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PUMA: A Unified Framework for Penalized Multiple Regression Analysis of GWAS Data

27 Jun 2013

Abstract excerpt

Penalized Multiple Regression (PMR) can be used to discover novel disease associations in GWAS datasets. In practice, proposed PMR methods have not been able to identify well-supported associations in GWAS that are undetectable by standard association tests and thus these methods are not widely applied. Here, we present a combined algorithmic and heuristic framework for PUMA (Penalized Unified Multiple-locus...

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PMID: 23825936
DOI: 10.1371/journal.pcbi.1003101

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