HLA-MA: Simple yet powerful matching of samples using HLA typing results
Abstract
SummaryWe propose the simple method HLA-MA for consistency checking in pipelines operating on human HTS data. The method is based on the HLA typing result of the state-of-the-art method Opti-Type. Provided that there is sufficient coverage of the HLA loci, comparing HLA types allows for simple, fast, and robust matching of samples from whole genome, exome, and RNA-seq data. This approach is reliable for sample re-identification even for samples with high mutational loads, e.g., caused by microsatellite instability or POLE1 defects.\n\nAvailability and ImplementationThe software is implemented In Python 3 and freely available under the MIT license at https://github.com/bihealth/hlama and via Bioconda.\n\nContactdieter.beule@bihealth.de
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- arcasHLA: high resolution HLA typing from RNA seq
Rose Orenbuch, Ioan Filip, … Raúl Rabadán·BioinformaticsPeer-reviewed·Jun 3, 2019
- HLA*PRG:LA - HLA typing from linearly projected graph alignments
Alexander Dilthey, Alexander J. Mentzer, … Adam M. Phillippy·BioinformaticsPeer-reviewed·Apr 2, 2019
- read_haps: using read haplotypes to detect same species contamination in DNA sequences.
Hannes P. Eggertsson, Bjarni V. Halldórsson·BioinformaticsPeer-reviewed·Oct 22, 2020
- GRIMM: GRaph IMputation and Matching for HLA Genotypes
Martin J. Maiers, Michael S. Halagan, … Yoram Louzoun·BioinformaticsPeer-reviewed·Jan 23, 2019
- SOAPTyping: an open-source and cross-platform tool for Sanger sequence-based typing for HLA class I and II alleles
Yong Zhang, Yongsheng Chen, … Lin Fang·BMC BioinformaticsPeer-reviewed·Jul 8, 2020
- FuFiHLA: A tool for Full-Field HLA typing from long read data
Jingqing Hu, Qian Qin, … Ying Zhou·BioinformaticsPeer-reviewed·May 1, 2026