Literature DB >> 1619451

Data collection strategies in genetic epidemiology: The Epilepsy Family Study of Columbia University.

R Ottman1, M Susser.   

Abstract

A large-scale study of genetic influences on seizure disorders is described here as a primer of tested methods for collection of family history data. 1957 adult probands with epilepsy were ascertained from voluntary organizations. Personal and family history data were obtained from probands in semistructured telephone interviews. To increase sensitivity, an independent family history was obtained from a second family informant in a similar interview. To increase specificity and diagnostic detail, family members reported to be affected were interviewed, and medical records of probands and affected relatives were collected. Participation rates for probands were 84-90%. Interviews were completed with second informants in 67% of families, and with 51% of eligible affected relatives. The main reasons for non-interview were lack of permission from probands and difficulties in locating relatives. Although 90% of probands gave verbal permission for medical record review, only 75% of these signed and returned consent forms for this purpose. Physicians returned 87% of the records requested. The resulting proportion of probands with medical records was 59%. These findings illustrate the complexity involved in assembling useful databases in genetic epidemiology.

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Year:  1992        PMID: 1619451     DOI: 10.1016/0895-4356(92)90049-s

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  17 in total

1.  Familial clustering of seizure types within the idiopathic generalized epilepsies.

Authors:  M R Winawer; C Marini; B E Grinton; D Rabinowitz; S F Berkovic; I E Scheffer; R Ottman
Journal:  Neurology       Date:  2005-08-23       Impact factor: 9.910

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

Authors:  R Ottman; W A Hauser; C Barker-Cummings; J H Lee; N Risch
Journal:  Am J Hum Genet       Date:  1997-03       Impact factor: 11.025

3.  Genetic testing preferences in families containing multiple individuals with epilepsy.

Authors:  Janice O Okeke; Virginia E Tangel; Shawn T Sorge; Dale C Hesdorffer; Melodie R Winawer; Jeff Goldsmith; Jo C Phelan; Wendy K Chung; Sara Shostak; Ruth Ottman
Journal:  Epilepsia       Date:  2014-09-29       Impact factor: 5.864

4.  Clinical and genetic study of Tunisian families with genetic generalized epilepsy: contribution of CACNA1H and MAST4 genes.

Authors:  Zied Landoulsi; Fatma Laatar; Eric Noé; Saloua Mrabet; Mouna Ben Djebara; Guillaume Achaz; Caroline Nava; Stéphanie Baulac; Imen Kacem; Amina Gargouri-Berrechid; Riadh Gouider; Eric Leguern
Journal:  Neurogenetics       Date:  2018-06-12       Impact factor: 2.660

5.  Classification of partial seizure symptoms in genetic studies of the epilepsies.

Authors:  H Choi; M R Winawer; S Kalachikov; T A Pedley; W A Hauser; R Ottman
Journal:  Neurology       Date:  2006-06-13       Impact factor: 9.910

6.  Localization of a gene for partial epilepsy to chromosome 10q.

Authors:  R Ottman; N Risch; W A Hauser; T A Pedley; J H Lee; C Barker-Cummings; A Lustenberger; K J Nagle; K S Lee; M L Scheuer
Journal:  Nat Genet       Date:  1995-05       Impact factor: 38.330

7.  Genetic influences on myoclonic and absence seizures.

Authors:  M R Winawer; D Rabinowitz; T A Pedley; W A Hauser; R Ottman
Journal:  Neurology       Date:  2003-12-09       Impact factor: 9.910

8.  Evidence for distinct genetic influences on generalized and localization-related epilepsy.

Authors:  Melodie Rose Winawer; Daniel Rabinowitz; Christie Barker-Cummings; Mark L Scheuer; Timothy A Pedley; W Allen Hauser; Ruth Ottman
Journal:  Epilepsia       Date:  2003-09       Impact factor: 5.864

9.  Is the comorbidity of epilepsy and migraine due to a shared genetic susceptibility?

Authors:  R Ottman; R B Lipton
Journal:  Neurology       Date:  1996-10       Impact factor: 9.910

10.  Reliability of seizure classification using a semistructured interview.

Authors:  R Ottman; J H Lee; W A Hauser; S Hong; D Hesdorffer; N Schupf; T A Pedley; M L Scheuer
Journal:  Neurology       Date:  1993-12       Impact factor: 9.910

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