Table 1.
Performance of TIgGER in detecting the set of V gene alleles comprising each IGHV family starting from a sparse IgGRdb.
| Subject | IGHV family | Alleles discovered/Alleles present (%) |
|---|---|---|
| 420IV | 1 | 12/12 (100%) |
| 420IV | 2 | 5/5 (100%) |
| 420IV | 3 | 24/27 (89%) |
| 420IV | 4 | 9/9 (100%) |
| 420IV | 5 | 3/3 (100%) |
| 420IV | 6 | 1/1 (100%) |
| 420IV | 7 | 1/1 (100%) |
| 420IV | 55/58 (95%) | |
| hu420143 | 1 | 8/12 (67%) |
| hu420143 | 2 | 5/5 (100%) |
| hu420143 | 3 | 16/22 (73%) |
| hu420143 | 4 | 9/11 (82%) |
| hu420143 | 5 | 1/1 (100%) |
| hu420143 | 6 | 1/1 (100%) |
| hu420143 | 7 | 1/1 (100%) |
| hu420143 | 41/53 (77%) | |
| PGP1 | 1 | 11/14 (79%) |
| PGP1 | 2 | 6/6 (100%) |
| PGP1 | 3 | 14/29 (48%) |
| PGP1 | 4 | 10/13 (77%) |
| PGP1 | 5 | 1/2 (50%) |
| PGP1 | 6 | 1/1 (100%) |
| PGP1 | 7 | 1/2 (50%) |
| PGP1 | 44/67 (66%) | |
| Total | 140/178 (79%) |
TIgGER was run iteratively to detect the set of IGHV alleles carried by each of three subjects. An example of detecting IGHV1 family alleles is shown in Figure 4. For each subject, the algorithm was provided an initial IgGRdb consisting of only the single most-commonly observed allele for each IGHV family. Performance was assessed by comparing the final number of alleles per family discovered by this iterative method to the number of alleles per family resulting from running the TIgGER algorithm when provided with a complete list of IgGRdb alleles. The final total number of alleles discovered for each subject are highlighted in bold.