Analysis of families in the multiple autoimmune disease genetics consortium (MADGC) collection:: the PTPN22 620W allele associates with multiple autoimmune phenotypes
Analysis of families in the multiple autoimmune disease genetics consortium (MADGC) collection:: the PTPN22 620W allele associates with multiple autoimmune phenotypes
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DOI:
10.1086/429096
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发表时间:
2005-04-01
影响因子:
9.8
通讯作者:
Gregersen, PK
中科院分区:
文献类型:
--
作者:
Criswell, LA;Pfeiffer, KA;Gregersen, PK
Autoimmune disorders constitute a diverse group of phenotypes with overlapping features and a tendency toward familial aggregation. It is likely that common underlying genes are involved in these disorders. Until very recently, no specific alleles - aside from a few common human leukocyte antigen class II genes - had been identified that clearly associate with multiple different autoimmune diseases. In this study, we describe a unique collection of 265 multiplex families assembled by the Multiple Autoimmune Disease Genetics Consortium ( MADGC). At least two of nine "core" autoimmune diseases are present in each of these families. These core diseases include rheumatoid arthritis ( RA), systemic lupus erythematosus (SLE), type 1 diabetes (T1D), multiple sclerosis ( MS), autoimmune thyroid disease ( Hashimoto thyroiditis or Graves disease), juvenile RA, inflammatory bowel disease ( Crohn disease or ulcerative colitis), psoriasis, and primary Sjogren syndrome. We report that a recently described functional single-nucleotide polymorphism (rs2476601, encoding R620W) in the intracellular tyrosine phosphatase (PTPN22) confers risk of four separate autoimmune phenotypes in these families: T1D, RA, SLE, and Hashimoto thyroiditis. MS did not show association with the PTPN22 risk allele. These findings suggest a common underlying etiologic pathway for some, but not all, autoimmune disorders, and they suggest that MS may have a pathogenesis that is distinct from RA, SLE, and T1D. DNA and clinical data for the MADGC families are available to the scientific community; these data will provide a valuable resource for the dissection of the complex genetic factors that underlie the various autoimmune phenotypes.