Literature DB >> 16691188

High-density SNP analysis of 642 Caucasian families with rheumatoid arthritis identifies two new linkage regions on 11p12 and 2q33.

C I Amos1, W V Chen, A Lee, W Li, M Kern, R Lundsten, F Batliwalla, M Wener, E Remmers, D A Kastner, L A Criswell, M F Seldin, P K Gregersen.   

Abstract

We have completed a genome wide linkage scan using >5700 informative single-nucleotide polymorphism (SNP) markers (Illumina IV SNP linkage panel) in 642 Caucasian families containing affected sibling pairs with rheumatoid arthritis (RA), ascertained by the North American Rheumatoid Arthritis Consortium. The results show striking new evidence of linkage at chromosomes 2q33 and 11p12 with logarithm of odds (LOD) scores of 3.52 and 3.09, respectively. In addition to a strong and broad linkage interval surrounding the major histocompatibility complex (LOD>16), regions with LOD>2.5 were observed on chromosomes 5 and 10. Additional linkage evidence (LOD scores between 1.46 and 2.35) was also observed on chromosomes 4, 7, 12, 16 and 18. This new evidence for multiple regions of genetic linkage is partly explained by the significantly increased information content of the Illumina IV SNP linkage panel (75.6%) compared with a standard microsatellite linkage panel utilized previously (mean 52.6%). Stratified analyses according to whether or not the sibling pair members showed elevated anticyclic citrullinated peptide titers indicates significant variation in evidence for linkage among strata on chromosomes 4, 5, 6 and 7. Overall, these new linkage data should reinvigorate efforts to utilize positional information to identify susceptibility genes for RA.

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Year:  2006        PMID: 16691188     DOI: 10.1038/sj.gene.6364295

Source DB:  PubMed          Journal:  Genes Immun        ISSN: 1466-4879            Impact factor:   2.676


  54 in total

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Authors:  A Thomas; N J Camp; J M Farnham; K Allen-Brady; L A Cannon-Albright
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5.  Accuracy and computational efficiency of a graphical modeling approach to linkage disequilibrium estimation.

Authors:  Haley J Abel; Alun Thomas
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6.  Evaluation of approaches to identify associated SNPs that explain the linkage evidence in nuclear families with affected siblings.

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Review 7.  Rheumatoid arthritis: a view of the current genetic landscape.

Authors:  M J H Coenen; P K Gregersen
Journal:  Genes Immun       Date:  2008-11-06       Impact factor: 2.676

8.  Handling linkage disequilibrium in qualitative trait linkage analysis using dense SNPs: a two-step strategy.

Authors:  Kelly Cho; Josée Dupuis
Journal:  BMC Genet       Date:  2009-08-10       Impact factor: 2.797

9.  Genome-wide association analyses of North American Rheumatoid Arthritis Consortium and Framingham Heart Study data utilizing genome-wide linkage results.

Authors:  Yun Joo Yoo; Dushanthi Pinnaduwage; Daryl Waggott; Shelley B Bull; Lei Sun
Journal:  BMC Proc       Date:  2009-12-15

10.  Adjusting for HLA-DRbeta1 in a genome-wide association analysis of rheumatoid arthritis and related biomarkers.

Authors:  Abigail G Matthews; Jia Li; Chunsheng He; Jurg Ott; Mariza de Andrade
Journal:  BMC Proc       Date:  2009-12-15
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