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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)
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)
Wood, A.M.* et al.: Risk thresholds for alcohol consumption: Combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies. Lancet 391, 1513-1523 (2018)
Yang, Y.* et al.: Molecular genetic overlap between migraine and major depressive disorder. Eur. J. Hum. Genet. 26, 1202-1216 (2018)
Wahl, S. et al.: Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature 541, 81-86 (2017)
Bustamante, M.* et al.: A genome-wide association meta-analysis of diarrhoeal disease in young children identifies FUT2 locus and provides plausible biological pathways. Hum. Mol. Genet. 25, 4127-4142 (2016)
Fan, Q.* et al.: Childhood gene-environment interactions and age-dependent effects of genetic variants associated with refractive error and myopia: The CREAM Consortium. Sci. Rep. 6:25853 (2016)
Felix, J.F.* et al.: Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index. Hum. Mol. Genet. 25, 389-403 (2016)
Gormley, P.* et al.: Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine. Nat. Genet. 48, 856-866 (2016)
Horikoshi, M.* et al.: Genome-wide associations for birth weight and correlations with adult disease. Nature 538, 248-252 (2016)
Marinelli, M.* et al.: Heritability and genome-wide association analyses of sleep duration in children: The EAGLE Consortium. Sleep 39, 1859-1869 (2016)
McCarthy, S.* et al.: A reference panel of 64,976 haplotypes for genotype imputation. Nat. Genet. 48, 1279-1283 (2016)
Okbay, A.* et al.: Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat. Genet. 48, 624-633 (2016)
Pappa, I.* et al.: A genome-wide approach to children's aggressive behavior: The EAGLE consortium. Am. J. Med. Genet. B 171, 562-572 (2016)
Simpkin, A.J.* et al.: Prenatal and early life influences on epigenetic age in children: A study of mother-offspring pairs from two cohort studies. Hum. Mol. Genet. 25, 191-201 (2016)
Chan, Y.* et al.: Genome-wide analysis of body proportion classifies height-associated variants by mechanism of action and implicates genes important for skeletal development. Am. J. Hum. Genet. 96, 695-708 (2015)
Joshi, P.K.* et al.: Directional dominance on stature and cognition in diverse human populations. Nature 523, 459-462 (2015)
Nyholt, D.R.* et al.: Concordance of genetic risk across migraine subgroups: Impact on current and future genetic association studies. Cephalalgia 35, 489-499 (2015)
Paternoster, L.* et al.: Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis. Nat. Genet. 47, 1449-1456 (2015)
Swerdlow, D.I.* et al.: HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: Evidence from genetic analysis and randomised trials. Lancet 385, 351-361 (2015)