Open AccessMeta-Analysis for Penalized Regression Methods with Multi-Cohort Genome-Wide Association Studies
Author(s) -
Chen Lu,
George O'connor,
Josée Dupuis,
Eric D. Kolaczyk
Publication year - 2016
Publication title -
human heredity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.423
H-Index - 62
eISSN - 1423-0062
pISSN - 0001-5652
DOI - 10.1159/000447969
Subject(s) - genome wide association study , genetic association , regression , genetics , computational biology , biology , medicine , statistics , single nucleotide polymorphism , mathematics , genotype , gene
Penalized regression has been successfully applied in genome-wide association studies. While meta-analysis is often conducted to increase power and protect patients' confidentiality, methods for meta-analyzing results of penalized regression in multi-cohort setting are still under development.
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