Multiple-testing correction in metabolome-wide association studies

Multiple-testing correction in metabolome-wide association studies

Background: The search for statistically significant relationships between molecular markers and outcomes is challenging when dealing with high-dimensional, noisy and collinear multivariate omics data, such as metabolomic profiles. Permutation procedures allow for the estimation of adjusted signific...

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Bibliographic Details
Main Authors: Ebbels, T.M.D (Author), Glen, R. (Author), Peluso, A. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
article
biological model
Closed-form expression
Correlated tests
Correlation matrix
decomposition
Diverse properties
Error analysis
family-wise error rate
FWER
genetic marker
Genetic Markers
genetics
human
Metabolism
metabolome
Metabolome
metabolomics
Metabolomics
Models, Biological
Multiple testing
MWAS
MWSL
normal distribution
Normal distribution
outcome assessment
Parametric simulations
Permutation
Permutation procedures
procedures
Significance levels
simulation
Spectral decomposition
statistical distribution
Statistical Distributions
Synthetic and real data
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