Estimation of the proportion of genetic variance explained by molecular markers

Detalhes bibliográficos
Autor(a) principal: Bearzoti,Eduardo
Data de Publicação: 1998
Outros Autores: Vencovsky,Roland
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47571998000400025
Resumo: Estimation of the proportion of genetic variance explained by molecular markers (p) plays an important role in basic studies of quantitative traits, as well as in marker-assisted selection (MAS), if the selection index proposed by Lande and Thompson (Genetics 124: 743-756, 1990) is used. Frequently, the coefficient of determination (R2) is used to account for this proportion. In the present study, a simple estimator of p is presented, which is applicable when a multiple regression approach is used, and progenies are evaluated in replicated trials. The associated sampling distribution was obtained and compared with that of R2. Simulations indicated that, when the number of evaluated progenies is small, the statistics are not satisfactory, in general, due to bias and/or low precision. Coefficient R2 was found adequate in situations where p is high. If a large number of progenies is evaluated (say, a few hundreds), then the proposed estimator <img src="http:/img/fbpe/gmb/v21n4/1974f1.jpg" alt="1974f1.jpg (1159 bytes)" align="middle"> appears to be better, with acceptable precision and considerably lower bias than R2. A normal approximation to the sampling distribution of <img src="http:/img/fbpe/gmb/v21n4/1974f1.jpg" alt="1974f1.jpg (1159 bytes)" align="middle"> is given, using Taylor's expansion of the expectation and variance of this statistic. Approximate confidence intervals for p, based on normal distribution, are reasonable, if the number of progenies is large. The use of <img src="http:/img/fbpe/gmb/v21n4/1974f1.jpg" alt="1974f1.jpg (1159 bytes)" align="middle"> in MAS is illustrated for estimation of the weight given to the molecular score, when a selection index is used.
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spelling Estimation of the proportion of genetic variance explained by molecular markersEstimation of the proportion of genetic variance explained by molecular markers (p) plays an important role in basic studies of quantitative traits, as well as in marker-assisted selection (MAS), if the selection index proposed by Lande and Thompson (Genetics 124: 743-756, 1990) is used. Frequently, the coefficient of determination (R2) is used to account for this proportion. In the present study, a simple estimator of p is presented, which is applicable when a multiple regression approach is used, and progenies are evaluated in replicated trials. The associated sampling distribution was obtained and compared with that of R2. Simulations indicated that, when the number of evaluated progenies is small, the statistics are not satisfactory, in general, due to bias and/or low precision. Coefficient R2 was found adequate in situations where p is high. If a large number of progenies is evaluated (say, a few hundreds), then the proposed estimator <img src="http:/img/fbpe/gmb/v21n4/1974f1.jpg" alt="1974f1.jpg (1159 bytes)" align="middle"> appears to be better, with acceptable precision and considerably lower bias than R2. A normal approximation to the sampling distribution of <img src="http:/img/fbpe/gmb/v21n4/1974f1.jpg" alt="1974f1.jpg (1159 bytes)" align="middle"> is given, using Taylor's expansion of the expectation and variance of this statistic. Approximate confidence intervals for p, based on normal distribution, are reasonable, if the number of progenies is large. The use of <img src="http:/img/fbpe/gmb/v21n4/1974f1.jpg" alt="1974f1.jpg (1159 bytes)" align="middle"> in MAS is illustrated for estimation of the weight given to the molecular score, when a selection index is used.Sociedade Brasileira de Genética1998-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47571998000400025Genetics and Molecular Biology v.21 n.4 1998reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47571998000400025info:eu-repo/semantics/openAccessBearzoti,EduardoVencovsky,Rolandeng1999-03-01T00:00:00Zoai:scielo:S1415-47571998000400025Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:1999-03-01T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv Estimation of the proportion of genetic variance explained by molecular markers
title Estimation of the proportion of genetic variance explained by molecular markers
spellingShingle Estimation of the proportion of genetic variance explained by molecular markers
Bearzoti,Eduardo
title_short Estimation of the proportion of genetic variance explained by molecular markers
title_full Estimation of the proportion of genetic variance explained by molecular markers
title_fullStr Estimation of the proportion of genetic variance explained by molecular markers
title_full_unstemmed Estimation of the proportion of genetic variance explained by molecular markers
title_sort Estimation of the proportion of genetic variance explained by molecular markers
author Bearzoti,Eduardo
author_facet Bearzoti,Eduardo
Vencovsky,Roland
author_role author
author2 Vencovsky,Roland
author2_role author
dc.contributor.author.fl_str_mv Bearzoti,Eduardo
Vencovsky,Roland
description Estimation of the proportion of genetic variance explained by molecular markers (p) plays an important role in basic studies of quantitative traits, as well as in marker-assisted selection (MAS), if the selection index proposed by Lande and Thompson (Genetics 124: 743-756, 1990) is used. Frequently, the coefficient of determination (R2) is used to account for this proportion. In the present study, a simple estimator of p is presented, which is applicable when a multiple regression approach is used, and progenies are evaluated in replicated trials. The associated sampling distribution was obtained and compared with that of R2. Simulations indicated that, when the number of evaluated progenies is small, the statistics are not satisfactory, in general, due to bias and/or low precision. Coefficient R2 was found adequate in situations where p is high. If a large number of progenies is evaluated (say, a few hundreds), then the proposed estimator <img src="http:/img/fbpe/gmb/v21n4/1974f1.jpg" alt="1974f1.jpg (1159 bytes)" align="middle"> appears to be better, with acceptable precision and considerably lower bias than R2. A normal approximation to the sampling distribution of <img src="http:/img/fbpe/gmb/v21n4/1974f1.jpg" alt="1974f1.jpg (1159 bytes)" align="middle"> is given, using Taylor's expansion of the expectation and variance of this statistic. Approximate confidence intervals for p, based on normal distribution, are reasonable, if the number of progenies is large. The use of <img src="http:/img/fbpe/gmb/v21n4/1974f1.jpg" alt="1974f1.jpg (1159 bytes)" align="middle"> in MAS is illustrated for estimation of the weight given to the molecular score, when a selection index is used.
publishDate 1998
dc.date.none.fl_str_mv 1998-12-01
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.21 n.4 1998
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