Generating genetic risk scores from intermediate phenotypes for use in association studies of clinically significant endpoints.

@article{Horne2005GeneratingGR,
  title={Generating genetic risk scores from intermediate phenotypes for use in association studies of clinically significant endpoints.},
  author={Benjamin D. Horne and Jeffrey L Anderson and John F. Carlquist and Joseph Brent Muhlestein and Dale G. Renlund and Tami L. Bair and Robert R. Pearson and Nicola J. Camp},
  journal={Annals of human genetics},
  year={2005},
  volume={69 Pt 2},
  pages={176-86}
}
While previous results of genetic association studies for common, complex diseases (eg., coronary artery disease, CAD) have been disappointing, examination of multiple related genes within a physiologic pathway may provide improved resolution. This paper describes a method of calculating a genetic risk score (GRS) for a clinical endpoint by integrating data from many candidate genes and multiple intermediate phenotypes (IPs). First, the association of all single nucleotide polymorphisms (SNPs… CONTINUE READING

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