Suppr超能文献

跨癌种多效性分析确定了三个新的结直肠癌遗传风险位点。

Cross-cancer pleiotropic analysis identifies three novel genetic risk loci for colorectal cancer.

机构信息

Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China.

Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK.

出版信息

Hum Mol Genet. 2023 Jun 5;32(12):2093-2102. doi: 10.1093/hmg/ddad044.

Abstract

BACKGROUND

To understand the shared genetic basis between colorectal cancer (CRC) and other cancers and identify potential pleiotropic loci for compensating the missing genetic heritability of CRC.

METHODS

We conducted a systematic genome-wide pleiotropy scan to appraise associations between cancer-related genetic variants and CRC risk among European populations. Single nucleotide polymorphism (SNP)-set analysis was performed using data from the UK Biobank and the Study of Colorectal Cancer in Scotland (10 039 CRC cases and 30 277 controls) to evaluate the overlapped genetic regions for susceptibility of CRC and other cancers. The variant-level pleiotropic associations between CRC and other cancers were examined by CRC genome-wide association study meta-analysis and the pleiotropic analysis under composite null hypothesis (PLACO) pleiotropy test. Gene-based, co-expression and pathway enrichment analyses were performed to explore potential shared biological pathways. The interaction between novel genetic variants and common environmental factors was further examined for their effects on CRC.

RESULTS

Genome-wide pleiotropic analysis identified three novel SNPs (rs2230469, rs9277378 and rs143190905) and three mapped genes (PIP4K2A, HLA-DPB1 and RTEL1) to be associated with CRC. These genetic variants were significant expressions quantitative trait loci in colon tissue, influencing the expression of their mapped genes. Significant interactions of PIP4K2A and HLA-DPB1 with environmental factors, including smoking and alcohol drinking, were observed. All mapped genes and their co-expressed genes were significantly enriched in pathways involved in carcinogenesis.

CONCLUSION

Our findings provide an important insight into the shared genetic basis between CRC and other cancers. We revealed several novel CRC susceptibility loci to help understand the genetic architecture of CRC.

摘要

背景

为了了解结直肠癌(CRC)与其他癌症之间的共同遗传基础,并确定潜在的多效性位点来弥补 CRC 遗传缺失的遗传率。

方法

我们进行了系统的全基因组多效性扫描,以评估欧洲人群中与癌症相关的遗传变异与 CRC 风险之间的关联。使用来自英国生物库和苏格兰结直肠癌研究的数据(10039 例 CRC 病例和 30277 例对照)进行 SNP 集分析,以评估 CRC 和其他癌症易感性的重叠遗传区域。通过 CRC 全基因组关联研究荟萃分析和复合零假设下的多效性检验(PLACO)对 CRC 和其他癌症之间的变异水平多效性关联进行了检验。进行了基于基因、共表达和途径富集分析,以探索潜在的共同生物学途径。进一步研究了新型遗传变异与常见环境因素之间的相互作用,以探讨它们对 CRC 的影响。

结果

全基因组多效性分析确定了三个新的 SNP(rs2230469、rs9277378 和 rs143190905)和三个映射基因(PIP4K2A、HLA-DPB1 和 RTEL1)与 CRC 相关。这些遗传变异是结肠组织中显著的表达数量性状基因座,影响其映射基因的表达。观察到 PIP4K2A 和 HLA-DPB1 与环境因素(包括吸烟和饮酒)的显著相互作用。所有映射基因及其共表达基因在参与癌变的途径中显著富集。

结论

我们的研究结果为 CRC 与其他癌症之间的共同遗传基础提供了重要的见解。我们发现了几个新的 CRC 易感性位点,有助于理解 CRC 的遗传结构。

相似文献

6
Shared genetic correlations between kidney diseases and sepsis.肾脏疾病与脓毒症之间的共享遗传相关性。
Front Endocrinol (Lausanne). 2024 Jul 17;15:1396041. doi: 10.3389/fendo.2024.1396041. eCollection 2024.

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验