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Linkage analysis merging replicate phenotypes: an application to three quantitative phenotypes in two African samples
We report two approaches for linkage analysis of data consisting of replicate phenotypes. The first approach is specifically designed for the unusual (in human data) replicate structure of the Genetic Analysis Workshop 17 pedigree data. The second approach consists of a standard linkage analysis tha...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287922/ https://www.ncbi.nlm.nih.gov/pubmed/22373343 http://dx.doi.org/10.1186/1753-6561-5-S9-S81 |
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author | Hinrichs, Anthony L Culverhouse, Robert C Suarez, Brian K |
author_facet | Hinrichs, Anthony L Culverhouse, Robert C Suarez, Brian K |
author_sort | Hinrichs, Anthony L |
collection | PubMed |
description | We report two approaches for linkage analysis of data consisting of replicate phenotypes. The first approach is specifically designed for the unusual (in human data) replicate structure of the Genetic Analysis Workshop 17 pedigree data. The second approach consists of a standard linkage analysis that, although not specifically tailored to data consisting of replicate genotypes, was envisioned as providing a sounding board against which our novel approach could be assessed. Both approaches are applied to the analysis of three quantitative phenotypes (Q1, Q2, and Q4) in two sets of African families. All analyses were carried out blind to the generating model (i.e., the “answers”). Using both methods, we found numerous significant linkage signals for Q1, although population colocalization was absent for most of these signals. The linkage analysis of Q2 and Q4 failed to reveal any strong linkage signals. |
format | Online Article Text |
id | pubmed-3287922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32879222012-02-28 Linkage analysis merging replicate phenotypes: an application to three quantitative phenotypes in two African samples Hinrichs, Anthony L Culverhouse, Robert C Suarez, Brian K BMC Proc Proceedings We report two approaches for linkage analysis of data consisting of replicate phenotypes. The first approach is specifically designed for the unusual (in human data) replicate structure of the Genetic Analysis Workshop 17 pedigree data. The second approach consists of a standard linkage analysis that, although not specifically tailored to data consisting of replicate genotypes, was envisioned as providing a sounding board against which our novel approach could be assessed. Both approaches are applied to the analysis of three quantitative phenotypes (Q1, Q2, and Q4) in two sets of African families. All analyses were carried out blind to the generating model (i.e., the “answers”). Using both methods, we found numerous significant linkage signals for Q1, although population colocalization was absent for most of these signals. The linkage analysis of Q2 and Q4 failed to reveal any strong linkage signals. BioMed Central 2011-11-29 /pmc/articles/PMC3287922/ /pubmed/22373343 http://dx.doi.org/10.1186/1753-6561-5-S9-S81 Text en Copyright ©2011 Hinrichs 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 Hinrichs, Anthony L Culverhouse, Robert C Suarez, Brian K Linkage analysis merging replicate phenotypes: an application to three quantitative phenotypes in two African samples |
title | Linkage analysis merging replicate phenotypes: an application to three quantitative phenotypes in two African samples |
title_full | Linkage analysis merging replicate phenotypes: an application to three quantitative phenotypes in two African samples |
title_fullStr | Linkage analysis merging replicate phenotypes: an application to three quantitative phenotypes in two African samples |
title_full_unstemmed | Linkage analysis merging replicate phenotypes: an application to three quantitative phenotypes in two African samples |
title_short | Linkage analysis merging replicate phenotypes: an application to three quantitative phenotypes in two African samples |
title_sort | linkage analysis merging replicate phenotypes: an application to three quantitative phenotypes in two african samples |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287922/ https://www.ncbi.nlm.nih.gov/pubmed/22373343 http://dx.doi.org/10.1186/1753-6561-5-S9-S81 |
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