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Titolo:
Selective genotyping to detect quantitative trait loci affecting multiple traits: interval mapping analysis
Autore:
Ronin, YI; Korol, AB; Weller, JI;
Indirizzi:
Univ Haifa, Inst Evolut, IL-31905 Haifa, Israel Univ Haifa Haifa Israel IL-31905 fa, Inst Evolut, IL-31905 Haifa, Israel Volcani Ctr, ARO, Inst Anim Sci, Bet Dagan, Israel Volcani Ctr Bet DaganIsrael Ctr, ARO, Inst Anim Sci, Bet Dagan, Israel
Titolo Testata:
THEORETICAL AND APPLIED GENETICS
fascicolo: 7, volume: 97, anno: 1998,
pagine: 1169 - 1178
SICI:
0040-5752(199811)97:7<1169:SGTDQT>2.0.ZU;2-V
Fonte:
ISI
Lingua:
ENG
Soggetto:
MARKER LOCI; GENETIC-MARKERS; DETERMINING LINKAGE; FLANKING MARKERS; DAIRY-CATTLE; INBRED LINES; POWER; QTL; CROSSES; AID;
Keywords:
selective genotyping; multiple traits; QTL; interval mapping; maximum likelihood;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Life Sciences
Citazioni:
40
Recensione:
Indirizzi per estratti:
Indirizzo: Korol, AB Univ Haifa, Inst Evolut, IL-31905 Haifa, Israel Univ Haifa Haifa Israel IL-31905 volut, IL-31905 Haifa, Israel
Citazione:
Y.I. Ronin et al., "Selective genotyping to detect quantitative trait loci affecting multiple traits: interval mapping analysis", THEOR A GEN, 97(7), 1998, pp. 1169-1178

Abstract

Segregating quantitative trait loci can be detected via linkage to geneticmarkers. By selectively genotyping individuals with extreme phenotypes forthe quantitative trait, the power per individual genotyped is increased atthe expense of the power per individual phenotyped, but linear-model estimates of the quantitative-locus effect will be biased. The properties of single- and multiple-trait maximum-likelihood estimates of quantitative-loci parameters derived from selectively genotyped samples were investigated using Monte-Carlo simulations of backcross populations. All individuals with trait records were included in the analyses. All quantitative-locus parameters and the residual correlation were unbiasedly estimated by multiple-trait maximum-likelihood methodology. With single-trait maximum-likelihood, unbiased estimates for quantitative-locus effect and location, and the residual variance, were obtained for the trait under selection, but biased estimateswere derived for a correlated trait that was analyzed separately. When an effect of the QTL was simulated only on the trait under selection, a "ghost" effect was also found for the correlated trait. Furthermore, if an effectwas simulated only for the correlated trait, then the statistical power was less than that obtained with a random sample of equal size. With multiple-trait analyses, the power of quantitative-trait locus detection was alwaysgreater with selective genotyping.

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Documento generato il 21/09/20 alle ore 06:18:13