1 / 1

Statistical Power of Meta-analysis in Detecting Diabetes Variants

Explore the statistical power of DIAGRAM meta-analysis with 9,562 samples to identify diabetes-related variants of varying odds ratios across different risk allele frequencies. Obtain permission from The Endocrine Society. References by Florez, J.C. and Stolerman, E.S. Detailed in-depth analysis of type 2 diabetes genetics.

colton-wise
Télécharger la présentation

Statistical Power of Meta-analysis in Detecting Diabetes Variants

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Figure 1 Statistical power of the DIAGRAM meta-analysis (n = 9,562) to detect diabetes-related variants of different ORs across various risk allele frequencies, assuming complete coverage Permission obtained from The Endocrine Society  Florez, J. C. The genetics of type 2 diabetes: a realistic appraisal in2008. J. Clin. Endocrinol Metab.. 93, 4633–4642 (2008) Stolerman, E. S. and Florez, J. C. (2009) Genomics of type 2 diabetes mellitus: implications for the clinician Nat. Rev. Endocrinol. doi:10.1038/nrendo.2009.129

More Related