PuSH - Publication Server of Helmholtz Zentrum München

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1.
Karlsson Linnér, R.* et al.: Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences. Nat. Genet. 51, 245-257 (2019)
2.
van Setten, J.* et al.: Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits. Eur. J. Hum. Genet. 27, 952-962 (2019)
3.
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)
4.
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)
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.
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)
8.
Luijk, R.* et al.: Autosomal genetic variation is associated with DNA methylation in regions variably escaping X-chromosome inactivation. Nat. Commun. 9:3738 (2018)
9.
Parmar, P.* et al.: Association of maternal prenatal smoking GFI1-locus and cardiometabolic phenotypes in 18,212 adults. EBioMedicine 38, 206-216 (2018)
10.
Waage, J.* et al.: Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis. Nat. Genet. 50, 1072–1080 (2018)
11.
Waage, J.* et al.: Author correction: Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis. Nat. Genet. 50:1343 (2018)
12.
Yang, Y.* et al.: Molecular genetic overlap between migraine and major depressive disorder. Eur. J. Hum. Genet. 26, 1202-1216 (2018)
13.
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)
14.
Ferreira, M.A.* et al.: Shared genetic origin of asthma, hay fever and eczema elucidates allergic disease biology. Nat. Genet. 49, 1752-1757 (2017)
15.
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)
16.
Molnos, S. et al.: Metabolite ratios as potential biomarkers for type 2 diabetes: A DIRECT study. Diabetologia 61, 117-129 (2017)
17.
Power, R.A.* et al.: Genome-wide association for major depression through age at onset stratification: Major depressive disorder working group of the Psychiatric Genomics Consortium. Biol. Psychiatry 81, 325-335 (2017)
18.
Wain, L.V.* et al.: Novel blood pressure locus and gene discovery using genome-wide association study and expression data sets from blood and the kidney. Hypertension 70, e4-e19 (2017)
19.
Wheeler, E.* et al.: Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. PLoS Med. 14:e1002383 (2017)
20.
Wood, A.R.* et al.: A genome-wide association study of IVGTT-based measures of first-phase insulin secretion refines the underlying physiology of type 2 diabetes variants. Diabetes 66, 2296-2309 (2017)