PuSH - Publication Server of Helmholtz Zentrum München

24 Records found.
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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.
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)
3.
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)
4.
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)
5.
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)
6.
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)
7.
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)
8.
Scott, R.A.* et al.: An expanded genome-wide association study of type 2 diabetes in Europeans. Diabetes 66, 2888-2902 (2017)
9.
Horikoshi, M.* et al.: Genome-wide associations for birth weight and correlations with adult disease. Nature 538, 248-252 (2016)
10.
Kilpeläinen, T.O.* et al.: Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels. Nat. Commun. 7:10494 (2016)
11.
Okbay, A.* et al.: Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat. Genet. 48, 624-633 (2016)
12.
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)
13.
Scott, R.A.* et al.: A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease. Sci. Transl. Med. 8:341ra76 (2016)
14.
Surendran, P.* et al.: Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nat. Genet. 48, 1151-1161 (2016)
15.
Fall, T.* et al.: Age- and sex-specific causal effects of adiposity on cardiovascular risk factors. Diabetes 64, 1841-1852 (2015)
16.
Gaulton, K.J.* et al.: Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci. Nat. Genet. 47, 1415-1425 (2015)
17.
Hägg, S.* et al.: Adiposity as a cause of cardiovascular disease: A Mendelian randomization study. Int. J. Epidemiol. 44, 578-586 (2015)
18.
Horikoshi, M.* et al.: Discovery and fine-mapping of glycaemic and obesity-related trait loci using high-density imputation. PLoS Genet. 11:e1005230 (2015)
19.
Surakka, I.* et al.: The impact of low-frequency and rare variants on lipid levels. Nat. Genet. 47, 589-597 (2015)
20.
Fall, T.* et al.: The role of adiposity in cardiometabolic traits: A mendelian randomization analysis. PLoS Med. 10:e1001474 (2013)