Transcriptome‐Wide Association Study Identified Novel Blood Tissue Gene Biomarkers for Prostate Cancer Risk

前列腺癌 生物 基因 转录组 前列腺 候选基因 遗传关联 遗传学 癌症 单核苷酸多态性 基因表达 基因型
作者
Yanfa Sun,Jingjing Zhu,Hua Zhong,Zichen Zhang,Fubo Wang,Akira Nakamura,Yanhui Liu,Jiawen Liu,Jie Yu,Guanghua Zeng,Xin Lin,Dan Zhou,Chong Wu,Liang Wang,Youping Deng,Lang Wu
出处
期刊:The Prostate [Wiley]
卷期号:85 (6): 567-579 被引量:1
标识
DOI:10.1002/pros.24859
摘要

ABSTRACT Objective A number of susceptibility genes in prostate tissue have been identified to be associated with prostate cancer (PCa) risk. However, the reported genes based on assessing prostate tissue could not fully explain PCa genetic susceptibility. It is believed that genes functioning in the immune system may fill in the gap of some missing heritability. Methods To study potential susceptibility genes acting in such pathways, we performed a transcriptome‐wide association study (TWAS) of 79,194 PCa cases and 61,112 control of European ancestry by using three sets of gene expression prediction models of blood tissue. Results A total of 470 genes were associated at false discovery rates‐corrected p ‐value < 0.05, of which 51 were implicated as likely causal genes based on fine‐mapping analysis. Compared with previous literature, 133 novel genes were reported for the first time. Of the identified genes, five ( CREB3L4 , GSTP1 , MAPK3 , NKX3‐ 1, and PIK3C2B ) were enriched in a PCa signaling pathway, and 128 genes were enriched in five PCa categories. Importantly, 13 genes ( SCP2 , LMNA , ZNF148 , H2AFV , TACC1 , FLII , SUPT4H1 , CD300LF , MYO9B , COX6B1 , CTSA , EP300 , and TSPO ) showed consistent effect directions for the measured levels in circulating immune cells between PCa cases and controls, and 14 genes ( SLC39A1 , ZBTB7B , TRIM59 , NCEH1 , N4BP2 , TAGAP , TACC1 , TRAF1 , AIP , SECTM1 , C18orf54 , ZNF793 , YIF1B , and TSPO ) showed consistency for levels in blood exosomes between PCa patients and controls. Conclusion The identified blood‐based candidate susceptibility genes provide further insights into the genetic basis of PCa risk.
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