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Quantitative trait linkage analysis of longitudinal change in body weight
One of the great strengths of the Framingham Heart Study data, provided for the Genetic Analysis Workshop 13, is the long-term survey of phenotypic data. We used this unique data to create new phenotypes representing the pattern of longitudinal change of the provided phenotypes, especially systolic...
Autores principales: | , , , |
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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/PMC1866508/ https://www.ncbi.nlm.nih.gov/pubmed/14975075 http://dx.doi.org/10.1186/1471-2156-4-S1-S7 |
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author | Golla, Astrid Strauch, Konstantin Dietter, Johannes Baur, Max P |
author_facet | Golla, Astrid Strauch, Konstantin Dietter, Johannes Baur, Max P |
author_sort | Golla, Astrid |
collection | PubMed |
description | One of the great strengths of the Framingham Heart Study data, provided for the Genetic Analysis Workshop 13, is the long-term survey of phenotypic data. We used this unique data to create new phenotypes representing the pattern of longitudinal change of the provided phenotypes, especially systolic blood pressure and body weight. We performed a linear regression of body weight and systolic blood pressure on age and took the slopes as new phenotypes for quantitative trait linkage analysis using the SOLAR package. There was no evidence for heritability of systolic blood pressure change. Heritability was estimated as 0.15 for adult life "body weight change", measured as the regression slope, and "body weight gain" (including only individuals with a positive regression slope), and as 0.22 for body weight "change up to 50" (regression slope of weight on age up to an age of 50). With multipoint analysis, two regions on the long arm of chromosome 8 showed the highest LOD scores of 1.6 at 152 cM for "body weight change" and of >1.9 around location 102 cM for "body weight gain" and "change up to 50". The latter two LOD scores almost reach the threshold for suggestive linkage. We conclude that the chromosome 8 region may harbor a gene acting on long-term body weight regulation, thereby contributing to the development of the metabolic syndrome. |
format | Text |
id | pubmed-1866508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-18665082007-05-11 Quantitative trait linkage analysis of longitudinal change in body weight Golla, Astrid Strauch, Konstantin Dietter, Johannes Baur, Max P BMC Genet Proceedings One of the great strengths of the Framingham Heart Study data, provided for the Genetic Analysis Workshop 13, is the long-term survey of phenotypic data. We used this unique data to create new phenotypes representing the pattern of longitudinal change of the provided phenotypes, especially systolic blood pressure and body weight. We performed a linear regression of body weight and systolic blood pressure on age and took the slopes as new phenotypes for quantitative trait linkage analysis using the SOLAR package. There was no evidence for heritability of systolic blood pressure change. Heritability was estimated as 0.15 for adult life "body weight change", measured as the regression slope, and "body weight gain" (including only individuals with a positive regression slope), and as 0.22 for body weight "change up to 50" (regression slope of weight on age up to an age of 50). With multipoint analysis, two regions on the long arm of chromosome 8 showed the highest LOD scores of 1.6 at 152 cM for "body weight change" and of >1.9 around location 102 cM for "body weight gain" and "change up to 50". The latter two LOD scores almost reach the threshold for suggestive linkage. We conclude that the chromosome 8 region may harbor a gene acting on long-term body weight regulation, thereby contributing to the development of the metabolic syndrome. BioMed Central 2003-12-31 /pmc/articles/PMC1866508/ /pubmed/14975075 http://dx.doi.org/10.1186/1471-2156-4-S1-S7 Text en Copyright © 2003 Golla 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 Golla, Astrid Strauch, Konstantin Dietter, Johannes Baur, Max P Quantitative trait linkage analysis of longitudinal change in body weight |
title | Quantitative trait linkage analysis of longitudinal change in body weight |
title_full | Quantitative trait linkage analysis of longitudinal change in body weight |
title_fullStr | Quantitative trait linkage analysis of longitudinal change in body weight |
title_full_unstemmed | Quantitative trait linkage analysis of longitudinal change in body weight |
title_short | Quantitative trait linkage analysis of longitudinal change in body weight |
title_sort | quantitative trait linkage analysis of longitudinal change in body weight |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866508/ https://www.ncbi.nlm.nih.gov/pubmed/14975075 http://dx.doi.org/10.1186/1471-2156-4-S1-S7 |
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