An evaluation of power to detect low-frequency variant associations using allele-matching tests that account for uncertainty.
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.
Wellcome Trust Sanger Institute, Hinxton, CB10 1HH, UK. Eleftheria@sanger.ac.uk
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Zeggini
J L
JL
Asimit
D000483:Alleles; D019295:Computational Biology; D003198:Computer Simulation; D004194:Disease / Q000235:genetics; D014644:Genetic Variation; D006801:Humans; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide; D018709:Statistics, Nonparametric