Version 1
: Received: 3 September 2019 / Approved: 4 September 2019 / Online: 4 September 2019 (14:13:15 CEST)
How to cite:
Farashi, S.; Kryza, T.; Batra, J. Pathway analysis of genes identified through Post-GWAS to understand prostate cancer aetiology. Preprints2019, 2019090045. https://doi.org/10.20944/preprints201909.0045.v1
Farashi, S.; Kryza, T.; Batra, J. Pathway analysis of genes identified through Post-GWAS to understand prostate cancer aetiology. Preprints 2019, 2019090045. https://doi.org/10.20944/preprints201909.0045.v1
Farashi, S.; Kryza, T.; Batra, J. Pathway analysis of genes identified through Post-GWAS to understand prostate cancer aetiology. Preprints2019, 2019090045. https://doi.org/10.20944/preprints201909.0045.v1
APA Style
Farashi, S., Kryza, T., & Batra, J. (2019). Pathway analysis of genes identified through Post-GWAS to understand prostate cancer aetiology. Preprints. https://doi.org/10.20944/preprints201909.0045.v1
Chicago/Turabian Style
Farashi, S., Thomas Kryza and Jyotsna Batra. 2019 "Pathway analysis of genes identified through Post-GWAS to understand prostate cancer aetiology" Preprints. https://doi.org/10.20944/preprints201909.0045.v1
Abstract
Understanding the role of risk regions identified by genome-wide association studies (GWAS) have made considerable progress lately referred to the post-GWAS era. Annotation of the genes to the GWAS and fine-mapped functional variants, and understanding their biological pathway/gene networks enrichments is expected to give rich dividend by elucidating the mechanisms underlying prostate cancer. To this aim, we compiled and analysed currently available post-GWAS data on genes identified through GWAS and validated through experimental studies in prostate cancer to investigate molecular biological pathways enriched for assigned functional genes. The results highlight some well-known cancer signalling pathways, antigen presentation process and enrichment in cell growth and development gene networks suggesting prostate cancer may result from the accumulation of the effects of functional variants through multiple gene sets and pathways. The upstream analysis identifies critical transcription factors, which supplements the results regarding the regulatory role of the post-GWAS genes. We also identified the common genes between post-GWAS and three well-annotated prostate cancer Oncomine data in patient samples in order to uncover possible main genes in prostate cancer development/progression. Post-GWAS generated knowledge of gene networks and pathways, if analysed further and targeted appropriately, will have an important impact on clinical management of the disease.
Biology and Life Sciences, Animal Science, Veterinary Science and Zoology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
