An aggregating U-Test for a genetic association study of quantitative traits

BMC Proceedings

Proceedings

Ming Li¹  Qing Lu¹  Wenjiang Fu¹ 

[1] Department of Epidemiology, Michigan State University, B601 West Fee Hall, 48824, East Lansing, MI, USA;

关键词: Quantitative Trait;    Common Variant;    Rare Variant;    Rare Allele;    Genotype Group;   

DOI  :  10.1186/1753-6561-5-S9-S23

来源: Springer

【 摘 要 】

We propose a novel aggregating U-test for gene-based association analysis. The method considers both rare and common variants. It adaptively searches for potential disease-susceptibility rare variants and collapses them into a single “supervariant.” A forward U-test is then used to assess the joint association of the supervariant and other common variants with quantitative traits. Using 200 simulated replicates from the Genetic Analysis Workshop 17 mini-exome data, we compare the performance of the proposed method with that of a commonly used approach, QuTie. We find that our method has an equivalent or greater power than QuTie to detect nine genes that influence the quantitative trait Q1. This new approach provides a powerful tool for detecting both common and rare variants associated with quantitative traits.

【 授权许可】

Unknown   
© Li et al; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.