Comparison between the stochastic search variable selection and the least absolute shrinkage and selection operator for genome-wide association studies of rheumatoid arthritis

@inproceedings{Srivastava2009ComparisonBT,
  title={Comparison between the stochastic search variable selection and the least absolute shrinkage and selection operator for genome-wide association studies of rheumatoid arthritis},
  author={Sudeep Kumar Srivastava and Liang Chen},
  booktitle={BMC proceedings},
  year={2009}
}
BACKGROUND Because multiple loci control complex diseases, there is great interest in testing markers simultaneously instead of one by one. In this paper, we applied two model selection algorithms: the stochastic search variable selection (SSVS) and the least absolute shrinkage and selection operator (LASSO) to two quantitative phenotypes related to rheumatoid arthritis (RA). RESULTS The Genetic Analysis Workshop 16 data includes 2,062 unrelated individuals and 545,080 single-nucleotide… CONTINUE READING
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