HATK
HATK performs fine-mapping analysis of human leukocyte antigen (HLA) genes by expanding HLA alleles into amino acid sequences using the IMGT/HLA database and supporting association testing, nomenclature conversion, and visualization to identify HLA alleles or amino acid positions linked to disease susceptibility.
Key Features:
- Data expansion and preparation: Leverages input from HLA typing, imputation, or inference to expand HLA allele information into detailed amino acid sequences.
- IMGT/HLA integration: Uses the IMGT/HLA database for allele-to-amino-acid mapping to ensure up-to-date sequence representation.
- Fine-mapping analysis: Prepares datasets suitable for fine-mapping and identifies HLA alleles or specific amino acid positions associated with disease susceptibility.
- Association tests: Implements a range of statistical tests to assess associations between HLA variants and diseases.
- Visualization tools: Produces visualizations to aid interpretation of complex HLA association results.
- Nomenclature conversion: Converts HLA nomenclature across formats to standardize allele representation.
Scientific Applications:
- Autoimmune disease research: Identify specific HLA alleles or amino acid positions that drive autoimmune disease susceptibility.
- Disease susceptibility fine-mapping: Pinpoint genetic variations in the HLA region associated with disease risk.
- Translational and clinical research: Support basic and potential clinical applications aimed at improving diagnosis and treatment strategies linked to HLA genetics.
Methodology:
Expands HLA alleles into amino acid sequences using the IMGT/HLA database from inputs including HLA typing, imputation, or inference; prepares datasets for fine-mapping; performs statistical association tests at allele and amino-acid levels; converts HLA nomenclature; and generates visualizations.
Topics
Details
- Tool Type:
- command-line tool
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Choi W, Luo Y, Raychaudhuri S, Han B. HATK: HLA analysis toolkit. Bioinformatics. 2020;37(3):416-418. doi:10.1093/bioinformatics/btaa684. PMID:32735319. PMCID:PMC8058762.