Evidence map›Paper›PMID 29247682›Full record

ArticleHuman immunology2018

Collection and storage of HLA NGS genotyping data for the 17th International HLA and Immunogenetics Workshop.

Chia-Jung Chang, Kazutoyo Osoegawa, Robert P Milius, Martin Maiers, Wenzhong Xiao, Marcelo Fernandez-Viňa, Steven J Mack

Abstract read
In one paragraph

Article in Human immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
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

7 authors.

Chia-Jung ChangStanford Genome Technology Center, Palo Alto, CA, USA.
Kazutoyo OsoegawaHistocompatibility, Immunogenetics & Disease Profiling Laboratory, Stanford Blood Center, Palo Alto, CA, USA.
Robert P MiliusBioinformatics Research, National Marrow Donor Program, Minneapolis, MN, USA.
Martin MaiersBioinformatics Research, National Marrow Donor Program, Minneapolis, MN, USA.
Wenzhong XiaoStanford Genome Technology Center, Palo Alto, CA, USA; Massachusetts General Hospital and Shriners Hospital for Children, Boston, MA, USA.
Marcelo Fernandez-ViňaHistocompatibility, Immunogenetics & Disease Profiling Laboratory, Stanford Blood Center, Palo Alto, CA, USA; Department of Pathology, Stanford University Medical Center, Stanford, CA, USA.
Steven J MackCenter for Genetics, Children's Hospital Oakland Research Institute, Oakland, CA, USA. Electronic address: sjmack@chori.org.

Funding

Integrated Exchange and Storage of Current- and Future-Generation Immunogenomic DataR01AI128775 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JILL Allison HOLLENBACH, STEVEN JOHN MACK · 2017 to 2026
$4.5M
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 R01 AI128775NIGMS NIH HHS R01 GM109030
6 · The paper itself

Abstract

For over 50 years, the International HLA and Immunogenetics Workshops (IHIW) have advanced the fields of histocompatibility and immunogenetics (H&I) via community sharing of technology, experience and reagents, and the establishment of ongoing collaborative projects. Held in the fall of 2017, the 17th IHIW focused on the application of next generation sequencing (NGS) technologies for clinical and research goals in the H&I fields. NGS technologies have the potential to allow dramatic insights and advances in these fields, but the scope and sheer quantity of data associated with NGS raise challenges for their analysis, collection, exchange and storage. The 17th IHIW adopted a centralized approach to these issues, and we developed the tools, services and systems to create an effective system for capturing and managing these NGS data. We worked with NGS platform and software developers to define a set of distinct but equivalent NGS typing reports that record NGS data in a uniform fashion. The 17th IHIW database applied our standards, tools and services to collect, validate and store those structured, multi-platform data in an automated fashion. We have created community resources to enable exploration of the vast store of curated sequence and allele-name data in the IPD-IMGT/HLA Database, with the goal of creating a long-term community resource that integrates these curated data with new NGS sequence and polymorphism data, for advanced analyses and applications.

Indexed as

Data CollectionImmunogeneticsInformation Storage and RetrievalSoftwareAutomation, LaboratoryCongresses as TopicDatabases, GeneticHigh-Throughput Nucleotide SequencingHistocompatibility TestingHLA AntigensHumansUnited StatesHLA Antigens17th IHIWDatabaseData managementHLAHMLInternational WorkshopNext generation sequencingXML

Identifiers

PMID29247682
PMCPMC5805642

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.