PuSH - Publication Server of Helmholtz Zentrum München

63 Records found.
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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.
Hatzikotoulas, K. et al.: Genome-wide analyses using uk biobank data povide new therapeutic targets for osteoarthritis. Osteoarthr. Cartil. 27, S58-S59 (2019)
3.
Sakornsakolpat, P.* et al.: Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations. Nat. Genet. 51, 494-505 (2019)
4.
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)
5.
Shrine, N.* et al.: Author Correction: New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries. Nat. Genet., accepted (2019)
6.
Styrkarsdottir, U.* et al.: GWAS of bone size yields twelve loci that also affect height, BMD, osteoarthritis or fractures. Nat. Commun. 10:2054 (2019)
7.
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)
8.
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)
9.
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)
10.
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)
11.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 5:180002 (2018)
12.
Gilly, A.* et al.: Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits. Nat. Commun. 9:4674 (2018)
13.
Gilly, A.* et al.: Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits. Nat. Commun. 9:5460 (2018)
14.
Hackinger, S.* et al.: Evidence for genetic contribution to the increased risk of type 2 diabetes in schizophrenia. Transl. Psychiatry 8:252 (2018)
15.
Huckins, L.M.* et al.: Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa. Mol. Psychiatry 23, 1169-1180 (2018)
16.
Huckins, L.M.* et al.: Correction: Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa. Mol. Psychiatry 23:1 (2018)
17.
Kesselmeier, M.* et al.: High-throughput DNA methylation analysis in anorexia nervosa confirms TNXB hypermethylation. World J. Biol. Psychiatry 19, 187-199 (2018)
18.
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)
19.
Mahajan, A.* et al.: Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nat. Genet. 50, 1505-1513 (2018)
20.
Warrington, N.M.* et al.: Maternal and fetal genetic contribution to gestational weight gain. Int. J. Obes. 42, 755-784 (2018)