Evidence map›Paper›PMID 23259685›Full record

ArticleGenome medicine2012

HLA typing from RNA-Seq sequence reads.

Sebastian Boegel, Martin Löwer, Michael Schäfer, Thomas Bukur, Jos de Graaf, Valesca Boisguérin, Ozlem Türeci, Mustafa Diken, John C Castle, Ugur Sahin

Abstract read
In one paragraph

Article in Genome medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 168 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
168citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

168 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
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108 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

10 authors.

Sebastian BoegelTRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University, Langenbeckstrasse 1, Building 708, 55131 Mainz, Germany ; University Medical Center of the Johannes Gutenberg University Mainz, III, Medical Department, Langenbeckstrasse 1, 55131 Mainz, Germany.
Martin LöwerTRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University, Langenbeckstrasse 1, Building 708, 55131 Mainz, Germany.
Michael SchäferTRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University, Langenbeckstrasse 1, Building 708, 55131 Mainz, Germany ; University Medical Center of the Johannes Gutenberg University Mainz, III, Medical Department, Langenbeckstrasse 1, 55131 Mainz, Germany.
Thomas BukurTRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University, Langenbeckstrasse 1, Building 708, 55131 Mainz, Germany.
Jos de GraafTRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University, Langenbeckstrasse 1, Building 708, 55131 Mainz, Germany.
Valesca BoisguérinTRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University, Langenbeckstrasse 1, Building 708, 55131 Mainz, Germany.
Ozlem TüreciGanymed Pharmaceuticals AG, Freiligrathstrasse 12, 55131 Mainz, Germany.
Mustafa DikenTRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University, Langenbeckstrasse 1, Building 708, 55131 Mainz, Germany.
John C CastleTRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University, Langenbeckstrasse 1, Building 708, 55131 Mainz, Germany.
Ugur SahinTRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University, Langenbeckstrasse 1, Building 708, 55131 Mainz, Germany ; University Medical Center of the Johannes Gutenberg University Mainz, III, Medical Department, Langenbeckstrasse 1, 55131 Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a method, seq2HLA, for obtaining an individual's human leukocyte antigen (HLA) class I and II type and expression using standard next generation sequencing RNA-Seq data. RNA-Seq reads are mapped against a reference database of HLA alleles, and HLA type, confidence score and locus-specific expression level are determined. We successfully applied seq2HLA to 50 individuals included in the HapMap project, yielding 100% specificity and 94% sensitivity at a P-value of 0.1 for two-digit HLA types. We determined HLA type and expression for previously un-typed Illumina Body Map tissues and a cohort of Korean patients with lung cancer. Because the algorithm uses standard RNA-Seq reads and requires no change to laboratory protocols, it can be used for both existing datasets and future studies, thus adding a new dimension for HLA typing and biomarker studies.

Identifiers

PMID23259685
PMCPMC4064318

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.