Institute for Bioinnovation, Biomedical Sciences Research Center 'Alexander Fleming', Vari, Greece.
Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece.
BMC Genomics. 2023 Aug 5;24(1):442. doi: 10.1186/s12864-023-09532-w.
Expression quantitative trait loci (eQTL) studies provide insights into regulatory mechanisms underlying disease risk. Expanding studies of gene regulation to underexplored populations and to medically relevant tissues offers potential to reveal yet unknown regulatory variants and to better understand disease mechanisms. Here, we performed eQTL mapping in subcutaneous (S) and visceral (V) adipose tissue from 106 Greek individuals (Greek Metabolic study, GM) and compared our findings to those from the Genotype-Tissue Expression (GTEx) resource.
We identified 1,930 and 1,515 eGenes in S and V respectively, over 13% of which are not observed in GTEx adipose tissue, and that do not arise due to different ancestry. We report additional context-specific regulatory effects in genes of clinical interest (e.g. oncogene ST7) and in genes regulating responses to environmental stimuli (e.g. MIR21, SNX33). We suggest that a fraction of the reported differences across populations is due to environmental effects on gene expression, driving context-specific eQTLs, and suggest that environmental effects can determine the penetrance of disease variants thus shaping disease risk. We report that over half of GM eQTLs colocalize with GWAS SNPs and of these colocalizations 41% are not detected in GTEx. We also highlight the clinical relevance of S adipose tissue by revealing that inflammatory processes are upregulated in individuals with obesity, not only in V, but also in S tissue.
By focusing on an understudied population, our results provide further candidate genes for investigation regarding their role in adipose tissue biology and their contribution to disease risk and pathogenesis.
表达数量性状基因座 (eQTL) 研究为疾病风险的调控机制提供了深入的了解。将基因调控研究扩展到探索不足的人群和与医学相关的组织中,有潜力揭示尚未被发现的调控变异,并更好地了解疾病机制。在这里,我们对来自 106 名希腊个体(希腊代谢研究,GM)的皮下(S)和内脏(V)脂肪组织进行了 eQTL 图谱绘制,并将我们的发现与 Genotype-Tissue Expression (GTEx) 资源进行了比较。
我们分别在 S 和 V 中鉴定出 1930 个和 1515 个 eGenes,其中超过 13%的基因在 GTEx 脂肪组织中未被观察到,也不是由于不同的祖源引起的。我们报告了更多在临床相关基因(例如癌基因 ST7)和调节对环境刺激反应的基因(例如 MIR21、SNX33)中特有的调控效应。我们认为,报告的人群之间的差异部分归因于基因表达的环境效应,驱动了特有的 eQTL,并且表明环境效应可以决定疾病变异的表现度,从而塑造疾病风险。我们报告说,超过一半的 GM eQTL 与 GWAS SNPs 共定位,其中 41%在 GTEx 中未被检测到。我们还通过揭示肥胖个体的炎症过程不仅在 V 组织中,而且在 S 组织中上调,强调了 S 脂肪组织的临床相关性。
通过关注一个研究不足的人群,我们的结果提供了更多的候选基因,以研究它们在脂肪组织生物学中的作用及其对疾病风险和发病机制的贡献。