Contract grant sponsor: National Institutes of Health; Contract grant numbers: HG000376; DK062370.
Identifying Plausible Genetic Models Based on Association and Linkage Results: Application to Type 2 Diabetes
Article first published online: 3 AUG 2012
© 2012 Wiley Periodicals, Inc.
Volume 36, Issue 8, pages 820–828, December 2012
How to Cite
Guan, W., Boehnke, M., Pluzhnikov, A., Cox, N. J. and Scott, L. J. (2012), Identifying Plausible Genetic Models Based on Association and Linkage Results: Application to Type 2 Diabetes. Genet. Epidemiol., 36: 820–828. doi: 10.1002/gepi.21668
- Issue published online: 14 NOV 2012
- Article first published online: 3 AUG 2012
- Manuscript Accepted: 20 JUN 2012
- Manuscript Revised: 19 JUN 2012
- Manuscript Received: 24 JAN 2012
- National Institutes of Health. Grant Numbers: HG000376, DK062370
Disclaimer: Supplementary materials have been peer-reviewed but not copyedited.
|gepi21668-sup-0001-FigureS1.tif||2111K||Figure 1. Genotype relative risks at causal variant C (GRRC) that result in 5% power to detect association (p < 5×10−8) at genotyped variant M using n cases and n controls. We assume disease prevalence 10% and D′ = 0.6 and 0.8 between M and C.|
|gepi21668-sup-0002-FigureS2.tif||2111K||Figure 2. T2D linkage maximum LOD scores (MLS) at the loci identified in T2D association analyses. The x-axis is the risk allele frequency (RAFM) of T2D-associated SNPs.|
|gepi21668-sup-0004-TableS1.doc||152K||Table 1. T2D susceptibility loci detected with common variants. RAFC is a lower bound at which there is 5% or 50% power to detect association at observed p-value at marker M in a GWAS of the given effective sample size, and 95% or 80% power to detect linkage at the observed MLS value given 4,200 ASPs.|
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