Evidence map›Paper›PMID 26247828›Full record

ArticleHuman immunology2015

Concordance of next generation sequence-based and sequence specific oligonucleotide probe-based HLA-DRB1 genotyping.

Julie A Lane, Jameel R Johnson, Janelle A Noble

Open access · greenAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

3 authors at 1 institution in 1 country.

Julie A LaneChildren's Hospital Oakland Research Institute, Oakland, CA, United States. Electronic address: jlane@chori.org.
Jameel R JohnsonChildren's Hospital Oakland Research Institute, Oakland, CA, United States. Electronic address: jameel.johnson@bcm.edu.
Janelle A NobleChildren's Hospital Oakland Research Institute, Oakland, CA, United States. Electronic address: jnoble@chori.org.
Baylor College of Medicine · US

Funding

The genetic basis of type 1 diabetes autoimmunity in African AmericansR01DK061722 · NIDDK · CHILDREN'S HOSPITAL &RES CTR AT OAKLAND · PI NOBLE, JANELLE A · 2003 to 2013
$3.5M
The genetic basis of type 1 diabetes autoimmunity in African AmericansR56DK061722 · NIDDK · CHILDREN'S HOSPITAL & RES CTR AT OAKLAND · PI NOBLE, JANELLE A · 2008 to 2008
$311k
NIDDK NIH HHS DK61722NIDDK NIH HHS R01 DK061722NIDDK NIH HHS R56 DK061722
6 · The paper itself

Abstract

Next generation sequencing (NGS) of clonally amplified DNA, using Roche 454 technology, was used to genotype HLA-DRB1, DRB3, DRB4, and DRB5 loci (exon 2 only) from a set of 993 samples from newborns with maternally-reported African American ancestry. DRB1 exon 2 was genotyped previously on the same sample set using sequence-specific oligonucleotide probe (SSOP) technology. Comparison of the genotype calls from both methods indicated concordance of 92.3%. Some discordance was expected due to the higher resolution of NGS data, compared to SSOP data. This resulted from selection of the incorrect allele from the ambiguity string produced by SSOP genotyping. Of 76 discordant genotypes, only three were due to resolution of ambiguity with the NGS method. The low percent of changes due to the increased resolution of the NGS method instills confidence in the overall value of previous data genotyped with moderate resolution methods, i.e., the vast majority of alleles present in a population are those that are detectable at moderate resolution. The remaining 73 discordant genotypes resulted from preventable errors in sample handling, data interpretation, and data entry. These results underscore the potential for error that can result from factors such as low quality genomic DNA, manual data entry, and interpretation of marginal genotyping results. Optimization of genomic DNA quality, automation of genotyping steps wherever possible, and use of the highest resolution technology available can lead to dramatic improvements in HLA genotype data quality. NGS-based methodology generated data of superior quality and accuracy compared to the SSOP system.

Indexed as

Genotyping TechniquesHistocompatibility TestingAllelesBase SequenceGene FrequencyGenotypeHigh-Throughput Nucleotide SequencingHLA-DRB1 ChainsHumansMolecular Sequence DataOligonucleotide ProbesReproducibility of ResultsSequence AlignmentSequence Analysis, DNAHLA-DRB1 ChainsOligonucleotide ProbesDRB genotypingHLANext-generation sequencing

Identifiers

PMID26247828
PMCPMC4674296
OpenAlexW1418489823

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.