Evidence map›Paper›PMID 28899008›Full record

ArticleBrain : a journal of neurology2017

Phenotypic analysis of 303 multiplex families with common epilepsies.

Epi4K Consortium

Abstract readMulticenter Study
In one paragraph

Article in Brain : a journal of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

1 author.

Epi4K Consortium

Funding

3 of 7 Epi4K: Sequencing, Biostatistics & Bioinformatics CoreU01NS077303 · NINDS · DUKE UNIVERSITY · PI EICHLER, EVAN, GOLDSTEIN, DAVID B. · 2011 to 2018
$13.3M
Center for Research on the Ethical, Legal and Social Implications of Psychiatric, Neurologic and Behavioral GeneticsP50HG007257 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI APPELBAUM, PAUL STUART · 2013 to 2017
$5.4M
Psychosocial Impact of Genetics in EpilepsyR01NS078419 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI OTTMAN, RUTH · 2012 to 2015
$2.3M
Statistical Tests for Mapping Genetic Determinants of Complex TraitsR01GM117946 · NIGMS · EMORY UNIVERSITY · PI EPSTEIN, MICHAEL PHILIP, GHOSH, DEBASHIS · 2016 to 2019
$1.2M
5 of 7 Epi4K: Multiplex Families & Pairs ProjectU01NS077367 · NINDS · UNIVERSITY OF MELBOURNE · PI BERKOVIC, SAMUEL FRANK, COSSETTE, PATRICK · 2011 to 2013
$1.0M
NHGRI NIH HHS P50 HG007257NIGMS NIH HHS R01 GM117946NINDS NIH HHS R01 NS078419NINDS NIH HHS U01 NS077303NINDS NIH HHS U01 NS077367
6 · The paper itself

Abstract

Gene identification in epilepsy has mainly been limited to large families segregating genes of major effect and de novo mutations in epileptic encephalopathies. Many families that present with common non-acquired focal epilepsies and genetic generalized epilepsies remain unexplained. We assembled a cohort of 'genetically enriched' common epilepsies by collecting and phenotyping families containing multiple individuals with unprovoked seizures. We aimed to determine if specific clinical epilepsy features aggregate within families, and whether this segregation of phenotypes may constitute distinct 'familial syndromes' that could inform genomic analyses. Families with three or more individuals with unprovoked seizures were studied across multiple international centres. Affected individuals were phenotyped and classified according to specific electroclinical syndromes. Families were categorized based on syndromic groupings of affected family members, examined for pedigree structure and phenotypic patterns and, where possible, assigned specific familial epilepsy syndromes. A total of 303 families were assembled and analysed, comprising 1120 affected phenotyped individuals. Of the 303 families, 117 exclusively segregated generalized epilepsy, 62 focal epilepsy, and 22 were classified as genetic epilepsy with febrile seizures plus. Over one-third (102 families) were observed to have mixed epilepsy phenotypes: 78 had both generalized and focal epilepsy features within the same individual (n = 39), or within first or second degree relatives (n = 39). Among the genetic generalized epilepsy families, absence epilepsies were found to cluster within families independently of juvenile myoclonic epilepsy, and significantly more females were affected than males. Of the 62 familial focal epilepsy families, two previously undescribed familial focal syndrome patterns were evident: 15 families had posterior quadrant epilepsies, including seven with occipito-temporal localization and seven with temporo-parietal foci, and four families displayed familial focal epilepsy of childhood with multiple affected siblings that was suggestive of recessive inheritance. The findings suggest (i) specific patterns of syndromic familial aggregation occur, including newly recognized forms of familial focal epilepsy; (ii) although syndrome-specificity usually occurs in multiplex families, the one-third of families with features of both focal and generalized epilepsy is suggestive of shared genetic determinants; and (iii) patterns of features observed across families including pedigree structure, sex, and age of onset may hold clues for future gene identification. Such detailed phenotypic information will be invaluable in the conditioning and interpretation of forthcoming sequencing data to understand the genetic architecture and inter-relationships of the common epilepsy syndromes.

Indexed as

Family HealthPhenotypeAdolescentAge of OnsetChildChild, PreschoolEpilepsy, GeneralizedFemaleHumansMalePedigreeSex FactorsYoung Adultepilepsygeneticsmultiplex familiesphenotype

Identifiers

PMID28899008
PMCPMC6059182

What OpenQuestion holds

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Registered trials

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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.