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Disentangling genetic and environmental risk factors for individual diseases from multiplex comorbidity networks

机译:从多重合并症网络中分离出各种疾病的遗传和环境危险因素

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摘要

Most disorders are caused by a combination of multiple genetic and/or environmental factors. If two diseases are caused by the same molecular mechanism, they tend to co-occur in patients. Here we provide a quantitative method to disentangle how much genetic or environmental risk factors contribute to the pathogenesis of 358 individual diseases, respectively. We pool data on genetic, pathway-based, and toxicogenomic disease-causing mechanisms with disease co-occurrence data obtained from almost two million patients. From this data we construct a multiplex network where nodes represent disorders that are connected by links that either represent phenotypic comorbidity of the patients or the involvement of a certain molecular mechanism. From the similarity of phenotypic and mechanism-based networks for each disorder we derive measure that allows us to quantify the relative importance of various molecular mechanisms for a given disease. We find that most diseases are dominated by genetic risk factors, while environmental influences prevail for disorders such as depressions, cancers, or dermatitis. Almost never we find that more than one type of mechanisms is involved in the pathogenesis of diseases.
机译:大多数疾病是由多种遗传和/或环境因素共同引起的。如果两种疾病是由相同的分子机制引起的,则它们往往在患者中同时发生。在这里,我们提供了一种定量方法,以区分遗传或环境危险因素分别对358种个体疾病的发病机理有何贡献。我们将有关遗传,基于途径和毒理基因组疾病的致病机制的数据与从近200万患者中获得的疾病共存数据进行汇总。根据这些数据,我们构建了一个多元网络,其中节点代表通过链接连接的疾病,链接表示患者的表型合并症或某种分子机制的参与。从每种疾病的表型和基于机制的网络的相似性中,我们得出可以使我们量化特定疾病的各种分子机制的相对重要性的度量。我们发现大多数疾病都是由遗传风险因素主导的,而环境影响则主要针对抑郁症,癌症或皮炎等疾病。几乎从来没有我们发现疾病的发病机制涉及一种以上类型的机制。

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