Published in

Biocomputing 2011, p. 100-105

DOI: 10.1142/9789814335058_0011

Links

Tools

Export citation

Search in Google Scholar

An Evaluation of Power to Detect Low-Frequency Variant Associations Using Allele-Matching Tests That Account for Uncertainty

Journal article published in 2011 by Eleftheria Zeggini ORCID, J. L. Asimit
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

There is growing interest in the role of rare variants in multifactorial disease etiology, and increasing evidence that rare variants are associated with complex traits. Single SNP tests are underpowered in rare variant association analyses, so locus-based tests must be used. Quality scores at both the SNP and genotype level are available for sequencing data and they are rarely accounted for. A locus-based method that has high power in the presence of rare variants is extended to incorporate such quality scores as weights, and its power is compared with the original method via a simulation study. Preliminary results suggest that taking uncertainty into account does not improve the power.