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

被引:8
|
作者
Tang, Haibo [1 ]
Wang, Jie [2 ]
Deng, Peizhi [2 ]
Li, Yalan [2 ]
Cao, Yaoquan [1 ]
Yi, Bo [1 ]
Zhu, Liyong [1 ]
Zhu, Shaihong [1 ]
Lu, Yao [2 ,3 ]
机构
[1] Cent South Univ, Xiangya Hosp 3, Dept Metab & Bariatr Surg, Changsha, Peoples R China
[2] Cent South Univ, Xiangya Hosp 3, Clin Res Ctr, Changsha, Peoples R China
[3] Kings Coll London, Sch Life Course Sci, London, England
基金
中国国家自然科学基金;
关键词
Candidate genes; Causal inference; Mendelian randomisation; Transcriptome-wide association study; Type; 2; diabetes; Visceral adipose tissue; FAT DEPOSITION; OBESITY; SUSCEPTIBILITY; GENETICS; LOCI;
D O I
10.1007/s00125-023-05978-5
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aims/hypothesis 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.Methods 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.Results 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.Conclusions/interpretation 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.
引用
收藏
页码:2087 / 2100
页数:14
相关论文
共 50 条
  • [21] Transcriptome-Wide Association Study for Inflammatory Bowel Disease Reveals Novel Candidate Susceptibility Genes in Specific Colon Subsites and Tissue Categories
    Diez-Obrero, Virginia
    Moratalla-Navarro, Ferran
    Ibanez-Sanz, Gemma
    Guardiola, Jordi
    Rodriguez-Moranta, Francisco
    Obon-Santacana, Mireia
    Diez-Villanueva, Anna
    Heaton Dampier, Christopher
    Devall, Matthew
    Carreras-Torres, Robert
    Casey, Graham
    Moreno, Victor
    JOURNAL OF CROHNS & COLITIS, 2022, 16 (02): : 275 - 285
  • [22] A cross-tissue transcriptome-wide association study identifies new susceptibility genes for benign prostatic hyperplasia
    Wang, Li
    Chen, Si-yu
    Yang, Jian-wei
    Wang, Kang-yu
    Li, Kun-peng
    Wan, Shun
    Li, Xiao-ran
    Yang, Li
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [23] Identifying and Exploring the Candidate Susceptibility Genes of Cirrhosis Using the Multi-Tissue Transcriptome-Wide Association Study
    Zhu, Xiao-Bo
    Hou, Yu-Qing
    Ye, Xiang-Yu
    Zou, Yi-Xin
    Xia, Xue-Shan
    Yang, Sheng
    Huang, Peng
    Yu, Rong-Bin
    FRONTIERS IN GENETICS, 2022, 13
  • [24] Trans-ancestry transcriptome-wide association study to uncover novel susceptibility genes and therapeutic targets for colorectal cancer
    Wang, Lijuan
    Hu, Lidan
    Sun, Jing
    Zhao, Jianhui
    Yu, Lili
    Hu, Yeting
    Zhou, Dan
    He, Yazhou
    Meng, Xiangrui
    Yuan, Zhongshang
    Timofeeva, Maria
    Farrington, Susan
    Little, Julian
    Zhang, Honghe
    Ding, Kefeng
    Zheng, Wei
    Dunlop, Malcolm
    Theodoratou, Evropi
    Li, Xue
    GUT, 2023, 72 (SUPPL_2) : A25 - A25
  • [25] Exploring potential causal genetic variants and genes for endometrial cancer: Open Targets Genetics, Mendelian randomization, and multi-tissue transcriptome-wide association analysis
    Zhang, Guorui
    Mao, Su
    Yuan, Guangwei
    Wang, Yang
    Yang, Jingyun
    Dai, Yuxin
    TRANSLATIONAL CANCER RESEARCH, 2024, 13 (11)
  • [26] Transcriptome-wide association study and Mendelian randomization in pancreatic cancer identifies fi es susceptibility genes and causal relationships with type 2 diabetes and venous thromboembolism
    Tan, Marcus C. B.
    Isom, Chelsea A.
    Liu, Yangzi
    Tregouet, David-Alexandre
    Wu, Lang
    Zhou, Dan
    Gamazon, Eric R.
    EBIOMEDICINE, 2024, 106
  • [27] A cross-tissue transcriptome-wide association study identifies WDPCP as a potential susceptibility gene for coronary atherosclerosis
    Hu, Xinyue
    Chen, Guanglei
    Yang, Xiaofang
    Cui, Jin
    Zhang, Ning
    ATHEROSCLEROSIS PLUS, 2024, 58 : 59 - 74
  • [28] A cross-tissue transcriptome-wide association study identified susceptibility genes for age-related macular degeneration
    Yang, Hongfan
    Huang, Haofei
    Pu, Kunlin
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [29] Using multi-tissue transcriptome-wide association study to identify candidate susceptibility genes for respiratory infectious diseases
    Zhu, Xiaobo
    Zou, Yixin
    Jia, Linna
    Ye, Xiangyu
    Zou, Yanzheng
    Tu, Junlan
    Li, Juntong
    Yu, Rongbin
    Yang, Sheng
    Huang, Peng
    FRONTIERS IN GENETICS, 2023, 14
  • [30] A cross-tissue transcriptome-wide association study identifies novel susceptibility genes for lung cancer in Chinese populations
    Zhu, Meng
    Fan, Jingyi
    Zhang, Chang
    Xu, Jing
    Yin, Rong
    Zhang, Erbao
    Wang, Yuzhuo
    Ji, Mengmeng
    Sun, Qi
    Dai, Juncheng
    Jin, Guangfu
    Chen, Liang
    Xu, Lin
    Hu, Zhibin
    Ma, Hongxia
    Shen, Hongbing
    HUMAN MOLECULAR GENETICS, 2021, 30 (17) : 1666 - 1676