Effect of ageing and single nucleotide polymorphisms associated with the risk of aggressive prostate cancer in a New Zealand population†

IF 3.743 Q2 Biochemistry, Genetics and Molecular Biology Molecular BioSystems Pub Date : 2017-07-21 DOI:10.1039/C7MB00203C

Venkatesh Vaidyanathan, Vijay Naidu, Nishi Karunasinghe, Chi Hsiu-Juei Kao, Radha Pallati, Anower Jabed, Gareth Marlow, Prasanna Kallingappa and Lynnette R. Ferguson

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引用次数: 5

Abstract

Prostate cancer is one of the most significant male health concerns worldwide, and various researchers carrying out molecular diagnostics have indicated that genetic interactions with biological and behavioral factors play an important role in the overall risk and prognosis of this disease. Single nucleotide polymorphisms are increasingly becoming strong biomarker candidates to identify the susceptibility of individuals to prostate cancer. We carried out risk association of different stages of prostate cancer to a number of single nucleotide polymorphisms to identify the susceptible alleles in a New Zealand population and checked the interaction with environmental factors as well. We identified a number of single nucleotide polymorphisms to have associations specifically to the risk of prostate cancer and aggressiveness of the disease, and also certain single nucleotide polymorphisms to be vulnerable to the reported behavioral factors. We have addressed “special” environmental conditions prevalent in New Zealand, which can be used as a model for a bigger worldwide study.

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新西兰人群中衰老和单核苷酸多态性与侵袭性前列腺癌风险相关的影响

前列腺癌是世界范围内最重要的男性健康问题之一，许多研究人员进行分子诊断表明，遗传与生物和行为因素的相互作用在该疾病的总体风险和预后中起着重要作用。单核苷酸多态性正日益成为识别个体对前列腺癌易感性的强有力的生物标志物候选人。我们将不同阶段的前列腺癌与多个单核苷酸多态性进行风险关联，以确定新西兰人群中的易感等位基因，并检查其与环境因素的相互作用。我们确定了一些单核苷酸多态性与前列腺癌的风险和疾病的侵袭性有专门的联系，也确定了一些单核苷酸多态性易受报道的行为因素的影响。我们已经解决了新西兰普遍存在的“特殊”环境条件，这可以作为一个更大的全球研究的模型。

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来源期刊

Molecular BioSystems 生物-生化与分子生物学

CiteScore

2.94

自引率

0.00%

发文量

审稿时长

2.6 months

期刊介绍： Molecular Omics publishes molecular level experimental and bioinformatics research in the -omics sciences, including genomics, proteomics, transcriptomics and metabolomics. We will also welcome multidisciplinary papers presenting studies combining different types of omics, or the interface of omics and other fields such as systems biology or chemical biology.