Evidence map›Paper›PMID 36162758›Full record

ArticleThe Journal of molecular diagnostics : JMD2022

Optimizing Insertion and Deletion Detection Using Next-Generation Sequencing in the Clinical Laboratory.

Kelly E Craven, Catherine G Fischer, LiQun Jiang, Aparna Pallavajjala, Ming-Tseh Lin, James R Eshleman

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2022. 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
2.0field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

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  12. Pitfalls in 2HG Detection With TE-Optimized MRS at 3T.Journal of neuroimaging : official journal of the American Society of Neuroimaging
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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

6 authors at 1 institution in 1 country.

Kelly E CravenDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Catherine G FischerDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland; Division of Cancer Prevention, National Cancer Institute, Rockville, Maryland.
LiQun JiangDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Aparna PallavajjalaDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Ming-Tseh LinDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
James R EshlemanDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland; The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, Maryland. Electronic address: jeshlem1@jhmi.edu.
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of insertions and deletions (InDels) by short-read next-generation sequencing (NGS) technology can be challenging because of frequent misaligned reads. A systematic analysis of short InDels (1 to 30 bases) and fms-related receptor tyrosine kinase 3 (FLT3) internal tandem duplications (ITDs; 6 to 183 bases) from 46 clinical cases of solid or hematologic malignancy processed with a clinical NGS assay identified misaligned reads in every case, ranging from 3% to 100% of reads with the InDel showing mismapped bases. Mismaps also increased with InDel size. As a consequence, the clinical NGS bioinformatics pipeline undercalled the variant allele frequency by 1% to 84%, incorrectly called simultaneous single-base substitutions along with InDels, or did not report an FLT3 ITD that had been detected by capillary electrophoresis. To improve the ability of the pipeline to better detect and quantify InDels, we utilized a software program called Assembly-Based ReAligner (ABRA2) to more accurately remap reads. ABRA2 was able to correct 41% to 100% of the reads with mismapped bases and led to absolute increases in the variant allele frequency from 1% to 61% along with correction of all of the single-base substitutions except for two cases. ABRA2 could also detect multiple FLT3 ITD clones except for one 183-base ITD. Our analysis has found that ABRA2 performs well on short InDels as well as FLT3 ITDs that are <100 bases.

Indexed as

INDEL MutationLeukemia, Myeloid, AcuteComputational Biologyfms-Like Tyrosine Kinase 3High-Throughput Nucleotide SequencingHumansSoftwarefms-Like Tyrosine Kinase 3

Identifiers

PMID36162758
PMCPMC9808503
OpenAlexW4296875604

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.