Scholarlink

Background <p>Despite significant advances made by genome-wide association studies (GWAS) in the genetic exploration of tumors such as thyroid cancer (TC), the precise pathogenic genes and underlying biological mechanisms of TC remain unclear.</p> Methods <p>We performed a transcriptome-wide association study (TWAS) to identify the susceptibility genes for TC. Three complementary methods: FUSION (Functional Summary-based Imputation), FOCUS (Fine-mapping Of CaUsal gene Sets), and Multi-marker Analysis of GenoMic Annotation (MAGMA) were used to validate key gene discoveries. Additionally, MAGMA was used to examine the functional enrichment of single nucleotide polymorphisms (SNPs) associated with TC. Conditional and joint analysis, as well as fine mapping techniques, were employed to deepen our understanding of TC’s genetic architecture. To explore causal relationships, we conducted Mendelian randomization analysis, while colocalization analysis was used to provide potential shared SNPs between key genes and TC risk.</p> Results <p>Through the comprehensive application of three TWAS methods, we identified three potential susceptibility genes closely associated with TC risk. Mendelian randomization analysis provided causal links between the TGFB2, SMAD3 and SDCCAG8 genes and TC. Colocalization analysis further revealed that TGFB2 (rs1764705), SMAD3 (rs17293632), and SDCCAG8 (rs2490395) may share genetic signals between GWAS and expression quantitative trait loci (eQTL), indicating common pathways in TC pathogenesis. The study highlighted differences in the expression of significant genes in normal and thyroid cancer tissues at the transcriptome level and investigated their relationship with the tumor microenvironment.</p> Conclusion <p>This investigation uncovered three new genes associated with increased TC risk, shedding light on the genetic underpinnings of TC and aiding in a deeper comprehension of its complex genetic architecture.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Cross-tissue transcriptome-wide analysis reveals novel insights into thyroid cancer etiology

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月17日

查看全文
  • Yue Zhu,
  • Yu Luo,
  • Yuye Zhang,
  • Yixuan Wang,
  • Zhangqi Gu,
  • Jinyan Liu,
  • Ancheng Qin,
  • Weifeng Qian

摘要

Background

Despite significant advances made by genome-wide association studies (GWAS) in the genetic exploration of tumors such as thyroid cancer (TC), the precise pathogenic genes and underlying biological mechanisms of TC remain unclear.

Methods

We performed a transcriptome-wide association study (TWAS) to identify the susceptibility genes for TC. Three complementary methods: FUSION (Functional Summary-based Imputation), FOCUS (Fine-mapping Of CaUsal gene Sets), and Multi-marker Analysis of GenoMic Annotation (MAGMA) were used to validate key gene discoveries. Additionally, MAGMA was used to examine the functional enrichment of single nucleotide polymorphisms (SNPs) associated with TC. Conditional and joint analysis, as well as fine mapping techniques, were employed to deepen our understanding of TC’s genetic architecture. To explore causal relationships, we conducted Mendelian randomization analysis, while colocalization analysis was used to provide potential shared SNPs between key genes and TC risk.

Results

Through the comprehensive application of three TWAS methods, we identified three potential susceptibility genes closely associated with TC risk. Mendelian randomization analysis provided causal links between the TGFB2, SMAD3 and SDCCAG8 genes and TC. Colocalization analysis further revealed that TGFB2 (rs1764705), SMAD3 (rs17293632), and SDCCAG8 (rs2490395) may share genetic signals between GWAS and expression quantitative trait loci (eQTL), indicating common pathways in TC pathogenesis. The study highlighted differences in the expression of significant genes in normal and thyroid cancer tissues at the transcriptome level and investigated their relationship with the tumor microenvironment.

Conclusion

This investigation uncovered three new genes associated with increased TC risk, shedding light on the genetic underpinnings of TC and aiding in a deeper comprehension of its complex genetic architecture.