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
16624906
TITLE
A simple linear regression method for quantitative trait loci linkage analysis with censored observations.
ABSTRACT
Standard quantitative trait loci (QTL) mapping techniques commonly assume that the trait is both fully observed and normally distributed. When considering survival or age-at-onset traits these assumptions are often incorrect. Methods have been developed to map QTL for survival traits; however, they are both computationally intensive and not available in standard genome analysis software packages. We propose a grouped linear regression method for the analysis of continuous survival data. Using simulation we compare this method to both the Cox and Weibull proportional hazards models and a standard linear regression method that ignores censoring. The grouped linear regression method is of equivalent power to both the Cox and Weibull proportional hazards methods and is significantly better than the standard linear regression method when censored observations are present. The method is also robust to the proportion of censored individuals and the underlying distribution of the trait. On the basis of linear regression methodology, the grouped linear regression model is computationally simple and fast and can be implemented readily in freely available statistical software.
DATE PUBLISHED
2006 Jul
HISTORY
PUBSTATUS PUBSTATUSDATE
aheadofprint 2006/04/19
pubmed 2006/04/21 09:00
medline 2006/12/09 09:00
entrez 2006/04/21 09:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Anderson CA Anderson Carl A CA Institute of Evolutionary Biology, University of Edinburgh, Scotland. carl.anderson@qimr.edu.au
McRae AF McRae Allan F AF
Visscher PM Visscher Peter M PM
INVESTIGATORS
JOURNAL
VOLUME: 173
ISSUE: 3
TITLE: Genetics
ISOABBREVIATION: Genetics
YEAR: 2006
MONTH: Jul
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
Comparative Study
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 methods
Computer Simulation methods
Likelihood Functions methods
Linear Models methods
Models, Genetic methods
Quantitative Trait Loci methods
Software methods
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's
OTHERID SOURCE
PMC1526687 NLM
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