Article Information
History
- February 4, 2017.
Article Versions
- You are currently viewing Version 1 of this article (February 4, 2017 - 13:21).
- View Version 2, the most recent version of this article.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Author Information
- Monica D. Ramstetter1,*,
- Thomas D. Dyer2,
- Donna M. Lehman2,
- Joanne E. Curran2,
- Ravindranath Duggirala2,
- John Blangero2,
- Jason G. Mezey1,3 and
- Amy L. Williams1,*
- 1Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853, USA
- 2South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX 78520, USA and Edinburg, TX 78539, USA
- 3Department of Genetic Medicine, Weill Cornell Medicine, New York, NY 10065, USA
- ↵*Correspondence: mdr232{at}cornell.edu (M.D.R.), alw289{at}cornell.edu (A.L.W)
Posted February 04, 2017.
A performance assessment of relatedness inference methods using genome-wide data from thousands of relatives
