Evidence map›Paper›PMID 27090146›Full record

ArticleScientific reports2016

Orthogonal NGS for High Throughput Clinical Diagnostics.

Niru Chennagiri, Eric J White, Alexander Frieden, Edgardo Lopez, Daniel S Lieber, Anastasia Nikiforov, Tristen Ross, Rebecca Batorsky, Sherry Hansen, Va Lip and 8 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Use of liquid biopsy in monitoring therapeutic resistance inExploration of targeted anti-tumor therapy · 2020
    Review
  5. Observational
  6. Review
  7. Pharmacogenetic and pharmacogenomic discovery strategies.Cancer drug resistance (Alhambra, Calif.) · 2019
    Review
  8. 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

18 authors at 2 institutions in 1 country.

Niru ChennagiriClaritas Genomics, Cambridge MA, USA.
Eric J WhiteClaritas Genomics, Cambridge MA, USA.
Alexander FriedenClaritas Genomics, Cambridge MA, USA.
Edgardo LopezClaritas Genomics, Cambridge MA, USA.
Daniel S LieberClaritas Genomics, Cambridge MA, USA.
Anastasia NikiforovClaritas Genomics, Cambridge MA, USA.
Tristen RossClaritas Genomics, Cambridge MA, USA.
Rebecca BatorskyClaritas Genomics, Cambridge MA, USA.
Sherry HansenClaritas Genomics, Cambridge MA, USA.
Va LipClaritas Genomics, Cambridge MA, USA.
Lovelace J LuquetteHarvard Medical School, Boston MA, USA.
Evan MauceliClaritas Genomics, Cambridge MA, USA.
David MarguliesClaritas Genomics, Cambridge MA, USA.
Patrice M MilosClaritas Genomics, Cambridge MA, USA.
Nichole NapolitanoClaritas Genomics, Cambridge MA, USA.
Marcia M NizzariClaritas Genomics, Cambridge MA, USA.
Timothy YuClaritas Genomics, Cambridge MA, USA.
John F ThompsonClaritas Genomics, Cambridge MA, USA.
Claritas Genomics (United States) · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next generation sequencing is a transformative technology for discovering and diagnosing genetic disorders. However, high-throughput sequencing remains error-prone, necessitating variant confirmation in order to meet the exacting demands of clinical diagnostic sequencing. To address this, we devised an orthogonal, dual platform approach employing complementary target capture and sequencing chemistries to improve speed and accuracy of variant calls at a genomic scale. We combined DNA selection by bait-based hybridization followed by Illumina NextSeq reversible terminator sequencing with DNA selection by amplification followed by Ion Proton semiconductor sequencing. This approach yields genomic scale orthogonal confirmation of ~95% of exome variants. Overall variant sensitivity improves as each method covers thousands of coding exons missed by the other. We conclude that orthogonal NGS offers improvements in variant calling sensitivity when two platforms are used, better specificity for variants identified on both platforms, and greatly reduces the time and expense of Sanger follow-up, thus enabling physicians to act on genomic results more quickly.

Indexed as

ExomeHigh-Throughput Nucleotide SequencingHumansMolecular Diagnostic TechniquesPolymerase Chain ReactionSensitivity and SpecificitySequence Analysis, DNA

Identifiers

PMID27090146
PMCPMC4836299
OpenAlexW2336701159

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.