PuSH - Publication Server of Helmholtz Zentrum München

129 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.
Karasik, D.* et al.: Disentangling the genetics of lean mass. Am. J. Clin. Nutr. 109, 276-287 (2019)
3.
Kunkle, B.W.* et al.: Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat. Genet. 51, 414-430 (2019)
4.
Styrkarsdottir, U.* et al.: GWAS of bone size yields twelve loci that also affect height, BMD, osteoarthritis or fractures. Nat. Commun. 10:2054 (2019)
5.
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)
6.
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)
7.
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)
8.
Bihlmeyer, N.A.* et al.: ExomeChip-wide analysis of 95 626 individuals identifies 10 novel loci associated with QT and JT intervals. Circ. Genom. Precis. Med. 11:e001758 (2018)
9.
Haworth, S.* et al.: Consortium-based genome-wide meta-analysis for childhood dental caries traits. Hum. Mol. Genet. 27, 3113-3127 (2018)
10.
Jiang, X.* et al.: Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels. Nat. Commun. 9:260 (2018)
11.
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)
12.
Lin, H.* et al.: Common and rare coding genetic variation underlying the electrocardiographic PR interval. Circ. Genom. Precis. Med. 11:e002037 (2018)
13.
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)
14.
Tedja, M.S.* et al.: Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error. Nat. Genet. 50, 834-848 (2018)
15.
Teumer, A.* et al.: Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation. Nat. Commun. 9:4455 (2018)
16.
Warrington, N.M.* et al.: Maternal and fetal genetic contribution to gestational weight gain. Int. J. Obes. 42, 755-784 (2018)
17.
Böger, C.A.* et al.: NFAT5 and SLC4A10 loci associate with plasma osmolality. J. Am. Soc. Nephrol. 28, 2311-2321 (2017)
18.
Gorski, M.* et al.: 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. Sci. Rep. 7:45040 (2017)
19.
Li, M.* et al.: SOS2 and ACP1 loci identified through large-scale exome chip analysis regulate kidney development and function. J. Am. Soc. Nephrol. 28, 981-994 (2017)
20.
van den Berg, M.* et al.: Discovery of novel heart rate-associated loci using the Exome Chip. Hum. Mol. Genet. 26, 2346-2363 (2017)