ArticleFrontiers in genetics2022
Comprehensive analysis of epigenomics and transcriptome data to identify potential target genes associated with obesity.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A genome-wide cross-trait analysis identifies shared loci and causal relationships of obesity and lipidemic traits with psoriasis.Frontiers in immunology · 2024Pooled it
- BMI-genome interactions regulate global gene expression with emphasis in brain and gut.Cell genomics · 2026Article
- Unraveling Obesity: A Five-Year Integrative Review of Transcriptomic Data.International journal of molecular sciences · 2025Review
- Bioinformatics Identification and Experimental Validation of a Prognostic Model for the Survival of Lung Squamous Cell Carcinoma Patients.Biochemical genetics · 2025Article
- Network Pharmacology-Based Identification of Key Targets of Ziyin Mingmu Pills Acting on Age-Related Macular Degeneration.Evidence-based complementary and alternative medicine : eCAM · 2023Article
Corrections and comments
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Authors and funding
13 authors.
Funding
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Abstract
DNA methylation is closely related to the occurrence and development of many diseases, but its role in obesity is still unclear. This study aimed to find the potential differentially methylated genes associated with obesity occurrence and development. By combining methylation and transcriptome analysis, we identified the key genes in adipose tissue affecting the occurrence and development of obesity and revealed the possible molecular mechanisms involved in obesity pathogenesis. We first screened 14 methylation-related differential genes and verified their expression in adipose tissue by quantitative polymerase chain reaction (qPCR). Seven genes with the same expression pattern were identified as key genes, namely,
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