The application of the entropy-based statistic for genomic association study of QTL.
An entropy-based statistic T(PE) has been proposed for genomic association study for disease-susceptibility locus. The statistic T(PE) may be directly adopted and/or extended to quantitative-trait locus (QTL) mapping for quantitative traits. In this article, the statistic T(PE) was extended and applied to quantitative trait for association analysis of QTL by means of selective genotyping. The statistical properties (the type I error rate and the power) were examined under a range of parameters and population-sampling strategies (e.g., various genetic models, various heritabilities, and various sample-selection threshold values) by simulation studies. The results indicated that the statistic T(PE) is robust and powerful for genomic association study of QTL. A simulation study based on the haplotype frequencies of 10 single nucleotide polymorphisms (SNPs) of angiotensin-I converting enzyme genes was conducted to evaluate the performance of the statistic T(PE) for genetic association study.
Xiang
Yang
Y
College of Mathematics, Central South University, Changsha 410081, China.
Li
Yumei
Y
Liu
Zaiming
Z
Sun
Zhenqiu
Z
D019277:Entropy; D008040:Genetic Linkage; D005819:Genetic Markers / Q000235:genetics; D020022:Genetic Predisposition to Disease; D055106:Genome-Wide Association Study; D023281:Genomics / Q000379:methods*; D006239:Haplotypes; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide; D040641:Quantitative Trait Loci; D012083:Renin / Q000235:genetics; D015203:Reproducibility of Results
D005819:Genetic Markers; D012083:Renin