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Use of supplementary phenotype to identify additional rheumatoid arthritis loci in a linkage analysis of 342 UK affected sibling pair families

BACKGROUND: Although rheumatoid arthritis has been shown to have moderately strong genetic component, both linked loci identified in linkage analyses and susceptibility variants from association studies are short of adequately accounting for a comprehensive catalogue of the molecular factors underly...

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Autores principales: Tayo, Bamidele O, Liang, Yulan, Kelemen, Arpad, Miller, Austin, Trevisan, Maurizio, Cooper, Richard S
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2803785/
https://www.ncbi.nlm.nih.gov/pubmed/20025759
http://dx.doi.org/10.1186/1471-2350-10-142
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author Tayo, Bamidele O
Liang, Yulan
Kelemen, Arpad
Miller, Austin
Trevisan, Maurizio
Cooper, Richard S
author_facet Tayo, Bamidele O
Liang, Yulan
Kelemen, Arpad
Miller, Austin
Trevisan, Maurizio
Cooper, Richard S
author_sort Tayo, Bamidele O
collection PubMed
description BACKGROUND: Although rheumatoid arthritis has been shown to have moderately strong genetic component, both linked loci identified in linkage analyses and susceptibility variants from association studies are short of adequately accounting for a comprehensive catalogue of the molecular factors underlying this complex disease. The objective of this study was to use supplementary phenotype based on cumulative hazard of rheumatoid arthritis to identify linkage evidence for new and additional rheumatoid arthritis loci in a genome-wide linkage analysis of 342 affected sibling pair families from the United Kingdom. METHODS: Using proportional hazards model, we estimated cumulative hazard of rheumatoid arthritis and then used it as a quantitative trait in a non-parametric multipoint variance component linkage analysis with 353 microsatellite markers distributed across the 22 autosomal chromosomes. RESULTS: We identified 3 new loci with genome-wide suggestive linkage evidence for rheumatoid arthritis on 9q21.13, 15p11.1 and 20q13.33. Our results also confirmed previously reported linkage evidence in the HLA-DRB1 region on chromosome 6 and on locus 1q32.1. CONCLUSION: This study demonstrates the potential for information gain through the use of supplementary phenotypes in genetic study of complex diseases to identify new and additional potential linked loci that are not detected by linkage analysis of traditional phenotypes; and our results provide further evidence of the involvement of multiple loci in the genetic aetiology of rheumatoid arthritis.
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spelling pubmed-28037852010-01-10 Use of supplementary phenotype to identify additional rheumatoid arthritis loci in a linkage analysis of 342 UK affected sibling pair families Tayo, Bamidele O Liang, Yulan Kelemen, Arpad Miller, Austin Trevisan, Maurizio Cooper, Richard S BMC Med Genet Research article BACKGROUND: Although rheumatoid arthritis has been shown to have moderately strong genetic component, both linked loci identified in linkage analyses and susceptibility variants from association studies are short of adequately accounting for a comprehensive catalogue of the molecular factors underlying this complex disease. The objective of this study was to use supplementary phenotype based on cumulative hazard of rheumatoid arthritis to identify linkage evidence for new and additional rheumatoid arthritis loci in a genome-wide linkage analysis of 342 affected sibling pair families from the United Kingdom. METHODS: Using proportional hazards model, we estimated cumulative hazard of rheumatoid arthritis and then used it as a quantitative trait in a non-parametric multipoint variance component linkage analysis with 353 microsatellite markers distributed across the 22 autosomal chromosomes. RESULTS: We identified 3 new loci with genome-wide suggestive linkage evidence for rheumatoid arthritis on 9q21.13, 15p11.1 and 20q13.33. Our results also confirmed previously reported linkage evidence in the HLA-DRB1 region on chromosome 6 and on locus 1q32.1. CONCLUSION: This study demonstrates the potential for information gain through the use of supplementary phenotypes in genetic study of complex diseases to identify new and additional potential linked loci that are not detected by linkage analysis of traditional phenotypes; and our results provide further evidence of the involvement of multiple loci in the genetic aetiology of rheumatoid arthritis. BioMed Central 2009-12-21 /pmc/articles/PMC2803785/ /pubmed/20025759 http://dx.doi.org/10.1186/1471-2350-10-142 Text en Copyright ©2009 Tayo et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research article
Tayo, Bamidele O
Liang, Yulan
Kelemen, Arpad
Miller, Austin
Trevisan, Maurizio
Cooper, Richard S
Use of supplementary phenotype to identify additional rheumatoid arthritis loci in a linkage analysis of 342 UK affected sibling pair families
title Use of supplementary phenotype to identify additional rheumatoid arthritis loci in a linkage analysis of 342 UK affected sibling pair families
title_full Use of supplementary phenotype to identify additional rheumatoid arthritis loci in a linkage analysis of 342 UK affected sibling pair families
title_fullStr Use of supplementary phenotype to identify additional rheumatoid arthritis loci in a linkage analysis of 342 UK affected sibling pair families
title_full_unstemmed Use of supplementary phenotype to identify additional rheumatoid arthritis loci in a linkage analysis of 342 UK affected sibling pair families
title_short Use of supplementary phenotype to identify additional rheumatoid arthritis loci in a linkage analysis of 342 UK affected sibling pair families
title_sort use of supplementary phenotype to identify additional rheumatoid arthritis loci in a linkage analysis of 342 uk affected sibling pair families
topic Research article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2803785/
https://www.ncbi.nlm.nih.gov/pubmed/20025759
http://dx.doi.org/10.1186/1471-2350-10-142
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