Literature DB >> 1514880

There is more than one way to collect data for linkage analysis. What a study of epilepsy can tell us about linkage strategy for psychiatric disease.

D A Greenberg1.   

Abstract

The most popular strategy for finding genes in psychiatric diseases has been to focus on large pedigrees with many affected members. While this strategy has sound advantages, it also has drawbacks that have seldom been addressed. The strategy of using smaller families also has its place in a linkage analysis. To illustrate the point, I discuss herein the successful search for a gene for another common complex disease, namely, idiopathic primary generalized epilepsy. There, investigators in the Los Angeles (Calif) Epilepsy Program used mostly nuclear families who were chosen through a proband with highly specific characteristics. An independent study, using a different strategy but one still focused on small families, then confirmed the linkage. However, investigators of both epilepsy projects put much care into determining which clinical characteristics would be used to define the index cases. The implications for the study of psychiatric disease are as follows: (1) careful attention must be paid to clinical presentation, and (2) there is room for both large-pedigree and small-family strategies in designing linkage studies.

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Year:  1992        PMID: 1514880     DOI: 10.1001/archpsyc.1992.01820090073012

Source DB:  PubMed          Journal:  Arch Gen Psychiatry        ISSN: 0003-990X


  12 in total

1.  Does performance on the standard antisaccade task meet the co-familiality criterion for an endophenotype?

Authors:  Deborah L Levy; Elizabeth A Bowman; Larry Abel; Olga Krastoshevsky; Verena Krause; Nancy R Mendell
Journal:  Brain Cogn       Date:  2008-10-07       Impact factor: 2.310

2.  Association and linkage: complementary strategies for complex disorders.

Authors:  M J Owen; P McGuffin
Journal:  J Med Genet       Date:  1993-08       Impact factor: 6.318

3.  Inferring a major gene for quantitative traits by using segregation analysis with tests on transmission probabilities: how often do we miss?

Authors:  I B Borecki; M A Province; D C Rao
Journal:  Am J Hum Genet       Date:  1995-01       Impact factor: 11.025

4.  Better data analysis through data exploration.

Authors:  S E Hodge; M Durner; V J Vieland; D A Greenberg
Journal:  Am J Hum Genet       Date:  1993-09       Impact factor: 11.025

5.  A survey of putative anxiety-associated genes in panic disorder patients with and without bladder symptoms.

Authors:  Ryan L Subaran; Ardesheer Talati; Steven P Hamilton; Phillip Adams; Myrna M Weissman; Abby J Fyer; Susan E Hodge
Journal:  Psychiatr Genet       Date:  2012-12       Impact factor: 2.458

6.  Recruitment of families for genetic studies of epilepsy.

Authors:  Ruth Ottman; Karina Berenson; Christie Barker-Cummings
Journal:  Epilepsia       Date:  2005-02       Impact factor: 5.864

7.  Tailoring the definition of the clinical schizophrenia phenotype in linkage studies.

Authors:  Verena Krause; Olga Krastoshevsky; Michael J Coleman; J Alexander Bodkin; Jan Lerbinger; Lenore Boling; Fred Johnson; Anne Gibbs; Jonathan O Cole; Zhuying Huang; Nancy R Mendell; Deborah L Levy
Journal:  Schizophr Res       Date:  2009-11-26       Impact factor: 4.939

8.  A contribution to the differential diagnosis of the "group of schizophrenias": structural abnormality of chromosome 4.

Authors:  R M Palmour; S Miller; A Fielding; M Vekemans; F R Ervin
Journal:  J Psychiatry Neurosci       Date:  1994-07       Impact factor: 6.186

Review 9.  Identification of the phenotype in psychiatric genetics.

Authors:  M T Tsuang; S V Faraone; M J Lyons
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  1993       Impact factor: 5.270

10.  Designing case-control studies: decisions about the controls.

Authors:  Susan E Hodge; Ryan L Subaran; Myrna M Weissman; Abby J Fyer
Journal:  Am J Psychiatry       Date:  2012-08       Impact factor: 18.112

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