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Robust testing of haplotype/disease association
Haplotypes, the combination of closely linked alleles that fall on the same chromosome, show great promise for studying the genetic components of complex diseases. However, when only multilocus genotype data are available, statistical approaches need to be employed to resolve haplotype phase ambigui...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2005
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866713/ https://www.ncbi.nlm.nih.gov/pubmed/16451682 http://dx.doi.org/10.1186/1471-2156-6-S1-S69 |
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author | Allen, Andrew S Satten, Glen A |
author_facet | Allen, Andrew S Satten, Glen A |
author_sort | Allen, Andrew S |
collection | PubMed |
description | Haplotypes, the combination of closely linked alleles that fall on the same chromosome, show great promise for studying the genetic components of complex diseases. However, when only multilocus genotype data are available, statistical approaches need to be employed to resolve haplotype phase ambiguity. Recently, we have proposed an approach to testing and estimating haplotype/disease association that is invariant to any existing genetic structure in the population. Here we evaluate this approach by applying it to the Genetic Analysis Workshop 14 simulated data. |
format | Text |
id | pubmed-1866713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-18667132007-05-11 Robust testing of haplotype/disease association Allen, Andrew S Satten, Glen A BMC Genet Proceedings Haplotypes, the combination of closely linked alleles that fall on the same chromosome, show great promise for studying the genetic components of complex diseases. However, when only multilocus genotype data are available, statistical approaches need to be employed to resolve haplotype phase ambiguity. Recently, we have proposed an approach to testing and estimating haplotype/disease association that is invariant to any existing genetic structure in the population. Here we evaluate this approach by applying it to the Genetic Analysis Workshop 14 simulated data. BioMed Central 2005-12-30 /pmc/articles/PMC1866713/ /pubmed/16451682 http://dx.doi.org/10.1186/1471-2156-6-S1-S69 Text en Copyright © 2005 Allen and Satten; 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 Allen, Andrew S Satten, Glen A Robust testing of haplotype/disease association |
title | Robust testing of haplotype/disease association |
title_full | Robust testing of haplotype/disease association |
title_fullStr | Robust testing of haplotype/disease association |
title_full_unstemmed | Robust testing of haplotype/disease association |
title_short | Robust testing of haplotype/disease association |
title_sort | robust testing of haplotype/disease association |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866713/ https://www.ncbi.nlm.nih.gov/pubmed/16451682 http://dx.doi.org/10.1186/1471-2156-6-S1-S69 |
work_keys_str_mv | AT allenandrews robusttestingofhaplotypediseaseassociation AT sattenglena robusttestingofhaplotypediseaseassociation |