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
9670595
TITLE
Optimal selection of sib pairs from random samples for linkage analysis of a QTL using the EDAC test.
ABSTRACT
Percentages of extremely concordant and extremely discordant sib pairs are calculated that maximize the power to detect a quantitative trait locus (QTL) under a variety of circumstances using the EDAC test. We assume a large fixed number of randomly sampled sib pairs, such as one would hope to find in the large twin registries, and limited resources to genotype a certain number of selected sib pairs. Our aim is to investigate whether optimal selection can be achieved when prior knowledge concerning the QTL gene action, QTL allele frequency, QTL effect size, and background (residual) sib correlation is limited or absent. To this end we calculate the best selection percentages for a large number of models, which differ in QTL gene action allele frequency, background correlation, and QTL effect size. By averaging these percentages over gene action, over allele frequency, over gene action, and over allele frequencies, we arrive at general recommendations concerning selection percentages. The soundness of these recommendations is subsequently in a number of test cases.
DATE PUBLISHED
1998 May
HISTORY
PUBSTATUS PUBSTATUSDATE
pubmed 1998/07/22
medline 1998/07/22 00:01
entrez 1998/07/22 00:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Dolan CV Dolan C V CV Department of Psychology, Vrije Universiteit, Amsterdam, The Netherlands. op_dolan@macmail.psy.uva.nl
Boomsma DI Boomsma D I DI
INVESTIGATORS
JOURNAL
VOLUME: 28
ISSUE: 3
TITLE: Behavior genetics
ISOABBREVIATION: Behav. Genet.
YEAR: 1998
MONTH: May
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Print
ISSN: 0001-8244
ISSNTYPE: Print
MEDLINE JOURNAL
MEDLINETA: Behav Genet
COUNTRY: United States
ISSNLINKING: 0001-8244
NLMUNIQUEID: 0251711
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
COMMENTS AND CORRECTIONS
GRANTS
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Alleles
Computer Simulation
Genetic Linkage genetics
Genetic Markers genetics
Humans genetics
Models, Genetic genetics
Nuclear Family genetics
Patient Selection genetics
Phenotype genetics
Probability genetics
Quantitative Trait, Heritable genetics
Research Design standards
Sample Size standards
Sampling Studies standards
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
REGISTRYNUMBER NAMEOFSUBSTANCE
0 Genetic Markers
OTHER ID's