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Haplotype association analysis of North American Rheumatoid Arthritis Consortium data using a generalized linear model with regularization
The Genetic Analysis Workshop 16 rheumatoid arthritis data include a set of 868 cases and 1194 controls genotyped at 545,080 single-nucleotide polymorphisms (SNPs) from the Illumina 550 k chip. We focus on investigating chromosomes 6 and 18, which have 35,574 and 16,450 SNPs, respectively. Associati...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795930/ https://www.ncbi.nlm.nih.gov/pubmed/20018023 |
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author | Guo, Wei Liang, Chin-yuan Lin, Shili |
author_facet | Guo, Wei Liang, Chin-yuan Lin, Shili |
author_sort | Guo, Wei |
collection | PubMed |
description | The Genetic Analysis Workshop 16 rheumatoid arthritis data include a set of 868 cases and 1194 controls genotyped at 545,080 single-nucleotide polymorphisms (SNPs) from the Illumina 550 k chip. We focus on investigating chromosomes 6 and 18, which have 35,574 and 16,450 SNPs, respectively. Association studies, including single SNP and haplotype-based analyses, were applied to the data on those two chromosomes. Specifically, we conducted a generalized linear model with regularization (rGLM) approach for detecting disease-haplotype association using unphased SNP data. A total of 444 and 43 four-SNP tests were found to be significant at the Bonferroni corrected 5% significance level on chromosome 6 and 18, respectively. |
format | Text |
id | pubmed-2795930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27959302009-12-18 Haplotype association analysis of North American Rheumatoid Arthritis Consortium data using a generalized linear model with regularization Guo, Wei Liang, Chin-yuan Lin, Shili BMC Proc Proceedings The Genetic Analysis Workshop 16 rheumatoid arthritis data include a set of 868 cases and 1194 controls genotyped at 545,080 single-nucleotide polymorphisms (SNPs) from the Illumina 550 k chip. We focus on investigating chromosomes 6 and 18, which have 35,574 and 16,450 SNPs, respectively. Association studies, including single SNP and haplotype-based analyses, were applied to the data on those two chromosomes. Specifically, we conducted a generalized linear model with regularization (rGLM) approach for detecting disease-haplotype association using unphased SNP data. A total of 444 and 43 four-SNP tests were found to be significant at the Bonferroni corrected 5% significance level on chromosome 6 and 18, respectively. BioMed Central 2009-12-15 /pmc/articles/PMC2795930/ /pubmed/20018023 Text en Copyright ©2009 Guo 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 Guo, Wei Liang, Chin-yuan Lin, Shili Haplotype association analysis of North American Rheumatoid Arthritis Consortium data using a generalized linear model with regularization |
title | Haplotype association analysis of North American Rheumatoid Arthritis Consortium data using a generalized linear model with regularization |
title_full | Haplotype association analysis of North American Rheumatoid Arthritis Consortium data using a generalized linear model with regularization |
title_fullStr | Haplotype association analysis of North American Rheumatoid Arthritis Consortium data using a generalized linear model with regularization |
title_full_unstemmed | Haplotype association analysis of North American Rheumatoid Arthritis Consortium data using a generalized linear model with regularization |
title_short | Haplotype association analysis of North American Rheumatoid Arthritis Consortium data using a generalized linear model with regularization |
title_sort | haplotype association analysis of north american rheumatoid arthritis consortium data using a generalized linear model with regularization |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795930/ https://www.ncbi.nlm.nih.gov/pubmed/20018023 |
work_keys_str_mv | AT guowei haplotypeassociationanalysisofnorthamericanrheumatoidarthritisconsortiumdatausingageneralizedlinearmodelwithregularization AT liangchinyuan haplotypeassociationanalysisofnorthamericanrheumatoidarthritisconsortiumdatausingageneralizedlinearmodelwithregularization AT linshili haplotypeassociationanalysisofnorthamericanrheumatoidarthritisconsortiumdatausingageneralizedlinearmodelwithregularization |