scholarly journals Major Depressive Disorder and Lifestyle: Correlated Genetic Effects in Extended Twin Pedigrees

Genes ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1509
Author(s):  
Floris Huider ◽  
Yuri Milaneschi ◽  
Matthijs D. van der Zee ◽  
Eco J. C. de Geus ◽  
Quinta Helmer ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Physical Inactivity ◽  
Smoking Behavior ◽  
Genetic Effects ◽  
Pedigree Data ◽  
Genetic Etiology ◽  
Major Depressive ◽  
Additive Genetic Effects ◽  
Shared Genetic

In recent years, evidence has accumulated with regard to the ubiquity of pleiotropy across the genome, and shared genetic etiology is thought to play a large role in the widespread comorbidity among psychiatric disorders and risk factors. Recent methods investigate pleiotropy by estimating genetic correlation from genome-wide association summary statistics. More comprehensive estimates can be derived from the known relatedness between genetic relatives. Analysis of extended twin pedigree data allows for the estimation of genetic correlation for additive and non-additive genetic effects, as well as a shared household effect. Here we conduct a series of bivariate genetic analyses in extended twin pedigree data on lifetime major depressive disorder (MDD) and three indicators of lifestyle, namely smoking behavior, physical inactivity, and obesity, decomposing phenotypic variance and covariance into genetic and environmental components. We analyze lifetime MDD and lifestyle data in a large multigenerational dataset of 19,496 individuals by variance component analysis in the ‘Mendel’ software. We find genetic correlations for MDD and smoking behavior (rG = 0.249), physical inactivity (rG = 0.161), body-mass index (rG = 0.081), and obesity (rG = 0.155), which were primarily driven by additive genetic effects. These outcomes provide evidence in favor of a shared genetic etiology between MDD and the lifestyle factors.

scholarly journals Shared genetic etiology between alcohol dependence and major depressive disorder

2018 ◽  
Vol 28 (4) ◽  
pp. 66-70 ◽  
Author(s):  
Jerome C. Foo ◽  
Fabian Streit ◽  
Jens Treutlein ◽  
Stephan Ripke ◽  
Stephanie H. Witt ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Alcohol Dependence ◽  
Genetic Etiology ◽  
Major Depressive ◽  
Shared Genetic

scholarly journals Genetic effects influencing risk for major depressive disorder in China and Europe

2017 ◽  
Vol 7 (3) ◽  
pp. e1074-e1074 ◽  
Author(s):  
T B Bigdeli ◽  
◽  
S Ripke ◽  
R E Peterson ◽  
M Trzaskowski ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Genetic Effects ◽  
Major Depressive

scholarly journals Genetic and Environmental Contributions to The Association Between Violent Victimization and Major Depressive Disorder

2017 ◽  
Author(s):  
Nicholas Kavish ◽  
Eric J. Connolly ◽  
Brian B. Boutwell
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Violent Victimization ◽  
Major Depressive ◽  
Biometric Analysis ◽  
Sibling Pairs ◽  
Increased Risk ◽  
The Life Course ◽  
Shared Genetic ◽  
Half Sibling

AbstractResearch suggests victims of violent crime are more likely to suffer from major depressive disorder (MDD) compared to non-victims. Less research has utilized longitudinal data to evaluate the directionality of this relationship or examined the genetic and environmental contributions to this association across the life course. The current study evaluated 473 full-sibling pairs and 209 half-sibling pairs (N = 1,364) from the National Longitudinal Survey of Youth (Mage = 20.14, SD = 3.94). Cross-lagged models were used to examine the directionality of effects between violent victimization and MDD over time. Biometric liability models were used to examine genetic and environmental influences on single and chronic violent victimization and MDD. Violent victimization was associated with increases in MDD during late adolescence, but MDD was more associated with increased risk for violent victimization across young adulthood. Biometric analysis indicated that 20% and 30% of the association between MDD and single and chronic victimization, respectively, was accounted for by common genetic influences. Results from the current study suggest individuals who exhibit symptoms of MDD are at higher risk for chronic victimization rather than developing MDD as a result of victimization. Shared genetic liability accounted for between 20 to 30% of this longitudinal relationship.

scholarly journals Polygenic risk for severe psychopathology among Europeans is associated with major depressive disorder in Han Chinese women

2017 ◽  
Vol 48 (5) ◽  
pp. 777-789 ◽  
Author(s):  
A. C. Edwards ◽  
A. R. Docherty ◽  
A. Moscati ◽  
T. B. Bigdeli ◽  
R. E. Peterson ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Clinical Characteristics ◽  
Chinese Women ◽  
Well Being ◽  
Han Chinese ◽  
Major Depressive ◽  
Genetic Liability ◽  
Polygenic Risk ◽  
Shared Genetic

BackgroundPrevious studies have demonstrated that several major psychiatric disorders are influenced by shared genetic factors. This shared liability may influence clinical features of a given disorder (e.g. severity, age at onset). However, findings have largely been limited to European samples; little is known about the consistency of shared genetic liability across ethnicities.MethodThe relationship between polygenic risk for several major psychiatric diagnoses and major depressive disorder (MDD) was examined in a sample of unrelated Han Chinese women. Polygenic risk scores (PRSs) were generated using European discovery samples and tested in the China, Oxford, and VCU Experimental Research on Genetic Epidemiology [CONVERGE (maximumN= 10 502)], a sample ascertained for recurrent MDD. Genetic correlations between discovery phenotypes and MDD were also assessed. In addition, within-case characteristics were examined.ResultsEuropean-based polygenic risk for several major psychiatric disorder phenotypes was significantly associated with the MDD case status in CONVERGE. Risk for clinically significant indicators (neuroticism and subjective well-being) was also associated with case–control status. The variance accounted for by PRS for both psychopathology and for well-being was similar to estimates reported for within-ethnicity comparisons in European samples. However, European-based PRS were largely unassociated with CONVERGE family history, clinical characteristics, or comorbidity.ConclusionsThe shared genetic liability across severe forms of psychopathology is largely consistent across European and Han Chinese ethnicities, with little attenuation of genetic signal relative to within-ethnicity analyses. The overall absence of associations between PRS for other disorders and within-MDD variation suggests that clinical characteristics of MDD may arise due to contributions from ethnicity-specific factors and/or pathoplasticity.

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