Comparison of Strategies A and B for Fine Mapping the Location of the Disease Mutation in 100 Data Sets Simulated Based on the Cystic Fibrosis Data
LD mapping algorithm | Strategy | Mean(pos)a | Std(pos)b | Mean 95% PI widthc | RMSEd | Overlape |
|---|---|---|---|---|---|---|
| BLADE | A | 0.8600 | 0.0145 | 0.1461 | 0.0262 | 99% |
| B | 0.8647 | 0.0315 | 0.1402 | 0.0349 | 96% | |
| DHSMap | A | 0.8868 | 0.0428 | 0.2141 | 0.0432 | 96% |
| B | 0.9072 | 0.0702 | 0.1620 | 0.0749 | 66% |
a The average of the 100 location estimates in the 100 simulations (true location = 0.88 cM).
b The sample standard deviation of the 100 location estimates.
c The average width of the 95% probability intervals (PIs) in the 100 simulations.
d Root mean square error (RMSE): square root of the average squared differences between the estimated and the true location, i.e., RMSE = [TeX:] \batchmode \documentclass[fleqn,10pt,legalpaper]{article} \usepackage{amssymb} \usepackage{amsfonts} \usepackage{amsmath} \pagestyle{empty} \begin{document} \(\sqrt{(1{/}100){{\sum}_{i=1}^{100}}({\hat{{\theta}}}_{i}-{\theta})^{2}}\) \end{document} , where θ is the true location and [TeX:] \batchmode \documentclass[fleqn,10pt,legalpaper]{article} \usepackage{amssymb} \usepackage{amsfonts} \usepackage{amsmath} \pagestyle{empty} \begin{document} \({\hat{{\theta}}}_{i}\) \end{document} is the location estimate based on the ith simulated data set.
e The percentage of times (in the 100 simulations) that the 95% PI overlapped with the target region.