Literature DB >> 11108644

Analysis of longitudinal data from twins.

R M Huggins1, N H Hoang, D Z Loesch.   

Abstract

Longitudinal data from twin pairs may be used to determine how the genetic effects influencing a quantitative trait change with age. Here a model for mixed longitudinal data of Huggins and Loesch [1998] on unrelated individuals is extended to twin studies. The model is fitted using robust statistical methods and a bootstrap procedure is proposed to estimate the percentiles. The method is applied to longitudinal twin data on body mass index in male and female twin pairs aged 5-18 years. Copyright 2000 Wiley-Liss, Inc.

Mesh：

Year:  2000        PMID： 11108644     DOI： 10.1002/1098-2272(200012)19:4<345::AID-GEPI6>3.0.CO;2-S

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN： 0741-0395            Impact factor:   2.135


  4 in total

1.  Stable genes and changing environments: body mass index across adolescence and young adulthood.

Authors:  Brett C Haberstick; Jeffery M Lessem; Matthew B McQueen; Jason D Boardman; Christian J Hopfer; Andrew Smolen; John K Hewitt
Journal:  Behav Genet       Date:  2010-01-20       Impact factor: 2.805

2.  Longitudinal familial analysis of blood pressure involving parametric (co)variance functions.

Authors:  Julia M P Soler; John Blangero
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

3.  Linkage analysis of longitudinal data and design consideration.

Authors:  Heping Zhang; Xiaoyun Zhong
Journal:  BMC Genet       Date:  2006-06-12       Impact factor: 2.797

4.  Comparison of longitudinal variance components and regression-based approaches for linkage detection on chromosome 17 for systolic blood pressure.

Authors:  Mariza de Andrade; Curtis Olswold
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797
  4 in total

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