Literature DB >> 14620950

Correcting the bias in estimation of genetic variances contributed by individual QTL.

Lang Luo1, Yongcai Mao, Shizhong Xu.   

Abstract

In addition to locating chromosomal positions of quantitative trait loci (QTL), estimating the sizes of identified QTL is also an important component in QTL mapping. The size of a QTL is usually measured by the proportion of the phenotypic variance contributed by the QTL. However, the genetic variance may be overestimated in a small line crossing experiment. In this study, we investigate this bias and develop a simple method to correct the bias. The bias correction, however, requires the error of the estimated genetic effect, which is not trivial if the genetic effect is estimated using the Expectation and Maximization (EM) algorithm. Therefore, we also develop a simple method to estimate the standard error of the estimated genetic effect, which is subsequently used to correct the bias in the variance estimate.

Mesh:

Year:  2003        PMID: 14620950     DOI: 10.1023/a:1026028928003

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  8 in total

1.  Bias correction for estimated QTL effects using the penalized maximum likelihood method.

Authors:  J Zhang; C Yue; Y-M Zhang
Journal:  Heredity (Edinb)       Date:  2011-09-21       Impact factor: 3.821

2.  Theoretical basis of the Beavis effect.

Authors:  Shizhong Xu
Journal:  Genetics       Date:  2003-12       Impact factor: 4.562

3.  Estimation of genetic variance contributed by a quantitative trait locus: correcting the bias associated with significance tests.

Authors:  Fangjie Xie; Shibo Wang; William D Beavis; Shizhong Xu
Journal:  Genetics       Date:  2021-11-05       Impact factor: 4.402

4.  SNP-skimming: A fast approach to map loci generating quantitative variation in natural populations.

Authors:  Carolyn A Wessinger; John K Kelly; Peng Jiang; Mark D Rausher; Lena C Hileman
Journal:  Mol Ecol Resour       Date:  2018-08-08       Impact factor: 7.090

5.  Epistasis Is a Major Determinant of the Additive Genetic Variance in Mimulus guttatus.

Authors:  Patrick J Monnahan; John K Kelly
Journal:  PLoS Genet       Date:  2015-05-06       Impact factor: 5.917

6.  Average semivariance yields accurate estimates of the fraction of marker-associated genetic variance and heritability in complex trait analyses.

Authors:  Mitchell J Feldmann; Hans-Peter Piepho; William C Bridges; Steven J Knapp
Journal:  PLoS Genet       Date:  2021-08-26       Impact factor: 5.917

7.  Genetic architecture of palm oil fatty acid composition in cultivated oil palm (Elaeis guineensis Jacq.) compared to its wild relative E. oleifera (H.B.K) Cortés.

Authors:  Carmenza Montoya; Benoit Cochard; Albert Flori; David Cros; Ricardo Lopes; Teresa Cuellar; Sandra Espeout; Indra Syaputra; Pierre Villeneuve; Michel Pina; Enrique Ritter; Thierry Leroy; Norbert Billotte
Journal:  PLoS One       Date:  2014-05-09       Impact factor: 3.240

8.  Estimating genetic variance contributed by a quantitative trait locus: A random model approach.

Authors:  Shibo Wang; Fangjie Xie; Shizhong Xu
Journal:  PLoS Comput Biol       Date:  2022-03-11       Impact factor: 4.475

  8 in total

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