PuSH - Publication Server of Helmholtz Zentrum München

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1.
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)
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.
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)
4.
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)
5.
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)
6.
Böger, C.A.* et al.: NFAT5 and SLC4A10 loci associate with plasma osmolality. J. Am. Soc. Nephrol. 28, 2311-2321 (2017)
7.
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)
8.
Hastings, J.* et al.: WormJam: A consensus C. elegans metabolic reconstruction and metabolomics community and workshop series. Worm 6:e1373939 (2017)
9.
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)
10.
Mack, S.* et al.: Evaluating the causal relation of ApoA-IV with disease-related traits - A bidirectional two-sample mendelian randomization study. Sci. Rep. 7:8734 (2017)
11.
Mack, S.* et al.: A genome-wide association meta-analysis on lipoprotein (a) concentrations adjusted for apolipoprotein (a) isoforms. J. Lipid Res. 58, 1834-1844 (2017)
12.
Marouli, E.* et al.: Rare and low-frequency coding variants alter human adult height. Nature 542, 186-190 (2017)
13.
Rueedi, R.* et al.: Metabomatching: Using genetic association to identify metabolites in proton NMR spectroscopy. PLoS Comput. Biol. 13, e1005839:e1005839 (2017)
14.
Barban, N.* et al.: Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat. Genet. 48, 1462-1472 (2016)
15.
Kilpeläinen, T.O.* et al.: Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels. Nat. Commun. 7:10494 (2016)
16.
Lamina, C.* et al.: A genome-wide association meta-analysis on apolipoprotein A-IV concentrations. Hum. Mol. Genet. 25, 3635-3646 (2016)
17.
Ried, J.S. et al.: A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape. Nat. Commun. 7:13357 (2016)
18.
Teumer, A.* et al.: Genome-wide association studies identify genetic loci associated with albuminuria in diabetes. Diabetes 65, 803-817 (2016)
19.
Winkler, T.W.* et al.: Correction: The influence of age and sex on genetic associations with adult body size and shape: A large-scale genome-wide interaction study. PLoS Genet. 12:e1006166 (2016)
20.
Day, F.R.* et al.: Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair. Nat. Genet. 47, 1294-1303 (2015)