Exploratory data analysis in large-scale genetic studies.

@article{Teo2010ExploratoryDA,
  title={Exploratory data analysis in large-scale genetic studies.},
  author={Yik Y. Teo},
  journal={Biostatistics},
  year={2010},
  volume={11 1},
  pages={70-81}
}
Genome-wide association studies (GWAS) have become the method of choice for investigating the genetic basis of common diseases and complex traits. The immense scale of these experiments is unprecedented, involving thousands of samples and up to a million variables. The careful execution of exploratory data analysis (EDA) prior to the actual genotype-phenotype association analysis is crucial as this identifies problematic samples and poorly assayed genetic polymorphisms that, if undetected, can… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
Showing 1-10 of 22 references

Replicating genotypephenotype associations

  • ASSOCIATION STUDIES
  • Nature 447, 655–660. PATTERSON, N., PRICE, A. L…
  • 2007
Highly Influential
4 Excerpts

A method to address differential bias

  • D. G. CLAYTON
  • 2007

A new multipoint method for genome-wide association studies by imputation of genotypes

  • P. DONNELLY
  • Nature Genetics 39, 906–913. NCI-NHGRI WORKING…
  • 2007

Genome - wide association study of 14 , 000 cases of seven common diseases and 3 , 000 shared controls

  • S. WRIGHT
  • Nature
  • 2007

Similar Papers

Loading similar papers…