Literature DB >> 11722156

Genetic and environmental risk factors for depression assessed by subject-rated symptom check list versus structured clinical interview.

D L Foley1, M C Neale, K S Kendler.   

Abstract

BACKGROUND: It is not known if a subject's characteristic level of self-rated depression symptoms index their genetic or environmental liability to major depressive disorder when measurement error and other occasion-specific influences are taken into account.
METHOD: Monozygotic (N = 408) and dizygotic (N = 295) adult female twin pairs from a population-based registry were surveyed twice with an average follow-up interval of 61 months. At each occasion subjects completed a structured clinical interview (SCID) to assess lifetime history of major depression and the subject-rated Symptom Check List (SCL) to assess current level of depressive symptomatology. A bivariate measurement model was used to estimate the genetic and environmental correlations between liability to reliably diagnosed lifetime history of major depression and the characteristic or temporally stable SCL depression score.
RESULTS: The genetic and non-familial environmental correlation between liability to reliably diagnosed major depression and the characteristic level of SCL depression symptoms (and the proportion of variance shared between measures) is +0.70 and +0.24 respectively.
CONCLUSIONS: When allowance is made for diagnostic unreliability and temporal fluctuations in the level of subject-rated symptoms, 70% of the variance in genetic risk factors and 24% of the variance in environmental risk factors is shared by a diagnosis of lifetime major depression and total SCL depression symptom score. SCL depression scores may therefore be a useful screening measure for many of the genetic risk factors which influence liability to major depression.

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Year:  2001        PMID: 11722156     DOI: 10.1017/s0033291701004755

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  10 in total

1.  Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank.

Authors:  Lynsey S Hall; Mark J Adams; Aleix Arnau-Soler; Toni-Kim Clarke; David M Howard; Yanni Zeng; Gail Davies; Saskia P Hagenaars; Ana Maria Fernandez-Pujals; Jude Gibson; Eleanor M Wigmore; Thibaud S Boutin; Caroline Hayward; Generation Scotland; David J Porteous; Ian J Deary; Pippa A Thomson; Chris S Haley; Andrew M McIntosh
Journal:  Transl Psychiatry       Date:  2018-01-10       Impact factor: 6.222

2.  Recalibration methods to enhance information on prevalence rates from large mental health surveys.

Authors:  N A Taub; Z Morgan; T S Brugha; P C Lambert; P E Bebbington; R Jenkins; R C Kessler; A M Zaslavsky; T Hotz
Journal:  Int J Methods Psychiatr Res       Date:  2005       Impact factor: 4.035

3.  Shared and specific genetic risk factors for lifetime major depression, depressive symptoms and neuroticism in three population-based twin samples.

Authors:  Kenneth S Kendler; Charles O Gardner; Michael C Neale; Steve Aggen; Andrew Heath; Lucía Colodro-Conde; Baptiste Couvyduchesne; Enda M Byrne; Nicholas G Martin; Nathan A Gillespie
Journal:  Psychol Med       Date:  2018-12-19       Impact factor: 7.723

4.  The impact of environmental experiences on symptoms of anxiety and depression across the life span.

Authors:  Kenneth S Kendler; Lindon J Eaves; Erik K Loken; Nancy L Pedersen; Christel M Middeldorp; Chandra Reynolds; Dorret Boomsma; Paul Lichtenstein; Judy Silberg; Charles O Gardner
Journal:  Psychol Sci       Date:  2011-09-23

5.  Modeling the direction of causation between cross-sectional measures of disrupted sleep, anxiety and depression in a sample of male and female Australian twins.

Authors:  Nathan A Gillespie; Philip Gehrman; Enda M Byrne; Kenneth S Kendler; Andrew C Heath; Nicholas G Martin
Journal:  J Sleep Res       Date:  2012-06-27       Impact factor: 3.981

6.  Strong genetic correlation between interview-assessed internalizing disorders and a brief self-report symptom scale.

Authors:  Line C Gjerde; Espen Røysamb; Nikolai Czajkowski; Ted Reichborn-Kjennerud; Ragnhild E Orstavik; Kenneth S Kendler; Kristian Tambs
Journal:  Twin Res Hum Genet       Date:  2011-02       Impact factor: 1.587

7.  Clarifying the causal relationship in women between childhood sexual abuse and lifetime major depression.

Authors:  K S Kendler; S H Aggen
Journal:  Psychol Med       Date:  2013-08-13       Impact factor: 7.723

8.  Sparse whole-genome sequencing identifies two loci for major depressive disorder.

Authors: 
Journal:  Nature       Date:  2015-07-15       Impact factor: 49.962

Review 9.  The genetics of major depression.

Authors:  Jonathan Flint; Kenneth S Kendler
Journal:  Neuron       Date:  2014-02-05       Impact factor: 17.173

10.  Minimal phenotyping yields genome-wide association signals of low specificity for major depression.

Authors:  Na Cai; Joana A Revez; Mark J Adams; Till F M Andlauer; Gerome Breen; Enda M Byrne; Toni-Kim Clarke; Andreas J Forstner; Hans J Grabe; Steven P Hamilton; Douglas F Levinson; Cathryn M Lewis; Glyn Lewis; Nicholas G Martin; Yuri Milaneschi; Ole Mors; Bertram Müller-Myhsok; Brenda W J H Penninx; Roy H Perlis; Giorgio Pistis; James B Potash; Martin Preisig; Jianxin Shi; Jordan W Smoller; Fabien Streit; Henning Tiemeier; Rudolf Uher; Sandra Van der Auwera; Alexander Viktorin; Myrna M Weissman; Kenneth S Kendler; Jonathan Flint
Journal:  Nat Genet       Date:  2020-03-30       Impact factor: 38.330

  10 in total

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