Evidence map›Paper›PMID 26319908›Full record

ArticleHuman immunology2015

Histoimmunogenetics Markup Language 1.0: Reporting next generation sequencing-based HLA and KIR genotyping.

Robert P Milius, Michael Heuer, Daniel Valiga, Kathryn J Doroschak, Caleb J Kennedy, Yung-Tsi Bolon, Joel Schneider, Jane Pollack, Hwa Ran Kim, Nezih Cereb and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Human immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 17% 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.

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

20 citing papers in PubMed, 34 citations in OpenAlex.

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  13. Bioinformatics Strategies, Challenges, and Opportunities for Next Generation Sequencing-Based HLA Genotyping.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2019
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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

13 authors at 3 institutions in 1 country.

Robert P MiliusNational Marrow Donor Program, MN, USA. Electronic address: bmilius@nmdp.org.
Michael HeuerNational Marrow Donor Program, MN, USA.
Daniel ValigaNational Marrow Donor Program, MN, USA.
Kathryn J DoroschakNational Marrow Donor Program, MN, USA.
Caleb J KennedyNational Marrow Donor Program, MN, USA.
Yung-Tsi BolonNational Marrow Donor Program, MN, USA.
Joel SchneiderNational Marrow Donor Program, MN, USA.
Jane PollackNational Marrow Donor Program, MN, USA.
Hwa Ran KimHistoGenetics LLC, USA.
Nezih CerebHistoGenetics LLC, USA.
Jill A HollenbachUniversity of California - San Francisco, USA.
Steven J MackChildren's Hospital & Research Center Oakland, Oakland, CA, USA.
Martin MaiersNational Marrow Donor Program, MN, USA.
National Marrow Donor Program · USHistoGenetics (United States) · USUniversity of California, San Francisco · US

Funding

The Role of HLA and KIR in Rheumatoid Arthritis and Crohn's DiseaseU01AI067068 · NIAID · STANFORD UNIVERSITY · PI ERLICH, HENRY A, TRACHTENBERG, ELIZABETH A · 2005 to 2014
$10.9M
Integrated Exchange & Storage of Current and Future-Generation Immunogenomic DataR01GM109030 · NIGMS · CHILDREN'S HOSPITAL & RES CTR AT OAKLAND · PI HOLLENBACH, JILL ALLISON, MACK, STEVEN JOHN · 2014 to 2016
$919k
NIAID NIH HHS U01 AI067068NIAID NIH HHS U01AI067068NIGMS NIH HHS R01 GM109030NIGMS NIH HHS R01GM109030
6 · The paper itself

Abstract

We present an electronic format for exchanging data for HLA and KIR genotyping with extensions for next-generation sequencing (NGS). This format addresses NGS data exchange by refining the Histoimmunogenetics Markup Language (HML) to conform to the proposed Minimum Information for Reporting Immunogenomic NGS Genotyping (MIRING) reporting guidelines (miring.immunogenomics.org). Our refinements of HML include two major additions. First, NGS is supported by new XML structures to capture additional NGS data and metadata required to produce a genotyping result, including analysis-dependent (dynamic) and method-dependent (static) components. A full genotype, consensus sequence, and the surrounding metadata are included directly, while the raw sequence reads and platform documentation are externally referenced. Second, genotype ambiguity is fully represented by integrating Genotype List Strings, which use a hierarchical set of delimiters to represent allele and genotype ambiguity in a complete and accurate fashion. HML also continues to enable the transmission of legacy methods (e.g. site-specific oligonucleotide, sequence-specific priming, and Sequence Based Typing (SBT)), adding features such as allowing multiple group-specific sequencing primers, and fully leveraging techniques that combine multiple methods to obtain a single result, such as SBT integrated with NGS.

Indexed as

Genotyping TechniquesHigh-Throughput Nucleotide SequencingHistocompatibility TestingSoftwareAllelesComputational BiologyDatabase Management SystemsGenotypeHLA AntigensHumansPotassium Channels, Inwardly RectifyingReproducibility of ResultsResearch ReportSequence Analysis, DNAHLA AntigensPotassium Channels, Inwardly RectifyingData standardsGenotypingHLAHMLKIRMIRINGNGS

Identifiers

PMID26319908
PMCPMC4674307
OpenAlexW2276837950

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.