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论文类型：期刊论文

发表时间：2018-05-01

发表刊物：EBIOMEDICINE

收录刊物：PubMed、SCIE

卷号：31

页面范围：79-91

ISSN号：2352-3964

关键字：Disease taxonomy; Network medicine; Disease phenotypes; Molecular profiles; Precision medicine

摘要：The International Classification of Diseases (LCD) relies on clinical features and lags behind the current understanding of the molecular specificity of disease pathobiology, necessitating approaches that incorporate growing biomedical data for classifying diseases to meet the needs of precision medicine. Our analysis revealed that the heterogeneous molecular diversity of disease chapters and the blurred boundary between disease categories in 1CD should be further investigated. Here, we propose a new classification of diseases (NCD) by developing an algorithm that predicts the additional categories of a disease by integrating multiple networks consisting of disease phenotypes and their molecular profiles. With statistical validations from phenotype-genotype associations and interaciome networks, we demonstrate that NCD improves disease specificity owing to its overlapping categories and polyhierarchical structure. Furthermore, NCD captures the molecular diversity of diseases and defines clearer boundaries in terms of both phenotypic similarity and molecular associations, establishing a rational strategy to reform disease taxonomy. (C) 2018 The Authors. Published by Elsevier B.V.