Table 2

Comparison of multiple marker and single marker strategies

Correction for multiple testing

Sensitivitya

Specificitya

FDRa

% of all TL detectedb


FBAT-LC


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


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)


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.

Aschard et al. BMC Proceedings 2007 1(Suppl 1):S134  

Open Data