Genome-wide linkage analysis of longitudinal phenotypes using σ2A random effects (SSARs) fitted by Gibbs sampling

The study of change in intermediate phenotypes over time is important in genetics. In this paper we explore a new approach to phenotype definition in the genetic analysis of longitudinal phenotypes. We utilized data from the longitudinal Framingham Heart Study Family Cohort to investigate the famili...

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Main Authors:	Palmer, Lyle J, Scurrah, Katrina J, Tobin, Martin, Patel, Sanjay R, Celedon, Juan C, Burton, Paul R, Weiss, Scott T
Format:	Online
Language:	English
Published:	BioMed Central 2003
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866446/

id	pubmed-1866446
recordtype	oai_dc
spelling	pubmed-18664462007-05-11 Genome-wide linkage analysis of longitudinal phenotypes using σ2A random effects (SSARs) fitted by Gibbs sampling Palmer, Lyle J Scurrah, Katrina J Tobin, Martin Patel, Sanjay R Celedon, Juan C Burton, Paul R Weiss, Scott T Proceedings The study of change in intermediate phenotypes over time is important in genetics. In this paper we explore a new approach to phenotype definition in the genetic analysis of longitudinal phenotypes. We utilized data from the longitudinal Framingham Heart Study Family Cohort to investigate the familial aggregation and evidence for linkage to change in systolic blood pressure (SBP) over time. We used Gibbs sampling to derive sigma-squared-A-random-effects (SSARs) for the longitudinal phenotype, and then used these as a new phenotype in subsequent genome-wide linkage analyses. BioMed Central 2003-12-31 /pmc/articles/PMC1866446/ /pubmed/14975080 http://dx.doi.org/10.1186/1471-2156-4-S1-S12 Text en Copyright © 2003 Palmer 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.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Palmer, Lyle J Scurrah, Katrina J Tobin, Martin Patel, Sanjay R Celedon, Juan C Burton, Paul R Weiss, Scott T
spellingShingle	Palmer, Lyle J Scurrah, Katrina J Tobin, Martin Patel, Sanjay R Celedon, Juan C Burton, Paul R Weiss, Scott T Genome-wide linkage analysis of longitudinal phenotypes using σ2A random effects (SSARs) fitted by Gibbs sampling
author_facet	Palmer, Lyle J Scurrah, Katrina J Tobin, Martin Patel, Sanjay R Celedon, Juan C Burton, Paul R Weiss, Scott T
author_sort	Palmer, Lyle J
title	Genome-wide linkage analysis of longitudinal phenotypes using σ2A random effects (SSARs) fitted by Gibbs sampling
title_short	Genome-wide linkage analysis of longitudinal phenotypes using σ2A random effects (SSARs) fitted by Gibbs sampling
title_full	Genome-wide linkage analysis of longitudinal phenotypes using σ2A random effects (SSARs) fitted by Gibbs sampling
title_fullStr	Genome-wide linkage analysis of longitudinal phenotypes using σ2A random effects (SSARs) fitted by Gibbs sampling
title_full_unstemmed	Genome-wide linkage analysis of longitudinal phenotypes using σ2A random effects (SSARs) fitted by Gibbs sampling
title_sort	genome-wide linkage analysis of longitudinal phenotypes using σ2a random effects (ssars) fitted by gibbs sampling
description	The study of change in intermediate phenotypes over time is important in genetics. In this paper we explore a new approach to phenotype definition in the genetic analysis of longitudinal phenotypes. We utilized data from the longitudinal Framingham Heart Study Family Cohort to investigate the familial aggregation and evidence for linkage to change in systolic blood pressure (SBP) over time. We used Gibbs sampling to derive sigma-squared-A-random-effects (SSARs) for the longitudinal phenotype, and then used these as a new phenotype in subsequent genome-wide linkage analyses.
publisher	BioMed Central
publishDate	2003
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866446/
_version_	1611396194788966400

Genome-wide linkage analysis of longitudinal phenotypes using σ2A random effects (SSARs) fitted by Gibbs sampling

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