Overview
immunogenetr is a comprehensive toolkit for clinical HLA informatics, built on tidyverse principles. It uses the genotype list string (GL string, https://glstring.org/) as its core data structure for storing and computing HLA genotype data.
This vignette walks through the main workflows:
- Converting tabular HLA data to GL strings
- Splitting GL strings back into individual loci
- Calculating mismatches between recipient and donor
- Summarizing HLA matching for transplantation
- Working with HLA allele names (truncation, prefixes, regex)
- Reading HML files
Converting tabular HLA data to GL strings
Clinical HLA data is typically stored in a tabular format, with each
allele in its own column. immunogenetr includes the
HLA_typing_1 dataset as an example:
# HLA_typing_1 contains typing for 10 individuals across all classical HLA loci.
head(HLA_typing_1, 3)| patient | A1 | A2 | C1 | C2 | B1 | B2 | DRB345_1 | DRB345_2 | DRB1_1 | DRB1_2 | DQA1_1 | DQA1_2 | DQB1_1 | DQB1_2 | DPA1_1 | DPA1_2 | DPB1_1 | DPB1_2 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | A*24:02 | A*29:02 | C*07:04 | C*16:01 | B*44:02 | B*44:03 | DRB5*01:01 | DRB5*01:01 | DRB1*15:01 | DRB1*15:01 | DQA1*01:02 | DQA1*01:02 | DQB1*06:02 | DQB1*06:02 | DPA1*01:03 | DPA1*01:03 | DPB1*03:01 | DPB1*04:01 |
| 2 | A*02:01 | A*11:05 | C*07:01 | C*07:02 | B*07:02 | B*08:01 | DRB3*01:01 | DRB4*01:03 | DRB1*03:01 | DRB1*04:01 | DQA1*03:03 | DQA1*05:01 | DQB1*02:01 | DQB1*03:01 | DPA1*01:03 | DPA1*01:03 | DPB1*04:01 | DPB1*04:01 |
| 3 | A*02:01 | A*26:18 | C*02:02 | C*03:04 | B*27:05 | B*54:01 | DRB3*02:02 | DRB4*01:03 | DRB1*04:04 | DRB1*14:54 | DQA1*01:04 | DQA1*03:01 | DQB1*03:02 | DQB1*05:02 | DPA1*01:03 | DPA1*02:02 | DPB1*02:01 | DPB1*05:01 |
The HLA_columns_to_GLstring() function converts these
columns into a single GL string per individual. When used inside
mutate(), pass . as the first argument to
reference the working data frame:
HLA_typing_GL <- HLA_typing_1 %>%
# Convert all typing columns (A1 through DPB1_2) into a GL string.
mutate(
GL_string = HLA_columns_to_GLstring(., HLA_typing_columns = A1:DPB1_2),
.after = patient
) %>%
# Keep only patient ID and the new GL string column.
select(patient, GL_string)
# View the GL strings.
(HLA_typing_GL)| patient | GL_string |
|---|---|
| 1 | HLA-A*24:02+HLA-A*29:02^HLA-C*07:04+HLA-C*16:01^HLA-B*44:02+HLA-B*44:03^HLA-DRB5*01:01+HLA-DRB5*01:01^HLA-DRB1*15:01+HLA-DRB1*15:01^HLA-DQA1*01:02+HLA-DQA1*01:02^HLA-DQB1*06:02+HLA-DQB1*06:02^HLA-DPA1*01:03+HLA-DPA1*01:03^HLA-DPB1*03:01+HLA-DPB1*04:01 |
| 2 | HLA-A*02:01+HLA-A*11:05^HLA-C*07:01+HLA-C*07:02^HLA-B*07:02+HLA-B*08:01^HLA-DRB3*01:01^HLA-DRB4*01:03^HLA-DRB1*03:01+HLA-DRB1*04:01^HLA-DQA1*03:03+HLA-DQA1*05:01^HLA-DQB1*02:01+HLA-DQB1*03:01^HLA-DPA1*01:03+HLA-DPA1*01:03^HLA-DPB1*04:01+HLA-DPB1*04:01 |
| 3 | HLA-A*02:01+HLA-A*26:18^HLA-C*02:02+HLA-C*03:04^HLA-B*27:05+HLA-B*54:01^HLA-DRB3*02:02^HLA-DRB4*01:03^HLA-DRB1*04:04+HLA-DRB1*14:54^HLA-DQA1*01:04+HLA-DQA1*03:01^HLA-DQB1*03:02+HLA-DQB1*05:02^HLA-DPA1*01:03+HLA-DPA1*02:02^HLA-DPB1*02:01+HLA-DPB1*05:01 |
| 4 | HLA-A*29:02+HLA-A*30:02^HLA-C*06:02+HLA-C*07:01^HLA-B*08:01+HLA-B*13:02^HLA-DRB4*01:03+HLA-DRB4*01:03^HLA-DRB1*04:01+HLA-DRB1*07:01^HLA-DQA1*02:01+HLA-DQA1*03:01^HLA-DQB1*02:02+HLA-DQB1*03:02^HLA-DPA1*01:03+HLA-DPA1*02:01^HLA-DPB1*01:01+HLA-DPB1*16:01 |
| 5 | HLA-A*02:05+HLA-A*24:02^HLA-C*07:18+HLA-C*12:03^HLA-B*35:03+HLA-B*58:01^HLA-DRB3*02:02+HLA-DRB3*02:02^HLA-DRB1*03:01+HLA-DRB1*14:54^HLA-DQA1*01:04+HLA-DQA1*05:01^HLA-DQB1*02:01+HLA-DQB1*05:03^HLA-DPA1*01:03+HLA-DPA1*02:01^HLA-DPB1*10:01+HLA-DPB1*124:01 |
| 6 | HLA-A*01:01+HLA-A*24:02^HLA-C*07:01+HLA-C*14:02^HLA-B*49:01+HLA-B*51:01^HLA-DRB3*03:01^HLA-DRB1*08:01+HLA-DRB1*13:02^HLA-DQA1*01:02+HLA-DQA1*04:01^HLA-DQB1*04:02+HLA-DQB1*06:04^HLA-DPA1*01:03+HLA-DPA1*01:04^HLA-DPB1*04:01+HLA-DPB1*15:01 |
| 7 | HLA-A*03:01+HLA-A*03:01^HLA-C*03:03+HLA-C*16:01^HLA-B*15:01+HLA-B*51:01^HLA-DRB4*01:01^HLA-DRB1*01:01+HLA-DRB1*07:01^HLA-DQA1*01:01+HLA-DQA1*02:01^HLA-DQB1*02:02+HLA-DQB1*05:01^HLA-DPA1*01:03+HLA-DPA1*01:03^HLA-DPB1*04:01+HLA-DPB1*04:01 |
| 8 | HLA-A*01:01+HLA-A*32:01^HLA-C*06:02+HLA-C*07:02^HLA-B*08:01+HLA-B*37:01^HLA-DRB3*02:02^HLA-DRB5*01:01^HLA-DRB1*03:01+HLA-DRB1*15:01^HLA-DQA1*01:02+HLA-DQA1*05:01^HLA-DQB1*02:01+HLA-DQB1*06:02^HLA-DPA1*01:03+HLA-DPA1*02:01^HLA-DPB1*04:01+HLA-DPB1*14:01 |
| 9 | HLA-A*03:01+HLA-A*30:01^HLA-C*07:02+HLA-C*12:03^HLA-B*07:02+HLA-B*38:01^HLA-DRB3*01:01^HLA-DRB5*01:01^HLA-DRB1*03:01+HLA-DRB1*15:01^HLA-DQA1*01:02+HLA-DQA1*05:01^HLA-DQB1*02:01+HLA-DQB1*06:02^HLA-DPA1*01:03+HLA-DPA1*01:03^HLA-DPB1*04:01+HLA-DPB1*04:01 |
| 10 | HLA-A*02:05+HLA-A*11:01^HLA-C*07:18+HLA-C*16:02^HLA-B*51:01+HLA-B*58:01^HLA-DRB3*03:01^HLA-DRB5*01:01^HLA-DRB1*13:02+HLA-DRB1*15:01^HLA-DQA1*01:02+HLA-DQA1*01:03^HLA-DQB1*06:01+HLA-DQB1*06:09^HLA-DPA1*01:03+HLA-DPA1*01:03^HLA-DPB1*02:01+HLA-DPB1*104:01 |
Each GL string encodes the full genotype: alleles within a gene copy
are separated by / (ambiguity), gene copies by
+, and loci by ^.
Splitting GL strings into loci
To go the other direction, GLstring_genes() splits a GL
string back into separate columns by locus:
# Take the first patient's GL string and split it into locus columns.
# Note: GLstring_genes and GLstring_genes_expanded use pivot_longer on all
# columns, so only pass the GL string column (no other data types).
single_patient <- HLA_typing_GL[1, "GL_string", drop = FALSE]
GLstring_genes(single_patient, "GL_string")| HLA_A | HLA_C | HLA_B | HLA_DRB5 | HLA_DRB1 | HLA_DQA1 | HLA_DQB1 | HLA_DPA1 | HLA_DPB1 |
|---|---|---|---|---|---|---|---|---|
| HLA-A*24:02+HLA-A*29:02 | HLA-C*07:04+HLA-C*16:01 | HLA-B*44:02+HLA-B*44:03 | HLA-DRB5*01:01+HLA-DRB5*01:01 | HLA-DRB1*15:01+HLA-DRB1*15:01 | HLA-DQA1*01:02+HLA-DQA1*01:02 | HLA-DQB1*06:02+HLA-DQB1*06:02 | HLA-DPA1*01:03+HLA-DPA1*01:03 | HLA-DPB1*03:01+HLA-DPB1*04:01 |
For a fully expanded view with one allele per row, use
GLstring_genes_expanded():
GLstring_genes_expanded(single_patient, "GL_string")| A | C | B | DRB5 | DRB1 | DQA1 | DQB1 | DPA1 | DPB1 |
|---|---|---|---|---|---|---|---|---|
| HLA-A*24:02 | HLA-C*07:04 | HLA-B*44:02 | HLA-DRB5*01:01 | HLA-DRB1*15:01 | HLA-DQA1*01:02 | HLA-DQB1*06:02 | HLA-DPA1*01:03 | HLA-DPB1*03:01 |
| HLA-A*29:02 | HLA-C*16:01 | HLA-B*44:03 | HLA-DRB5*01:01 | HLA-DRB1*15:01 | HLA-DQA1*01:02 | HLA-DQB1*06:02 | HLA-DPA1*01:03 | HLA-DPB1*04:01 |
Calculating HLA mismatches
The mismatch functions are the core of immunogenetr. They all take a recipient GL string, a donor GL string, one or more loci, and a direction.
Let’s set up a recipient/donor pair:
# Patient 7 is the recipient, patient 9 is the donor.
recip_gl <- HLA_typing_GL %>% filter(patient == 7) %>% pull(GL_string)
donor_gl <- HLA_typing_GL %>% filter(patient == 9) %>% pull(GL_string)Is there a mismatch? (HLA_mismatch_logical)
# Check if there is an HLA-A mismatch in the graft-vs-host direction.
HLA_mismatch_logical(recip_gl, donor_gl, "HLA-A", direction = "GvH")#> [1] FALSE
# Check host-vs-graft direction.
HLA_mismatch_logical(recip_gl, donor_gl, "HLA-A", direction = "HvG")#> [1] TRUE
How many mismatches? (HLA_mismatch_number)
# Count bidirectional mismatches across several loci at once.
HLA_mismatch_number(
recip_gl, donor_gl,
c("HLA-A", "HLA-B", "HLA-C", "HLA-DRB1"),
direction = "bidirectional"
)#> [1] "HLA-A=1, HLA-B=2, HLA-C=2, HLA-DRB1=2"
Which alleles are mismatched?
(HLA_mismatched_alleles)
# Identify the specific mismatched alleles in the HvG direction.
HLA_mismatched_alleles(recip_gl, donor_gl, "HLA-A", direction = "HvG")#> [1] "HLA-A*30:01"
Match count (HLA_match_number)
# Count the number of matches (complement of mismatches).
HLA_match_number(
recip_gl, donor_gl,
c("HLA-A", "HLA-B", "HLA-C", "HLA-DRB1"),
direction = "bidirectional"
)#> [1] "HLA-A=1, HLA-B=0, HLA-C=0, HLA-DRB1=0"
HLA match summaries for transplantation
The HLA_match_summary_HCT() function provides standard
match grades used in hematopoietic cell transplantation:
# X-of-8 matching (A, B, C, DRB1 bidirectional).
HLA_match_summary_HCT(recip_gl, donor_gl,
direction = "bidirectional",
match_grade = "Xof8"
)#> [1] 1
# X-of-10 matching (adds DQB1).
HLA_match_summary_HCT(recip_gl, donor_gl,
direction = "bidirectional",
match_grade = "Xof10"
)#> [1] 1
Finding the best donor
A common workflow is comparing one recipient against multiple potential donors:
# Patient 3 is the recipient; compare against all 10 donors.
recipient <- HLA_typing_GL %>%
filter(patient == 3) %>%
select(GL_string) %>%
rename(GL_string_recip = GL_string)
donors <- HLA_typing_GL %>%
rename(GL_string_donor = GL_string, donor = patient) %>%
# Cross-join to pair recipient with each donor.
cross_join(recipient) %>%
# Calculate 8/8 match grade for each pair.
mutate(
match_8of8 = HLA_match_summary_HCT(
GL_string_recip, GL_string_donor,
direction = "bidirectional",
match_grade = "Xof8"
),
.after = donor
) %>%
# Sort best matches first.
arrange(desc(match_8of8))
donors %>% select(donor, match_8of8)| donor | match_8of8 |
|---|---|
| 3 | 8 |
| 2 | 1 |
| 5 | 1 |
| 1 | 0 |
| 4 | 0 |
| 6 | 0 |
| 7 | 0 |
| 8 | 0 |
| 9 | 0 |
| 10 | 0 |
Working with HLA allele names
Truncation
HLA_truncate() reduces allele resolution to a specified
number of fields:
# Truncate a four-field allele to two fields.
HLA_truncate("HLA-A*02:01:01:01", fields = 2)#> [1] "HLA-A*02:01"
# Works on full GL strings too.
HLA_truncate("HLA-A*02:01:01:01+HLA-A*03:01:01:02^HLA-B*07:02:01:01+HLA-B*44:02:01:01",
fields = 2
)#> [1] "HLA-A*02:01+HLA-A*03:01^HLA-B*07:02+HLA-B*44:02"
Prefix management
HLA_prefix_remove() and HLA_prefix_add()
manage the HLA- and locus prefixes:
# Remove all prefixes to get just the allele fields.
HLA_prefix_remove("HLA-A*02:01")#> [1] "02:01"
# Keep the locus designation but remove "HLA-".
HLA_prefix_remove("HLA-A*02:01", keep_locus = TRUE)#> [1] "A*02:01"
# Add the full prefix back.
HLA_prefix_add("02:01", "HLA-A*")#> [1] "HLA-A*02:01"
# "HLA-" is added by default.
HLA_prefix_add("A*02:01")#> [1] "HLA-A*02:01"
Regex for GL string searching
GLstring_regex() creates regex patterns that accurately
search within GL strings, preventing partial matches across field
boundaries:
gl <- "HLA-A*02:01:01+HLA-A*68:01^HLA-B*07:01+HLA-B*15:01"
# A two-field search correctly matches the three-field allele.
pattern <- GLstring_regex("HLA-A*02:01")
stringr::str_detect(gl, pattern)#> [1] TRUE
# But won't falsely match a longer allele number.
stringr::str_detect("HLA-A*02:149:01", GLstring_regex("HLA-A*02:14"))#> [1] FALSE
Column name repair
When working in the tidyverse, column names with dashes and asterisks
are inconvenient. HLA_column_repair() converts between
WHO-standard (HLA-A*) and tidyverse-friendly
(HLA_A) formats:
# GLstring_genes returns tidyverse-friendly names by default.
repaired <- GLstring_genes(single_patient, "GL_string")
names(repaired)#> [1] "HLA_A" "HLA_C" "HLA_B" "HLA_DRB5" "HLA_DRB1" "HLA_DQA1" "HLA_DQB1"
#> [8] "HLA_DPA1" "HLA_DPB1"
# Convert back to WHO format with asterisks.
who_names <- HLA_column_repair(repaired, format = "WHO", asterisk = TRUE)
names(who_names)#> [1] "HLA-A*" "HLA-C*" "HLA-B*" "HLA-DRB5*" "HLA-DRB1*" "HLA-DQA1*"
#> [7] "HLA-DQB1*" "HLA-DPA1*" "HLA-DPB1*"
Reading HML files
The read_HML() function extracts GL strings from HML
(HLA Markup Language) files, which are a standard format for reporting
HLA typing results from next-generation sequencing:
# immunogenetr ships with two example HML files.
hml_path <- system.file("extdata", "HML_1.hml", package = "immunogenetr")
hml_result <- read_HML(hml_path)
hml_result| sampleID | GL_string |
|---|---|
| 22-03848-HLA-031722-AB-AlloSeq-EP | HLA-A*33:03:01:01+HLA-A*34:02:01:01^HLA-B*14:01:01:01+HLA-B*44:03:02:04^HLA-C*07:06:01:01/HLA-C*07:06:01:02/HLA-C*07:06:01:03/HLA-C*07:06:01:04/HLA-C*07:06:01:07/HLA-C*07:06:01:08/HLA-C*07:06:01:09/HLA-C*07:06:01:10/HLA-C*07:06:01:11/HLA-C*07:06:01:12/HLA-C*07:06:01:06+HLA-C*08:02:01:02^HLA-G*01:01:09+HLA-G*01:04:01:01^HLA-E*01:01:01:01+HLA-E*01:03:01:11^HLA-F*01:01:02:10+HLA-F*01:02:01:02^HLA-DRB1*08:04:01:01/HLA-DRB1*08:04:01:02/HLA-DRB1*08:04:01:03/HLA-DRB1*08:04:01:04/HLA-DRB1*08:04:01:05+HLA-DRB1*13:02:01:01/HLA-DRB1*13:02:01:03/HLA-DRB1*13:02:01:04/HLA-DRB1*13:02:01:06/HLA-DRB1*13:02:01:10/HLA-DRB1*13:02:01:14^HLA-DRB3*03:01:01:01/HLA-DRB3*03:01:01:02/HLA-DRB3*03:01:01:03/HLA-DRB3*03:01:07/HLA-DRB3*03:37/HLA-DRB3*03:44/HLA-DRB3*03:49+HLA-DRB3*03:01:01:01/HLA-DRB3*03:01:01:02/HLA-DRB3*03:01:01:03/HLA-DRB3*03:01:07/HLA-DRB3*03:37/HLA-DRB3*03:44/HLA-DRB3*03:49^HLA-DQB1*03:19:01:01+HLA-DQB1*06:09:01:01^HLA-DQA1*01:02:01:04+HLA-DQA1*04:01:02:01/HLA-DQA1*04:01:02:02^HLA-DPB1*104:01:01:01/HLA-DPB1*104:01:01:02/HLA-DPB1*104:01:01:03/HLA-DPB1*104:01:01:04/HLA-DPB1*104:01:01:05/HLA-DPB1*104:01:01:06/HLA-DPB1*104:01:01:07/HLA-DPB1*104:01:01:08/HLA-DPB1*104:01:01:09/HLA-DPB1*104:01:01:10/HLA-DPB1*104:01:01:11/HLA-DPB1*104:01:01:12/HLA-DPB1*104:01:01:14+HLA-DPB1*584:01:02:01/HLA-DPB1*584:01:02:02^HLA-DPA1*01:03:01:02/HLA-DPA1*01:03:01:30/HLA-DPA1*01:03:01:34/HLA-DPA1*01:03:01:76/HLA-DPA1*01:03:01:78+HLA-DPA1*03:05:01:01Q/HLA-DPA1*03:05:01:02Q^HLA-H*02:08:01:01+HLA-H*02:11:01:01^MICA*004:01:01/MICA*004:01:09/MICA*004:01:10/MICA*004:01:11/MICA*004:01:02/MICA*004:01:04/MICA*004:01:05/MICA*004:01:03/MICA*004:01:06/MICA*004:01:07/MICA*004:01:08/MICA*004:01:12/MICA*004:01:13+MICA*008:04:01/MICA*008:04:04/MICA*008:04:06^MICB*002:01:18/MICB*002:01:19/MICB*002:01:20/MICB*002:01:23/MICB*002:01:26/MICB*002:01:27+MICB*005:02:05/MICB*005:02:19/MICB*005:02:27 |
| 22-03849-HLA-031722-AB-AlloSeq-EP | HLA-A*23:01:01:01+HLA-A*30:01:01:01^HLA-B*53:01:01:01+HLA-B*81:01:01:01^HLA-C*06:02:01:01/HLA-C*06:02:01:72/HLA-C*06:02:01:03/HLA-C*06:02:01:05/HLA-C*06:02:01:06/HLA-C*06:02:01:08/HLA-C*06:02:01:10/HLA-C*06:02:01:11/HLA-C*06:02:01:12/HLA-C*06:02:01:13/HLA-C*06:02:01:18/HLA-C*06:02:01:21/HLA-C*06:02:01:24/HLA-C*06:02:01:25/HLA-C*06:02:01:26/HLA-C*06:02:01:27/HLA-C*06:02:01:28/HLA-C*06:02:01:29/HLA-C*06:02:01:30/HLA-C*06:02:01:31/HLA-C*06:02:01:32/HLA-C*06:02:01:34/HLA-C*06:02:01:35/HLA-C*06:02:01:36/HLA-C*06:02:01:37/HLA-C*06:02:01:38/HLA-C*06:02:01:39/HLA-C*06:02:01:44/HLA-C*06:02:01:45/HLA-C*06:02:01:48/HLA-C*06:02:01:49/HLA-C*06:02:01:51/HLA-C*06:02:01:52/HLA-C*06:02:01:54/HLA-C*06:02:01:55/HLA-C*06:02:01:56/HLA-C*06:02:01:57/HLA-C*06:02:01:58/HLA-C*06:02:01:61/HLA-C*06:02:01:62/HLA-C*06:02:01:63/HLA-C*06:02:01:65/HLA-C*06:02:01:67/HLA-C*06:02:01:68/HLA-C*06:02:01:69/HLA-C*06:02:01:73/HLA-C*06:02:01:76/HLA-C*06:02:01:77/HLA-C*06:02:01:78/HLA-C*06:02:01:81/HLA-C*06:02:01:82/HLA-C*06:02:01:83/HLA-C*06:02:01:84/HLA-C*06:02:01:85/HLA-C*06:02:01:86/HLA-C*06:02:01:88/HLA-C*06:02:01:89/HLA-C*06:02:01:90/HLA-C*06:02:01:91/HLA-C*06:02:01:92/HLA-C*06:02:01:93/HLA-C*06:02:01:94/HLA-C*06:02:01:95/HLA-C*06:02:01:96/HLA-C*06:02:01:02/HLA-C*06:02:01:04/HLA-C*06:02:01:07/HLA-C*06:02:01:09/HLA-C*06:02:01:14/HLA-C*06:02:01:16/HLA-C*06:02:01:17/HLA-C*06:02:01:19/HLA-C*06:02:01:20/HLA-C*06:02:01:22/HLA-C*06:02:01:41/HLA-C*06:02:01:42/HLA-C*06:02:01:46/HLA-C*06:02:01:47/HLA-C*06:02:01:50/HLA-C*06:02:01:53/HLA-C*06:02:01:64/HLA-C*06:02:01:66/HLA-C*06:02:01:70/HLA-C*06:02:01:71/HLA-C*06:02:01:74/HLA-C*06:02:01:75/HLA-C*06:02:01:79/HLA-C*06:02:01:80/HLA-C*06:02:01:87/HLA-C*06:02:01:97/HLA-C*06:02:01:23/HLA-C*06:02:01:59/HLA-C*06:02:01:40/HLA-C*06:02:01:60/HLA-C*06:02:01:33/HLA-C*06:02:01:15/HLA-C*06:02:01:43+HLA-C*08:04:01:01/HLA-C*08:04:01:02/HLA-C*08:04:01:03^HLA-G*01:04:04:01+HLA-G*01:05:01N^HLA-E*01:01:01:01+HLA-E*01:01:01:01^HLA-F*01:01:01:09/HLA-F*01:01:01:10/HLA-F*01:01:01:11/HLA-F*01:01:01:12/HLA-F*01:01:01:27/HLA-F*01:01:01:29/HLA-F*01:01:01:42/HLA-F*01:01:01:43/HLA-F*01:01:01:07/HLA-F*01:01:01:28/HLA-F*01:01:01:36/HLA-F*01:01:01:05/HLA-F*01:01:01:03/HLA-F*01:01:01:04/HLA-F*01:01:01:16/HLA-F*01:01:01:14/HLA-F*01:01:01:18/HLA-F*01:01:01:06/HLA-F*01:01:01:17/HLA-F*01:01:01:23/HLA-F*01:01:01:24/HLA-F*01:01:01:13/HLA-F*01:01:01:22/HLA-F*01:01:01:39/HLA-F*01:01:01:01/HLA-F*01:01:01:08/HLA-F*01:01:01:02/HLA-F*01:01:01:15/HLA-F*01:01:01:19/HLA-F*01:01:01:20/HLA-F*01:01:01:21/HLA-F*01:01:01:25/HLA-F*01:01:01:26/HLA-F*01:01:01:30/HLA-F*01:01:01:31/HLA-F*01:01:01:32/HLA-F*01:01:01:33/HLA-F*01:01:01:34/HLA-F*01:01:01:35/HLA-F*01:01:01:37/HLA-F*01:01:01:38/HLA-F*01:01:01:40/HLA-F*01:01:01:41+HLA-F*01:03:01:03^HLA-DRB1*12:01:01:01/HLA-DRB1*12:01:01:02/HLA-DRB1*12:01:01:03/HLA-DRB1*12:01:01:04/HLA-DRB1*12:01:01:05/HLA-DRB1*12:01:01:06/HLA-DRB1*12:01:01:07/HLA-DRB1*12:01:01:08/HLA-DRB1*12:01:01:09/HLA-DRB1*12:01:01:10/HLA-DRB1*12:01:01:11/HLA-DRB1*12:01:01:12/HLA-DRB1*12:01:01:13/HLA-DRB1*12:01:01:14+HLA-DRB1*13:04^HLA-DRB3*01:01:02:04/HLA-DRB3*01:01:02:01/HLA-DRB3*01:01:02:02/HLA-DRB3*01:01:02:03/HLA-DRB3*01:01:02:05/HLA-DRB3*01:01:02:06/HLA-DRB3*01:86/HLA-DRB3*01:114/HLA-DRB3*01:119+HLA-DRB3*02:02:01:01/HLA-DRB3*02:02:01:12/HLA-DRB3*02:02:23/HLA-DRB3*02:02:26/HLA-DRB3*02:02:30/HLA-DRB3*02:02:31/HLA-DRB3*02:96/HLA-DRB3*02:144/HLA-DRB3*02:151/HLA-DRB3*02:161/HLA-DRB3*02:167/HLA-DRB3*02:168/HLA-DRB3*02:176/HLA-DRB3*02:178/HLA-DRB3*02:183/HLA-DRB3*02:185/HLA-DRB3*02:186/HLA-DRB3*02:191^HLA-DQB1*03:19:01:01+HLA-DQB1*05:01:01:02/HLA-DQB1*05:01:01:19^HLA-DQA1*01:05:01:01+HLA-DQA1*05:05:01:13/HLA-DQA1*05:05:01:16/HLA-DQA1*05:05:01:17/HLA-DQA1*05:05:01:19/HLA-DQA1*05:05:01:24/HLA-DQA1*05:05:01:27/HLA-DQA1*05:05:01:29/HLA-DQA1*05:05:01:30/HLA-DQA1*05:05:01:35/HLA-DQA1*05:05:01:36/HLA-DQA1*05:05:01:01/HLA-DQA1*05:05:01:02/HLA-DQA1*05:05:01:04/HLA-DQA1*05:05:01:07/HLA-DQA1*05:05:01:08/HLA-DQA1*05:05:01:09/HLA-DQA1*05:05:01:11/HLA-DQA1*05:05:01:21/HLA-DQA1*05:05:01:26/HLA-DQA1*05:05:01:28/HLA-DQA1*05:05:01:32/HLA-DQA1*05:05:01:39/HLA-DQA1*05:05:01:03/HLA-DQA1*05:05:01:05/HLA-DQA1*05:05:01:06/HLA-DQA1*05:05:01:10/HLA-DQA1*05:05:01:12/HLA-DQA1*05:05:01:14/HLA-DQA1*05:05:01:15/HLA-DQA1*05:05:01:18/HLA-DQA1*05:05:01:20/HLA-DQA1*05:05:01:22/HLA-DQA1*05:05:01:23/HLA-DQA1*05:05:01:25/HLA-DQA1*05:05:01:31/HLA-DQA1*05:05:01:33/HLA-DQA1*05:05:01:34/HLA-DQA1*05:05:01:37/HLA-DQA1*05:05:01:40/HLA-DQA1*05:05:01:38^HLA-DPB1*02:01:02:02/HLA-DPB1*02:01:02:08/HLA-DPB1*02:01:02:09/HLA-DPB1*02:01:02:16/HLA-DPB1*02:01:02:18/HLA-DPB1*02:01:02:19/HLA-DPB1*02:01:02:56/HLA-DPB1*02:01:02:84+HLA-DPB1*105:01:01:01/HLA-DPB1*105:01:01:02/HLA-DPB1*105:01:01:03/HLA-DPB1*105:01:01:04/HLA-DPB1*105:01:01:06/HLA-DPB1*105:01:01:09/HLA-DPB1*105:01:01:11/HLA-DPB1*105:01:01:12/HLA-DPB1*105:01:01:13/HLA-DPB1*105:01:01:15/HLA-DPB1*105:01:01:16/HLA-DPB1*105:01:01:18^HLA-DPA1*01:03:01:31+HLA-DPA1*03:01:01:09^HLA-H*02:05:01:03+HLA-H*02:05:01:03^MICA*008:04:03+MICA*018:01:01/MICA*018:01:03/MICA*018:01:08/MICA*018:01:12^MICB*002:01:01/MICB*002:01:02/MICB*002:01:03/MICB*002:01:04/MICB*002:01:05/MICB*002:01:06/MICB*002:01:07/MICB*002:01:09/MICB*002:01:10/MICB*002:01:15/MICB*002:01:16/MICB*002:01:21/MICB*002:01:22/MICB*002:01:11/MICB*002:01:12/MICB*002:01:13/MICB*002:01:14/MICB*002:01:28/MICB*002:01:18/MICB*002:01:19/MICB*002:01:20/MICB*002:01:23/MICB*002:01:26/MICB*002:01:27/MICB*002:01:08/MICB*002:01:17/MICB*002:01:24/MICB*002:01:25+MICB*005:02:05/MICB*005:02:19/MICB*005:02:27 |
| 22-03850-HLA-031722-AB-AlloSeq-EP | HLA-A*02:01:01:01+HLA-A*02:01:01:01^HLA-B*35:01:01:06+HLA-B*39:10:01^HLA-C*04:01:01:14+HLA-C*12:03:01:01^HLA-G*01:01:01:01+HLA-G*01:01:01:01^HLA-E*01:01:01:01+HLA-E*01:01:01:01^HLA-F*01:01:01:01+HLA-F*01:01:01:17^HLA-DRB1*07:01:01:01/HLA-DRB1*07:01:01:02/HLA-DRB1*07:01:01:04/HLA-DRB1*07:01:01:05/HLA-DRB1*07:01:01:06/HLA-DRB1*07:01:01:07/HLA-DRB1*07:01:01:08/HLA-DRB1*07:01:01:09/HLA-DRB1*07:01:01:10/HLA-DRB1*07:01:01:11/HLA-DRB1*07:01:01:12/HLA-DRB1*07:01:01:13/HLA-DRB1*07:01:01:14/HLA-DRB1*07:01:01:15/HLA-DRB1*07:01:01:16/HLA-DRB1*07:01:01:17/HLA-DRB1*07:01:01:18/HLA-DRB1*07:01:01:19/HLA-DRB1*07:01:01:20/HLA-DRB1*07:01:01:22/HLA-DRB1*07:01:01:23/HLA-DRB1*07:01:01:24/HLA-DRB1*07:01:01:25/HLA-DRB1*07:01:01:26/HLA-DRB1*07:01:01:27/HLA-DRB1*07:01:01:28/HLA-DRB1*07:01:01:29+HLA-DRB1*15:03:01:01/HLA-DRB1*15:03:01:02/HLA-DRB1*15:03:01:03/HLA-DRB1*15:03:01:04^HLA-DRB4*01:03:01:01/HLA-DRB4*01:03:01:03/HLA-DRB4*01:03:01:04/HLA-DRB4*01:03:01:10/HLA-DRB4*01:03:01:11/HLA-DRB4*01:03:01:14/HLA-DRB4*01:03:01:15/HLA-DRB4*01:03:01:16/HLA-DRB4*01:03:01:17/HLA-DRB4*01:03:01:18/HLA-DRB4*01:03:01:09/HLA-DRB4*01:03:01:05/HLA-DRB4*01:03:01:06/HLA-DRB4*01:03:01:07/HLA-DRB4*01:03:01:08/HLA-DRB4*01:03:01:12+HLA-DRB4*01:03:01:01/HLA-DRB4*01:03:01:03/HLA-DRB4*01:03:01:04/HLA-DRB4*01:03:01:10/HLA-DRB4*01:03:01:11/HLA-DRB4*01:03:01:14/HLA-DRB4*01:03:01:15/HLA-DRB4*01:03:01:16/HLA-DRB4*01:03:01:17/HLA-DRB4*01:03:01:18/HLA-DRB4*01:03:01:09/HLA-DRB4*01:03:01:05/HLA-DRB4*01:03:01:06/HLA-DRB4*01:03:01:07/HLA-DRB4*01:03:01:08/HLA-DRB4*01:03:01:12^HLA-DRB5*01:01:01:02/HLA-DRB5*01:01:01:04/HLA-DRB5*01:01:01:05/HLA-DRB5*01:01:01:06+HLA-DRB5*01:01:01:02/HLA-DRB5*01:01:01:04/HLA-DRB5*01:01:01:05/HLA-DRB5*01:01:01:06/HLA-DRB5*01:01:01:01/HLA-DRB5*01:01:01:03^HLA-DQB1*02:02:01:01/HLA-DQB1*02:02:01:05/HLA-DQB1*02:02:01:08/HLA-DQB1*02:02:01:16/HLA-DQB1*02:02:01:18+HLA-DQB1*06:02:01:01/HLA-DQB1*06:02:01:14/HLA-DQB1*06:02:01:15/HLA-DQB1*06:02:01:23/HLA-DQB1*06:02:01:25/HLA-DQB1*06:02:01:26/HLA-DQB1*06:02:01:02/HLA-DQB1*06:02:01:03/HLA-DQB1*06:02:01:05/HLA-DQB1*06:02:01:07/HLA-DQB1*06:02:01:08/HLA-DQB1*06:02:01:09/HLA-DQB1*06:02:01:10/HLA-DQB1*06:02:01:11/HLA-DQB1*06:02:01:12/HLA-DQB1*06:02:01:13/HLA-DQB1*06:02:01:16/HLA-DQB1*06:02:01:17/HLA-DQB1*06:02:01:21/HLA-DQB1*06:02:01:22/HLA-DQB1*06:02:01:28/HLA-DQB1*06:02:01:29/HLA-DQB1*06:02:01:30/HLA-DQB1*06:02:01:31/HLA-DQB1*06:02:01:34/HLA-DQB1*06:02:01:35/HLA-DQB1*06:02:01:36/HLA-DQB1*06:02:01:37/HLA-DQB1*06:02:01:04/HLA-DQB1*06:02:01:19/HLA-DQB1*06:02:01:20/HLA-DQB1*06:02:01:27/HLA-DQB1*06:02:01:33/HLA-DQB1*06:02:01:06/HLA-DQB1*06:02:01:24^HLA-DQA1*01:02:01:01/HLA-DQA1*01:02:01:02/HLA-DQA1*01:02:01:03/HLA-DQA1*01:02:01:05/HLA-DQA1*01:02:01:10/HLA-DQA1*01:02:01:11/HLA-DQA1*01:02:01:27/HLA-DQA1*01:02:01:30+HLA-DQA1*02:01:01:01/HLA-DQA1*02:01:01:02/HLA-DQA1*02:01:01:05^HLA-DPB1*01:01:01:01/HLA-DPB1*01:01:01:02/HLA-DPB1*01:01:01:03/HLA-DPB1*01:01:01:04/HLA-DPB1*01:01:01:09/HLA-DPB1*01:01:01:10/HLA-DPB1*01:01:01:12/HLA-DPB1*01:01:01:14/HLA-DPB1*01:01:01:15/HLA-DPB1*01:01:01:16/HLA-DPB1*01:01:01:17/HLA-DPB1*01:01:01:19/HLA-DPB1*01:01:01:20/HLA-DPB1*01:01:01:22/HLA-DPB1*01:01:01:24/HLA-DPB1*01:01:01:25+HLA-DPB1*11:01:01:01/HLA-DPB1*11:01:01:02/HLA-DPB1*11:01:01:03|HLA-DPB1*417:01:01+HLA-DPB1*654:01^HLA-DPA1*02:01:01:01/HLA-DPA1*02:01:01:06/HLA-DPA1*02:01:01:16+HLA-DPA1*02:02:02:09/HLA-DPA1*02:02:02:12^HLA-H*01:01:01:01+HLA-H*01:01:01:01^MICA*002:01:01/MICA*002:01:11/MICA*002:01:03/MICA*002:01:05/MICA*002:01:07/MICA*002:01:08/MICA*002:01:14/MICA*002:01:15/MICA*002:01:02/MICA*002:01:04/MICA*002:01:06/MICA*002:01:09/MICA*002:01:10/MICA*002:01:12/MICA*002:01:16/MICA*002:01:13Q+MICA*002:01:06^MICB*005:02:01/MICB*005:02:09/MICB*005:02:15/MICB*005:02:16/MICB*005:02:24/MICB*005:02:25/MICB*005:02:30/MICB*005:02:35/MICB*005:02:03/MICB*005:02:21/MICB*005:02:05/MICB*005:02:19/MICB*005:02:27/MICB*005:02:04/MICB*005:02:17/MICB*005:02:29/MICB*005:02:07/MICB*005:02:11/MICB*005:02:18/MICB*005:02:06/MICB*005:02:08/MICB*005:02:12/MICB*005:02:22/MICB*005:02:23/MICB*005:02:02/MICB*005:02:10/MICB*005:02:13/MICB*005:02:14/MICB*005:02:20/MICB*005:02:26/MICB*005:02:31/MICB*005:02:33/MICB*005:02:34/MICB*005:02:28/MICB*005:02:32+MICB*005:02:21/MICB*005:02:01/MICB*005:02:09/MICB*005:02:15/MICB*005:02:16/MICB*005:02:24/MICB*005:02:25/MICB*005:02:30/MICB*005:02:35/MICB*005:02:03/MICB*005:02:05/MICB*005:02:19/MICB*005:02:27/MICB*005:02:04/MICB*005:02:29/MICB*005:02:17/MICB*005:02:07/MICB*005:02:11/MICB*005:02:18/MICB*005:02:06/MICB*005:02:08/MICB*005:02:12/MICB*005:02:22/MICB*005:02:23/MICB*005:02:02/MICB*005:02:10/MICB*005:02:13/MICB*005:02:14/MICB*005:02:20/MICB*005:02:26/MICB*005:02:31/MICB*005:02:33/MICB*005:02:34/MICB*005:02:28/MICB*005:02:32 |
| 22-03851-HLA-031722-AB-AlloSeq-EP | HLA-A*02:01:01:01+HLA-A*23:01:01:01^HLA-B*45:01:01:03/HLA-B*45:01:01:14/HLA-B*45:01:01:01/HLA-B*45:01:01:04/HLA-B*45:01:01:05/HLA-B*45:01:01:06/HLA-B*45:01:01:07/HLA-B*45:01:01:08/HLA-B*45:01:01:10/HLA-B*45:01:01:11/HLA-B*45:01:01:12/HLA-B*45:01:01:13/HLA-B*45:01:01:09+HLA-B*58:113^HLA-C*07:18:01:01/HLA-C*07:18:01:02/HLA-C*07:18:01:03/HLA-C*07:18:01:04/HLA-C*07:18:01:05/HLA-C*07:18:01:06/HLA-C*07:18:01:07/HLA-C*07:18:01:08/HLA-C*07:18:01:09/HLA-C*07:18:01:10/HLA-C*07:18:01:11/HLA-C*07:18:01:12+HLA-C*16:01:01:01^HLA-G*01:01:01:01+HLA-G*01:04:04:01^HLA-E*01:01:01:01+HLA-E*01:03:02:01^HLA-F*01:01:01:01+HLA-F*01:03:01:03^HLA-DRB1*03:01:01:01/HLA-DRB1*03:01:01:02/HLA-DRB1*03:01:01:03/HLA-DRB1*03:01:01:04/HLA-DRB1*03:01:01:05/HLA-DRB1*03:01:01:06/HLA-DRB1*03:01:01:07/HLA-DRB1*03:01:01:08/HLA-DRB1*03:01:01:09/HLA-DRB1*03:01:01:10/HLA-DRB1*03:01:01:11/HLA-DRB1*03:01:01:12/HLA-DRB1*03:01:01:13/HLA-DRB1*03:01:01:14/HLA-DRB1*03:01:01:15/HLA-DRB1*03:01:01:16/HLA-DRB1*03:01:01:17/HLA-DRB1*03:01:01:18/HLA-DRB1*03:01:01:19/HLA-DRB1*03:01:01:20/HLA-DRB1*03:01:01:21/HLA-DRB1*03:01:01:22/HLA-DRB1*03:01:01:23/HLA-DRB1*03:01:01:24/HLA-DRB1*03:01:01:26/HLA-DRB1*03:01:01:27/HLA-DRB1*03:01:31/HLA-DRB1*03:147+HLA-DRB1*11:02:01:01/HLA-DRB1*11:02:01:02/HLA-DRB1*11:02:01:03/HLA-DRB1*11:02:01:04/HLA-DRB1*11:02:01:05^HLA-DRB3*02:02:01:01/HLA-DRB3*02:02:01:12/HLA-DRB3*02:02:23/HLA-DRB3*02:02:26/HLA-DRB3*02:02:30/HLA-DRB3*02:02:31/HLA-DRB3*02:96/HLA-DRB3*02:144/HLA-DRB3*02:151/HLA-DRB3*02:161/HLA-DRB3*02:167/HLA-DRB3*02:168/HLA-DRB3*02:176/HLA-DRB3*02:178/HLA-DRB3*02:183/HLA-DRB3*02:185/HLA-DRB3*02:186/HLA-DRB3*02:191/HLA-DRB3*02:02:01:15/HLA-DRB3*02:02:01:03/HLA-DRB3*02:02:01:10/HLA-DRB3*02:02:01:11/HLA-DRB3*02:02:01:13/HLA-DRB3*02:02:01:14/HLA-DRB3*02:02:01:02/HLA-DRB3*02:02:01:04/HLA-DRB3*02:02:01:05/HLA-DRB3*02:02:01:06/HLA-DRB3*02:02:01:07/HLA-DRB3*02:02:01:08/HLA-DRB3*02:02:01:09/HLA-DRB3*02:02:01:16/HLA-DRB3*02:02:01:17+HLA-DRB3*02:02:01:15^HLA-DQB1*02:01:01:01/HLA-DQB1*02:01:01:11/HLA-DQB1*02:01:01:12+HLA-DQB1*03:19:01:01^HLA-DQA1*05:01:01:01/HLA-DQA1*05:01:01:03+HLA-DQA1*05:05:01:13/HLA-DQA1*05:05:01:16/HLA-DQA1*05:05:01:17/HLA-DQA1*05:05:01:19/HLA-DQA1*05:05:01:24/HLA-DQA1*05:05:01:27/HLA-DQA1*05:05:01:29/HLA-DQA1*05:05:01:30/HLA-DQA1*05:05:01:35/HLA-DQA1*05:05:01:36^HLA-DPB1*01:01:01:01/HLA-DPB1*01:01:01:02/HLA-DPB1*01:01:01:03/HLA-DPB1*01:01:01:04/HLA-DPB1*01:01:01:09/HLA-DPB1*01:01:01:10/HLA-DPB1*01:01:01:12/HLA-DPB1*01:01:01:14/HLA-DPB1*01:01:01:15/HLA-DPB1*01:01:01:16/HLA-DPB1*01:01:01:17/HLA-DPB1*01:01:01:19/HLA-DPB1*01:01:01:20/HLA-DPB1*01:01:01:22/HLA-DPB1*01:01:01:24/HLA-DPB1*01:01:01:25+HLA-DPB1*02:01:02:03/HLA-DPB1*02:01:02:26/HLA-DPB1*02:01:02:28/HLA-DPB1*02:01:02:47/HLA-DPB1*02:01:02:50/HLA-DPB1*02:01:02:86^HLA-DPA1*01:03:01:01/HLA-DPA1*01:03:01:11/HLA-DPA1*01:03:01:19/HLA-DPA1*01:03:01:33/HLA-DPA1*01:03:01:35/HLA-DPA1*01:03:01:36/HLA-DPA1*01:03:01:45/HLA-DPA1*01:03:01:72/HLA-DPA1*01:03:01:77/HLA-DPA1*01:03:01:79/HLA-DPA1*01:03:01:81+HLA-DPA1*02:01:08:01/HLA-DPA1*02:01:08:03^HLA-H*01:01:01:05+HLA-H*01:01:01:05^MICA*002:01:03/MICA*002:01:07/MICA*002:01:08/MICA*002:01:14/MICA*002:01:15+MICA*015:01^MICB*002:01:28+MICB*008:01:01/MICB*008:01:02/MICB*008:01:03/MICB*008:01:04/MICB*008:01:05/MICB*008:01:06/MICB*008:01:07/MICB*008:01:08/MICB*008:01:09/MICB*008:01:10/MICB*008:01:11 |
| 22-03852-HLA-031722-AB-AlloSeq-EP | HLA-A*33:01:01:01+HLA-A*33:03:01:01/HLA-A*33:03:01:02/HLA-A*33:03:01:03/HLA-A*33:03:01:06/HLA-A*33:03:01:07/HLA-A*33:03:01:08/HLA-A*33:03:01:09/HLA-A*33:03:01:10/HLA-A*33:03:01:11/HLA-A*33:03:01:12/HLA-A*33:03:01:13/HLA-A*33:03:01:14/HLA-A*33:03:01:16/HLA-A*33:03:01:17/HLA-A*33:03:01:18/HLA-A*33:03:01:19/HLA-A*33:03:01:20/HLA-A*33:03:01:23/HLA-A*33:03:01:25/HLA-A*33:03:01:26/HLA-A*33:03:01:22/HLA-A*33:03:01:04/HLA-A*33:03:01:15^HLA-B*14:02:01:01+HLA-B*35:01:01:05^HLA-C*04:01:01:14+HLA-C*08:02:01:01^HLA-G*01:03:01:02+HLA-G*01:04:01:01^HLA-E*01:01:01:01+HLA-E*01:01:01:01^HLA-F*01:01:02:03/HLA-F*01:01:02:02/HLA-F*01:01:02:07/HLA-F*01:01:02:01/HLA-F*01:01:02:08/HLA-F*01:01:02:11/HLA-F*01:01:02:13/HLA-F*01:01:02:12/HLA-F*01:01:02:09/HLA-F*01:01:02:05/HLA-F*01:01:02:06/HLA-F*01:01:02:10/HLA-F*01:01:02:04/HLA-F*01:01:02:14+HLA-F*01:01:02:10|HLA-F*01:01:02:05/HLA-F*01:01:02:06/HLA-F*01:01:02:10/HLA-F*01:01:02:04/HLA-F*01:01:02:14/HLA-F*01:01:02:01/HLA-F*01:01:02:03/HLA-F*01:01:02:08/HLA-F*01:01:02:02/HLA-F*01:01:02:07/HLA-F*01:01:02:13/HLA-F*01:01:02:11/HLA-F*01:01:02:12/HLA-F*01:01:02:09+HLA-F*01:01:02:07^HLA-DRB1*03:02:01:01/HLA-DRB1*03:02:01:02+HLA-DRB1*11:02:01:01/HLA-DRB1*11:02:01:02/HLA-DRB1*11:02:01:03/HLA-DRB1*11:02:01:04/HLA-DRB1*11:02:01:05^HLA-DRB3*01:62:01:01/HLA-DRB3*01:62:01:02+HLA-DRB3*02:02:01:01/HLA-DRB3*02:02:01:12/HLA-DRB3*02:02:23/HLA-DRB3*02:02:26/HLA-DRB3*02:02:30/HLA-DRB3*02:02:31/HLA-DRB3*02:96/HLA-DRB3*02:144/HLA-DRB3*02:151/HLA-DRB3*02:161/HLA-DRB3*02:167/HLA-DRB3*02:168/HLA-DRB3*02:176/HLA-DRB3*02:178/HLA-DRB3*02:183/HLA-DRB3*02:185/HLA-DRB3*02:186/HLA-DRB3*02:191^HLA-DQB1*03:19:01:01+HLA-DQB1*04:02:01:08^HLA-DQA1*04:01:01:04/HLA-DQA1*04:01:01:05/HLA-DQA1*04:01:01:11+HLA-DQA1*05:05:01:13/HLA-DQA1*05:05:01:16/HLA-DQA1*05:05:01:17/HLA-DQA1*05:05:01:19/HLA-DQA1*05:05:01:24/HLA-DQA1*05:05:01:27/HLA-DQA1*05:05:01:29/HLA-DQA1*05:05:01:30/HLA-DQA1*05:05:01:35/HLA-DQA1*05:05:01:36^HLA-DPB1*01:01:01:01/HLA-DPB1*01:01:01:02/HLA-DPB1*01:01:01:03/HLA-DPB1*01:01:01:04/HLA-DPB1*01:01:01:09/HLA-DPB1*01:01:01:10/HLA-DPB1*01:01:01:12/HLA-DPB1*01:01:01:14/HLA-DPB1*01:01:01:15/HLA-DPB1*01:01:01:16/HLA-DPB1*01:01:01:17/HLA-DPB1*01:01:01:19/HLA-DPB1*01:01:01:20/HLA-DPB1*01:01:01:22/HLA-DPB1*01:01:01:24/HLA-DPB1*01:01:01:25+HLA-DPB1*01:01:02:01/HLA-DPB1*01:01:02:02/HLA-DPB1*01:01:02:03^HLA-DPA1*02:01:01:02+HLA-DPA1*02:02:02:12^HLA-H*02:08:01:01+HLA-H*02:12^MICA*011:01:01/MICA*011:01:06/MICA*011:01:08+MICA*110^MICB*005:02:05/MICB*005:02:19/MICB*005:02:27+MICB*008:01:01/MICB*008:01:02/MICB*008:01:03/MICB*008:01:04/MICB*008:01:05/MICB*008:01:06/MICB*008:01:07/MICB*008:01:08/MICB*008:01:09/MICB*008:01:10/MICB*008:01:11 |