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One- and two-locus models for mapping rheumatoid arthritis-susceptibility genes on chromosome 6

To evaluate whether there is evidence for two rheumatoid arthritis (RA) susceptibility genes on chromosome 6, we applied new robust methods for two-locus multipoint identical-by-descent mapping to the rheumatoid arthritis data of the Genetic Analysis Workshop 15. The software GEEARP was used to esti...

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Detalles Bibliográficos
Autores principales: Schaid, Daniel J, Lin, Wan-Yu
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367548/
https://www.ncbi.nlm.nih.gov/pubmed/18466443
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author Schaid, Daniel J
Lin, Wan-Yu
author_facet Schaid, Daniel J
Lin, Wan-Yu
author_sort Schaid, Daniel J
collection PubMed
description To evaluate whether there is evidence for two rheumatoid arthritis (RA) susceptibility genes on chromosome 6, we applied new robust methods for two-locus multipoint identical-by-descent mapping to the rheumatoid arthritis data of the Genetic Analysis Workshop 15. The software GEEARP was used to estimate the locations and the corresponding genetic effects for one locus or two linked loci in a region on chromosome 6, on the basis of affected relative pairs. These methods were applied to the data sets from the North American Rheumatoid Arthritis Consortium, Canada, France, and the first screen of United Kingdom. From the resultant 95% confidence intervals given by a robust variance estimator, a linked region, other than the well-known HLA region, was at 54.7–69.6 cM, providing evidence for a second rheumatoid arthritis susceptibility locus on chromosome 6.
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spelling pubmed-23675482008-05-06 One- and two-locus models for mapping rheumatoid arthritis-susceptibility genes on chromosome 6 Schaid, Daniel J Lin, Wan-Yu BMC Proc Proceedings To evaluate whether there is evidence for two rheumatoid arthritis (RA) susceptibility genes on chromosome 6, we applied new robust methods for two-locus multipoint identical-by-descent mapping to the rheumatoid arthritis data of the Genetic Analysis Workshop 15. The software GEEARP was used to estimate the locations and the corresponding genetic effects for one locus or two linked loci in a region on chromosome 6, on the basis of affected relative pairs. These methods were applied to the data sets from the North American Rheumatoid Arthritis Consortium, Canada, France, and the first screen of United Kingdom. From the resultant 95% confidence intervals given by a robust variance estimator, a linked region, other than the well-known HLA region, was at 54.7–69.6 cM, providing evidence for a second rheumatoid arthritis susceptibility locus on chromosome 6. BioMed Central 2007-12-18 /pmc/articles/PMC2367548/ /pubmed/18466443 Text en Copyright © 2007 Schaid and Lin; 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
Schaid, Daniel J
Lin, Wan-Yu
One- and two-locus models for mapping rheumatoid arthritis-susceptibility genes on chromosome 6
title One- and two-locus models for mapping rheumatoid arthritis-susceptibility genes on chromosome 6
title_full One- and two-locus models for mapping rheumatoid arthritis-susceptibility genes on chromosome 6
title_fullStr One- and two-locus models for mapping rheumatoid arthritis-susceptibility genes on chromosome 6
title_full_unstemmed One- and two-locus models for mapping rheumatoid arthritis-susceptibility genes on chromosome 6
title_short One- and two-locus models for mapping rheumatoid arthritis-susceptibility genes on chromosome 6
title_sort one- and two-locus models for mapping rheumatoid arthritis-susceptibility genes on chromosome 6
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367548/
https://www.ncbi.nlm.nih.gov/pubmed/18466443
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