Penalized partial least squares for pleiotropy

Penalized partial least squares for pleiotropy

Background: The increasing number of genome-wide association studies (GWAS) has revealed several loci that are associated to multiple distinct phenotypes, suggesting the existence of pleiotropic effects. Highlighting these cross-phenotype genetic associations could help to identify and understand co...

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Bibliographic Details
Main Authors: Broc, C. (Author), Liquet, B. (Author), Truong, T. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Application fields
Architecture
Benchmarking
Biological mechanisms
Genetic epidemiology
Genetic variants
Genome-wide association studies
genome-wide association study
Genome-Wide Association Study
High dimensional data
Lasso Penalization
least square analysis
Least squares approximations
Least-Squares Analysis
Meta-analysis
Oncology
Partial Least Square
Partial least square (PLS)
Pathway analysis
Penalized partial least squares
phenotype
Phenotype
Pleiotropic effects
Pleiotropy
Polymorphism, Single Nucleotide
Priori information
Signal detection
single nucleotide polymorphism
Sparse methods
Variable selection
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