4.7 Article

Gene-gene and gene-environment interactions involving HLA-DRB1, PTPN22, and smoking in two subsets of rheumatoid arthritis

Journal

AMERICAN JOURNAL OF HUMAN GENETICS
Volume 80, Issue 5, Pages 867-875

Publisher

UNIV CHICAGO PRESS
DOI: 10.1086/516736

Keywords

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Funding

  1. NIAMS NIH HHS [N01-AR-2-2263, R01 AR44422, R01 AR044422] Funding Source: Medline

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Gene-gene and gene-environment interactions are key features in the development of rheumatoid arthritis ( RA) and other complex diseases. The aim of this study was to use and compare three different definitions of interaction between the two major genetic risk factors of RA - the HLA-DRB1 shared epitope ( SE) alleles and the PTPN22 R620W allele - in three large case-control studies: the Swedish Epidemiological Investigation of Rheumatoid Arthritis (EIRA) study, the North American RA Consortium (NARAC) study, and the Dutch Leiden Early Arthritis Clinic study ( in total, 1,977 cases and 2,405 controls). The EIRA study was also used to analyze interactions between smoking and the two genes. Interaction was defined either as a departure from additivity, as interaction in a multiplicative model, or in terms of linkage disequilibrium - for example, deviation from independence of penetrance of two unlinked loci. Consistent interaction, defined as departure from additivity, between HLA- DRB1 SE alleles and the A allele of PTPN22 R620W was seen in all three studies regarding anti-CCP-positive RA. Testing for multiplicative interactions demonstrated an interaction between the two genes only when the three studies were pooled. The linkage disequilibrium approach indicated a gene-gene interaction in EIRA and NARAC, as well as in the pooled analysis. No interaction was seen between smoking and PTPN22 R620W. A new pattern of interactions is described between the two major known genetic risk factors and the major environmental risk factor concerning the risk of developing anti-CCP - positive RA. The data extend the basis for a pathogenetic hypothesis for RA involving genetic and environmental factors. The study also raises and illustrates principal questions concerning ways to define interactions in complex diseases.

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