Genetic loci for Epstein-Barr virus nuclear antigen-1 are associated with risk of multiple sclerosis

Author:

Zhou Yuan1,Zhu Gu2,Charlesworth Jac C1,Simpson Steve1,Rubicz Rohina3,Göring Harald HH4,Patsopoulos Nikolaos A5,Laverty Caroline6,Wu Feitong1,Henders Anjali2,Ellis Jonathan J2,van der Mei Ingrid1,Montgomery Grant W2,Blangero John4,Curran Joanne E4,Johnson Matthew P4,Martin Nicholas G2,Nyholt Dale R7,Taylor Bruce V1,

Affiliation:

1. Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia

2. Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia

3. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA

4. South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA

5. Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA/Harvard Medical School, Boston, MA, USA/Broad Institute, Cambridge, MA, USA

6. Monash Antibody Technologies Facility, Monash University, Melbourne, VIC, Australia

7. Statistical and Genomic Epidemiology Laboratory, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia/Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia

Abstract

Background: Infection with the Epstein-Barr virus (EBV) is associated with an increased risk of multiple sclerosis (MS). Objective: We sought genetic loci influencing EBV nuclear antigen-1 (EBNA-1) IgG titers and hypothesized that they may play a role in MS risk. Methods: We performed a genome-wide association study (GWAS) of anti-EBNA-1 IgG titers in 3599 individuals from an unselected twin family cohort, followed by a meta-analysis with data from an independent EBNA-1 GWAS. We then examined the shared polygenic risk between the EBNA-1 GWAS (effective sample size ( Neff) = 5555) and a large MS GWAS ( Neff = 15,231). Results: We identified one locus of strong association within the human leukocyte antigen (HLA) region, of which the most significantly associated genotyped single nucleotide polymorphism (SNP) was rs2516049 ( p = 4.11 × 10−9). A meta-analysis including data from another EBNA-1 GWAS in a cohort of Mexican-American families confirmed that rs2516049 remained the most significantly associated SNP ( p = 3.32 × 10−20). By examining the shared polygenic risk, we show that the genetic risk for elevated anti-EBNA-1 titers is positively correlated with the development of MS, and that elevated EBNA-1 titers are not an epiphenomena secondary to MS. In the joint meta-analysis of EBNA-1 titers and MS, loci at 1p22.1, 3p24.1, 3q13.33, and 10p15.1 reached genome-wide significance ( p < 5 × 10−8). Conclusions: Our results suggest that apart from the confirmed HLA region, the association of anti-EBNA-1 IgG titer with MS risk is also mediated through non-HLA genes, and that studies aimed at identifying genetic loci influencing EBNA immune response provides a novel opportunity to identify new and characterize existing genetic risk factors for MS.

Publisher

SAGE Publications

Subject

Neurology (clinical),Neurology

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