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Genome-wide linkage analysis of systolic blood pressure: a comparison of two approaches to phenotype definition
Problem 1 of the Genetic Analysis Workshop 13(GAW13) contains longitudinal data of cardiovascular measurements from 330 pedigrees. The longitudinal data complicates the phenotype definition because multiple measurements are taken on each individual. To address this complication, we propose an approa...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2003
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866447/ https://www.ncbi.nlm.nih.gov/pubmed/14975081 http://dx.doi.org/10.1186/1471-2156-4-S1-S13 |
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author | Slager, Susan L Iturria, Stephen J |
author_facet | Slager, Susan L Iturria, Stephen J |
author_sort | Slager, Susan L |
collection | PubMed |
description | Problem 1 of the Genetic Analysis Workshop 13(GAW13) contains longitudinal data of cardiovascular measurements from 330 pedigrees. The longitudinal data complicates the phenotype definition because multiple measurements are taken on each individual. To address this complication, we propose an approach that uses generalized estimating equations to obtain residuals for each time point for each person. The mean residual is then taken as the new phenotype with which to use in a variance components linkage analysis. We compare our phenotype definition approach to an approach that first reduces the multiple measurements to a single measurement and then models these summary statistics as regression terms in a variance components analysis. For each approach, multipoint linkage analysis was performed using the residuals and the SOLAR computer program. Our results show little difference between the methods based on the LOD scores. |
format | Text |
id | pubmed-1866447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-18664472007-05-11 Genome-wide linkage analysis of systolic blood pressure: a comparison of two approaches to phenotype definition Slager, Susan L Iturria, Stephen J BMC Genet Proceedings Problem 1 of the Genetic Analysis Workshop 13(GAW13) contains longitudinal data of cardiovascular measurements from 330 pedigrees. The longitudinal data complicates the phenotype definition because multiple measurements are taken on each individual. To address this complication, we propose an approach that uses generalized estimating equations to obtain residuals for each time point for each person. The mean residual is then taken as the new phenotype with which to use in a variance components linkage analysis. We compare our phenotype definition approach to an approach that first reduces the multiple measurements to a single measurement and then models these summary statistics as regression terms in a variance components analysis. For each approach, multipoint linkage analysis was performed using the residuals and the SOLAR computer program. Our results show little difference between the methods based on the LOD scores. BioMed Central 2003-12-31 /pmc/articles/PMC1866447/ /pubmed/14975081 http://dx.doi.org/10.1186/1471-2156-4-S1-S13 Text en Copyright © 2003 Slager and Iturria; 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 Slager, Susan L Iturria, Stephen J Genome-wide linkage analysis of systolic blood pressure: a comparison of two approaches to phenotype definition |
title | Genome-wide linkage analysis of systolic blood pressure: a comparison of two approaches to phenotype definition |
title_full | Genome-wide linkage analysis of systolic blood pressure: a comparison of two approaches to phenotype definition |
title_fullStr | Genome-wide linkage analysis of systolic blood pressure: a comparison of two approaches to phenotype definition |
title_full_unstemmed | Genome-wide linkage analysis of systolic blood pressure: a comparison of two approaches to phenotype definition |
title_short | Genome-wide linkage analysis of systolic blood pressure: a comparison of two approaches to phenotype definition |
title_sort | genome-wide linkage analysis of systolic blood pressure: a comparison of two approaches to phenotype definition |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866447/ https://www.ncbi.nlm.nih.gov/pubmed/14975081 http://dx.doi.org/10.1186/1471-2156-4-S1-S13 |
work_keys_str_mv | AT slagersusanl genomewidelinkageanalysisofsystolicbloodpressureacomparisonoftwoapproachestophenotypedefinition AT iturriastephenj genomewidelinkageanalysisofsystolicbloodpressureacomparisonoftwoapproachestophenotypedefinition |