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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.1038/srep39658 |
Disentangling genetic and environmental risk factors for individual diseases from multiplex comorbidity networks. | |
Klimek Peter; Aichberger Silke; Thurner S | |
发表日期 | 2016 |
出处 | Scientific Reports 6: art.no.39658 |
出版年 | 2016 |
语种 | 英语 |
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. |
主题 | Advanced Systems Analysis (ASA) |
关键词 | environmental risk factors, individual diseases, complexity, network topology |
URL | http://pure.iiasa.ac.at/id/eprint/14251/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130681 |
推荐引用方式 GB/T 7714 | Klimek Peter,Aichberger Silke,Thurner S. Disentangling genetic and environmental risk factors for individual diseases from multiplex comorbidity networks.. 2016. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
srep39658.pdf(924KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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