Reworking GWAS Data to Understand the Role of Nongenetic Factors in MS Etiopathogenesis

Reworking GWAS Data to Understand the Role of Nongenetic Factors in MS Etiopathogenesis

Genome-wide association studies have identified more than 200 multiple sclerosis (MS)-associated loci across the human genome over the last decade, suggesting complexity in the disease etiology. This complexity poses at least two challenges: the definition of an etiological model including the impac...

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Bibliographic Details
Main Authors: Rosella Mechelli, Renato Umeton, Grazia Manfrè, Silvia Romano, Maria Chiara Buscarinu, Virginia Rinaldi, Gianmarco Bellucci, Rachele Bigi, Michela Ferraldeschi, Marco Salvetti, Giovanni Ristori
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Genes
Subjects:
genome wide association studies
multiple sclerosis
gene-environment interaction
expression quantitative trait loci (eqtl)
protein–protein interaction
pathway analysis
polygenic risk score
Online Access:https://www.mdpi.com/2073-4425/11/1/97

Internet

https://www.mdpi.com/2073-4425/11/1/97

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