Evidence map›Paper›PMID 22589303›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

High-throughput, high-fidelity HLA genotyping with deep sequencing.

Chunlin Wang, Sujatha Krishnakumar, Julie Wilhelmy, Farbod Babrzadeh, Lilit Stepanyan, Laura F Su, Douglas Levinson, Marcelo A Fernandez-Viña, Ronald W Davis, Mark M Davis and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers.

0numbers the graph read from it
0cells of the map it votes in
105citing 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

105 citing papers in PubMed.

  1. Trial
  2. Investigation of the Prevalence of theHealth science reports · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Advancements in HLA Typing Techniques and Their Impact on Transplantation Medicine.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2024
    Review
  11. Article
  12. Processing DNA Storage through Programmable Assembly in a Droplet-Based Fluidics System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

45 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

11 authors.

Chunlin WangStanford Genome Technology Center, Stanford University, Palo Alto, CA 94003, USA.
Sujatha Krishnakumar
Julie Wilhelmy
Farbod Babrzadeh
Lilit Stepanyan
Laura F Su
Douglas Levinson
Marcelo A Fernandez-Viña
Ronald W Davis
Mark M Davis
Michael Mindrinos

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI HOWE, ROGER THOMAS, JI, HANLEE P · 1990 to 2016
$120.9M
Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Inflammation and the Response to InjuryU54GM062119 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI TOMPKINS, RONALD GARY · 2001 to 2010
$78.6M
Vaccination and infection: indicators of immunological health and responsivenessU19AI090019 · NIAID · STANFORD UNIVERSITY · PI DAVIS, MARK MORRIS · 2010 to 2015
$17.3M
The Characteristics of Self-recognizing CD4 T Cells in Rheumatoid ArthritisK08AR059760 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI SU, LAURA · 2010 to 2014
$638k
Howard Hughes Medical InstituteNHGRI NIH HHS P01 HG000205NHGRI NIH HHS P01HG000205NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI090019NIAID NIH HHS U19AI090019NIAMS NIH HHS K08 AR059760NIAMS NIH HHS K08 AR059760-01NIGMS NIH HHS GM62119NIGMS NIH HHS U54 GM062119
6 · The paper itself

Abstract

Human leukocyte antigen (HLA) genes are the most polymorphic in the human genome. They play a pivotal role in the immune response and have been implicated in numerous human pathologies, especially autoimmunity and infectious diseases. Despite their importance, however, they are rarely characterized comprehensively because of the prohibitive cost of standard technologies and the technical challenges of accurately discriminating between these highly related genes and their many allelles. Here we demonstrate a high-resolution, and cost-effective methodology to type HLA genes by sequencing, which combines the advantage of long-range amplification, the power of high-throughput sequencing platforms, and a unique genotyping algorithm. We calibrated our method for HLA-A, -B, -C, and -DRB1 genes with both reference cell lines and clinical samples and identified several previously undescribed alleles with mismatches, insertions, and deletions. We have further demonstrated the utility of this method in a clinical setting by typing five clinical samples in an Illumina MiSeq instrument with a 5-d turnaround. Overall, this technology has the capacity to deliver low-cost, high-throughput, and accurate HLA typing by multiplexing thousands of samples in a single sequencing run, which will enable comprehensive disease-association studies with large cohorts. Furthermore, this approach can also be extended to include other polymorphic genes.

Indexed as

AllelesBase SequenceCell LineDNA PrimersGenotypeGenotyping TechniquesHigh-Throughput Nucleotide SequencingHLA-A AntigensHLA AntigensHLA-B AntigensHLA-C AntigensHLA-DRB1 ChainsHumansMolecular Sequence DataPolymerase Chain ReactionPolymorphism, GeneticDNA PrimersHLA-A AntigensHLA AntigensHLA-B AntigensHLA-C AntigensHLA-DRB1 Chains

Identifiers

PMID22589303
PMCPMC3365218

What OpenQuestion holds

Textmetadata
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.