Jun 11, 2014

Wavelet Screening: a novel approach to analysing GWAS data

BioRxiv : the Preprint Server for Biology
Michael O DuffBrenton Graveley


We present here an alternative method for genome-wide association study (GWAS) that is more powerful than traditional GWAS methods for locus detection. Single-variant GWAS methods incur a substantial multiple-testing burden because of the vast number of single nucleotide polymorphisms (SNPs) being tested simultaneously. Furthermore, these methods do not consider the functional genetic effect on the outcome because they ignore more complex joint effects of nearby SNPs within a region. By contrast, our method reduces the number of tests to be performed by screening the entire genome for associations using a sliding-window approach based on wavelets. In this context, a sequence of SNPs represents a genetic signal, and for each screened region, we transform the genetic signal into the wavelet space. The null and alternative hypotheses are modelled using the posterior distribution of the wavelet coefficients. We enhance our decision procedure by using additional information from the regression coefficients and by taking advantage of the pyramidal structure of wavelets. When faced with more complex signals than single-SNP associations, we show through simulations that Wavelet Screening provides a substantial gain in power compared to...Continue Reading

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Mentioned in this Paper

Genome-Wide Association Study
Sequence Determinations, RNA
Transcription, Genetic
Nuclear mRNA Cis Splicing, via Spliceosome
Ubx protein, Drosophila
RNA Splicing

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