Evidence map›Paper›PMID 25143287›Full record

ArticleBioinformatics (Oxford, England)2014

OptiType: precision HLA typing from next-generation sequencing data.

András Szolek, Benjamin Schubert, Christopher Mohr, Marc Sturm, Magdalena Feldhahn, Oliver Kohlbacher

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04273061 (Canadian Atezolizumab Precision Targeting for Immunotherapy Intervention), which is not on this map. Cited by 495 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
495citing papers in PubMed, 3 pooled it
9.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04273061 phase2recruitingnot on this mapstarted 2020, after this paper: background citation

Canadian Atezolizumab Precision Targeting for Immunotherapy Intervention

TypeinterventionalSponsorBritish Columbia Cancer AgencyRan2020 to 2027Enrolled200ConditionsBreast Cancer, Lung Cancer, Gastrointestinal Cancer, Genitourinary CancerArmsAtezolizumab
3 · Its place in the literature

Who cites it

495 citing papers in PubMed, 3 syntheses or guidelines pooled it, 818 citations in OpenAlex.

  1. Pooled it
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  3. HLA-B*27 is associated with CNO in a European cohort.Pediatric rheumatology online journal · 2023
    Pooled it
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  13. Technical review of artificial intelligence in TCR-T therapy.Journal of the National Cancer Center · 2026
    Review
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435 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

András SzolekApplied Bioinformatics, Center for Bioinformatics, Quantitative Biology Center, and Department of Computer Science, University of Tübingen, Institute of Medical Genetics and Applied Genomics, University of Tübingen, and CeGaT GmbH, 72076 Tübingen, Germany.
Benjamin SchubertApplied Bioinformatics, Center for Bioinformatics, Quantitative Biology Center, and Department of Computer Science, University of Tübingen, Institute of Medical Genetics and Applied Genomics, University of Tübingen, and CeGaT GmbH, 72076 Tübingen, Germany Applied Bioinformatics, Center for Bioinformatics, Quantitative Biology Center, and Department of Computer Science, University of Tübingen, Institute of Medical Genetics and Applied Genomics, University of Tübingen, and CeGaT GmbH, 72076 Tübingen, Germany.
Christopher MohrApplied Bioinformatics, Center for Bioinformatics, Quantitative Biology Center, and Department of Computer Science, University of Tübingen, Institute of Medical Genetics and Applied Genomics, University of Tübingen, and CeGaT GmbH, 72076 Tübingen, Germany Applied Bioinformatics, Center for Bioinformatics, Quantitative Biology Center, and Department of Computer Science, University of Tübingen, Institute of Medical Genetics and Applied Genomics, University of Tübingen, and CeGaT GmbH, 72076 Tübingen, Germany.
Marc SturmApplied Bioinformatics, Center for Bioinformatics, Quantitative Biology Center, and Department of Computer Science, University of Tübingen, Institute of Medical Genetics and Applied Genomics, University of Tübingen, and CeGaT GmbH, 72076 Tübingen, Germany.
Magdalena FeldhahnApplied Bioinformatics, Center for Bioinformatics, Quantitative Biology Center, and Department of Computer Science, University of Tübingen, Institute of Medical Genetics and Applied Genomics, University of Tübingen, and CeGaT GmbH, 72076 Tübingen, Germany.
Oliver KohlbacherApplied Bioinformatics, Center for Bioinformatics, Quantitative Biology Center, and Department of Computer Science, University of Tübingen, Institute of Medical Genetics and Applied Genomics, University of Tübingen, and CeGaT GmbH, 72076 Tübingen, Germany.
University of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationThe human leukocyte antigen (HLA) gene cluster plays a crucial role in adaptive immunity and is thus relevant in many biomedical applications. While next-generation sequencing data are often available for a patient, deducing the HLA genotype is difficult because of substantial sequence similarity within the cluster and exceptionally high variability of the loci. Established approaches, therefore, rely on specific HLA enrichment and sequencing techniques, coming at an additional cost and extra turnaround time.

resultWe present OptiType, a novel HLA genotyping algorithm based on integer linear programming, capable of producing accurate predictions from NGS data not specifically enriched for the HLA cluster. We also present a comprehensive benchmark dataset consisting of RNA, exome and whole-genome sequencing data. OptiType significantly outperformed previously published in silico approaches with an overall accuracy of 97% enabling its use in a broad range of applications.

Indexed as

AlgorithmsExomeGenotyping TechniquesHigh-Throughput Nucleotide SequencingHistocompatibility TestingHLA AntigensHumansIntronsSequence Analysis, DNAHLA Antigens

Identifiers

PMID25143287
PMCPMC4441069
OpenAlexW2150056019

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.