Farashi Samaneh, Kryza Thomas, Batra Jyotsna
School of Biomedical Sciences and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD 4059, Australia.
Translational Research Institute, 37 Kent Street, Woolloongabba, QLD 4102, Australia.
Genes (Basel). 2020 May 8;11(5):526. doi: 10.3390/genes11050526.
Understanding the functional role of risk regions identified by genome-wide association studies (GWAS) has made considerable recent progress and is referred to as the post-GWAS era. Annotation of functional variants to the genes, including or and understanding their biological pathway/gene network enrichments, is expected to give rich dividends by elucidating the mechanisms underlying prostate cancer. To this aim, we compiled and analysed currently available post-GWAS data that is validated through further studies in prostate cancer, to investigate molecular biological pathways enriched for assigned functional genes. In total, about 100 canonical pathways were significantly, at false discovery rate (FDR)< 0.05), enriched in assigned genes using different algorithms. The results have highlighted some well-known cancer signalling pathways, antigen presentation processes and enrichment in cell growth and development gene networks, suggesting risk loci may exert their functional effect on prostate cancer by acting through multiple gene sets and pathways. Additional upstream analysis of the involved genes identified critical transcription factors such as HDAC1 and STAT5A. We also investigated the common genes between post-GWAS and three well-annotated gene expression datasets to endeavour to uncover the main genes involved in prostate cancer development/progression. Post-GWAS generated knowledge of gene networks and pathways, although continuously evolving, if analysed further and targeted appropriately, will have an important impact on clinical management of the disease.
了解全基因组关联研究(GWAS)所确定的风险区域的功能作用在近期已取得了显著进展,这一阶段被称为GWAS后时代。对基因的功能变异进行注释,包括[具体变异情况未给出]并了解其生物途径/基因网络富集情况,有望通过阐明前列腺癌的潜在机制而带来丰厚回报。为此,我们收集并分析了目前可获得的经前列腺癌进一步研究验证的GWAS后数据,以研究分配的功能基因所富集的分子生物学途径。使用不同算法,总共约有100条经典途径在错误发现率(FDR)<0.05时在分配的基因中显著富集。结果突出了一些众所周知的癌症信号通路、抗原呈递过程以及细胞生长和发育基因网络中的富集情况,表明风险位点可能通过多个基因集和途径发挥其对前列腺癌的功能作用。对所涉及基因的进一步上游分析确定了关键转录因子,如HDAC1和STAT5A。我们还研究了GWAS后数据与三个注释良好的基因表达数据集之间的共同基因,以努力揭示参与前列腺癌发生/进展的主要基因。GWAS后产生的基因网络和途径知识,尽管仍在不断发展,但如果进一步分析并适当靶向,将对该疾病的临床管理产生重要影响。