Regression Based Robust QTL Analysis for F2 Population

Md. Jahangir Alam, Md. Alamin, Most. Humaira Sultana, Md. Amanullah, Md. Nurul Haque Mollah
2016 Rajshahi University Journal of Science and Engineering  
This Quantitative trait locus (QTL) analysis is a widely used statistical approach for the<br />detection of important genes in the chromosomes. Maximum likelihood (ML) based<br />interval mapping (IM) is one of the most popular approaches for QTL analysis. However,<br />it is relatively complex and computationally slower than regression based IM. Haley-<br />Knott (HK) and extended Haley-Knott (eHK) regression based IM save computation time<br />and produce similar results as ML-IM. However,
more » ... ese approaches are not robust against<br />phenotypic outliers. In this research, we have developed a robust regression based IM<br />approach by maximizing beta-likelihood function for intercross (F2) population. The<br />proposed method reduces to the HK-IM method when beta → 0. The tuning parameter<br />beta controls the performance of the proposed method. The simulation results show that<br />the proposed method improves performance over the existing IM approaches in the case<br />of data contaminations; otherwise, it shows almost the same results as the classical IM<br />approaches.
doi:10.3329/rujse.v44i0.30401 fatcat:vlytwhhdfbbqhgecn6uuhhivou