Evidence map›Paper›PMID 27066588›Full record

ArticleNeurology. Genetics2016

In silico prioritization based on coexpression can aid epileptic encephalopathy gene discovery.

Karen L Oliver, Vesna Lukic, Saskia Freytag, Ingrid E Scheffer, Samuel F Berkovic, Melanie Bahlo

Open access · goldAbstract read
In one paragraph

Article in Neurology. Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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  16. De Novo Mutations in YWHAG Cause Early-Onset Epilepsy.American journal of human genetics · 2017
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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 4 institutions in 1 country.

Karen L OliverEpilepsy Research Centre (K.L.O., I.E.S., S.F.B.), Department of Medicine, Austin Health, University of Melbourne, Heidelberg, Australia; Population Health and Immunity Division (V.L., S.F., M.B.), The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia; Florey Institute (I.E.S.), Melbourne, Australia; Department of Paediatrics (I.E.S.), University of Melbourne, Royal Children's Hospital, Melbourne, Australia; and Department of Mathematics and Statistics (M.B.) and Department of Medical Biology (M.B.), University of Melbourne, Australia.
Vesna LukicEpilepsy Research Centre (K.L.O., I.E.S., S.F.B.), Department of Medicine, Austin Health, University of Melbourne, Heidelberg, Australia; Population Health and Immunity Division (V.L., S.F., M.B.), The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia; Florey Institute (I.E.S.), Melbourne, Australia; Department of Paediatrics (I.E.S.), University of Melbourne, Royal Children's Hospital, Melbourne, Australia; and Department of Mathematics and Statistics (M.B.) and Department of Medical Biology (M.B.), University of Melbourne, Australia.
Saskia FreytagEpilepsy Research Centre (K.L.O., I.E.S., S.F.B.), Department of Medicine, Austin Health, University of Melbourne, Heidelberg, Australia; Population Health and Immunity Division (V.L., S.F., M.B.), The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia; Florey Institute (I.E.S.), Melbourne, Australia; Department of Paediatrics (I.E.S.), University of Melbourne, Royal Children's Hospital, Melbourne, Australia; and Department of Mathematics and Statistics (M.B.) and Department of Medical Biology (M.B.), University of Melbourne, Australia.
Ingrid E SchefferEpilepsy Research Centre (K.L.O., I.E.S., S.F.B.), Department of Medicine, Austin Health, University of Melbourne, Heidelberg, Australia; Population Health and Immunity Division (V.L., S.F., M.B.), The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia; Florey Institute (I.E.S.), Melbourne, Australia; Department of Paediatrics (I.E.S.), University of Melbourne, Royal Children's Hospital, Melbourne, Australia; and Department of Mathematics and Statistics (M.B.) and Department of Medical Biology (M.B.), University of Melbourne, Australia.
Samuel F BerkovicEpilepsy Research Centre (K.L.O., I.E.S., S.F.B.), Department of Medicine, Austin Health, University of Melbourne, Heidelberg, Australia; Population Health and Immunity Division (V.L., S.F., M.B.), The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia; Florey Institute (I.E.S.), Melbourne, Australia; Department of Paediatrics (I.E.S.), University of Melbourne, Royal Children's Hospital, Melbourne, Australia; and Department of Mathematics and Statistics (M.B.) and Department of Medical Biology (M.B.), University of Melbourne, Australia.
Melanie BahloEpilepsy Research Centre (K.L.O., I.E.S., S.F.B.), Department of Medicine, Austin Health, University of Melbourne, Heidelberg, Australia; Population Health and Immunity Division (V.L., S.F., M.B.), The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia; Florey Institute (I.E.S.), Melbourne, Australia; Department of Paediatrics (I.E.S.), University of Melbourne, Royal Children's Hospital, Melbourne, Australia; and Department of Mathematics and Statistics (M.B.) and Department of Medical Biology (M.B.), University of Melbourne, Australia.
Florey Institute of Neuroscience and Mental Health · AUUniversity of Melbourne · AURoyal Children's Hospital · AUWalter and Eliza Hall Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the performance of an in silico prioritization approach that was applied to 179 epileptic encephalopathy candidate genes in 2013 and to expand the application of this approach to the whole genome based on expression data from the Allen Human Brain Atlas.

methodsPubMed searches determined which of the 179 epileptic encephalopathy candidate genes had been validated. For validated genes, it was noted whether they were 1 of the 19 of 179 candidates prioritized in 2013. The in silico prioritization approach was applied genome-wide; all genes were ranked according to their coexpression strength with a reference set (i.e., 51 established epileptic encephalopathy genes) in both adult and developing human brain expression data sets. Candidate genes ranked in the top 10% for both data sets were cross-referenced with genes previously implicated in the epileptic encephalopathies due to a de novo variant.

resultsFive of 6 validated epileptic encephalopathy candidate genes were among the 19 prioritized in 2013 (odds ratio = 54, 95% confidence interval [7,∞], p = 4.5 × 10(-5), Fisher exact test); one gene was false negative. A total of 297 genes ranked in the top 10% for both the adult and developing brain data sets based on coexpression with the reference set. Of these, 9 had been previously implicated in the epileptic encephalopathies (FBXO41, PLXNA1, ACOT4, PAK6, GABBR2, YWHAG, NBEA, KNDC1, and SELRC1).

conclusionsWe conclude that brain gene coexpression data can be used to assist epileptic encephalopathy gene discovery and propose 9 genes as strong epileptic encephalopathy candidates worthy of further investigation.

Identifiers

PMID27066588
PMCPMC4817907
OpenAlexW2336130198

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.