A novel algorithm for simultaneous SNP selection in high-dimensional genome-wide association studies

Abstract

Identification of causal SNPs in most genome wide association studies relies on approaches that consider each SNP individually. However, there is a strong correlation structure among SNPs that needs to be taken into account. Hence, increasingly modern computationally expensive regression methods are employed for SNP selection that consider all markers… (More)
DOI: 10.1186/1471-2105-13-284

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@inproceedings{Zuber2012ANA, title={A novel algorithm for simultaneous SNP selection in high-dimensional genome-wide association studies}, author={Verena Zuber and A. Pedro Silva and Korbinian Strimmer}, booktitle={BMC Bioinformatics}, year={2012} }