Type 2 Diabetes Mellitus (T2DM) and obesity have become increasingly prevalent in recent years. Recent studies have focused\r\non identifying causal variations or candidate genes for obesity and T2DM via analysis of expression quantitative trait loci (eQTL)\r\nwithin a single tissue. T2DMand obesity are affected by comprehensive sets of genes in multiple tissues. In the current study, gene\r\nexpression levels in multiple human tissues from GEO datasets were analyzed, and 21 candidate genes displaying high percentages\r\nof differential expression were filtered out. Specifically, DENND1B, LYN, MRPL30, POC1B, PRKCB, RP4-655J12.3, HIBADH, and\r\nTMBIM4 were identified from the T2DM-control study, and BCAT1, BMP2K, CSRNP2, MYNN, NCKAP5L, SAP30BP, SLC35B4,\r\nSP1, BAP1, GRB14, HSP90AB1, ITGA5, and TOMM5 were identified fromthe obesity-control study.The majority of these genes are\r\nknown to be involved in T2DM and obesity.Therefore, analysis of gene expression in various tissues using GEO datasets may be\r\nan effective and feasible method to determine novel or causal genes associated with T2DM and obesity.
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