Evidence map›Paper›PMID 31050039›Full record

ArticleAnnals of neurology2019

Epilepsy in families: Age at onset is a familial trait, independent of syndrome.

Colin A Ellis, Leonid Churilov, Michael P Epstein, Sharon X Xie, Susannah T Bellows, Ruth Ottman, Samuel F Berkovic, Epi4K Consortium

Open access · bronzeAbstract read
In one paragraph

Article in Annals of neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Role of telomere shortening in anticipation of inflammatory bowel disease.World journal of gastrointestinal pharmacology and therapeutics · 2020
    Article
  8. Article
  9. Article
  10. 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

8 authors at 5 institutions in 2 countries.

Colin A EllisEpilepsy Research Centre, Department of Medicine, University of Melbourne (Austin Health), Heidelberg, Victoria, Australia.
Leonid ChurilovFlorey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia.
Michael P EpsteinDepartment of Human Genetics, Emory University, Atlanta, GA.
Sharon X XieDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA.
Susannah T BellowsEpilepsy Research Centre, Department of Medicine, University of Melbourne (Austin Health), Heidelberg, Victoria, Australia.
Ruth OttmanDepartments of Epidemiology and Neurology, and the G. H. Sergievsky Center, Columbia University; and Division of Translational Epidemiology, New York State Psychiatric Institute, New York, NY.ORCID 0000-0001-7074-242X
Samuel F BerkovicEpilepsy Research Centre, Department of Medicine, University of Melbourne (Austin Health), Heidelberg, Victoria, Australia.ORCID 0000-0003-4580-841X
Epi4K Consortium
The University of Melbourne · AUEmory University · USFlorey Institute of Neuroscience and Mental Health · AUNew York Psychoanalytic Society and Institute · USUniversity of Pennsylvania · US

Funding

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 EpilepsyR01NS104076 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI OTTMAN, RUTH · 2018 to 2022
$3.2M
Remapping neurology through translation and innovationT32NS091008 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI AGUIRRE, GEOFFREY KARL, JENSEN, FRANCES E · 2015 to 2024
$3.0M
Psychosocial Impact of Genetics in EpilepsyR01NS078419 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI OTTMAN, RUTH · 2012 to 2015
$2.3M
Efficient statistical methods for assessing dementia risk in Parkinson's diseaseR01NS102324 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI WEINTRAUB, DANIEL, XIE, SHARON XIANGWEN · 2017 to 2020
$1.3M
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
1 of 7 Epi4K: Gene discovery in 4,000 epilepsy genomes - Administrative CoreU01NS077274 · NINDS · DUKE UNIVERSITY · PI GOLDSTEIN, DAVID B. · 2011 to 2015
$776k
NHGRI NIH HHS P50 HG007257NIGMS NIH HHS R01 GM117946NINDS NIH HHS R01 NS078419NINDS NIH HHS R01 NS102324NINDS NIH HHS R01 NS104076NINDS NIH HHS T32 NS091008NINDS NIH HHS U01 NS077274NINDS NIH HHS U01 NS077367
6 · The paper itself

Abstract

objectiveWe tested 2 hypotheses regarding age at onset within familial epilepsies: (1) family members with epilepsy tend to have similar ages at onset, independent of epilepsy syndrome; and (2) age at onset is younger in successive generations after controlling for sampling bias.

methodsWe analyzed clinical data collected by the Epi4K Consortium (303 multiplex families, 1,120 individuals). To test hypothesis 1, we used both linear mixed models commonly used for heritability analysis and Cox regression models with frailty terms to assess clustering of onset within families after controlling for other predictors. To test hypothesis 2, we used mixed effects models, pairwise analyses, and survival analysis to address sampling-related bias that may mimic anticipation.

resultsRegarding hypothesis 1, age at seizure onset was significantly heritable (intraclass correlation coefficient = 0.17, p < 0.001) after adjusting for epilepsy type, sex, site, history of febrile seizure, and age at last observation. This finding remained significant after adjusting for epilepsy syndromes, and was robust across statistical methods in all families and in generalized families. Regarding hypothesis 2, the mean age at onset decreased in successive generations (p < 0.001). After adjusting for age at last observation, this effect was not significant in mixed effects models (p = 0.14), but remained significant in pairwise (p = 0.0003) and survival analyses (p = 0.02).

interpretationAge at seizure onset is an independent familial trait, and may have genetic determinants distinct from the determinants of particular epilepsy syndromes. Younger onsets in successive generations can be explained in part by sampling bias, but the presence of genetic anticipation cannot be excluded. ANN NEUROL 2019.

Indexed as

FamilyAdolescentAge of OnsetChildChild, PreschoolEpilepsyFemaleHumansInfantLinear ModelsMalePedigreeSyndromeYoung Adult

Identifiers

PMID31050039
PMCPMC6565452
OpenAlexW2943195120

What OpenQuestion holds

Textmetadata
LicenceTDM
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.