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. Author manuscript; available in PMC: 2014 Jun 9.
Published in final edited form as: Nat Immunol. 2008 Nov 23;10(1):116–125. doi: 10.1038/ni.1688

Table 4. Genomic signatures that predict the magnitude of the neutralizing antibody responses using the DAMIP model.

DAMIP model predictive signatures
Train on trial 1, test on trial 2
Train on trial 2, test on trial 1
Gene name Gene symbol Gene ID 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5
BEN domain-containing 4 BEND4 Hs.120591 × × × × × × × ×
Transcribed locus Hs.139006 × × × ×
6-Phosphofructo-2-kinase/fructose-2,6-biphosphatase 3 PFKFB3 Hs.195471 ×
Tumor necrosis factor receptor superfamily, member 17 TNFRSF17 Hs.2556 × × × × × × × × × × × × × × ×
Tumor protein D52 TPD52 Hs.368433 × × × × ×
Transcribed locus Hs.481166 × × × ×
Kelch repeat and BTB (POZ) domain containing 7 KBTBD7 Hs.63841 × × × × × × × × × × × ×
Transcribed locus Hs.649726 × × × ×
Nucleosome assembly protein 1-like 2 NAP1L2 Hs.66180 × ×
Accuracy of 10-fold cross-validation (%) 80 80 80 87 87 80 80 80 80 80 89 89 89 89 89
Accuracy of 1-fold blind prediction (%) 100 100 100 100 100 100 100 100 100 100 73 73 73 73 80
Accuracy of 10-fold blind prediction (%) 97 99 94 92 96 98 92 93 93 94 72 71 75 70 79

Analysis of signatures that predict the neutralizing antibody responses. Here all the discriminatory predictive signature sets turned out to consist of day 7 gene expression only. Further, training on trial 1 produces a high blind prediction accuracy on trial 2. TNFRSF17 was present in all the predictive signature sets of the DAMIP model, and several genes, including KBTBD7 and BEND4 appeared in several signature sets.