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
19087954
TITLE
Association mapping in outbred populations: power and efficiency when genotyping parents and phenotyping progeny.
ABSTRACT
We develop expressions for the power to detect associations between parental genotypes and offspring phenotypes for quantitative traits. Three different "indirect" experimental designs are considered: full-sib, half-sib, and full-sib-half-sib families. We compare the power of these designs to detect genotype-phenotype associations relative to the common, "direct," approach of genotyping and phenotyping the same individuals. When heritability is low, the indirect designs can outperform the direct method. However, the extra power comes at a cost due to an increased phenotyping effort. By developing expressions for optimal experimental designs given the cost of phenotyping relative to genotyping, we show how the extra costs associated with phenotyping a large number of individuals will influence experimental design decisions. Our results suggest that indirect association studies can be a powerful means of detecting allelic associations in outbred populations of species for which genotyping and phenotyping the same individuals is impractical and for life history and behavioral traits that are heavily influenced by environmental variance and therefore best measured on groups of individuals. Indirect association studies are likely to be favored only on purely economical grounds, however, when phenotyping is substantially less expensive than genotyping. A web-based application implementing our expressions has been developed to aid in the design of indirect association studies.
DATE PUBLISHED
2009 Feb
HISTORY
PUBSTATUS PUBSTATUSDATE
aheadofprint 2008/12/15
entrez 2008/12/18 09:00
pubmed 2008/12/18 09:00
medline 2009/05/19 09:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Chenoweth SF Chenoweth Stephen F SF Queensland Statistical Genetics, Queensland Institute of Medical Research, Brisbane, QLD 4029, Australia. s.chenoweth@uq.edu.au
Visscher PM Visscher Peter M PM
INVESTIGATORS
JOURNAL
VOLUME: 181
ISSUE: 2
TITLE: Genetics
ISOABBREVIATION: Genetics
YEAR: 2009
MONTH: Feb
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
Animals
Biometry
Breeding
Female
Genes, Dominant
Genetics, Population
Genome-Wide Association Study statistics & numerical data
Genotype statistics & numerical data
Male statistics & numerical data
Models, Genetic statistics & numerical data
Phenotype statistics & numerical data
Quantitative Trait, Heritable statistics & numerical data
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's
OTHERID SOURCE
PMC2644963 NLM