ArticleJournal of diabetes research2013
Identifying candidate genes for Type 2 Diabetes Mellitus and obesity through gene expression profiling in multiple tissues or cells.
Article in Journal of diabetes research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.
- Shared genetic architectures of subjective well-being in East Asian and European ancestry populations.Nature human behaviour · 2022Pooled it
- Cross-phenotype integration of eQTL-based Mendelian randomization and transcriptomics prioritizesFrontiers in immunology · 2026Article
- Identification of novel type 1 and type 2 diabetes genes by co-localization of human islet eQTL and GWAS variants with colocRedRibbon.Cell genomics · 2025Article
- Transcriptomics of Subcutaneous Tissue of Lipedema Identified Differentially Expressed Genes Involved in Adipogenesis, Inflammation, and Pain.Plastic and reconstructive surgery. Global open · 2024Article
- Bioinformatics analysis and validation of CSRNP1 as a key prognostic gene in non-small cell lung cancer.Heliyon · 2024Article
- The effects of exercise on microRNA expression profiling in adipose tissue macrophages of mice.Frontiers in immunology · 2024Article
- Diagnostic model based on key autophagy-related genes in intervertebral disc degeneration.BMC musculoskeletal disorders · 2023Article
- Thyroid function, sensitivity to thyroid hormones, and metabolic syndrome in euthyroid children and adolescents with Down syndrome.Journal of endocrinological investigation · 2023Article
- A novel extrachromosomal circular DNA related genes signature for overall survival prediction in patients with ovarian cancer.BMC medical genomics · 2023Article
- Research progress on branched-chain amino acid aminotransferases.Frontiers in genetics · 2023Review
- DNA methylation and waist-to-hip ratio: an epigenome-wide association study in Chinese monozygotic twins.Journal of endocrinological investigation · 2022Article
- LncRNA LYPLAL1-DT screening from type 2 diabetes with macrovascular complication contributes protective effects on human umbilical vein endothelial cells via regulating the miR-204-5p/SIRT1 axis.Cell death discovery · 2022Article
- Article
- A Genetic Polymorphism in theFrontiers in genetics · 2022Article
- Genetics of type 2 diabetes mellitus in Indian and Global Population: A Review.The Egyptian journal of medical human genetics · 2022Review
- A nexus of miR-1271, PAX4 and ALK/RYK influences the cytoskeletal architectures in Alzheimer's Disease and Type 2 Diabetes.The Biochemical journal · 2021Article
- Screening and identification of Theileria annulata subtelomere-encoded variable secreted protein-950454 (SVSP454) interacting proteins from bovine B cells.Parasites & vectors · 2021Article
- TheFrontiers in oncology · 2021Article
- DNA methylation in promoter regions of genes involved in the reproductive and metabolic function of children born to women with PCOS.Epigenetics · 2020Article
- Identification of potential markers for type 2 diabetes mellitus via bioinformatics analysis.Molecular medicine reports · 2020Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Type 2 Diabetes Mellitus (T2DM) and obesity have become increasingly prevalent in recent years. Recent studies have focused on identifying causal variations or candidate genes for obesity and T2DM via analysis of expression quantitative trait loci (eQTL) within a single tissue. T2DM and obesity are affected by comprehensive sets of genes in multiple tissues. In the current study, gene expression levels in multiple human tissues from GEO datasets were analyzed, and 21 candidate genes displaying high percentages of differential expression were filtered out. Specifically, DENND1B, LYN, MRPL30, POC1B, PRKCB, RP4-655J12.3, HIBADH, and TMBIM4 were identified from the T2DM-control study, and BCAT1, BMP2K, CSRNP2, MYNN, NCKAP5L, SAP30BP, SLC35B4, SP1, BAP1, GRB14, HSP90AB1, ITGA5, and TOMM5 were identified from the obesity-control study. The majority of these genes are known to be involved in T2DM and obesity. Therefore, analysis of gene expression in various tissues using GEO datasets may be an effective and feasible method to determine novel or causal genes associated with T2DM and obesity.
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