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dc.contributor.authorMechelli, Rosella
dc.contributor.authorUmeton, Renato
dc.contributor.authorPolicano, Claudia
dc.contributor.authorAnnibali, Viviana
dc.contributor.authorCoarelli, Giulia
dc.contributor.authorRicigliano, Vito A. G.
dc.contributor.authorVittori, Danila
dc.contributor.authorFornasiero, Arianna
dc.contributor.authorBuscarinu, Maria Chiara
dc.contributor.authorZajicek, John Peter
dc.contributor.authorRomano, Silvia
dc.contributor.authorSalvetti, Marco
dc.contributor.authorRistori, Giovanni
dc.identifier.citationMechelli , R , Umeton , R , Policano , C , Annibali , V , Coarelli , G , Ricigliano , V A G , Vittori , D , Fornasiero , A , Buscarinu , M C , International Multiple Sclerosis Genetics Consortium (IMSGC) , Wellcome Trust Case Control Consortium, 2 (WTCCC2) , Romano , S , Salvetti , M & Ristori , G 2013 , ' A "candidate-interactome" aggregate analysis of genome-wide association data in multiple sclerosis ' PLoS One , vol. 8 , no. 5 , e63300 . DOI: 10.1371/journal.pone.0063300en
dc.identifier.otherPURE: 242547744
dc.identifier.otherPURE UUID: 07de8e5e-d5da-4dac-8759-2c6eb8683bbb
dc.identifier.otherPubMed: 23696811
dc.identifier.otherScopus: 84877798701
dc.descriptionThis work was funded by Italian Multiple Sclerosis Foundation grants (2007/R/17 and 2011/R/31) to MS.en
dc.description.abstractThough difficult, the study of gene-environment interactions in multifactorial diseases is crucial for interpreting the relevance of non-heritable factors and prevents from overlooking genetic associations with small but measurable effects. We propose a "candidate interactome" (i.e. a group of genes whose products are known to physically interact with environmental factors that may be relevant for disease pathogenesis) analysis of genome-wide association data in multiple sclerosis. We looked for statistical enrichment of associations among interactomes that, at the current state of knowledge, may be representative of gene-environment interactions of potential, uncertain or unlikely relevance for multiple sclerosis pathogenesis: Epstein-Barr virus, human immunodeficiency virus, hepatitis B virus, hepatitis C virus, cytomegalovirus, HHV8-Kaposi sarcoma, H1N1-influenza, JC virus, human innate immunity interactome for type I interferon, autoimmune regulator, vitamin D receptor, aryl hydrocarbon receptor and a panel of proteins targeted by 70 innate immune-modulating viral open reading frames from 30 viral species. Interactomes were either obtained from the literature or were manually curated. The P values of all single nucleotide polymorphism mapping to a given interactome were obtained from the last genome-wide association study of the International Multiple Sclerosis Genetics Consortium & the Wellcome Trust Case Control Consortium, 2. The interaction between genotype and Epstein Barr virus emerges as relevant for multiple sclerosis etiology. However, in line with recent data on the coexistence of common and unique strategies used by viruses to perturb the human molecular system, also other viruses have a similar potential, though probably less relevant in epidemiological terms.en
dc.relation.ispartofPLoS Oneen
dc.rightsCopyright: © 2013 Mechelli et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.subjectGenome-Wide Association Studyen
dc.subjectMultiple Sclerosisen
dc.subjectProtein Bindingen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subjectRC0321 Neuroscience. Biological psychiatry. Neuropsychiatryen
dc.titleA "candidate-interactome" aggregate analysis of genome-wide association data in multiple sclerosisen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.description.statusPeer revieweden

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