Evidence map›Paper›PMID 33622316›Full record

ArticleBMC medical genomics2021

The similarity of inherited diseases (I): clinical similarity within the phenotypic series.

Alessio Gamba, Mario Salmona, Gianfranco Bazzoni

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Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Alessio GambaDepartment of Biochemistry and Molecular Pharmacology, Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milano, Italy.
Mario SalmonaDepartment of Biochemistry and Molecular Pharmacology, Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milano, Italy.
Gianfranco BazzoniDepartment of Biochemistry and Molecular Pharmacology, Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milano, Italy. gianfranco.bazzoni@marionegri.it.ORCID 0000-0001-9093-6395

Funding

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6 · The paper itself

Abstract

backgroundMutations of different genes often result in clinically similar diseases. Among the datasets of similar diseases, we analyzed the 'phenotypic series' from Online Mendelian Inheritance in Man and examined the similarity of the diseases that belong to the same phenotypic series, because we hypothesize that clinical similarity may unveil shared pathogenic mechanisms.

methodsSpecifically, for each pair of diseases, we quantified their similarity, based on both number and information content of the shared clinical phenotypes. Then, we assembled the disease similarity network, in which nodes represent diseases and edges represent clinical similarities.

resultsOn average, diseases have high similarity with other diseases of their own phenotypic series, even though about one third of diseases have their maximal similarity with a disease of another series. Consequently, the network is assortative (i.e., diseases belonging to the same series link preferentially to each other), but the series differ in the way they distribute within the network. Specifically, heterophobic series, which minimize links to other series, form islands at the periphery of the network, whereas heterophilic series, which are highly inter-connected with other series, occupy the center of the network.

conclusionsThe finding that the phenotypic series display not only internal similarity (assortativity) but also varying degrees of external similarity (ranging from heterophobicity to heterophilicity) calls for investigation of biological mechanisms that might be shared among different series. The correlation between the clinical and biological similarities of the phenotypic series is analyzed in Part II of this study

Indexed as

Genetic Diseases, InbornPhenotypeComputational BiologyHumansDifferential diagnosisDisease phenotypesGene mutationsGraph theoryInherited diseasesNetwork analysis

Identifiers

PMID33622316
PMCPMC7903653

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