Methods of bioinformatic analysis for candidate genes underlying quantitative trait loci(QTLs)

WU Jia-sheng; WANG Xu-sheng

Volume 25 Issue 1

Jun. 2018

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WU Jia-sheng, WANG Xu-sheng. Methods of bioinformatic analysis for candidate genes underlying quantitative trait loci(QTLs)[J]. Journal of Zhejiang A&F University, 2008, 25(1): 104-108.

Citation:

WU Jia-sheng, WANG Xu-sheng. Methods of bioinformatic analysis for candidate genes underlying quantitative trait loci(QTLs)[J]. Journal of Zhejiang A&F University, 2008, 25(1): 104-108.

Methods of bioinformatic analysis for candidate genes underlying quantitative trait loci(QTLs)

WU Jia-sheng¹,
WANG Xu-sheng²

1.
School of Forestry and Biotechnology, Zhejiang Forestry College, Lin'an 311300, Zhejiang, China;
2.
Bioinformatics Institute, Zhejiang University, Hangzhou 310029, Zhejiang, China

Received Date: 2007-04-20
Rev Recd Date: 2007-09-20
Publish Date: 2008-02-10

Abstract

Almost all crops have been studied on QTL(quantitative trait loci) mapping with many QTL mapping methods, such as IM(interval mapping), CIM(composite interval mapping), MCIM(mixed-model based composite interval mapping) and Bayesian QTL mapping having been developed. However, these methods have had shortcomings, namey, the genomic region of the QTL detected, within which there were probably hundreds of candidate genes was still too large. In this paper, a better understanding of the molecular functions of QTLs was obtained by first briefly reviewing methods of analyzing the candidate gene within QTL intervals based on bioinformatics. Then, in order to provide a new analytical method for better use of QTLs in the future, the genetics, genome organization, gene expression and function of candidate genes located on QTL region were analyzed.
- genetics,
- QTL(quantitative trait loci),
- candidate gene,
- bioinformatics,
- review

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Methods of bioinformatic analysis for candidate genes underlying quantitative trait loci(QTLs)

1. School of Forestry and Biotechnology, Zhejiang Forestry College, Lin'an 311300, Zhejiang, China;

2. Bioinformatics Institute, Zhejiang University, Hangzhou 310029, Zhejiang, China

Received Date: 2007-04-20

Rev Recd Date: 2007-09-20

Publish Date: 2008-02-10

Key words:

Abstract: Almost all crops have been studied on QTL(quantitative trait loci) mapping with many QTL mapping methods, such as IM(interval mapping), CIM(composite interval mapping), MCIM(mixed-model based composite interval mapping) and Bayesian QTL mapping having been developed. However, these methods have had shortcomings, namey, the genomic region of the QTL detected, within which there were probably hundreds of candidate genes was still too large. In this paper, a better understanding of the molecular functions of QTLs was obtained by first briefly reviewing methods of analyzing the candidate gene within QTL intervals based on bioinformatics. Then, in order to provide a new analytical method for better use of QTLs in the future, the genetics, genome organization, gene expression and function of candidate genes located on QTL region were analyzed.

Methods of bioinformatic analysis for candidate genes underlying quantitative trait loci(QTLs)

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

Proportional views