ArticleScientific reports2012
Evolutionary history of human disease genes reveals phenotypic connections and comorbidity among genetic diseases.
Article in Scientific reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Applications of network analysis to routinely collected health care data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
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- The translational network for metabolic disease - from protein interaction to disease co-occurrence.BMC bioinformatics · 2019Article
- GenCoNet - A Graph Database for the Analysis of Comorbidities by Gene Networks.Journal of integrative bioinformatics · 2018Article
- From hype to reality: data science enabling personalized medicine.BMC medicine · 2018Article
- Network Modules of the Cross-Species Genotype-Phenotype Map Reflect the Clinical Severity of Human Diseases.PloS one · 2015Article
- Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies.BMC bioinformatics · 2014Article
- Predicting disease associations via biological network analysis.BMC bioinformatics · 2014Article
- Unraveling human protein interaction networks underlying co-occurrences of diseases and pathological conditions.Journal of translational medicine · 2014Article
- Copy number and nucleotide variation of the LILR family of myelomonocytic cell activating and inhibitory receptors.Immunogenetics · 2014Article
- Impact of the environment on the skeleton: is it modulated by genetic factors?Current osteoporosis reports · 2013Review
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The extent to which evolutionary changes have impacted the phenotypic relationships among human diseases remains unclear. In this work, we report that phenotypically similar diseases are connected by the evolutionary constraints on human disease genes. Human disease groups can be classified into slowly or rapidly evolving classes, where the diseases in the slowly evolving class are enriched with morphological phenotypes and those in the rapidly evolving class are enriched with physiological phenotypes. Our findings establish a clear evolutionary connection between disease classes and disease phenotypes for the first time. Furthermore, the high comorbidity found between diseases connected by similar evolutionary constraints enables us to improve the predictability of the relative risk of human diseases. We find the evolutionary constraints on disease genes are a new layer of molecular connection in the network-based exploration of human diseases.
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