Makridakis Nick M, Reichardt Juergen K V
Department of Biochemistry and Molecular Biology, Institute for Genetic Medicine, USC Keck School of Medicine, Los Angeles, California 90089-9075, USA.
J Urol. 2004 Feb;171(2 Pt 2):S25-8; discussion S28-9. doi: 10.1097/01.ju.0000107844.78769.35.
We review recent molecular epidemiological data with regard to the association between several allelic variants of certain androgen-metabolic genes and the predisposition to and progression of prostate cancer.
We review recent data dealing with genetic variations in androgens and the etiology of prostate cancer.
Recent molecular epidemiological data support an association between several allelic variants of certain androgen-metabolic genes and the predisposition to and progression of prostate cancer. While some of the allelic variants examined are consistently shown to be associated with increased prostate cancer risk, most of the variants show significant variability in risk.
A multidisciplinary attack on this problem, involving biochemistry, molecular genetics, pharmacogenetics, endocrinology and epidemiology, may be a useful paradigm in the analysis of prostate cancer and other complex human diseases. Based on the reviewed literature, we propose a guide on how and which single nucleotide polymorphisms to use in linkage and association studies of multifactorial phenotypes.
我们回顾了近期关于某些雄激素代谢基因的几个等位基因变体与前列腺癌易感性及进展之间关联的分子流行病学数据。
我们回顾了近期有关雄激素基因变异与前列腺癌病因的相关数据。
近期分子流行病学数据支持某些雄激素代谢基因的几个等位基因变体与前列腺癌易感性及进展之间存在关联。虽然所检测的一些等位基因变体始终显示与前列腺癌风险增加有关，但大多数变体的风险存在显著差异。
针对这一问题采用多学科方法，涉及生物化学、分子遗传学、药物遗传学、内分泌学和流行病学，可能是分析前列腺癌及其他复杂人类疾病的有用模式。基于所回顾的文献，我们提出了一份关于如何以及使用哪些单核苷酸多态性进行多因素表型连锁和关联研究的指南。
