Wavelet Screening: a novel approach to analyzing GWAS data

Wavelet Screening: a novel approach to analyzing GWAS data

Background: Traditional methods for single-variant genome-wide association study (GWAS) incur a substantial multiple-testing burden because of the need to test for associations with a vast number of single-nucleotide polymorphisms (SNPs) simultaneously. Further, by ignoring more complex joint effect...

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Bibliographic Details
Main Authors: Denault, W.R.P (Author), Gjessing, H.K (Author), Jacobsson, B. (Author), Jugessur, A. (Author), Juodakis, J. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
alternative hypothesis
article
cohort analysis
Complex joints
controlled study
feasibility study
Genes
Genome-wide association studies
genome-wide association study
Genome-Wide Association Study
genomics
Genomics
genotype
Genotype
GWAS
human
Humans
Joint effect
major clinical study
Multiple testing
Norwegian (people)
Oscillatory functions
phenotype
Phenotype
Polygenic association
Polymorphism, Single Nucleotide
simulation
single nucleotide polymorphism
Single nucleotide polymorphisms
Sliding Window
SNP
Wavelet analysis
Wavelet regression
Wavelet transforms
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