PuSH - Publication Server of Helmholtz Zentrum München

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1.
Bentley, A.R.* et al.: Multi-ancestry genome-wide gene–smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. Nat. Genet. 51, 636-648 (2019)
2.
Gilly, A. et al.: Very low depth whole genome sequencing in complex trait association studies. Bioinformatics, accepted (2019)
3.
Gurdasani, D.* ; Barroso, I.* ; Zeggini, E. & Sandhu, M.S.*: Genomics of disease risk in globally diverse populations. Nat. Rev. Genet., accepted (2019)
4.
Hatzikotoulas, K. et al.: Genome-wide analyses using uk biobank data povide new therapeutic targets for osteoarthritis. Osteoarthr. Cartil. 27, S58-S59 (2019)
5.
Sakornsakolpat, P.* et al.: Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations. Nat. Genet. 51, 494-505 (2019)
6.
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)
7.
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)
8.
Styrkarsdottir, U.* et al.: GWAS of bone size yields twelve loci that also affect height, BMD, osteoarthritis or fractures. Nat. Commun. 10:2054 (2019)
9.
Styrkarsdottir, U.* et al.: Erratum: Publisher Correction: GWAS of bone size yields twelve loci that also affect height, BMD, osteoarthritis or fractures (Nature communications (2019) 10 1 (2054)). Nat. Commun. 10:2358 (2019)
10.
Tachmazidou, I.* et al.: Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data. Nat. Genet. 51, 230-236 (2019)
11.
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)
12.
Zheng, J.* et al.: Mendelian Randomization analysis reveals a causal influence of circulating sclerostin levels on bone mineral density and fractures. J. Bone Min. Res., accepted (2019)
13.
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)
14.
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)
15.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 5:180002 (2018)
16.
Gilly, A.* et al.: Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits. Nat. Commun. 9:4674 (2018)
17.
Gilly, A.* et al.: Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits. Nat. Commun. 9:5460 (2018)
18.
Hackinger, S.* et al.: Evidence for genetic contribution to the increased risk of type 2 diabetes in schizophrenia. Transl. Psychiatry 8:252 (2018)
19.
Huckins, L.M.* et al.: Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa. Mol. Psychiatry 23, 1169-1180 (2018)
20.
Huckins, L.M.* et al.: Correction: Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa. Mol. Psychiatry 23:1 (2018)