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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)
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)
Teumer, A.* et al.: Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation. Nat. Commun. 9:4455 (2018)
Gorski, M.* et al.: 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. Sci. Rep. 7:45040 (2017)
Pattaro, C.* et al.: Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat. Commun. 7:10023 (2016)
Teumer, A.* et al.: Genome-wide association studies identify genetic loci associated with albuminuria in diabetes. Diabetes 65, 803-817 (2016)
Minelli, C.* et al.: Importance of different types of prior knowledge in selecting genome-wide findings for follow-up. Genet. Epidemiol. 37, 205-213 (2013)
Parsa, A.* et al.: Common variants in mendelian kidney disease genes and their association with renal function. J. Am. Soc. Nephrol. 24, 2105-2117 (2013)
Thompson, J.R.* et al.: SNP prioritization using a Bayesian probability of association. Genet. Epidemiol. 37, 214-221 (2013)
Chasman, D.I.* et al.: Integration of genome-wide association studies with biological knowledge identifies six novel genes related to kidney function. Hum. Mol. Genet. 21, 5329-5343 (2012)
Pattaro, C.* et al.: Genome-wide association and functional follow-up reveals new loci for kidney function. PLoS Genet. 8:e1002584 (2012)