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Two-dimensional linkage analyses of rheumatoid arthritis

Rheumatoid arthritis (RA) is a multifactorial disease with complex genetic etiology, about which little is known. Here, we apply a two-stage procedure in which a quick first-stage analysis was used to narrow down targets for a more thorough and detailed testing for gene × gene interaction. Potential...

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Autores principales: Mukhopadhyay, Nandita, Halder, Indrani, Bhattacharjee, Samsiddhi, Weeks, Daniel E
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367460/
https://www.ncbi.nlm.nih.gov/pubmed/18466569
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author Mukhopadhyay, Nandita
Halder, Indrani
Bhattacharjee, Samsiddhi
Weeks, Daniel E
author_facet Mukhopadhyay, Nandita
Halder, Indrani
Bhattacharjee, Samsiddhi
Weeks, Daniel E
author_sort Mukhopadhyay, Nandita
collection PubMed
description Rheumatoid arthritis (RA) is a multifactorial disease with complex genetic etiology, about which little is known. Here, we apply a two-stage procedure in which a quick first-stage analysis was used to narrow down targets for a more thorough and detailed testing for gene × gene interaction. Potentially interesting regions were first identified by testing for major gene effects using non-parametric linkage methods. To select regions of interest, we first tested for linkage to three different RA-related traits one at a time: RA affection status and the quantitative phenotypes rheumatoid factor IgM and anti-cyclic citrullinated peptide levels. These linkage analyses identified regions on chromosomes 3, 5, 6, 8, 16, 18, 19, and 20. We subsequently analyzed the selected regions in a pairwise manner to detect gene × gene interactions influencing RA using a recently developed two-dimensional linkage method. We found evidence of interacting loci on chromosomes 5, 6, and 18.
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spelling pubmed-23674602008-05-06 Two-dimensional linkage analyses of rheumatoid arthritis Mukhopadhyay, Nandita Halder, Indrani Bhattacharjee, Samsiddhi Weeks, Daniel E BMC Proc Proceedings Rheumatoid arthritis (RA) is a multifactorial disease with complex genetic etiology, about which little is known. Here, we apply a two-stage procedure in which a quick first-stage analysis was used to narrow down targets for a more thorough and detailed testing for gene × gene interaction. Potentially interesting regions were first identified by testing for major gene effects using non-parametric linkage methods. To select regions of interest, we first tested for linkage to three different RA-related traits one at a time: RA affection status and the quantitative phenotypes rheumatoid factor IgM and anti-cyclic citrullinated peptide levels. These linkage analyses identified regions on chromosomes 3, 5, 6, 8, 16, 18, 19, and 20. We subsequently analyzed the selected regions in a pairwise manner to detect gene × gene interactions influencing RA using a recently developed two-dimensional linkage method. We found evidence of interacting loci on chromosomes 5, 6, and 18. BioMed Central 2007-12-18 /pmc/articles/PMC2367460/ /pubmed/18466569 Text en Copyright © 2007 Mukhopadhyay 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 Proceedings
Mukhopadhyay, Nandita
Halder, Indrani
Bhattacharjee, Samsiddhi
Weeks, Daniel E
Two-dimensional linkage analyses of rheumatoid arthritis
title Two-dimensional linkage analyses of rheumatoid arthritis
title_full Two-dimensional linkage analyses of rheumatoid arthritis
title_fullStr Two-dimensional linkage analyses of rheumatoid arthritis
title_full_unstemmed Two-dimensional linkage analyses of rheumatoid arthritis
title_short Two-dimensional linkage analyses of rheumatoid arthritis
title_sort two-dimensional linkage analyses of rheumatoid arthritis
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367460/
https://www.ncbi.nlm.nih.gov/pubmed/18466569
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