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      Geographic Differences in Genetic Susceptibility to IgA Nephropathy: GWAS Replication Study and Geospatial Risk Analysis

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      1 , 1 , 1 , 2 , 1 , 3 , 4 , 1 , 5 , 6 , 7 , 7 , 8 , 8 , 9 , 10 , 11 , 12 , 13 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 17 , 20 , 20 , 21 , 22 , 21 , 22 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 33 , 29 , 28 , 25 , 4 , 24 , 6 , 5 , 1 , *
      PLoS Genetics
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          Abstract

          IgA nephropathy (IgAN), major cause of kidney failure worldwide, is common in Asians, moderately prevalent in Europeans, and rare in Africans. It is not known if these differences represent variation in genes, environment, or ascertainment. In a recent GWAS, we localized five IgAN susceptibility loci on Chr.6p21 ( HLA-DQB1/DRB1, PSMB9/TAP1, and DPA1/DPB2 loci), Chr.1q32 ( CFHR3/R1 locus), and Chr.22q12 ( HORMAD2 locus). These IgAN loci are associated with risk of other immune-mediated disorders such as type I diabetes, multiple sclerosis, or inflammatory bowel disease. We tested association of these loci in eight new independent cohorts of Asian, European, and African-American ancestry (N = 4,789), followed by meta-analysis with risk-score modeling in 12 cohorts (N = 10,755) and geospatial analysis in 85 world populations. Four susceptibility loci robustly replicated and all five loci were genome-wide significant in the combined cohort (P = 5×10 −32–3×10 −10), with heterogeneity detected only at the PSMB9/TAP1 locus (I 2 = 0.60). Conditional analyses identified two new independent risk alleles within the HLA-DQB1/DRB1 locus, defining multiple risk and protective haplotypes within this interval. We also detected a significant genetic interaction, whereby the odds ratio for the HORMAD2 protective allele was reversed in homozygotes for a CFHR3/R1 deletion (P = 2.5×10 −4). A seven–SNP genetic risk score, which explained 4.7% of overall IgAN risk, increased sharply with Eastward and Northward distance from Africa (r = 0.30, P = 3×10 −128). This model paralleled the known East–West gradient in disease risk. Moreover, the prediction of a South–North axis was confirmed by registry data showing that the prevalence of IgAN–attributable kidney failure is increased in Northern Europe, similar to multiple sclerosis and type I diabetes. Variation at IgAN susceptibility loci correlates with differences in disease prevalence among world populations. These findings inform genetic, biological, and epidemiological investigations of IgAN and permit cross-comparison with other complex traits that share genetic risk loci and geographic patterns with IgAN.

          Author Summary

          IgA nephropathy (IgAN) is the most common cause of kidney failure in Asia, has lower prevalence in Europe, and is very infrequent among populations of African ancestry. A long-standing question in the field is whether these differences represent variation in genes, environment, or ascertainment. In a recent genome-wide association study of 5,966 individuals, we identified five susceptibility loci for this trait. In this paper, we study the largest IgAN case-control cohort reported to date, composed of 10,775 individuals of European, Asian, and African-American ancestry. We confirm that all five loci are significant contributors to disease risk across this multi-ethnic cohort. In addition, we identify two novel independent susceptibility alleles within the HLA-DQB1/DRB1 locus and a new genetic interaction between loci on Chr.1p36 and Chr.22q22. We develop a seven–SNP genetic risk score that explains nearly 5% of variation in disease risk. In geospatial analysis of 85 world populations, the genetic risk score closely parallels worldwide patterns of disease prevalence. The genetic risk score also predicts an unsuspected Northward risk gradient in Europe. This genetic prediction is verified by examination of registry data demonstrating, similarly to other immune-mediated diseases such as multiple sclerosis and type I diabetes, a previously unrecognized increase in IgAN–attributable kidney failure in Northern European countries.

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          Most cited references37

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          Multiple sclerosis: geoepidemiology, genetics and the environment.

          Multiple sclerosis (MS) is a chronic immune-mediated demyelinating disease of the central nervous system characterized by relapses and remissions. The risk of acquiring this complex disease is associated with exposure to environmental factors in genetically susceptible individuals. The epidemiology of MS has been extensively studied. We review the geographic epidemiology of the disease, the influence of immigration, age at immigration, clustering and epidemics. Various presumptive risk factors are discussed such as ultraviolet radiation, vitamin D, Epstein-Barr virus and infectious mononucleosis, other infectious agents and non-infectious factors. Two different hypotheses, the hygiene hypothesis and the prevalence hypothesis, were proposed to explain these environmental risk factors for MS. The epidemiological data, combined with pathological and immunological data, may contribute to the debate whether MS is an autoimmune disease, a latent or persistent viral disease, or a neurodegenerative disease. 2009 Elsevier B.V. All rights reserved.
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            Sample size requirements for association studies of gene-gene interaction.

            In the study of complex diseases, it may be important to test hypotheses related to gene-gene (G x G) interaction. The success of such studies depends critically on obtaining adequate sample sizes. In this paper, the author investigates sample size requirements for studies of G x G interaction, focusing on four study designs: the matched-case-control design, the case-sibling design, the case-parent design, and the case-only design. All four designs provide an estimate of interaction on a multiplicative scale, which is used as a unifying theme in the comparison of sample size requirements. Across a variety of genetic models, the case-only and case-parent designs require fewer sampling units (cases and case-parent trios, respectively) than the case-control (pairs) or case-sibling (pairs) design. For example, the author describes an asthma study of two common recessive genes for which 270 matched case-control pairs would be required to detect a G x G interaction of moderate magnitude with 80% power. By comparison, the same study would require 319 case-sibling pairs but only 146 trios in the case-parent design or 116 cases in the case-only design. A software program that computes sample size for studies of G x G interaction and for studies of gene-environment (G x E) interaction is freely available (http://hydra.usc.edu/gxe).
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              Localization of type 1 diabetes susceptibility to the MHC class I genes HLA-B and HLA-A.

              The major histocompatibility complex (MHC) on chromosome 6 is associated with susceptibility to more common diseases than any other region of the human genome, including almost all disorders classified as autoimmune. In type 1 diabetes the major genetic susceptibility determinants have been mapped to the MHC class II genes HLA-DQB1 and HLA-DRB1 (refs 1-3), but these genes cannot completely explain the association between type 1 diabetes and the MHC region. Owing to the region's extreme gene density, the multiplicity of disease-associated alleles, strong associations between alleles, limited genotyping capability, and inadequate statistical approaches and sample sizes, which, and how many, loci within the MHC determine susceptibility remains unclear. Here, in several large type 1 diabetes data sets, we analyse a combined total of 1,729 polymorphisms, and apply statistical methods-recursive partitioning and regression-to pinpoint disease susceptibility to the MHC class I genes HLA-B and HLA-A (risk ratios >1.5; P(combined) = 2.01 x 10(-19) and 2.35 x 10(-13), respectively) in addition to the established associations of the MHC class II genes. Other loci with smaller and/or rarer effects might also be involved, but to find these, future searches must take into account both the HLA class II and class I genes and use even larger samples. Taken together with previous studies, we conclude that MHC-class-I-mediated events, principally involving HLA-B*39, contribute to the aetiology of type 1 diabetes.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                June 2012
                June 2012
                21 June 2012
                : 8
                : 6
                : e1002765
                Affiliations
                [1 ]Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
                [2 ]Department of Medicine, St. Luke's-Roosevelt Hospital Center, New York, New York, United States of America
                [3 ]Division of Nephrology, Department of Internal Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan
                [4 ]Department of Nephrology, RWTH University of Aachen, Aachen, Germany
                [5 ]Department of Genetics, Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, Connecticut, United States of America
                [6 ]Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China
                [7 ]University of Brescia and Second Division of Nephrology, Montichiari Hospital, Montichiari, Italy
                [8 ]Section of Nephrology, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
                [9 ]Nephrology and Dialysis Unit, Ciriè Hospital, Torino, Italy
                [10 ]Department of Genetics, Biology, and Biochemistry, University of Torino, Torino, Italy
                [11 ]Renal Division, DMCO, San Paolo Hospital, School of Medicine, University of Milan, Milan, Italy
                [12 ]Department of Nephrology, Second University of Naples, Naples, Italy
                [13 ]Departments of Microbiology and Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
                [14 ]Children's Foundation Research Center, Le Bonheur Children's Hospital, Memphis, Tennessee, United States of America
                [15 ]Division of Pediatric Nephrology, University of Tennessee Health Sciences Center, Memphis, Tennessee, United States of America
                [16 ]Department of Immunology, Transplantology, and Internal Medicine, Warsaw Medical University, Warsaw, Poland
                [17 ]Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
                [18 ]Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
                [19 ]The Estonian Genome Center, University of Tartu, Tartu, Estonia
                [20 ]Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
                [21 ]deCODE Genetics, Reykjavik, Iceland
                [22 ]Faculty of Medicine, University of Iceland, Reykjavík, Iceland
                [23 ]Centre National de Génotypage, CEA, Institut de Génomique, Evry, France
                [24 ]INSERM, Centre for Research in Epidemiology and Population Health, Villejuif, France
                [25 ]Nephrology, Dialysis, and Renal Transplantation Department, University North Hospital, Saint Etienne, France
                [26 ]Department of Medicine, Division of Nephrology, University Hospital, Würzburg, Germany
                [27 ]ERA–EDTA Registry, Department of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
                [28 ]Division of Clinical Nephrology and Rheumatology, Niigata University, Niigata, Japan
                [29 ]Department of Nephrology, 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
                [30 ]Clinical Research Center and Division of Nephrology, Al Rassoul Al-Aazam Hospital, Beirut, Lebanon
                [31 ]Nephrology Center and 2nd Department of Internal Medicine, Medical Faculty, University of Pécs, Pécs, Hungary
                [32 ]III Medizinische Klinik, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
                [33 ]Department of Nephrology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
                University of Oxford, United Kingdom
                Author notes

                Conceived and designed the experiments: K Kiryluk, AG Gharavi. Performed the experiments: K Kiryluk, Y Li, M Rohanizadegan, AG Gharavi. Analyzed the data: K Kiryluk, AG Gharavi. Contributed reagents/materials/analysis tools: M Choi, M Perola, K Kristiansson, A Viktorin, PK Magnusson, G Thorleifsson, U Thorsteinsdottir, K Stefansson, A Boland, C Wanner, KJ Jager, RP Lifton. Wrote the paper: K Kiryluk, AG Gharavi. DNA preparation: Y Li, M Rohanizadegan. Data management: Y Li, K Kiryluk. Subject recruitment and clinical characterization: S Sanna-Cherchi, H Suzuki, F Eitner, HJ Snyder, P Hou, F Scolari, C Izzi, M Gigante, L Gesualdo, S Savoldi, A Amoroso, D Cusi, P Zamboli, BA Julian, J Novak, RJ Wyatt, K Mucha, M Metzger, L Thibaudin, S Goto, D Maixnerova, HH Karnib, J Nagy, U Panzer, J Xie, N Chen, V Tesar, I Narita, F Berthoux, J Floege, B Stengel, H Zhang.

                Article
                PGENETICS-D-11-02636
                10.1371/journal.pgen.1002765
                3380840
                22737082
                ecb45d95-7230-43e4-b56f-176749ffe6f0
                Kiryluk 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
                : 5 December 2011
                : 30 April 2012
                Page count
                Pages: 16
                Categories
                Research Article
                Medicine
                Clinical Immunology
                Autoimmune Diseases
                Genetics of the Immune System
                Nephrology
                Chronic Kidney Disease

                Genetics
                Genetics

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