中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 贝叶斯回归分析方法及其在QTL作图中的应用 扬州大学学报(农业与生命科学版) 2005,26 (2) 44-49
Position: Home > Articles > Bayesian method of linear regression analysis and its application in QTL mapping Journal of Yangzhou University(Agricultural and Life Science Edition) 2005,26 (2) 44-49

贝叶斯回归分析方法及其在QTL作图中的应用

作  者：
敖雁;徐辰武
单  位：
扬州大学数量遗传研究室
关键词：
贝叶斯统计;回归分析;QTL作图;蒙特卡罗模拟
摘  要：
以实例详述了运用贝叶斯统计进行线性回归分析的原理和方法,并将其推广应用于F2群体的QTL作图。该方法可同时实现对QTL基因型、位置、效应及模型剩余方差等参数的贝叶斯估计,其可行性和有效性通过计算机模拟数据进行了分析验证。结果表明:尽管随着遗传力的提高,QTL位置和效应估计值的准确度随之提高,但在设定的3种遗传力(5%、10%和20%)下相差不大,均很准确;而估计值的精确度则随着遗传力的提高而明显提高。因此,在QTL遗传力较低时,为了提高QTL位置和效应估计的准确度与精确度,适当的样本容量是必要的。
译  名：
Bayesian method of linear regression analysis and its application in QTL mapping
作  者：
AO Yan, XU Chen-wu (Lab of Quant Gen, Yangzhou Univ, Yangzhou, 225009, China)
关键词：
Bayesian statistics; linear regression analysis; QTL mapping; Monte Carlo simulation
摘  要：
The theory and method of linear regression analysis by using the Bayesian statistics were introduced in detail and the analyzing procedure was demonstrated with a typical real example. Furthermore, it was extended and applied to QTL analysis in F_2 mapping population. The method may implement the Bayesian estimation of QTL genotypes, position, effects and model residual variance simultaneously, and its feasibility and validity were analyzed with simulation data. The results showed that although the accuracy of estimates of QTL position and effects would enhance as the increasing of QTL heritability, the differences were very small among different treatments including 5%, 10%, and 20% of QTL heritability. However, the precision of estimates would enhance significantly as the increasing of QTL heritability. This result indicates that the appropriate sample size will be necessary for QTL mapping in low QTL heritability to improve the precision of estimates of QTL position and effects.

相似文章

导出引用
计量
文章访问数: 6
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46