A "candidate-interactome" aggregate analysis of genome-wide association data in multiple sclerosis

Mechelli, Rosella, Umeton, Renato, Policano, Claudia, Annibali, Viviana, Coarelli, Giulia, Ricigliano, Vito A. G., Vittori, Danila, Fornasiero, Arianna, Buscarinu, Maria Chiara, International Multiple Sclerosis Genetics Consortium, Wellcome Trust Case Control Consortium,2, Romano, Silvia, Salvetti, Marco, Ristori, Giovanni and Brown, Matthew A. (2013) A "candidate-interactome" aggregate analysis of genome-wide association data in multiple sclerosis. PLoS One, 8 5: . doi:10.1371/journal.pone.0063300


Author Mechelli, Rosella
Umeton, Renato
Policano, Claudia
Annibali, Viviana
Coarelli, Giulia
Ricigliano, Vito A. G.
Vittori, Danila
Fornasiero, Arianna
Buscarinu, Maria Chiara
International Multiple Sclerosis Genetics Consortium
Wellcome Trust Case Control Consortium,2
Romano, Silvia
Salvetti, Marco
Ristori, Giovanni
Brown, Matthew A.
Total Author Count Override 14
Title A "candidate-interactome" aggregate analysis of genome-wide association data in multiple sclerosis
Journal name PLoS One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2013-05-16
Year available 2013
Sub-type Article (original research)
DOI 10.1371/journal.pone.0063300
Open Access Status DOI
Volume 8
Issue 5
Total pages 9
Place of publication San Francisco, United States
Publisher Public Library of Science
Collection year 2014
Abstract Though 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.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article # e63300

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
UQ Diamantina Institute Publications
 
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