Mapping a gene for rheumatoid arthritis on chromosome 18q21
Mapping a gene for rheumatoid arthritis on chromosome 18q21
Although single chi-square analysis of the North American Rheumatoid Arthritis Consortium (NARAC) data identifies many single-nucleotide polymorphisms (SNPs) with p-values less than 0.05, none remain significant after Bonferroni correction. In contrast, CHROMSCAN evades heavy Bonferroni correction and auto-correlation between SNPs by using composite likelihood to model association across all markers in a region and permutation to assess significance. Analysis by CHROMSCAN identifies a 36-kb interval that includes the most significant SNP (msSNP) observed in a 10-Mb target suggested by linkage. Unexpectedly, stratification by gender and age of onset shows that association evidence comes almost entirely from females with age of onset less than 40. Combining evidence from a meta-analysis of linkage studies and three subsets of the NARAC data provides significant evidence for a determinant of rheumatoid arthritis in a 36-kb interval and illustrates the principle that estimates of location and its information are more powerful than estimates of p-values alone.
human, rheumatoid arthritis, genetics, age of onset, analysis, female, meta-analysis
S18
Tapper, William
9d5ddc92-a8dd-4c78-ac67-c5867b62724c
Collins, Andrew
dfaf2088-2c1c-44b3-a347-c18b66a2082d
Morton, Newton E
c668e2be-074a-4a0a-a2ca-e8f51830ebb7
18 December 2007
Tapper, William
9d5ddc92-a8dd-4c78-ac67-c5867b62724c
Collins, Andrew
dfaf2088-2c1c-44b3-a347-c18b66a2082d
Morton, Newton E
c668e2be-074a-4a0a-a2ca-e8f51830ebb7
Tapper, William, Collins, Andrew and Morton, Newton E
(2007)
Mapping a gene for rheumatoid arthritis on chromosome 18q21.
BMC Proceedings, 1 Suppl 1 (Suppl 1), .
(doi:10.1186/1753-6561-1-s1-s18).
Abstract
Although single chi-square analysis of the North American Rheumatoid Arthritis Consortium (NARAC) data identifies many single-nucleotide polymorphisms (SNPs) with p-values less than 0.05, none remain significant after Bonferroni correction. In contrast, CHROMSCAN evades heavy Bonferroni correction and auto-correlation between SNPs by using composite likelihood to model association across all markers in a region and permutation to assess significance. Analysis by CHROMSCAN identifies a 36-kb interval that includes the most significant SNP (msSNP) observed in a 10-Mb target suggested by linkage. Unexpectedly, stratification by gender and age of onset shows that association evidence comes almost entirely from females with age of onset less than 40. Combining evidence from a meta-analysis of linkage studies and three subsets of the NARAC data provides significant evidence for a determinant of rheumatoid arthritis in a 36-kb interval and illustrates the principle that estimates of location and its information are more powerful than estimates of p-values alone.
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1753-6561-1-S1-S18.pdf
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Published date: 18 December 2007
Additional Information:
Genetic Analysis Workshop 15: Gene Expression Analysis and Approaches to Detecting Multiple Functional Loci. St. Pete Beach, Florida, USA. 11–15 November 2006
Keywords:
human, rheumatoid arthritis, genetics, age of onset, analysis, female, meta-analysis
Identifiers
Local EPrints ID: 60284
URI: http://eprints.soton.ac.uk/id/eprint/60284
ISSN: 1753-6561
PURE UUID: 839154eb-29e3-45fa-8209-9a76d4f40d04
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Date deposited: 23 Mar 2009
Last modified: 16 Mar 2024 03:07
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Author:
Andrew Collins
Author:
Newton E Morton
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