Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
Enhanced efficiency of quantitative trait loci mapping analysis based on multivariate complexes of quantitative traits
Autore:
Korol, AB; Ronin, YI; Itskovich, AM; Peng, JH; Nevo, E;
Indirizzi:
Univ Haifa, Inst Evolut, IL-31905 Haifa, Israel Univ Haifa Haifa Israel IL-31905 fa, Inst Evolut, IL-31905 Haifa, Israel
Titolo Testata:
GENETICS
fascicolo: 4, volume: 157, anno: 2001,
pagine: 1789 - 1803
SICI:
0016-6731(200104)157:4<1789:EEOQTL>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
ENG
Soggetto:
LINKAGE ANALYSIS; MARKER LOCI; DROSOPHILA-MELANOGASTER; ENVIRONMENT INTERACTION; GENETIC DISSECTION; RESOLUTION POWER; MULTIPLE LOCI; SINGLE MARKER; MAP LOCATION; QTL ANALYSIS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Life Sciences
Citazioni:
53
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:
A.B. Korol et al., "Enhanced efficiency of quantitative trait loci mapping analysis based on multivariate complexes of quantitative traits", GENETICS, 157(4), 2001, pp. 1789-1803

Abstract

An approach to increase the efficiency of mapping quantitative trait loci (QTL) was proposed earlier by the authors on the basis of bivariate analysis of correlated traits. The power of QTL detection using the log-likelihoodratio (LOD stores) grows proportionally to the broad sense heritability. We found that this relationship holds also for correlated traits, so that anincreased bivariate heritability implicates a higher LOD score, higher detection power, and better mapping resolution. However, the increased number of parameters to be estimated complicates the application of this approach when a large number of traits are considered simultaneously. Here we present a multivariate generalization of our previous two-trait QTL analysis. Theproposed multivariate analogue of QTL contributions to the broad-sense heritability based on interval-specific calculation of eigenvalues and eigenvectors of the residual covariance matrix allows prediction of the expected QTL detection power and mapping resolution for an) subset of the initial multivariate trait complex. Permutation technique allows chromosome-wise testing of significance for the whole trait complex and the significance of the contribution of individual traits owing to: (a) their correlation with other traits, (b) dependence on the chromosome in question, and (c) both a and b. An example of application of the proposed method on a real data set of 11 traits from an experiment performed on an F-2/F-3 mapping population of tetraploid wheat (Triticum durum X T. dicoccoides) is provided.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 21/09/20 alle ore 06:35:17