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Genetic fine mapping of systemic lupus erythematosus MHC associations in Europeans and African Americans.
Hanscombe, Ken B; Morris, David L; Noble, Janelle A; Dilthey, Alexander T; Tombleson, Philip; Kaufman, Kenneth M; Comeau, Mary; Langefeld, Carl D; Alarcon-Riquelme, Marta E; Gaffney, Patrick M; Jacob, Chaim O; Sivils, Kathy L; Tsao, Betty P; Alarcon, Graciela S; Brown, Elizabeth E; Croker, Jennifer; Edberg, Jeff; Gilkeson, Gary; James, Judith A; Kamen, Diane L; Kelly, Jennifer A; McCune, Joseph; Merrill, Joan T; Petri, Michelle; Ramsey-Goldman, Rosalind; Reveille, John D; Salmon, Jane E; Scofield, Hal; Utset, Tammy; Wallace, Daniel J; Weisman, Michael H; Kimberly, Robert P; Harley, John B; Lewis, Cathryn M; Criswell, Lindsey A; Vyse, Timothy J.
Afiliação
  • Hanscombe KB; Department of Medical and Molecular Genetics, King's College London, London, UK.
  • Morris DL; Department of Medical and Molecular Genetics, King's College London, London, UK.
  • Noble JA; CHORI, Children's Hospital Oakland Research Institute, Oakland, California, USA.
  • Dilthey AT; Wellcome Trust Centre for Human Genetics, University of Oxford, UK.
  • Tombleson P; Department of Medical and Molecular Genetics, King's College London, London, UK.
  • Kaufman KM; Center for Autoimmune Genomics and Etiology (CAGE), Department of Pediatrics, Cincinnati Children's Medical Center & University of Cincinnati and the US Department of Veterans Affairs Medical Center, Cincinnati, OH, USA.
  • Comeau M; Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
  • Langefeld CD; Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
  • Alarcon-Riquelme ME; Pfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research (GENYO), Granada, Spain.
  • Gaffney PM; Unit of Chronic Inflammation, Institute of Environmental Medicine, Karolinska Institute, Sweden.
  • Jacob CO; Arthritis & Clinical Immunology Research Program, Division of Genomics and Data Sciences, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
  • Sivils KL; Keck School of Medicine of USC, Los Angeles, CA, USA.
  • Tsao BP; Arthritis & Clinical Immunology Research Program, Division of Genomics and Data Sciences, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
  • Alarcon GS; Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Brown EE; Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Croker J; Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Edberg J; Center for Clinical and Translational Science, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Gilkeson G; Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA.
  • James JA; Division of Rheumatology, Medical University of South Carolina, Charleston, SC, USA.
  • Kamen DL; Arthritis & Clinical Immunology Research Program, Division of Genomics and Data Sciences, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
  • Kelly JA; Division of Rheumatology, Cedars Sinai Medical Center, Los Angeles, CA, USA.
  • McCune J; Division of Rheumatology, Medical University of South Carolina, Charleston, SC, USA.
  • Merrill JT; Arthritis & Clinical Immunology Research Program, Division of Genomics and Data Sciences, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
  • Petri M; Michigan Medicine Rheumatology Clinic,Taubman Center Floor 3 Reception A, 1500 E Medical Center Dr SPC 5358, Ann Arbor, MI, USA.
  • Ramsey-Goldman R; Oklahoma Medical Research Foundation,825 N.E. 13th Street, Oklahoma City, OK, USA.
  • Reveille JD; Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Salmon JE; Feinberg School of Medicine,McGaw Pavilion Suite M-300, 240 E Huron, Chicago, IL, USA.
  • Scofield H; Department of Internal Medicine, The University of Texas, Fannin, MSB, Houston, TX, USA.
  • Utset T; Division of Rheumatology, Hospital for Special Surgery-Weill Cornell Medicine, New York, NY, USA.
  • Wallace DJ; Arthritis & Clinical Immunology Research Program, Division of Genomics and Data Sciences, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
  • Weisman MH; Oklahoma Clinical and Translational Science Institute,University of Oklahoma Health Sciences Center, 920 NE Stanton L. Young, Oklahoma City, OK, USA.
  • Kimberly RP; University of Chicago Pritzker School of Medicine, Chicago, IL, USA.
  • Harley JB; Division of Rheumatology, Cedars Sinai Medical Center, Los Angeles, CA, USA.
  • Lewis CM; Division of Rheumatology, Cedars Sinai Medical Center, Los Angeles, CA, USA.
  • Criswell LA; Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Vyse TJ; Center for Autoimmune Genomics and Etiology (CAGE), Department of Pediatrics, Cincinnati Children's Medical Center & University of Cincinnati and the US Department of Veterans Affairs Medical Center, Cincinnati, OH, USA.
Hum Mol Genet ; 27(21): 3813-3824, 2018 11 01.
Article em En | MEDLINE | ID: mdl-30085094
ABSTRACT
Genetic variation within the major histocompatibility complex (MHC) contributes substantial risk for systemic lupus erythematosus, but high gene density, extreme polymorphism and extensive linkage disequilibrium (LD) have made fine mapping challenging. To address the problem, we compared two association techniques in two ancestrally diverse populations, African Americans (AAs) and Europeans (EURs). We observed a greater number of Human Leucocyte Antigen (HLA) alleles in AA consistent with the elevated level of recombination in this population. In EUR we observed 50 different A-C-B-DRB1-DQA-DQB multilocus haplotype sequences per hundred individuals; in the AA sample, these multilocus haplotypes were twice as common compared to Europeans. We also observed a strong narrow class II signal in AA as opposed to the long-range LD observed in EUR that includes class I alleles. We performed a Bayesian model choice of the classical HLA alleles and a frequentist analysis that combined both single nucleotide polymorphisms (SNPs) and classical HLA alleles. Both analyses converged on a similar subset of risk HLA alleles in EUR HLA- B*0801 + B*1801 + (DRB1*1501 frequentist only) + DQA*0102 + DQB*0201 + DRB3*02 and in AA HLA-C*1701 + B*0801 + DRB1*1503 + (DQA*0102 frequentist only) + DQA*0201 + DQA*0501+ DQA*0505 + DQB*0319 + DQB*0202. We observed two additional independent SNP associations in both populations EUR rs146903072 and rs501480; AA rs389883 and rs114118665. The DR2 serotype was best explained by DRB1*1503 + DQA*0102 in AA and by DRB1*1501 + DQA*0102 in EUR. The DR3 serotype was best explained by DQA*0501 in AA and by DQB*0201 in EUR. Despite some differences in underlying HLA allele risk models in EUR and AA, SNP signals across the extended MHC showed remarkable similarity and significant concordance in direction of effect for risk-associated variants.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Polimorfismo de Nucleotídeo Único / Lúpus Eritematoso Sistêmico / Complexo Principal de Histocompatibilidade Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Polimorfismo de Nucleotídeo Único / Lúpus Eritematoso Sistêmico / Complexo Principal de Histocompatibilidade Idioma: En Ano de publicação: 2018 Tipo de documento: Article