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A “Candidate-Interactome” Aggregate Analysis of Genome-Wide Association Data in Multiple Sclerosis

Overview of attention for article published in PLOS ONE, May 2013
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Title
A “Candidate-Interactome” Aggregate Analysis of Genome-Wide Association Data in Multiple Sclerosis
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0063300
Pubmed ID
Authors

Rosella Mechelli, Renato Umeton, Claudia Policano, Viviana Annibali, Giulia Coarelli, Vito A. G. Ricigliano, Danila Vittori, Arianna Fornasiero, Maria Chiara Buscarinu, Silvia Romano, Marco Salvetti, Giovanni Ristori

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.

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Geographical breakdown

Country Count As %
Germany 2 1%
United States 2 1%
Korea, Republic of 1 <1%
Austria 1 <1%
Canada 1 <1%
Finland 1 <1%
Japan 1 <1%
Luxembourg 1 <1%
Unknown 136 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 19%
Student > Ph. D. Student 16 11%
Professor 16 11%
Student > Master 12 8%
Other 10 7%
Other 29 20%
Unknown 35 24%
Readers by discipline Count As %
Medicine and Dentistry 31 21%
Agricultural and Biological Sciences 22 15%
Biochemistry, Genetics and Molecular Biology 16 11%
Neuroscience 10 7%
Nursing and Health Professions 4 3%
Other 18 12%
Unknown 45 31%