Using Multiple Measures for Quantitative Trait Association Analyses: Application to Estimated Glomerular Filtration Rate (eGFR)

@inproceedings{Tin2013UsingMM,
  title={Using Multiple Measures for Quantitative Trait Association Analyses: Application to
Estimated Glomerular Filtration Rate (eGFR)},
  author={Adrienne Tin and Elizabeth Colantuoni and Eric Boerwinkle and Anna Kottgen and Nora Franceschini and BC Astor and Josef Coresh and W. H. Linda Kao},
  booktitle={Journal of Human Genetics},
  year={2013}
}
Studies of multiple measures of a quantitative trait can have greater precision and thus statistical power compared with single-measure studies, but this has rarely been studied in the relation to quantitative trait measurement error models in genetic association studies. Using estimated glomerular filtration rate (eGFR), a quantitative measure of kidney function, as an example we constructed measurement error models of a quantitative trait with systematic and random error components. We then… CONTINUE READING
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A Catalog of Published Genome-Wide Association Studies

  • L. Hindorff, JEBI. MacArthur, A. Wise, H. Junkins, P. Hall, A Klemm
  • 2012
2 Excerpts

MultiPhen: Joint model of multiple phenotype increases discovery in GWAS Presented at ASHG/ICHG; October

  • L. Coin, P. O'Reilly, Y. Pompyen, C FC.Hoggart
  • 2011
1 Excerpt

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