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
16020786
TITLE
Quantitative trait locus analysis of longitudinal quantitative trait data in complex pedigrees.
ABSTRACT
There is currently considerable interest in genetic analysis of quantitative traits such as blood pressure and body mass index. Despite the fact that these traits change throughout life they are commonly analyzed only at a single time point. The genetic basis of such traits can be better understood by collecting and effectively analyzing longitudinal data. Analyses of these data are complicated by the need to incorporate information from complex pedigree structures and genetic markers. We propose conducting longitudinal quantitative trait locus (QTL) analyses on such data sets by using a flexible random regression estimation technique. The relationship between genetic effects at different ages is efficiently modeled using covariance functions (CFs). Using simulated data we show that the change in genetic effects over time can be well characterized using CFs and that including parameters to model the change in effect with age can provide substantial increases in power to detect QTL compared with repeated measure or univariate techniques. The asymptotic distributions of the methods used are investigated and methods for overcoming the practical difficulties in fitting CFs are discussed. The CF-based techniques should allow efficient multivariate analyses of many data sets in human and natural population genetics.
DATE PUBLISHED
2005 Nov
HISTORY
PUBSTATUS PUBSTATUSDATE
aheadofprint 2005/07/14
pubmed 2005/07/16 09:00
medline 2006/03/01 09:00
entrez 2005/07/16 09:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Macgregor S Macgregor Stuart S Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3JT, United Kingdom. macgregors@cf.ac.uk
Knott SA Knott Sara A SA
White I White Ian I
Visscher PM Visscher Peter M PM
INVESTIGATORS
JOURNAL
VOLUME: 171
ISSUE: 3
TITLE: Genetics
ISOABBREVIATION: Genetics
YEAR: 2005
MONTH: Nov
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Print
ISSN: 0016-6731
ISSNTYPE: Print
MEDLINE JOURNAL
MEDLINETA: Genetics
COUNTRY: United States
ISSNLINKING: 0016-6731
NLMUNIQUEID: 0374636
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, Non-U.S. Gov't
COMMENTS AND CORRECTIONS
REFTYPE REFSOURCE REFPMID NOTE
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GRANTS
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Chromosome Mapping statistics & numerical data
Computer Simulation statistics & numerical data
Humans statistics & numerical data
Models, Genetic statistics & numerical data
Pedigree statistics & numerical data
Quantitative Trait Loci statistics & numerical data
Quantitative Trait, Heritable statistics & numerical data
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's
OTHERID SOURCE
PMC1456837 NLM