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      High-Density SNP Screening of the Major Histocompatibility Complex in Systemic Lupus Erythematosus Demonstrates Strong Evidence for Independent Susceptibility Regions

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          Abstract

          A substantial genetic contribution to systemic lupus erythematosus (SLE) risk is conferred by major histocompatibility complex (MHC) gene(s) on chromosome 6p21. Previous studies in SLE have lacked statistical power and genetic resolution to fully define MHC influences. We characterized 1,610 Caucasian SLE cases and 1,470 parents for 1,974 MHC SNPs, the highly polymorphic HLA-DRB1 locus, and a panel of ancestry informative markers. Single-marker analyses revealed strong signals for SNPs within several MHC regions, as well as with HLA-DRB1 (global p = 9.99×10 −16). The most strongly associated DRB1 alleles were: *0301 (odds ratio, OR = 2.21, p = 2.53×10 −12), *1401 (OR = 0.50, p = 0.0002), and *1501 (OR = 1.39, p = 0.0032). The MHC region SNP demonstrating the strongest evidence of association with SLE was rs3117103, with OR = 2.44 and p = 2.80×10 −13. Conditional haplotype and stepwise logistic regression analyses identified strong evidence for association between SLE and the extended class I, class I, class III, class II, and the extended class II MHC regions. Sequential removal of SLE–associated DRB1 haplotypes revealed independent effects due to variation within OR2H2 (extended class I, rs362521, p = 0.006), CREBL1 (class III, rs8283, p = 0.01), and DQB2 (class II, rs7769979, p = 0.003, and rs10947345, p = 0.0004). Further, conditional haplotype analyses demonstrated that variation within MICB (class I, rs3828903, p = 0.006) also contributes to SLE risk independent of HLA-DRB1*0301. Our results for the first time delineate with high resolution several MHC regions with independent contributions to SLE risk. We provide a list of candidate variants based on biologic and functional considerations that may be causally related to SLE risk and warrant further investigation.

          Author Summary

          Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by autoantibody production and involvement of multiple organ systems. Although the cause of SLE remains unknown, several lines of evidence underscore the importance of genetic factors. As is true for most autoimmune diseases, a substantial genetic contribution to disease risk is conferred by major histocompatibility complex (MHC) gene(s) on chromosome 6. This region of the genome contains a large number of genes that participate in the immune response. However, the full contribution of this genomic region to SLE risk has not yet been defined. In the current study we characterize a large number of SLE patients and family members for approximately 2,000 MHC region variants to identify the specific genes that influence disease risk. Our results, for the first time, implicate four different MHC regions in SLE risk. We provide a list of candidate variants based on biologic and functional considerations that may be causally related to SLE risk and warrant further investigation.

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          Most cited references34

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          Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus.

          M Hochberg (1997)
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            Efficiency and power in genetic association studies.

            We investigated selection and analysis of tag SNPs for genome-wide association studies by specifically examining the relationship between investment in genotyping and statistical power. Do pairwise or multimarker methods maximize efficiency and power? To what extent is power compromised when tags are selected from an incomplete resource such as HapMap? We addressed these questions using genotype data from the HapMap ENCODE project, association studies simulated under a realistic disease model, and empirical correction for multiple hypothesis testing. We demonstrate a haplotype-based tagging method that uniformly outperforms single-marker tests and methods for prioritization that markedly increase tagging efficiency. Examining all observed haplotypes for association, rather than just those that are proxies for known SNPs, increases power to detect rare causal alleles, at the cost of reduced power to detect common causal alleles. Power is robust to the completeness of the reference panel from which tags are selected. These findings have implications for prioritizing tag SNPs and interpreting association studies.
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              Gene map of the extended human MHC.

              The major histocompatibility complex (MHC) is the most important region in the vertebrate genome with respect to infection and autoimmunity, and is crucial in adaptive and innate immunity. Decades of biomedical research have revealed many MHC genes that are duplicated, polymorphic and associated with more diseases than any other region of the human genome. The recent completion of several large-scale studies offers the opportunity to assimilate the latest data into an integrated gene map of the extended human MHC. Here, we present this map and review its content in relation to paralogy, polymorphism, immune function and disease.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                October 2009
                October 2009
                23 October 2009
                : 5
                : 10
                : e1000696
                Affiliations
                [1 ]Division of Epidemiology, School of Public Health, University of California Berkeley, Berkeley, California, United States of America
                [2 ]Children's Hospital of Oakland Research Institute, Oakland, California, United States of America
                [3 ]Rosalind Russell Medical Research Center for Arthritis, University of California San Francisco, San Francisco, California, United States of America
                [4 ]Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, United States of America
                [5 ]Immunology Diagnostics and Biomarkers, Genentech, South San Francisco, California, United States of America
                [6 ]University of California Davis, Davis, California, United States of America
                [7 ]Department of Integrative Biology, University of California Berkeley, Berkeley, California, United States of America
                The Jackson Laboratory, United States of America
                Author notes

                Conceived and designed the experiments: LFB LAC. Performed the experiments: SLM HLQ JAL JAN DLQ. Analyzed the data: LFB PPR JN KET SAC MFS GT LAC. Contributed reagents/materials/analysis tools: LFB JAN KET JAK KLM TWB JBH PMG LAC. Wrote the paper: LFB KET LAC.

                Article
                09-PLGE-RA-0875R2
                10.1371/journal.pgen.1000696
                2758598
                19851445
                4904d87a-b34f-4f29-9907-e12e45c10046
                Barcellos 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.
                History
                : 26 May 2009
                : 23 September 2009
                Page count
                Pages: 10
                Categories
                Research Article
                Genetics and Genomics/Complex Traits
                Genetics and Genomics/Genetics of the Immune System
                Immunology/Autoimmunity
                Immunology/Genetics of the Immune System
                Rheumatology/Autoimmunity, Autoimmune, and Inflammatory Diseases
                Rheumatology/Connective Tissue Disease
                Rheumatology/Systemic Lupus Erythematosos

                Genetics
                Genetics

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