A Novel Mathematical Approach to Define the GenesSNPs Conferring Risk or Protection in Sporadic Amyotrophic Lateral Sclerosis Based on Auto Contractive Map Neural Networks and Graph Theory
Joint Authors
Buscema, Massimo
Penco, Silvana
Grossi, Enzo
Source
Neurology Research International
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-09
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Background.
Complex diseases like amyotrophic lateral sclerosis (ALS) implicate phenotypic and genetic heterogeneity.
Therefore, multiple genetic traits may show differential association with the disease.
The Auto Contractive Map (AutoCM), belonging to the Artificial Neural Network (ANN) architecture, “spatializes” the correlation among variables by constructing a suitable embedding space where a visually transparent and cognitively natural notion such as “closeness” among variables reflects accurately their associations.
Results.
In this pilot case-control study single nucleotide polymorphism (SNP) in several genes has been evaluated with a novel data mining approach based on an AutoCM.
We have divided the ALS dataset into two dataset: Cases and Control dataset; we have applied to each one, independently, the AutoCM algorithm.
Six genetic variants were identified which differently contributed to the complexity of the system: three of the above genes/SNPs represent protective factors, APOA4, NOS3, and LPL, since their contribution to the whole complexity resulted to be as high as 0.17.
On the other hand ADRB3, LIPC, and MMP3, whose hub relevancies contribution resulted to be as high as 0.13, seem to represent susceptibility factors.
Conclusion.
The biological information available on these six polymorphisms is consistent with possible pathogenetic pathways related to ALS.
American Psychological Association (APA)
Buscema, Massimo& Penco, Silvana& Grossi, Enzo. 2012. A Novel Mathematical Approach to Define the GenesSNPs Conferring Risk or Protection in Sporadic Amyotrophic Lateral Sclerosis Based on Auto Contractive Map Neural Networks and Graph Theory. Neurology Research International،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-474736
Modern Language Association (MLA)
Buscema, Massimo…[et al.]. A Novel Mathematical Approach to Define the GenesSNPs Conferring Risk or Protection in Sporadic Amyotrophic Lateral Sclerosis Based on Auto Contractive Map Neural Networks and Graph Theory. Neurology Research International No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-474736
American Medical Association (AMA)
Buscema, Massimo& Penco, Silvana& Grossi, Enzo. A Novel Mathematical Approach to Define the GenesSNPs Conferring Risk or Protection in Sporadic Amyotrophic Lateral Sclerosis Based on Auto Contractive Map Neural Networks and Graph Theory. Neurology Research International. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-474736
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474736