Genome-wide association analysis of GAW17 data using an empirical Bayes variable selection

@inproceedings{Pungpapong2011GenomewideAA,
  title={Genome-wide association analysis of GAW17 data using an empirical Bayes variable selection},
  author={Vitara Pungpapong and Libo Wang and Yanzhu Lin and Dabao Zhang and Min Zhang},
  booktitle={BMC proceedings},
  year={2011}
}
Next-generation sequencing technologies enable us to explore rare functional variants. However, most current statistical techniques are too underpowered to capture signals of rare variants in genome-wide association studies. We propose a supervised coalescing of single-nucleotide polymorphisms to obtain gene-based markers that can stably reveal possible genetic effects related to rare alleles. We use a newly developed empirical Bayes variable selection algorithm to identify associations between… CONTINUE READING
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