Articles
2021
HLA-E diversity unfolded: Identification and characterization of 170 novel HLA-E alleles
Paech C, Albrecht V, Putke K,Schoefl G, Schoene B, Schmidt AH, Lange V, Klussmeier A
HLA, 397(5):389-398 [ DOI ]
2020
High-throughput MICA/B genotyping of over two million samples: workflow and allele frequencies
Klussmeier A, Massalski C, Putke K, Schäfer G, Sauter J, Schefzyk D, Pruschke J, Hofmann J, Fürst D, Carapito R, Bahram S, Schmidt AH, Lange V
Frontiers in Immunology, 314 [ DOI ]
Non-invasive determination of CMV serostatus from dried buccal swab samples: assay development, validation and application to 1.2 million samples
Behrens GA, Brehm M, Groß R, Heider J, Sauter J, Baier DM, Wehde T, Castriciano S, Schmidt AH, Lange V
The Journal of Infectious Diseases, 0022-1899 [ DOI ]
2019
Bioinformatics Strategies, Challenges, and Opportunities for Next Generation Sequencing-Based HLA Genotyping
Klasberg S, Surendranath V, Lange V, Schöfl G
Transfus Med Hemother, 46:312-325 [ DOI ]
TypeLoader2: Automated submission of novel HLA and killer-cell immunoglobulin-like receptor alleles in full length
Schöne B, Fuhrmann M, Surendranath V, Schmidt AH, Lange V, Schöfl G
HLA, 2:195-202 [ DOI ]
Multiple knockout of classical HLA class II β-chains by CRISPR/Cas9 genome editing driven by a single guide RNA
Crivello P, Ahci M, Maaßen F, Wossidlo N, Arrieta-Bolaños E, Heinold A, Lange V, Falkenburg JHF, Horn PA, Fleischhauer K, Heinrichs S
Journal of Immunology, 6:1895-1903 [ DOI ]
KIR genotyping data of more than 3 million individuals are available for global unrelated stem cell donor searches (comment to: Weisdorf D, Cooley S, Wang T, et al. KIR donor selection: feasibility in identifying better donors. Biol Blood Marrow Transplant. 2018; doi: 10.1016/j.bbmt.2018.08.022.).
Schmidt AH, Lange V, Hofmann JA, Schetelig J, Pingel J
Biol. Blood Marrow Transplant., 2:e39-e40 [ DOI ]
High-resolution characterization of 12 classical and non-classical HLA loci in Southern Brazilians
de Sousa Castro M, Issler HC, Gelmini G, de Miranda BLM, Calonga Solís V, Schmidt AH, Stein A, da Graça Bicalho M, Petzl-Erler ML, Augusto, DG
HLA, Feb 10 2019 [ DOI ]
Patterns of non-ARD variation in more than 300 full-length HLA-DPB1 alleles
Klasberg S, Lang K, Günther M, Schober G, Massalski C, Schmidt AH, Lange V, Schöfl G
Human Immunology, 1:44-52 [ DOI ]
2018
Allele-level KIR genotyping of more than a million samples: workflow, algorithm, and observations
Wagner I, Schefzyk D, Pruschke J, Schöfl G, Schöne B, Gruber N, Lang K, Hofmann J, Gnahm C, Heyn B, Marin W, Dandekar R, Hollenbach JA, Schetelig J, Pingel J, Norman PJ, Sauter J, Schmidt AH, Lange V
Front Immunol, 9:2843 [ DOI ]
Very low error rates of NGS-based HLA typing at stem cell donor recruitment question the need for a standard confirmatory typing step before donor work-up
Baier DM, Hofmann JA, Fischer H, Rall G, Stolze J, Ruhner K, Lange V, Sauter J, Schmidt AH
Bone Marrow Transplantation, 2018-11-30 [ DOI ]
Full-Length HLA Class I Genotyping with the MinION Nanopore Sequencer
Lang K, Surendranath V, Quenzel P, Schöfl G, Schmidt AH, Lange V
Methods in Molecular Biology, 155-162 [ DOI ]
Predicting an HLA-DPB1 expression marker based on standard DPB1 genotyping: Linkage analysis of over 32,000 samples
Schöne B, Bergmann S, Lang K, Wagner I, Schmidt AH, Petersdorf EW, Lange V
Human Immunology, 79:20-27 [ DOI ]
2017
Frequencies of gene variant CCR5-Δ32 in 87 countries based on next-generation sequencing of 1.3 million individuals sampled from 3 national DKMS donor centers
Solloch UV, Lang K, Lange V, Böhme I, Schmidt AH, Sauter J
Human Immunology, 11:710-717 [ DOI ]
Dual redundant sequencing strategy: Full-length gene characterisation of 1056 novel and confirmatory HLA alleles
Albrecht V, Zweiniger C, Surendranath V, Lang K, Schöfl G, Dahl A, Winkler S, Lange V, Böhme I, Schmidt AH
HLA, 90:79-87 [ DOI ]
2.7 million samples genotyped for HLA by next generation sequencing: lessons learned
Schöfl G, Lang K, Quenzel P, Böhme I, Sauter J, Hofmann JA, Pingel J, Schmidt AH, Lange V
BMC Genomics, 18:161 [ DOI ]
TypeLoader: A fast and efficient automated workflow for the annotation and submission of novel full-length HLA alleles
Surendranath V, Albrecht V, Hayhurst JD, Schöne B, Robinson J, Marsh SGE, Schmidt AH, Lange V
HLA, 90:25-31 [ DOI ]
2016
ABO allele-level frequency estimation based on population-scale genotyping by next generation sequencing
Lang K, Wagner I, Schöne B, Schöfl G, Birkner K, Hofmann JA, Sauter J, Pingel J, Böhme I, Schmidt AH, Lange V
BMC Genomics, 17:374 [ DOI ]
Prediction of spurious HLA class II typing results using probabilistic classification
Schöfl G, Schmidt AH, Lange V
Human Immunology, 77:264-272 [ DOI ]
2014
High density FTA plates serve as efficient long-term sample storage for HLA genotyping
Lange V, Arndt K, Schwarzelt C, Boehme I, Giani AS, Schmidt AH, Ehninger G, Wassmuth R
Tissue Antigens, 83:101-105 [ DOI ]
Cost-efficient high-throughput HLA typing by MiSeq amplicon sequencing
Lange V, Böhme I, Hofmann J, Lang K, Sauter J, Schöne B, Paul P, Albrecht V, Andreas JM, Baier DM, Nething J, Ehninger U, Schwarzelt C, Pingel J, Ehninger G, Schmidt AH
BMC Genomics, 15:63 [ DOI ]
2013
High-resolution HLA haplotype frequencies of stem cell donors in Germany with foreign parentage: How can they be used to improve unrelated donor searches?
Pingel J, Solloch UV, Hofmann JA, Lange V, Ehninger G, Schmidt AH
Human Immunology, 74:330-340 [ DOI ]
Regional HLA Differences in Poland and Their Effect on Stem Cell Donor Registry Planning
Schmidt AH, Solloch UV, Pingel J, Sauter J, Böhme I, Cereb N, Dubicka K, Schumacher S, Wachowiak J, Ehninger G
PLoS ONE, 8:e73835 [ DOI ]
2011
A multi-site study using high-resolution HLA genotyping by next generation sequencing
Holcomb CL, Höglund B, Anderson MW, Blake LA, Böhme I, Egholm M, Ferriola D, Gabriel C, Gelber SE, Goodridge D, Hawbecker S, Klein R, Ladner M, Lind C, Monos D, Pando MJ, Pröll J, Sayer DC, Schmitz-Agheguian G, Simen BB, Thiele B, Trachtenberg EA, Tyan DB, Wassmuth R, White S, Erlich HA
Tissue Antigens, 77:206-217 [ DOI ]
High-resolution human leukocyte antigen allele and haplotype frequencies of the Polish population based on 20,653 stem cell donors
Schmidt AH, Solloch UV, Pingel J, Baier D, Böhme I, Dubicka K, Schumacher S, Rutt C, Skotnicki AB, Wachowiak J, Ehninger G
Human Immunology, 72:558-565 [ DOI ]
Poster
Please download your free copy as PDF.
EFI-Poster 2021
- NGS based genotyping of DRB3/4/5, DQA1, and DPA1: the algorithmic aspect
- High-Throughput Genotyping of HLA-DRB3, -DRB4, -DRB5, -DQA1, and -DPA1 by NGS
- The Wipe Test Revolution: Introduction of a Sequencing Based Wipe Test in a High-Throughput Genotyping Laboratory
- Complementing the IPD-IMGT/HLA database by Complete Genomic Characterization of Non-Rare HLA-DRB1 Alleles
- Estimation of high-resolution 11-locus haplotype
EFI-Poster 2019
- Determining the CMV-status from buccal swab samples
- Full-Length Characterization of HLA-DRB1 Alleles
- Full-Length KIR Gene Characterization of Frequent Novel KIR Alleles
- NGS workflow delivering scalable high-resolution HLA genotyping
- Typing in the third generation
- Typeloader2: Automated submission of full-length HLA, KIR and MIC
- nanotyper: an HLA genotyping algorithm
- Workflow For Characterising Novel HLA And KIR Alleles In Full Length
EFI-Poster 2018
- Optimal donor profile
- Accuracy of NGS based KIR genotyping
- High-throughput MICA and MICB genotyping
- Long-range whole-gene amplification of novel KIR alleles
- TYPELOADER submission of novel alleles in full length
ASHI-Poster 2018
- Full-Length Sequences of KIR2DL1
- Allele-level genotyping of KIR2DL4
- TYPELOADER 2: Automated full-length submission of novel alleles
Software
Developed by DKMS Life Science Lab as part of our scientific projects.
TypeLoader2
TypeLoader is an automated workflow to aid in the curation and submission of new alleles identified from genotyping immunogenetics samples using second and third generation sequencing technologies to the IMGT/HLA repository.
HLAsim - Simulating HLA locus allelic dropout
Simulation code and data associated with the article
Prediction of spurious HLA class II typing results using probabilistic classification (2016)
G Schoefl , AH Schmidt, V Lange
Human Immunology, doi:10.1016/j.humimm.2016.01.012