PuSH - Publication Server of Helmholtz Zentrum München

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1.
Erzurumluoglu, A.M.* et al.: Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Mol. Psychiatry, accepted (2019)
2.
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)
3.
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)
4.
Lane, J.M.* et al.: Biological and clinical insights from genetics of insomnia symptoms. Nat. Genet. 51, 387-393 (2019)
5.
Spracklen, C.N.* et al.: Exome-derived adiponectin-associated variants implicate obesity and lipid biology. Am. J. Hum. Genet., accepted (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.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 5:180002 (2018)
8.
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)
9.
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)
10.
Chen, G.B.* et al.: Across-cohort QC analyses of GWAS summary statistics from complex traits. Eur. J. Hum. Genet. 25, 137-146 (2017)
11.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 4:170179 (2017)
12.
Justice, A.E.* et al.: Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat. Commun. 8:14977 (2017)
13.
Liu, D.J.* et al.: Exome-wide association study of plasma lipids in >300,000 individuals. Nat. Genet. 49, 1758-1766 (2017)
14.
Manning, A.* et al.: A low-frequency inactivating Akt2 variant enriched in the Finnish population is associated with fasting insulin levels and type 2 diabetes risk. Diabetes 66, 2019-2032 (2017)
15.
Scott, R.A.* et al.: An expanded genome-wide association study of type 2 diabetes in Europeans. Diabetes 66, 2888-2902 (2017)
16.
Wood, A.R.* et al.: A genome-wide association study of IVGTT-based measures of first-phase insulin secretion refines the underlying physiology of type 2 diabetes variants. Diabetes 66, 2296-2309 (2017)
17.
Fuchsberger, C.* et al.: The genetic architecture of type 2 diabetes. Nature 536, 41-47 (2016)
18.
Horikoshi, M.* et al.: Genome-wide associations for birth weight and correlations with adult disease. Nature 538, 248-252 (2016)
19.
Kanoni, S.* et al.: Analysis with the exome array identifies multiple new independent variants in lipid loci. Hum. Mol. Genet. 25, 4094-4106 (2016)
20.
Kilpeläinen, T.O.* et al.: Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels. Nat. Commun. 7:10494 (2016)