Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
15607018
TITLE
The use of linear mixed models to estimate variance components from data on twin pairs by maximum likelihood.
ABSTRACT
It is shown that maximum likelihood estimation of variance components from twin data can be parameterized in the framework of linear mixed models. Standard statistical packages can be used to analyze univariate or multivariate data for simple models such as the ACE and CE models. Furthermore, specialized variance component estimation software that can handle pedigree data and user-defined covariance structures can be used to analyze multivariate data for simple and complex models, including those where dominance and/or QTL effects are fitted. The linear mixed model framework is particularly useful for analyzing multiple traits in extended (twin) families with a large number of random effects.
DATE PUBLISHED
2004 Dec
HISTORY
PUBSTATUS PUBSTATUSDATE
pubmed 2004/12/21 09:00
medline 2005/05/20 09:00
entrez 2004/12/21 09:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Visscher PM Visscher Peter M PM Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Scotland, United Kingdom. peter.visscher@ed.ac.uk
Benyamin B Benyamin Beben B
White I White Ian I
INVESTIGATORS
JOURNAL
VOLUME: 7
ISSUE: 6
TITLE: Twin research : the official journal of the International Society for Twin Studies
ISOABBREVIATION: Twin Res
YEAR: 2004
MONTH: Dec
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Print
ISSN: 1369-0523
ISSNTYPE: Print
MEDLINE JOURNAL
MEDLINETA: Twin Res
COUNTRY: Australia
ISSNLINKING: 1369-0523
NLMUNIQUEID: 9815819
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, Non-U.S. Gov't
COMMENTS AND CORRECTIONS
GRANTS
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Algorithms
Analysis of Variance
Female
Humans
Linear Models
Male
Multivariate Analysis
Twin Studies as Topic statistics & numerical data
Twins statistics & numerical data
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's