PuSH - Publication Server of Helmholtz Zentrum München

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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.
de Vries, P.S.* et al.: Multi-ancestry genome-wide association study of lipid levels incorporating gene-alcohol interactions. Am. J. Epidemiol., accepted (2019)
3.
Flannick, J.* et al.: Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls. Nature, accepted (2019)
4.
Hippich, M. et al.: Genetic contribution to the divergence in type 1 diabetes risk between children from the general population and children from affected families. Diabetes 68, 847-857 (2019)
5.
Kilpeläinen, T.O.* et al.: Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nat. Commun. 10:376 (2019)
6.
Beyerlein, A. et al.: Progression from islet autoimmunity to clinical type 1 diabetes is influenced by genetic factors: Results from the prospective TEDDY study. J. Med. Genet., accepted (2018)
7.
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)
8.
Demenais, F.* et al.: Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks. Nat. Genet. 50, 42-53 (2018)
9.
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)
10.
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)
11.
Norris, J.M.* et al.: Plasma 25-hydroxyvitamin D concentration and risk of islet autoimmunity. Diabetes 67, 146-154 (2018)
12.
Sharma, A.* et al.: Identification of non-HLA genes associated with development of islet autoimmunity and type 1 diabetes in the prospective TEDDY cohort. J. Autoimmun. 89, 90-100 (2018)
13.
van Zuydam, N.R.* et al.: A genome-wide association study of diabetic kidney disease in subjects with type 2 diabetes. Diabetes 67, 1414-1427 (2018)
14.
Hagopian, W.* et al.: Co-occurrence of type 1 diabetes and celiac disease autoimmunity. Pediatrics 140, DOI: 10.1542/peds.2017-1305 (2017)
15.
Wheeler, E.* et al.: Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. PLoS Med. 14:e1002383 (2017)
16.
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)
17.
Sharma, A.* et al.: Identification of non-HLA genes associated with celiac disease and country-specific differences in a large, international pediatric cohort. PLoS ONE 11:e0152476 (2016)
18.
Törn, C.* et al.: Complement gene variants in relation to autoantibodies to beta cell specific antigens and type 1 diabetes in the TEDDY study. Sci. Rep. 6:27887 (2016)
19.
Hadley, D.* et al.: HLA-DPB1*04:01 protects genetically susceptible children from celiac disease autoimmunity in the TEDDY study. Am. J. Gastroenterol. 110, 915-920 (2015)
20.
Holmes, M.V.* et al.: Mendelian randomization of blood lipids for coronary heart disease. Eur. Heart J. 36, 539-550 (2015)