Tanzania
Research Article
Fast Computation of Significance Threshold in QTL Mapping of Dynamic
Quantitative Traits
Author(s): Nating Wang, Hongxiao Tian, Yongci Li, Rongling Wu, Jiangtao Luo and Zhong WangNating Wang, Hongxiao Tian, Yongci Li, Rongling Wu, Jiangtao Luo and Zhong Wang
Functional Mapping is a popular statistical method in QTL mapping studies for longitudinal data. The threshold for declaring statistical significance of a QTL is commonly obtained through permutation tests, which can be time consuming. To improve the computational efficiency of a permutation test of mixture models used in Functional Mapping, we first quantified the correlation between QTL and longitudinal data, using a curve clustering method. Then, the QTLs which are highly correlated with the outcome were computed in the improved permutation tests. As a result, it reduces the amount of computation in permutation tests and speeds up the computation for Functional Mapping analysis. Simulation studies and real data analysis were conducted to demonstrate that the proposed approach can greatly improve the computational efficiency of QTL mapping without loss of accuracy... Read More»
DOI:
10.4172/2155-6180.1000329
Journal of Biometrics & Biostatistics received 3496 citations as per Google Scholar report