Immunotation

immunotation

Workflows

Standard Workflow

library(immunotation)

# 1. Retrieve valid organisms and chain lookup table for humans
organisms <- get_valid_organisms()
human_chains <- retrieve_chain_lookup_table(organism = "human")

# 2. Map HLA alleles to serotypes and NetMHCpan inputs
allele_list <- c("A*01:01:01", "A*02:01:01", "B*39:01:01")
serotypes <- get_serotypes(allele_list, mhc_type = "MHC-I")
mhcpan_input <- get_mhcpan_input(allele_list, mhc_class = "MHC-I")

# 3. Query allele frequencies in global populations
freq_data <- query_allele_frequencies(
  hla_selection = "A*02:01", 
  hla_sample_size_pattern = "bigger_than", 
  hla_sample_size = 10000, 
  standard = "g"
)

Input/Output Note: Inputs are HLA allele lists and population query parameters; outputs are serotypes, tool-compatible HLA strings, and population frequency tables.

When to Use

• Converting HLA allele names to serotypes using get_serotypes.
• Formatting HLA alleles for immunoinformatics tools like NetMHCpan using get_mhcpan_input.
• Mapping HLA alleles to G groups (get_G_group) or P groups (get_P_group).
• Querying HLA allele and haplotype frequencies from the Allele Frequency Net Database (AFND) using query_allele_frequencies and query_haplotype_frequencies.
• Visualizing global allele frequency distributions on a world map using plot_allele_frequency.

When NOT to Use

• For predicting peptide-MHC binding directly (use tools like NetMHCpan; immunotation only formats the inputs).
• For non-MHC/HLA gene annotations.

Data Requirements

• Character vectors of HLA allele names in standard WHO nomenclature (e.g., "A*01:01:01").

Key Parameters

• organism: Species name (e.g., "human", "mouse") used in retrieve_chain_lookup_table.
• mhc_type: MHC class type ("MHC-I" or "MHC-II") used in get_serotypes.
• mhc_class: MHC class ("MHC-I" or "MHC-II") used in get_mhcpan_input.
• hla_selection: HLA allele or allele group to query.
• hla_sample_size_pattern: Pattern for filtering sample size (e.g., "bigger_than").
• hla_sample_size: Minimum sample size for population queries.
• standard: AFND data standard quality filter (e.g., "g" for Gold, "s" for Silver, "b" for Bronze).

Best Practices

• Use get_valid_organisms to check if a species is supported before building a lookup table.
• Convert alleles to G or P groups using get_G_group or get_P_group to resolve ambiguous HLA typings.
• Filter AFND queries using standard = "g" (Gold standard) to ensure high-quality allele frequency data.

Common Pitfalls

• Querying MHC-II serotypes with incomplete alpha/beta chain annotations, which returns NA. Ensure both chains are annotated in the MHC restriction ontology (MRO).

Alternatives

• HLAtools: For general HLA data manipulation and analysis.

Citations

• Robinson J, Barker DJ, Georgiou X et al. IPD-IMGT/HLA Database. Nucleic Acids Research (2020)
• Gonzalez-Galarza FF, McCabe A, Santos EJ at al. Allele frequency net database (AFND) 2020 update. Nucleic Acids Research (2020)

References

• Homepage: bioconductor.org/packages/immunotation
• Vignette: https://bioconductor.org/packages/release/bioc/vignettes/immunotation/inst/doc/immunotation.html