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Titolo:
A comparison of power to detect a QTL in sib-pair data using multivariate phenotypes, mean phenotypes, and factor scores
Autore:
Boomsma, DI; Dolan, CV;
Indirizzi:
Free Univ Amsterdam, Dept Psychol, NL-1081 HV Amsterdam, Netherlands Free Univ Amsterdam Amsterdam Netherlands NL-1081 HV terdam, Netherlands
Titolo Testata:
BEHAVIOR GENETICS
fascicolo: 5, volume: 28, anno: 1998,
pagine: 329 - 340
SICI:
0001-8244(199809)28:5<329:ACOPTD>2.0.ZU;2-F
Fonte:
ISI
Lingua:
ENG
Soggetto:
QUANTITATIVE-TRAIT LOCI; LINKAGE ANALYSIS; HUMANS; GENES;
Keywords:
QTL analysis; sib-pair data; simulation studies; multivariate linkage analysis; genetic factor scores; selection;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Life Sciences
Citazioni:
27
Recensione:
Indirizzi per estratti:
Indirizzo: Boomsma, DI Free Univ Amsterdam, Dept Psychol, De Boelelaan 1111, NL-1081 HV Amsterdam, Free Univ Amsterdam De Boelelaan 1111 Amsterdam Netherlands NL-1081 HV
Citazione:
D.I. Boomsma e C.V. Dolan, "A comparison of power to detect a QTL in sib-pair data using multivariate phenotypes, mean phenotypes, and factor scores", BEHAV GENET, 28(5), 1998, pp. 329-340

Abstract

The power to detect a quantitative trait locus (QTL) in sib-pair data is investigated. We assume that we have at our disposal 3 or 4 related phenotypic measures in a sample of sib-pairs. Individual differences in these phenotypes are due to a common QTL and specific (i.e., unique to each phenotype)nonshared environmental and specific polygenic additive effects. In addition, models are considered that include common nonshared environmental effects and/or common polygenic additive effects. We calculate the power to detect the QTL in a genetic covariance structure analysis of the multivariate data, of the mean phenotypic data, and of factor scores. The use of factor scores is shown to be universally more powerful than the use of multivariateor mean phenotypic data. We also investigate the effect of using a single sample of sib-pairs to both calculate the factor score regression matrix and to carry out the QTL analysis. The use of a single sample to both these ends results in a loss of power compared to the theoretical, expected power. The gain in power attributable to the use of factor scores, however, outweighs this observed loss in power. The advantages of using factor scores in selecting sib-pairs are discussed.

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Documento generato il 19/01/20 alle ore 20:36:47