Transcriptome-wide association study-derived genes as potential visceral adipose tissue-specific targets for type 2 diabetes

2型糖尿病 全基因组关联研究 转录组 生物 候选基因 基因 遗传学 脂肪组织 孟德尔随机化 计算生物学 遗传关联 糖尿病 生物信息学 内分泌学 基因型 基因表达 单核苷酸多态性 遗传变异
作者
Huiqin Tang,Jie Wang,Peizhi Deng,Yalan Li,Yaoquan Cao,Bo Yi,Liyong Zhu,Shaihong Zhu,Yao Lu
出处
期刊:Diabetologia [Springer Science+Business Media]
卷期号:66 (11): 2087-2100
标识
DOI:10.1007/s00125-023-05978-5
摘要

This study aimed to assess the causal relationship between visceral obesity and type 2 diabetes and subsequently to screen visceral adipose tissue (VAT)-specific targets for type 2 diabetes.We examined the causal relationship between VAT and type 2 diabetes using bidirectional Mendelian randomisation (MR) followed by multivariable MR. We conducted a transcriptome-wide association study (TWAS) leveraging prediction models and a large-scale type 2 diabetes genome-wide association study (74,124 cases and 824,006 controls) to identify candidate genes in VAT and used summary-data-based MR (SMR) and co-localisation analysis to map causal genes. We performed enrichment and single-cell RNA-seq analyses to determine the cell-specific localisation of the TWAS-identified genes. We also conducted knockdown experiments in 3T3-L1 pre-adipocytes.MR analyses showed a causal relationship between genetically increased VAT mass and type 2 diabetes (inverse-variance weighted OR 2.48 [95% CI 2.21, 2.79]). Ten VAT-specific candidate genes were associated with type 2 diabetes after Bonferroni correction, including five causal genes supported by SMR and co-localisation: PABPC4 (1p34.3); CCNE2 (8q22.1); HAUS6 (9p22.1); CWF19L1 (10q24.31); and CCDC92 (12q24.31). Combined with enrichment analyses, clarifying cell-type specificity with single-cell RNA-seq data indicated that most TWAS-identified candidate genes appear more likely to be associated with adipocytes in VAT. Knockdown experiments suggested that Pabpc4 likely contributes to regulating differentiation and energy metabolism in 3T3-L1 adipocytes.Our findings provide new insights into the genetic basis and biological processes of the association between VAT accumulation and type 2 diabetes and warrant investigation through further functional studies to validate these VAT-specific candidate genes.

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