Academic Journal

A large-scale analysis of genetic variants within putative miRNA binding sites in prostate cancer

التفاصيل البيبلوغرافية
العنوان: A large-scale analysis of genetic variants within putative miRNA binding sites in prostate cancer
المؤلفون: Stegeman, Shane, Amankwah, Ernest, Klein, Kerenaftali, O'Mara, Tracy, Kim, Donghwa, Lin, Hui-Yi, Permuth Wey, Jennifer, Sellers, Thomas, Srinivasan, Srilakshmi, Eeles, Rosalind, Clements, Judith, Batra, Jyotsna, other, and
المصدر: Cancer Discovery
بيانات النشر: American Association for Cancer Research Inc.
سنة النشر: 2015
المجموعة: Queensland University of Technology: QUT ePrints
الوصف: Free to read Prostate cancer is the second most common malignancy among men worldwide. Genome-wide association studies have identified 100 risk variants for prostate cancer, which can explain approximately 33% of the familial risk of the disease. We hypothesized that a comprehensive analysis of genetic variations found within the 3' untranslated region of genes predicted to affect miRNA binding (miRSNP) can identify additional prostate cancer risk variants. We investigated the association between 2,169 miRSNPs and prostate cancer risk in a large-scale analysis of 22,301 cases and 22,320 controls of European ancestry from 23 participating studies. Twenty-two miRSNPs were associated (P<2.3×10(-5)) with risk of prostate cancer, 10 of which were within 7 genes previously not mapped by GWAS studies. Further, using miRNA mimics and reporter gene assays, we showed that miR-3162-5p has specific affinity for the KLK3 rs1058205 miRSNP T-allele, whereas miR-370 has greater affinity for the VAMP8 rs1010 miRSNP A-allele, validating their functional role. SIGNIFICANCE Findings from this large association study suggest that a focus on miRSNPs, including functional evaluation, can identify candidate risk loci below currently accepted statistical levels of genome-wide significance. Studies of miRNAs and their interactions with SNPs could provide further insights into the mechanisms of prostate cancer risk.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: unknown
Relation: https://eprints.qut.edu.au/90527/1/2015_alargescale.pdf; Stegeman, Shane, Amankwah, Ernest, Klein, Kerenaftali, O'Mara, Tracy, Kim, Donghwa, Lin, Hui-Yi, Permuth Wey, Jennifer, Sellers, Thomas, Srinivasan, Srilakshmi, Eeles, Rosalind, Clements, Judith, Batra, Jyotsna, & other, and (2015) A large-scale analysis of genetic variants within putative miRNA binding sites in prostate cancer. Cancer Discovery, 5(4), pp. 368-379.; http://purl.org/au-research/grants/nhmrc/1050742; https://eprints.qut.edu.au/90527/; Faculty of Health; Institute of Health and Biomedical Innovation
الاتاحة: https://eprints.qut.edu.au/90527/
Rights: free_to_read ; Consult author(s) regarding copyright matters ; This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
رقم الانضمام: edsbas.E00CAFF0
قاعدة البيانات: BASE