Related Experiment Video
Updated: Jul 6, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
The application of the entropy-based statistic for genomic association study of QTL
Yang Xiang1, Yumei Li, Zaiming Liu
1College of Mathematics, Central South University, Changsha 410081, China.
Abstract:
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.
Related Concept Videos
Detection of Gross Error: The Q Test
Hardy-Weinberg Principle
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Incomplete Dominance
Cochran's Q Test
What is Population Genetics?
