An optimal weighted aggregated association test for identification of rare variants involved in common diseases.

@article{Sul2011AnOW,
  title={An optimal weighted aggregated association test for identification of rare variants involved in common diseases.},
  author={Jae Hoon Sul and Buhm Han and Dan He and Eleazar Eskin},
  journal={Genetics},
  year={2011},
  volume={188 1},
  pages={181-8}
}
The advent of next generation sequencing technologies allows one to discover nearly all rare variants in a genomic region of interest. This technological development increases the need for an effective statistical method for testing the aggregated effect of rare variants in a gene on disease susceptibility. The idea behind this approach is that if a certain gene is involved in a disease, many rare variants within the gene will disrupt the function of the gene and are associated with the disease… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 26 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 27 references

Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data

Li, S M Leal
Am J Hum Genet • 2008

Similar Papers

Loading similar papers…