TY - GEN A1 - Schwerbel, Kristin A1 - Kamitz, Anne A1 - Jaehnert, Markus A1 - Gottmann, P. A1 - Schumacher, Fabian A1 - Kleuser, Burkhard A1 - Haltenhof, T. A1 - Heyd, F. A1 - Roden, Michael A1 - Chadt, Alexandra A1 - Al-Hasani, Hadi A1 - Jonas, W. A1 - Vogel, Heike A1 - Schürmann, Annette T1 - Two immune-related GTPases prevent from hepatic fat accumulation by inducing autophagy T2 - Diabetologia : journal of the European Association for the Study of Diabetes (EASD) Y1 - 2018 SN - 0012-186X SN - 1432-0428 VL - 61 SP - S259 EP - S259 PB - Springer CY - New York ER - TY - JOUR A1 - Aga-Barfknecht, Heja A1 - Hallahan, Nicole A1 - Gottmann, Pascal A1 - Jähnert, Markus A1 - Osburg, Sophie A1 - Schulze, Gunnar A1 - Kamitz, Anne A1 - Arends, Danny A1 - Brockmann, Gudrun A1 - Schallschmidt, Tanja A1 - Lebek, Sandra A1 - Chadt, Alexandra A1 - Al-Hasani, Hadi A1 - Joost, Hans-Georg A1 - Schürmann, Annette A1 - Vogel, Heike T1 - Identification of novel potential type 2 diabetes genes mediating beta-cell loss and hyperglycemia using positional cloning JF - Frontiers in genetics N2 - Type 2 diabetes (T2D) is a complex metabolic disease regulated by an interaction of genetic predisposition and environmental factors. To understand the genetic contribution in the development of diabetes, mice varying in their disease susceptibility were crossed with the obese and diabetes-prone New Zealand obese (NZO) mouse. Subsequent whole-genome sequence scans revealed one major quantitative trait loci (QTL),Nidd/DBAon chromosome 4, linked to elevated blood glucose and reduced plasma insulin and low levels of pancreatic insulin. Phenotypical characterization of congenic mice carrying 13.6 Mbp of the critical fragment of DBA mice displayed severe hyperglycemia and impaired glucose clearance at week 10, decreased glucose response in week 13, and loss of beta-cells and pancreatic insulin in week 16. To identify the responsible gene variant(s), further congenic mice were generated and phenotyped, which resulted in a fragment of 3.3 Mbp that was sufficient to induce hyperglycemia. By combining transcriptome analysis and haplotype mapping, the number of putative responsible variant(s) was narrowed from initial 284 to 18 genes, including gene models and non-coding RNAs. Consideration of haplotype blocks reduced the number of candidate genes to four (Kti12,Osbpl9,Ttc39a, andCalr4) as potential T2D candidates as they display a differential expression in pancreatic islets and/or sequence variation. In conclusion, the integration of comparative analysis of multiple inbred populations such as haplotype mapping, transcriptomics, and sequence data substantially improved the mapping resolution of the diabetes QTLNidd/DBA. Future studies are necessary to understand the exact role of the different candidates in beta-cell function and their contribution in maintaining glycemic control. KW - type 2 diabetes KW - beta-cell loss KW - insulin KW - positional cloning KW - transcriptomics KW - haplotype Y1 - 2020 U6 - https://doi.org/10.3389/fgene.2020.567191 SN - 1664-8021 VL - 11 PB - Frontiers Media CY - Lausanne ER - TY - JOUR A1 - Jonas, Wenke A1 - Kluth, Oliver A1 - Helms, Anett A1 - Voss, Sarah A1 - Jahnert, Markus A1 - Gottmann, Pascal A1 - Speckmann, Thilo A1 - Knebel, Birgit A1 - Chadt, Alexandra A1 - Al-Hasani, Hadi A1 - Schürmann, Annette A1 - Vogel, Heike T1 - Identification of novel genes involved in hyperglycemia in mice JF - International journal of molecular sciences N2 - Current attempts to prevent and manage type 2 diabetes have been moderately effective, and a better understanding of the molecular roots of this complex disease is important to develop more successful and precise treatment options. Recently, we initiated the collective diabetes cross, where four mouse inbred strains differing in their diabetes susceptibility were crossed with the obese and diabetes-prone NZO strain and identified the quantitative trait loci (QTL) Nidd13/NZO, a genomic region on chromosome 13 that correlates with hyperglycemia in NZO allele carriers compared to B6 controls. Subsequent analysis of the critical region, harboring 644 genes, included expression studies in pancreatic islets of congenic Nidd13/NZO mice, integration of single-cell data from parental NZO and B6 islets as well as haplotype analysis. Finally, of the five genes (Acot12, S100z, Ankrd55, Rnf180, and Iqgap2) within the polymorphic haplotype block that are differently expressed in islets of B6 compared to NZO mice, we identified the calcium-binding protein S100z gene to affect islet cell proliferation as well as apoptosis when overexpressed in MINE cells. In summary, we define S100z as the most striking gene to be causal for the diabetes QTL Nidd13/NZO by affecting beta-cell proliferation and apoptosis. Thus, S100z is an entirely novel diabetes gene regulating islet cell function. KW - beta-cell KW - diabetes KW - proliferation KW - apoptosis KW - QTL Y1 - 2022 U6 - https://doi.org/10.3390/ijms23063205 SN - 1661-6596 SN - 1422-0067 VL - 23 IS - 6 PB - MDPI CY - Basel ER - TY - THES A1 - Chadt, Alexandra T1 - Functional characterization of a novel candidate gene for obesity, Tbc 1d1 Y1 - 2009 CY - Potsdam ER - TY - JOUR A1 - Vogel, Heike A1 - Kamitz, Anne A1 - Hallahan, Nicole A1 - Lebek, Sandra A1 - Schallschmidt, Tanja A1 - Jonas, Wenke A1 - Jähnert, Markus A1 - Gottmann, Pascal A1 - Zellner, Lisa A1 - Kanzleiter, Timo A1 - Damen, Mareike A1 - Altenhofen, Delsi A1 - Burkhardt, Ralph A1 - Renner, Simone A1 - Dahlhoff, Maik A1 - Wolf, Eckhard A1 - Müller, Timo Dirk A1 - Blüher, Matthias A1 - Joost, Hans-Georg A1 - Chadt, Alexandra A1 - Al-Hasani, Hadi A1 - Schürmann, Annette T1 - A collective diabetes cross in combination with a computational framework to dissect the genetics of human obesity and Type 2 diabetes JF - Human molecular genetics N2 - To explore the genetic determinants of obesity and Type 2 diabetes (T2D), the German Center for Diabetes Research (DZD) conducted crossbreedings of the obese and diabetes-prone New Zealand Obese mouse strain with four different lean strains (B6, DBA, C3H, 129P2) that vary in their susceptibility to develop T2D. Genome-wide linkage analyses localized more than 290 quantitative trait loci (QTL) for obesity, 190 QTL for diabetes-related traits and 100 QTL for plasma metabolites in the out-cross populations. A computational framework was developed that allowed to refine critical regions and to nominate a small number of candidate genes by integrating reciprocal haplotype mapping and transcriptome data. The efficiency of the complex procedure was demonstrated for one obesity QTL. The genomic interval of 35 Mb with 502 annotated candidate genes was narrowed down to six candidates. Accordingly, congenic mice retained the obesity phenotype owing to an interval that contains three of the six candidate genes. Among these the phospholipase PLA2G4A exhibited an elevated expression in adipose tissue of obese human subjects and is therefore a critical regulator of the obesity locus. Together, our broad and complex approach demonstrates that combined- and comparative-cross analysis exhibits improved mapping resolution and represents a valid tool for the identification of disease genes. Y1 - 2018 U6 - https://doi.org/10.1093/hmg/ddy217 SN - 0964-6906 SN - 1460-2083 VL - 27 IS - 17 SP - 3099 EP - 3112 PB - Oxford Univ. Press CY - Oxford ER -