SNP-SNP interactions as risk factors for aggressive prostate cancer [version 1; referees: 2 approved]
Prostate cancer (PCa) is one of the most significant male health concerns worldwide. Single nucleotide polymorphisms (SNPs) are becoming increasingly strong candidate biomarkers for identifying susceptibility to PCa. We identified a number of SNPs reported in genome-wide association analyses (GWAS)...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2017-05-01
|
| Series: | F1000Research |
| Subjects: | |
| Online Access: | https://f1000research.com/articles/6-621/v1 |
| _version_ | 1818942132297138176 |
|---|---|
| author | Venkatesh Vaidyanathan Vijay Naidu Nishi Karunasinghe Anower Jabed Radha Pallati Gareth Marlow Lynnette R. Ferguson |
| author_facet | Venkatesh Vaidyanathan Vijay Naidu Nishi Karunasinghe Anower Jabed Radha Pallati Gareth Marlow Lynnette R. Ferguson |
| author_sort | Venkatesh Vaidyanathan |
| collection | DOAJ |
| description | Prostate cancer (PCa) is one of the most significant male health concerns worldwide. Single nucleotide polymorphisms (SNPs) are becoming increasingly strong candidate biomarkers for identifying susceptibility to PCa. We identified a number of SNPs reported in genome-wide association analyses (GWAS) as risk factors for aggressive PCa in various European populations, and then defined SNP-SNP interactions, using PLINK software, with nucleic acid samples from a New Zealand cohort. We used this approach to find a gene x environment marker for aggressive PCa, as although statistically gene x environment interactions can be adjusted for, it is highly impossible in practicality, and thus must be incorporated in the search for a reliable biomarker for PCa. We found two intronic SNPs statistically significantly interacting with each other as a risk for aggressive prostate cancer on being compared to healthy controls in a New Zealand population. |
| first_indexed | 2024-12-20T07:06:34Z |
| format | Article |
| id | doaj.art-fd998aafa07445849e39310edfa9eb34 |
| institution | Directory Open Access Journal |
| issn | 2046-1402 |
| language | English |
| last_indexed | 2024-12-20T07:06:34Z |
| publishDate | 2017-05-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | F1000Research |
| spelling | doaj.art-fd998aafa07445849e39310edfa9eb342022-12-21T19:49:02ZengF1000 Research LtdF1000Research2046-14022017-05-01610.12688/f1000research.11027.111895SNP-SNP interactions as risk factors for aggressive prostate cancer [version 1; referees: 2 approved]Venkatesh Vaidyanathan0Vijay Naidu1Nishi Karunasinghe2Anower Jabed3Radha Pallati4Gareth Marlow5Lynnette R. Ferguson6Auckland Cancer Society Research Centre, Auckland, New ZealandSchool of Engineering,Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New ZealandAuckland Cancer Society Research Centre, Auckland, New ZealandDepartment of Molecular Medicine and Pathology, FM & HS, University of Auckland, Auckland, New ZealandDiscipline of Nutrition and Dietetics, FM & HS, University of Auckland, Auckland, New ZealandExperimental Cancer Medicine Centre, Cardiff University, Cardiff, UKAuckland Cancer Society Research Centre, Auckland, New ZealandProstate cancer (PCa) is one of the most significant male health concerns worldwide. Single nucleotide polymorphisms (SNPs) are becoming increasingly strong candidate biomarkers for identifying susceptibility to PCa. We identified a number of SNPs reported in genome-wide association analyses (GWAS) as risk factors for aggressive PCa in various European populations, and then defined SNP-SNP interactions, using PLINK software, with nucleic acid samples from a New Zealand cohort. We used this approach to find a gene x environment marker for aggressive PCa, as although statistically gene x environment interactions can be adjusted for, it is highly impossible in practicality, and thus must be incorporated in the search for a reliable biomarker for PCa. We found two intronic SNPs statistically significantly interacting with each other as a risk for aggressive prostate cancer on being compared to healthy controls in a New Zealand population.https://f1000research.com/articles/6-621/v1Genitourinary CancersGenomics |
| spellingShingle | Venkatesh Vaidyanathan Vijay Naidu Nishi Karunasinghe Anower Jabed Radha Pallati Gareth Marlow Lynnette R. Ferguson SNP-SNP interactions as risk factors for aggressive prostate cancer [version 1; referees: 2 approved] F1000Research Genitourinary Cancers Genomics |
| title | SNP-SNP interactions as risk factors for aggressive prostate cancer [version 1; referees: 2 approved] |
| title_full | SNP-SNP interactions as risk factors for aggressive prostate cancer [version 1; referees: 2 approved] |
| title_fullStr | SNP-SNP interactions as risk factors for aggressive prostate cancer [version 1; referees: 2 approved] |
| title_full_unstemmed | SNP-SNP interactions as risk factors for aggressive prostate cancer [version 1; referees: 2 approved] |
| title_short | SNP-SNP interactions as risk factors for aggressive prostate cancer [version 1; referees: 2 approved] |
| title_sort | snp snp interactions as risk factors for aggressive prostate cancer version 1 referees 2 approved |
| topic | Genitourinary Cancers Genomics |
| url | https://f1000research.com/articles/6-621/v1 |
| work_keys_str_mv | AT venkateshvaidyanathan snpsnpinteractionsasriskfactorsforaggressiveprostatecancerversion1referees2approved AT vijaynaidu snpsnpinteractionsasriskfactorsforaggressiveprostatecancerversion1referees2approved AT nishikarunasinghe snpsnpinteractionsasriskfactorsforaggressiveprostatecancerversion1referees2approved AT anowerjabed snpsnpinteractionsasriskfactorsforaggressiveprostatecancerversion1referees2approved AT radhapallati snpsnpinteractionsasriskfactorsforaggressiveprostatecancerversion1referees2approved AT garethmarlow snpsnpinteractionsasriskfactorsforaggressiveprostatecancerversion1referees2approved AT lynnetterferguson snpsnpinteractionsasriskfactorsforaggressiveprostatecancerversion1referees2approved |