtDNA sequencing study. Hum. Mol. Genet. 28, 1381-1391 (2019)
2.
Lamina, C.* et al.: Estimation of the required lipoprotein(a)-lowering therapeutic effect size for reduction in coronary heart disease outcomes a mendelian randomization analysis. JAMA Cardiol. 4, 575-579 (2019)
3.
Mononen, N.* et al.: Whole blood microRNA levels associate with glycemic status and correlate with target mRNAs in pathways important to type 2 diabetes. Sci. Rep. 9:8887 (2019)
4.
Noordam, R.* et al.: Effects of Calcium, Magnesium, and Potassium Concentrations on Ventricular Repolarization in Unselected Individuals. J. Am. Coll. Cardiol. 73, 3118-3131 (2019)
5.
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)
6.
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)
7.
Spracklen, C.N.* et al.: Exome-derived adiponectin-associated variants implicate obesity and lipid biology. Am. J. Hum. Genet., accepted (2019)
8.
Timmers, P.R.* et al.: Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances. eLife 8:e39856 (2019)
9.
Warrington, N.M.* et al.: Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors. Nat. Genet. 51, 804-814 (2019)
10.
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)
11.
Barrios, C.* et al.: Circulating metabolic biomarkers of renal function in diabetic and non-diabetic populations. Sci. Rep. 8:15249 (2018)
12.
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)
13.
Demenais, F.* et al.: Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks. Nat. Genet. 50, 42-53 (2018)
14.
Erhart, G.* et al.: Genetic factors explain a major fraction of the 50% lower lipoprotein(a) concentrations in Finns. Arterioscler. Thromb. Vasc. Biol. 38, 1230-1241 (2018)
15.
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)
16.
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)
17.
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)
18.
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)
19.
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)
20.
Lin, H.* et al.: Common and rare coding genetic variation underlying the electrocardiographic PR interval. Circ. Genom. Precis. Med. 11:e002037 (2018)