PuSH - Publication Server of Helmholtz Zentrum München

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1.
Ji, Y.* et al.: Genome-wide and abdominal MRI data provide evidence that a genetically determined favorable adiposity phenotype is characterized by lower ectopic liver fat and lower risk of type 2 diabetes, heart disease, and hypertension. Diabetes 68, 207-219 (2019)
2.
Lane, J.M.* et al.: Biological and clinical insights from genetics of insomnia symptoms. Nat. Genet. 51, 387-393 (2019)
3.
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)
4.
Bonifacio, E.* et al.: Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: A prospective study in children. PLoS Med. 15:e1002548 (2018)
5.
Zillikens, M.C.* et al.: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nat. Commun. 8:80 (2017)
6.
Zillikens, M.C.* et al.: Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nat. Commun. 8:1414 (2017)
7.
Walford, G.A.* et al.: Genome-wide association study of the modified Stumvoll Insulin Sensitivity Index identifies BCL2 and FAM19A2 as novel insulin sensitivity loci. Diabetes 65, 3200-3211 (2016)
8.
Wood, A.R.* et al.: Variants in the FTO and CDKAL1 loci have recessive effects on risk of obesity and type 2 diabetes, respectively. Diabetologia 59, 1214-1221 (2016)
9.
Locke, A.E.* et al.: Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197-206 (2015)
10.
Wood, A.R.* et al.: Defining the role of common variation in the genomic and biological architecture of adult human height. Nat. Genet. 46, 1173-1186 (2014)
11.
den Hoed, M.* et al.: Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders. Nat. Genet. 45, 621-631 (2013)
12.
Xie, W.* et al.: Genetic variants associated with glycine metabolism and their role in insulin sensitivity and type 2 diabetes. Diabetes 62, 2141-2150 (2013)
13.
Perry, J.R.* et al.: Stratifying type 2 diabetes cases by BMI identifies genetic risk variants in LAMA1 and enrichment for risk variants in lean compared to obese cases. PLoS Genet. 8:e1002741 (2012)
14.
Yang, J.* et al.: Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits. Nat. Genet. 44, 369-375 (2012)
15.
Heid, I.M. et al.: Corrigendum: Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat. Genet. 43, 1164 (2011)
16.
Jafar-Mohammadi, B.* et al.: A role for coding functional variants in HNF4A in type 2 diabetes susceptibility. Diabetologia 54, 111-119 (2011)
17.
Strawbridge, R.J.* et al.: Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes. Diabetes 60, 2624-2634 (2011)
18.
Allen, H.L.* et al.: Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838 (2010)
19.
Dupuis, J.* et al.: New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk. Nat. Genet. 42, 105-116 (2010)
20.
Elks, C.E.* et al.: Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies. Nat. Genet. 42, 1077-1085 (2010)