Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C

NIAID Data Ecosystem2026-05-02 收录

2型糖尿病风险基因

Capture-C染色质构象分析

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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE262484 数据链接链接失效反馈

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This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

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2024-10-28

Additional file 3 of Identification of biomarkers and mechanism exploration of ferroptosis related genes regulated by m6A in type 2 diabetes mellitus

2型糖尿病风险基因

铁死亡机制

Supplementary Material 3: Supplement Table 3 The 8 Gene Ontology (GO), Biological Process (BP) terms, and 17 GO Molecular Function (MF) terms were enriched for 10 differentially expressed m6A-FRGs (DE

DataCite Commons2025-02-19 更新70

Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C. Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C

2型糖尿病风险基因

细胞代谢模型

This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series

NIAID Data Ecosystem40

Pancreatic progenitor epigenome maps prioritize type 2 diabetes risk genes with roles in development. Pancreatic progenitor epigenome maps prioritize type 2 diabetes risk genes with roles in development

2型糖尿病风险基因

发育表观遗传学

Genetic variants associated with type 2 diabetes (T2D) risk affect gene regulation in metabolically relevant tissues, such as pancreatic islets. Here, we investigated contributions of regulatory progr

NIAID Data Ecosystem30

Meta-Analysis of TNF 308 G/A Polymorphism and Type 2 Diabetes Mellitus

遗传流行病学

2型糖尿病风险基因

Background and ObjectivesMany investigations have focused the association between TNF 308 G/A polymorphism and risk for type 2 diabetes mellitus (T2DM). However, the sample sizes of most of the studie

Figshare2016-01-18 更新40

The Association between HMGA1 rs146052672 Variant and Type 2 Diabetes: A Transethnic Meta-Analysis

遗传流行病学

2型糖尿病风险基因

The high-mobility group A1 (HMGA1) gene has been previously identified as a potential novel candidate gene for susceptibility to insulin resistance and type 2 diabetes (T2D) mellitus. For this reason,

NIAID Data Ecosystem30

Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C

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