Evidence map›Paper›PMID 28947717›Full record

ArticleJournal of genetics2017

Clinical utility of a 377 gene custom next-generation sequencing epilepsy panel.

Jen Bevilacqua, Andrew Hesse, Brian Cormier, Jennifer Davey, Devanshi Patel, Kritika Shankar, Honey V Reddi

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Jen BevilacquaTransgenomic Inc, Five Science Park, New Haven, CT 06511, USA. honeyreddi@gmail.com.
Andrew Hesse
Brian Cormier
Jennifer Davey
Devanshi Patel
Kritika Shankar
Honey V Reddi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epilepsy is one of the most common neurological disorders with about 500 genes thought to be involved across the phenotypic spectrum (Busch et al. 2014; Ran et al. 2014), which includes monogenic, multigenic, epistatic and pleiotropic phenotype manifestations (Busch et al. 2014; Thomas et al. 2014), driving the need for a comprehensive diagnostic test. Next-generation sequencing (NGS) allows for the simultaneous investigation of a large number of genes, making it a very attractive option for a condition as diverse as epilepsy at a low cost compared to traditional Sanger sequencing (Lemke et al. 2012; Németh et al. 2013). Our 377 gene epilepsy NGS test was developed to include genes known to cause or have published association with epilepsy and seizure-related disorders. Given the scale of information that is generated, the efficacy of an NGS panel depends on a number of factors, including the genes present on the panel, prebioinformatic and postbioinformatic analysis protocols, as well as reporting criteria, prompting the current study, a retrospective analysis of 305 cases tested for the epilepsy panel.

Indexed as

Gene Expression ProfilingGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingEpilepsyGenetic Association StudiesGenetic TestingHumansReproducibility of ResultsSensitivity and Specificity

Identifiers

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.