Evidence map›Paper›PMID 21858020›Full record

ArticlePloS one2011

Uncovering genomic causes of co-morbidity in epilepsy: gene-driven phenotypic characterization of rare microdeletions.

Dalia Kasperavičiūtė, Claudia B Catarino, Krishna Chinthapalli, Lisa M S Clayton, Maria Thom, Lillian Martinian, Hannah Cohen, Shazia Adalat, Detlef Bockenhauer, Simon A Pope and 7 more

Abstract readCase Reports
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
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  7. HNF1B-associated clinical phenotypes: the kidney and beyond.Pediatric nephrology (Berlin, Germany) · 2016
    Review
  8. Article
  9. TAM receptor signaling in immune homeostasis.Annual review of immunology · 2015
    Review
  10. Article
  11. Article
  12. Article
  13. 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

17 authors.

Dalia KasperavičiūtėDepartment of Clinical and Experimental Epilepsy, University College London Institute of Neurology, London, United Kingdom.
Claudia B Catarino
Krishna Chinthapalli
Lisa M S Clayton
Maria Thom
Lillian Martinian
Hannah Cohen
Shazia Adalat
Detlef Bockenhauer
Simon A Pope
Nicholas Lench
Martin Koltzenburg
John S Duncan
Peter Hammond
Raoul C M Hennekam
John M Land
Sanjay M Sisodiya

Funding

Department of HealthMedical Research Council G0400126Medical Research Council G0601943Wellcome TrustWellcome Trust 084730
6 · The paper itself

Abstract

backgroundPatients with epilepsy often suffer from other important conditions. The existence of such co-morbidities is frequently not recognized and their relationship with epilepsy usually remains unexplained. METHODOLOGY/PRINCIPAL

findingsWe describe three patients with common, sporadic, non-syndromic epilepsies in whom large genomic microdeletions were found during a study of genetic susceptibility to epilepsy. We performed detailed gene-driven clinical investigations in each patient. Disruption of the function of genes in the deleted regions can explain co-morbidities in these patients. CONCLUSIONS/SIGNIFICANCE: Co-morbidities in patients with epilepsy can be part of a genomic abnormality even in the absence of (known) congenital malformations or intellectual disabilities. Gene-driven phenotype examination can also reveal clinically significant unsuspected condition.

Indexed as

Chromosome DeletionGenetic Association StudiesAbnormalities, MultipleAdultChromosome DisordersChromosomes, Human, Pair 12Chromosomes, Human, Pair 17Chromosomes, Human, Pair 3ComorbidityEpilepsyFemaleGene DeletionGenetic Predisposition to DiseaseHumansMale

Identifiers

PMID21858020
PMCPMC3157359

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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.