Genome-wide association studies of rheumatoid arthritis data via multiple hypothesis testing methods for correlated tests

@inproceedings{Kang2009GenomewideAS,
  title={Genome-wide association studies of rheumatoid arthritis data via multiple hypothesis testing methods for correlated tests},
  author={Guolian Kang and Douglas K. Childers and Nianjun Liu and Kui Ting Zhang and Guimin Gao},
  booktitle={BMC proceedings},
  year={2009}
}
Genome-wide association studies often involve testing hundreds of thousands of single-nucleotide polymorphisms (SNPs). These tests may be highly correlated because of linkage disequilibrium among SNPs. Multiple testing correction ignoring the correlation among markers, as is done in the Bonferroni procedure, can cause loss of power. Several multiple testing… CONTINUE READING