Table 2 |
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|
Comparison of multiple marker and single marker strategies |
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|
Correction for multiple testing |
Sensitivitya |
Specificitya |
FDRa |
% of all TL detectedb |
|
|
|
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|
FBAT-LC |
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|
|
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|
Multiple markersc |
None |
0.97 (0.08) |
0.95 (0.03) |
0.37 (0.17) |
0.56 (0.02) |
|
Benjamini & Hochberg |
0.95 (0.10) |
0.99 (0.09) |
0.03 (0.09) |
0.55 (0.02) |
|
|
Bonferroni |
0.94 (0.11) |
0.99 (0.09) |
0.03 (0.09) |
0.55 (0.03) |
|
|
Single-marker FBAT |
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|
|
|||||
|
Single markerd |
None |
0.97 (0.09) |
0.78 (0.03) |
0.83 (0.02) |
0.56 (0.02) |
|
Benjamini & Hochberg |
0.95 (0.11) |
0.87 (0.01) |
0.74 (0.02) |
0.55 (0.02) |
|
|
Bonferroni |
0.95 (0.11) |
0.87 (0.01) |
0.74 (0.03) |
0.55 (0.02) |
|
|
|
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|
aMean (standard deviation) of sensitivity, specificity, and false-discovery rate of FBAT-LC (multiple markers) and single-marker FBAT computed over 50 replicates of family data. bMean (standard deviation) of the proportion of all trait loci (TL) selected in Step 1 and detected in Step 2 by FBAT at the 5% level over 50 replicates. c50 regions were selected in Step 1 using the local score method. d115 SNPs were selected in Step 1 (see text) using the Pearson chi-square applied to case-control genotypic contingency table. |
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|
Aschard et al. BMC Proceedings 2007 1(Suppl 1):S134 |
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