Penalized partial least squares for pleiotropy

Penalized partial least squares for pleiotropy

Abstract 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 under...

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Bibliographic Details
Main Authors: Camilo Broc, Therese Truong, Benoit Liquet
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Bioinformatics
Subjects:
Genetic epidemiology
High dimensional data
Lasso Penalization
Meta-analysis
Oncology
Partial Least Square
Online Access:https://doi.org/10.1186/s12859-021-03968-1

Internet

https://doi.org/10.1186/s12859-021-03968-1

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