Evidence map›Paper›PMID 9042928›Full record

ArticleAmerican journal of human genetics1997

Segregation analysis of cryptogenic epilepsy and an empirical test of the validity of the results.

R Ottman, W A Hauser, C Barker-Cummings, J H Lee, N Risch

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Familial risk of epilepsy: a population-based study.Brain : a journal of neurology · 2014
    Article
  3. Pediatric epilepsy: Five new things.Neurology. Clinical practice · 2012
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Genetic and phenotypic analysis of seizure susceptibility in PL/J mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2004
    Article
  9. 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

5 authors at 1 institution in 1 country.

R OttmanG. H. Sergievsky Center, School of Public Health, Columbia University, New York, NY 10032, USA.
W A Hauser
C Barker-Cummings
J H Lee
N Risch
Columbia University · US

Funding

GENETIC EPIDEMIOLOGY OF FAMILIAL EPILEPSYR01NS020656 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI OTTMAN, RUTH · 1985 to 2001
$1.2M
NINDS NIH HHS R01-NS20656
6 · The paper itself

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

AdolescentAdultChildChild, PreschoolEpilepsyHumansInfantMiddle AgedModels, GeneticModels, StatisticalPhenotypeRisk Factors

Identifiers

PMID9042928
PMCPMC1712524
OpenAlexW192691053

What OpenQuestion holds

Textmetadata
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.