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Titolo:
USING MULTIVARIATE GENETIC MODELING TO DETECT PLEIOTROPIC QUANTITATIVE TRAIT LOCI
Autore:
BOOMSMA DI;
Indirizzi:
VRIJE UNIV AMSTERDAM,DEPT PSYCHONOM,DE BOELELAAN 1111 1081 HV AMSTERDAM NETHERLANDS
Titolo Testata:
Behavior genetics
fascicolo: 2, volume: 26, anno: 1996,
pagine: 161 - 166
SICI:
0001-8244(1996)26:2<161:UMGMTD>2.0.ZU;2-I
Fonte:
ISI
Lingua:
ENG
Soggetto:
LINKAGE; POWER;
Keywords:
GENOTYPIC FACTOR SCORES; MULTIVARIATE GENETIC MODELING; LINKAGE ANALYSIS; QUANTITATIVE TRAIT LOCUS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
21
Recensione:
Indirizzi per estratti:
Citazione:
D.I. Boomsma, "USING MULTIVARIATE GENETIC MODELING TO DETECT PLEIOTROPIC QUANTITATIVE TRAIT LOCI", Behavior genetics, 26(2), 1996, pp. 161-166

Abstract

Large numbers of sibling pairs or other relatives are needed to detect linkage between a quantitative trait locus (QTL) and a marker, especially if the variance of the QTL is low relative to the total phenotypic variance of the trait. One strategy to increase the power to detectlinkage is to reduce the environmental variance in the trait under analysis. This approach was explored by carrying out a series of simulation studies in which multivariate observations were used to estimate individual genotypic values at a QTL, that pleiotropically affected more than one trait. Simulations for different QTL allele frequencies with a completely informative marker showed that the power to detect the QTL increased substantially when estimates of individual genotypic values al the QTL were used in the linkage analysis instead of phenotypicobservations. An advantage of this approach is that, rather than employing phenotypic selection, individuals with extreme genotypes may be selected when ascertaining a sample of extreme families.

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Documento generato il 25/01/20 alle ore 00:21:11