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How to Map the Genetic Basis for Conditions that are Comorbid with Male Infertility

机译:如何映射遗传基础,以便与男性不孕症合并

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Studying conditions that are comorbid with infertility can provide a picture of the overall health of a patient population that is younger than the typical cases of agerelated diseases that preoccupy our health care system. If strong predictive relationships could be established between infertility and life-threatening disease, interventions can be established early in life for at-risk individuals. Here, we discuss how genomic tools can be used to identify diseases and traits that are likely to be comorbid with male infertility. We divide these approaches broadly into two categories: direct and indirect. Direct approaches require knowledge of the specific genetic variants associated with male infertility, while indirect approaches can work with only gene lists, or even no a priori knowledge of disease-gene architecture. Using existing data from human and mouse studies, we demonstrate that one indirect approach based on gene networks provides support for the recent epidemiological findings that infertility is a risk factor for cancer and cardiovascular disease. Finding comorbidities of male infertility is an important goal for the reproductive medicine community. We outline existing resources that will play a valuable role in this quest, and describe new resources that must be developed for maximum progress.
机译:学习患有不孕症的合并的条件可以提供患者人群的整体健康状况,这些患者群体比预先妥协我们的医疗保健系统的敏感疾病的典型病例。如果可以在不孕症和生命危及生命的疾病之间建立强烈的预测关系,可以在危险的人中提前建立干预措施。在这里,我们讨论基因组工具如何用于识别可能具有男性不孕症的疾病和特征的疾病和特征。我们将这些方法分为两类:直接和间接。直接方法需要了解与男性不孕症相关的特定遗传变异,而间接方法可以仅用基因列表合作,甚至没有先验的疾病基因结构知识。使用来自人和鼠标研究的现有数据,我们证明基于基因网络的一种间接方法为最近的流行病学结果提供了不孕症是癌症和心血管疾病的危险因素。寻找男性不孕症的融合是生殖医学界的重要目标。我们概述了将在此任务中发挥宝贵作用的现有资源,并描述必须开发的新资源以获得最大进展。

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