ArticleAmerican journal of human genetics1997
Segregation analysis of cryptogenic epilepsy and an empirical test of the validity of the results.
Article in American journal of human genetics, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 29 citations in OpenAlex.
- Phenotypic analysis of 303 multiplex families with common epilepsies.Brain : a journal of neurology · 2017Article
- Familial risk of epilepsy: a population-based study.Brain : a journal of neurology · 2014Article
- Pediatric epilepsy: Five new things.Neurology. Clinical practice · 2012Article
- Etiology of a genetically complex seizure disorder in Celf4 mutant mice.Genes, brain, and behavior · 2011Article
- Incomplete hippocampal inversion-is there a relation to epilepsy?European radiology · 2009Article
- Complex seizure disorder caused by Brunol4 deficiency in mice.PLoS genetics · 2007Article
- Analysis of genetically complex epilepsies.Epilepsia · 2005Review
- Genetic and phenotypic analysis of seizure susceptibility in PL/J mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2004Article
- Familial infantile convulsions and paroxysmal choreoathetosis: a new neurological syndrome linked to the pericentromeric region of human chromosome 16.American journal of human genetics · 1997Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
We used POINTER to perform segregation analysis of cryptogenic epilepsy in 1,557 three-generation families (probands and their parents, siblings, and offspring) ascertained from voluntary organizations. Analysis of the full data set indicated that the data were most consistent with an autosomal dominant (AD) model with 61% penetrance of the susceptibility gene. However, subsequent analyses revealed that the patterns of familial aggregation differed markedly between siblings and offspring of the probands. Risks in siblings were consistent with an autosomal recessive (AR) model and inconsistent with an AD model, whereas risks in offspring were inconsistent with an AR model and more consistent with an AD model. As a further test of the validity of the AD model, we used sequential ascertainment to extend the family history information in the subset of families judged likely to carry the putative susceptibility gene because they contained at least three affected individuals. Prevalence of idiopathic/cryptogenic epilepsy was only 3.7% in newly identified relatives expected to have a 50% probability of carrying the susceptibility gene under an AD model. Approximately 30% (i.e., 50% x 61%) were expected to be affected under the AD model resulting from the segregation analysis. These results suggest that the familial distribution of cryptogenic epilepsy is inconsistent with any conventional genetic model. The differences between siblings and offspring in the patterns of familial risk are intriguing and should be investigated further.
Indexed as
Identifiers
9042928PMC1712524W192691053What OpenQuestion holds
Registered trials
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.