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Genome-wide association analysis by lasso penalized logistic regression | Synapse
January 28, 2009
Open Access
Genome-wide association analysis by lasso penalized logistic regression
TW
Tong Tong Wu
University of Occupational and Environmental Health Japan
YC
Yi Fang Chen
Ming Chuan University
Trevor Hastie
Stanford University
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Key Points
This analysis aims to identify significant genetic variants associated with specific traits using an efficient statistical method.
Employed lasso penalized logistic regression for genome-wide association analysis.
Analyzed genetic variants across the genome to determine associations with traits.
Identified several genetic variants significantly associated with the traits examined.
Abstract
Supplementary data are available at Bioinformatics online.
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Wu et al. (Wed,) studied this question.
synapsesocial.com/papers/69df2c083b0ba53fb37a1d53
https://doi.org/https://doi.org/10.1093/bioinformatics/btp041