Aga Heja, Hallahan Nicole, Gottmann Pascal, Jaehnert Markus, Osburg Sophie, Schulze Gunnar, Kamitz Anne, Arends Danny, Brockmann Gudrun, Schallschmidt Tanja, Lebek Sandra, Chadt Alexandra, Al-Hasani Hadi, Joost Hans-Georg, Schürmann Annette, Vogel Heike
Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbrücke, Potsdam, Germany.
German Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Front Genet. 2020 Sep 30;11:567191. doi: 10.3389/fgene.2020.567191. eCollection 2020.
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), on 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 β-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 (, , , and ) 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 QTL . Future studies are necessary to understand the exact role of the different candidates in β-cell function and their contribution in maintaining glycemic control.
2型糖尿病(T2D)是一种复杂的代谢性疾病,受遗传易感性和环境因素相互作用的调节。为了解糖尿病发生过程中的遗传作用,将疾病易感性不同的小鼠与肥胖且易患糖尿病的新西兰肥胖(NZO)小鼠进行杂交。随后的全基因组序列扫描显示,4号染色体上有一个主要的数量性状基因座(QTL),与血糖升高、血浆胰岛素降低以及胰腺胰岛素水平低有关。携带13.6 Mbp DBA小鼠关键片段的近交系小鼠在第10周表现出严重的高血糖和葡萄糖清除受损,在第13周葡萄糖反应降低,在第16周β细胞和胰腺胰岛素丧失。为了确定致病基因变异,又培育了更多的近交系小鼠并进行表型分析,结果得到一个3.3 Mbp的片段,足以诱发高血糖。通过结合转录组分析和单倍型图谱,潜在致病变异的数量从最初的284个减少到18个基因,包括基因模型和非编码RNA。考虑单倍型模块后,候选基因数量减少到4个(、、和),作为潜在的T2D候选基因,因为它们在胰岛中表现出差异表达和/或序列变异。总之,整合多个近交群体的比较分析,如单倍型图谱、转录组学和序列数据,显著提高了糖尿病QTL的定位分辨率。未来有必要开展研究,以了解不同候选基因在β细胞功能中的具体作用及其在维持血糖控制中的贡献。