Article (Scientific journals)
The similarity of inherited diseases (II): clinical and biological similarity between the phenotypic series.
Gamba, Alessio; Salmona, Mario; Cantù, Laura et al.
2020In BMC Medical Genomics, 13 (1), p. 139
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Keywords :
Biological processes; Disease phenotypes; Gene mutations; Inherited diseases; Network analysis; Ontologies; Computational Biology/methods; Gene Regulatory Networks; Phenotype; Computational Biology; Genetic Diseases, Inborn; Genetics; Genetics (clinical)
Abstract :
[en] BACKGROUND: Despite being caused by mutations in different genes, diseases in the same phenotypic series are clinically similar, as reported in Part I of this study. Here, in Part II, we hypothesized that the phenotypic series too might be clinically similar. Furthermore, on the assumption that gene mutations indirectly cause clinical phenotypes by directly affecting biological functions, we hypothesized that clinically similar phenotypic series might be biologically similar as well. METHODS: To test these hypotheses, we generated a clinical similarity network and a set of biological similarity networks. In both types of network, the nodes represent the phenotypic series, and the edges linking the nodes indicate the similarity of the linked phenotypic series. The weight of each edge is proportional to a similarity coefficient, which depends on the clinical phenotypes and the biological features that are shared by the linked phenotypic series, in the clinical and biological similarity networks, respectively. RESULTS: After assembling and analyzing the networks, we raised the threshold for the similarity coefficient, to retain edges of progressively greater weight. This way all the networks were gradually split into fragments, composed of phenotypic series with increasingly greater degrees of similarity. Finally, by comparing the fragments from the two types of network, we defined subsets of phenotypic series with varying types and degrees of clinical and biological correlation. CONCLUSIONS: Like the individual diseases, the phenotypic series too are clinically and biologically similar to each other. Furthermore, our findings unveil different modalities of correlation between the clinical manifestations and the biological features of the inherited diseases.
Disciplines :
Genetics & genetic processes
Author, co-author :
Gamba, Alessio  ;  Université de Liège - ULiège > GIGA > GIGA In silico medecine - Biomechanics Research Unit ; Department of Biochemistry and Molecular Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, I-20156, Milan, Italy
Salmona, Mario;  Department of Biochemistry and Molecular Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, I-20156, Milan, Italy
Cantù, Laura;  Department of Medical Biotechnology and Translational Medicine, University of Milan, LITA, Segrate, Italy
Bazzoni, Gianfranco ;  Department of Biochemistry and Molecular Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, I-20156, Milan, Italy. gianfranco.bazzoni@marionegri.it
Language :
English
Title :
The similarity of inherited diseases (II): clinical and biological similarity between the phenotypic series.
Publication date :
September 2020
Journal title :
BMC Medical Genomics
eISSN :
1755-8794
Publisher :
NLM (Medline), England
Volume :
13
Issue :
1
Pages :
139
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 14 October 2022

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