Literature DB >> 10359473

Major depressive disorder in a community-based twin sample: are there different genetic and environmental contributions for men and women?

L J Bierut1, A C Heath, K K Bucholz, S H Dinwiddie, P A Madden, D J Statham, M P Dunne, N G Martin.   

Abstract

BACKGROUND: Depression affects more women than men and often aggregates in families. Using a community-based sample of twins, we examined the contributions of genetic and environmental factors to the risk of developing major depressive disorder and the effect of sex and different definitions of depression on the relative contributions of genetic and environmental effects. Sex differences in genetic effects were also studied.
METHODS: A volunteer sample of Australian twins (2662 pairs) was interviewed using an abbreviated version of the Semi-Structured Assessment for the Genetics of Alcoholism, a semi-structured lay interview designed to assess psychiatric disorders. Depression was defined using 3 different criteria sets: DSM-III-R major depressive disorder, DSM-IV major depressive disorder, and severe DSM-IV major depressive disorder. Genetic and environmental contributions to the liability to develop depression were estimated using genetic model fitting.
RESULTS: Lifetime prevalences were 31% in women and 24% in men for DSM-III-R major depressive disorder, 22% in women and 16% in men for DSM-IV major depressive disorder, and 9% in women and 3% in men for severe DSM-IV major depressive disorder. In women, the simplest model to fit the data implicated genetic factors and environmental factors unique to the individual in the development of depression, with heritability estimates ranging from 36% to 44%. In men, depression was only modestly familial, and thus individual environmental factors played a larger role in the development of depression. For DSM-III-R major depressive disorder, there were statistically different estimates for heritability for men vs. women. For both sexes, the relative contributions of genetic and environmental factors were stable using different definitions of depression.
CONCLUSIONS: There was moderate familial aggregation of depression in women and this primarily was attributable to genetic factors. In men, there was only modest familial aggregation of depression. For both men and women, individual environmental experiences played a large role in the development of depression. Major depressive disorder as defined by DSM-III-R was more heritable in women as compared with men. The relative contributions of genetic and environmental factors in the development of depression were similar for varying definitions of depression, from a broad definition to a narrow definition.

Entities:  

Mesh:

Year:  1999        PMID: 10359473     DOI: 10.1001/archpsyc.56.6.557

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


  58 in total

1.  Genetics of major mood disorders.

Authors:  Wade Berrettini
Journal:  Psychiatry (Edgmont)       Date:  2004-09

2.  Age of onset and family history as indicators of polygenic risk for major depression.

Authors:  Anna R Docherty; Alexis C Edwards; Fuzhong Yang; Roseann E Peterson; Chelsea Sawyers; Daniel E Adkins; Ashlee A Moore; Bradley T Webb; Silviu A Bacanu; Jonathan Flint; Kenneth S Kendler
Journal:  Depress Anxiety       Date:  2017-02-02       Impact factor: 6.505

3.  Genetic and environmental influences on the co-morbidity between depression, panic disorder, agoraphobia, and social phobia: a twin study.

Authors:  Miriam A Mosing; Scott D Gordon; Sarah E Medland; Dixie J Statham; Elliot C Nelson; Andrew C Heath; Nicholas G Martin; Naomi R Wray
Journal:  Depress Anxiety       Date:  2009       Impact factor: 6.505

4.  Does family history of depression predict major depression in midlife women? Study of Women's Health Across the Nation Mental Health Study (SWAN MHS).

Authors:  Alicia Colvin; Gale A Richardson; Jill M Cyranowski; Ada Youk; Joyce T Bromberger
Journal:  Arch Womens Ment Health       Date:  2014-06-21       Impact factor: 3.633

5.  Molecular epidemiology of major depressive disorder.

Authors:  Chikako Kiyohara; Kouichi Yoshimasu
Journal:  Environ Health Prev Med       Date:  2009-01-20       Impact factor: 3.674

6.  Possible association of the GSK3β gene with the anxiety symptoms of major depressive disorder and P300 waveform.

Authors:  Sha Liu; Ning Sun; Yong Xu; Chunxia Yang; Yan Ren; Zhifen Liu; Xiaohua Cao; Yan Sun; Qi Xu; Kerang Zhang; Yan Shen
Journal:  Genet Test Mol Biomarkers       Date:  2012-10-02

7.  Relationships among independent major depressions, alcohol use, and other substance use and related problems over 30 years in 397 families.

Authors:  Marc A Schuckit; Tom L Smith; Jelger Kalmijn
Journal:  J Stud Alcohol Drugs       Date:  2013-03       Impact factor: 2.582

8.  Age-specific familial risks of depression: a nation-wide epidemiological study from Sweden.

Authors:  Xinjun Li; Jan Sundquist; Kristina Sundquist
Journal:  J Psychiatr Res       Date:  2007-11-05       Impact factor: 4.791

9.  [Prevalence and early determinants of common mental disorders in the 1982 birth cohort, Pelotas, Southern Brazil].

Authors:  Luciana Anselmi; Fernando C Barros; Gicele C Minten; Denise P Gigante; Bernardo L Horta; Cesar G Victora
Journal:  Rev Saude Publica       Date:  2008-12       Impact factor: 2.106

Review 10.  Depression in children and adolescents: does gender make a difference?

Authors:  Elizabeth B Weller; Angelica Kloos; Joon Kang; Ronald A Weller
Journal:  Curr Psychiatry Rep       Date:  2006-04       Impact factor: 5.285

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.