一项剪接转录全联合研究确定了前列腺癌症风险的候选改变剪接。

IF 2.2 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Omics A Journal of Integrative Biology Pub Date : 2023-08-01 Epub Date: 2023-07-25 DOI:10.1089/omi.2023.0065
Yanfa Sun, Ye Eun Bae, Jingjing Zhu, Zichen Zhang, Hua Zhong, Chunmei Cheng, Youping Deng, Chong Wu, Lang Wu
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引用次数: 0

摘要

前列腺癌症(PCa)在男性中是一个巨大的公共卫生负担。前列腺癌的许多易感遗传因素仍然未知。在这项研究中,我们使用三种建模策略进行了一项大型剪接转录组全关联研究(spTWAS),通过评估PRACTICAL、CRUK、CAPS、BPC3和PEGASUS联合体内79194例欧洲血统的病例和61112例对照,开发了用于识别PCa风险的新易感基因座和剪接内含子的替代剪接遗传预测模型。我们鉴定了97个基因的120个剪接内含子,这些内含子在错误发现率(FDR)校正阈值(FDR
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A Splicing Transcriptome-Wide Association Study Identifies Candidate Altered Splicing for Prostate Cancer Risk.

Prostate cancer (PCa) represents a huge public health burden among men. Many susceptibility genetic factors for PCa still remain unknown. In this study, we performed a large splicing transcriptome-wide association study (spTWAS) using three modeling strategies to develop alternative splicing genetic prediction models for identifying novel susceptibility loci and splicing introns for PCa risk by assessing 79,194 cases and 61,112 controls of European ancestry in the PRACTICAL, CRUK, CAPS, BPC3, and PEGASUS consortia. We identified 120 splicing introns of 97 genes showing an association with PCa risk at false discovery rate (FDR)-corrected threshold (FDR <0.05). Of them, 33 genes were enriched in PCa-related diseases and function categories. Fine-mapping analysis suggested that 21 splicing introns of 19 genes were likely causally associated with PCa risk. Thirty-five splicing introns of 34 novel genes were identified to be related to PCa susceptibility for the first time, and 11 of the genes were enriched in a cancer-related network. Our study identified novel loci and splicing introns associated with PCa risk, which can improve our understanding of the etiology of this common malignancy.

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来源期刊
Omics A Journal of Integrative Biology
Omics A Journal of Integrative Biology 生物-生物工程与应用微生物
CiteScore
6.00
自引率
12.10%
发文量
62
审稿时长
3 months
期刊介绍: OMICS: A Journal of Integrative Biology is the only peer-reviewed journal covering all trans-disciplinary OMICs-related areas, including data standards and sharing; applications for personalized medicine and public health practice; and social, legal, and ethics analysis. The Journal integrates global high-throughput and systems approaches to 21st century science from “cell to society” – seen from a post-genomics perspective.
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