scholarly journals Dissection of Major Depressive Disorder using polygenic risk scores for Schizophrenia in two independent cohort

2016 ◽  
Author(s):  
HC Whalley ◽  
MJ Adams ◽  
LS Hall ◽  
T-K Clarke ◽  
AM Fernandez-Pujals ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Psychological Distress ◽  
Depressive Disorder ◽  
Genetic Risk ◽  
Large Population ◽  
Case Control ◽  
Risk Scores ◽  
Uk Biobank ◽  
Major Depressive ◽  
Polygenic Risk

AbstractMajor depressive disorder (MDD) is known for its substantial clinical and suspected causal heterogeneity. It is characterised by low mood, psychomotor slowing, and increased levels of the personality trait neuroticism; factors which are also associated with schizophrenia (SCZ). It is possible that some cases of MDD may have a substantial genetic loading for SCZ. A sign of the presence of SCZ-like MDD sub-groups would be indicated by an interaction between MDD status and polygenic risk of SCZ on cognitive, personality and mood measures. In the current study, we hypothesised that higher SCZ-polygenic risk would define larger MDD case-control differences in cognitive ability, and smaller differences in distress and neuroticism. Polygenic risk scores (PGRS) for SCZ and their association with cognitive variables, neuroticism, mood, and psychological distress were estimated in a large population-based cohort (Generation Scotland: Scottish Family Health Study, GS:SFHS). Individuals were divided into those with, and without, depression (n=2587 & n=16,764 respectively) to test whether there was an interaction between MDD status and schizophrenia risk. Replication was sought in UK Biobank (n=33,525). In both GS:SFHS and UK Biobank we found significant interactions between SCZ-PGRS and MDD status for measures of psychological distress and neuroticism. In both cohorts there was a reduction of case-control differences on a background of higher genetic risk of SCZ. These findings suggest that depression on a background of high genetic risk for SCZ may show attenuated associations with distress and neuroticism. This may represent a causally distinct form of MDD more closely related to SCZ.

scholarly journals Association of whole-genome and NETRIN1 signaling pathway-derived polygenic risk scores for Major Depressive Disorder and thalamic radiation white matter microstructure in UK Biobank

2018 ◽  
Author(s):  
Miruna C. Barbu ◽  
Yanni Zeng ◽  
Xueyi Shen ◽  
Simon R. Cox ◽  
Toni-Kim Clarke ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
White Matter ◽  
Depressive Disorder ◽  
Signaling Pathway ◽  
Risk Scores ◽  
Whole Genome ◽  
Uk Biobank ◽  
Major Depressive ◽  
Polygenic Risk ◽  
White Matter Microstructure

AbstractBackgroundMajor Depressive Disorder (MDD) is a clinically heterogeneous psychiatric disorder with a polygenic architecture. Genome-wide association studies have identified a number of risk-associated variants across the genome, and growing evidence of NETRIN1 pathway involvement. Stratifying disease risk by genetic variation within the NETRIN1 pathway may provide an important route for identification of disease mechanisms by focusing on a specific process excluding heterogeneous risk-associated variation in other pathways. Here, we sought to investigate whether MDD polygenic risk scores derived from the NETRIN1 signaling pathway (NETRIN1-PRS) and the whole genome excluding NETRIN1 pathway genes (genomic-PRS) were associated with white matter integrity.MethodsWe used two diffusion tensor imaging measures, fractional anisotropy (FA) and mean diffusivity (MD), in the most up-to-date UK Biobank neuroimaging data release (FA: N = 6,401; MD: N = 6,390).ResultsWe found significantly lower FA in the superior longitudinal fasciculus (β = -0.035, pcorrected = 0.029) and significantly higher MD in a global measure of thalamic radiations (β = 0.029, pcorrected = 0.021), as well as higher MD in the superior (β = 0.034, pcorrected = 0.039) and inferior (β = 0.029, pcorrected = 0.043) longitudinal fasciculus and in the anterior (β = 0.025, pcorrected = 0.046) and superior (β = 0.027, pcorrected = 0.043) thalamic radiation associated with NETRIN1-PRS. Genomic-PRS was also associated with lower FA and higher MD in several tracts.ConclusionsOur findings indicate that variation in the NETRIN1 signaling pathway may confer risk for MDD through effects on thalamic radiation white matter microstructure.

scholarly journals Genome-wide interaction study of a proxy for stress-sensitivity and its prediction of major depressive disorder

2017 ◽  
Author(s):  
Aleix Arnau-Soler ◽  
Mark J. Adams ◽  
Caroline Hayward ◽  
Pippa A. Thomson ◽  
◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Stress Sensitivity ◽  
Negative Regulator ◽  
Risk Scores ◽  
Uk Biobank ◽  
Major Depressive ◽  
Polygenic Risk ◽  
Genome Wide ◽  
Generation Scotland

AbstractIndividual response to stress is correlated with neuroticism and is an important predictor of both neuroticism and the onset of major depressive disorder (MDD). Identification of the genetics underpinning individual differences in response to negative events (stress-sensitivity) may improve our understanding of the molecular pathways involved, and its association with stress-related illnesses. We sought to generate a proxy for stress-sensitivity through modelling the interaction between SNP allele and MDD status on neuroticism score in order to identify genetic variants that contribute to the higher neuroticism seen in individuals with a lifetime diagnosis of depression compared to unaffected individuals. Meta-analysis of genome-wide interaction studies (GWIS) in UK Biobank (N = 23,092) and Generation Scotland: Scottish Family Health Study (N = 7,155) identified no genome-wide significance SNP interactions. However, gene-based tests identified a genome-wide significant gene, ZNF366, a negative regulator of glucocorticoid receptor function implicated in alcohol dependence (p = 1.48×10-7; Bonferroni-corrected significance threshold p < 2.79×10-6). Using summary statistics from the stress-sensitivity term of the GWIS, SNP heritability for stress-sensitivity was estimated at 5.0%. In models fitting polygenic risk scores of both MDD and neuroticism derived from independent GWAS, we show that polygenic risk scores derived from the UK Biobank stress-sensitivity GWIS significantly improved the prediction of MDD in Generation Scotland. This study may improve interpretation of larger genome-wide association studies of MDD and other stress-related illnesses, and the understanding of the etiological mechanisms underpinning stress-sensitivity.

scholarly journals Polygenic interactions with environmental adversity in the aetiology of major depressive disorder

2015 ◽  
Vol 46 (4) ◽  
pp. 759-770 ◽  
Author(s):  
N. Mullins ◽  
R. A. Power ◽  
H. L. Fisher ◽  
K. B. Hanscombe ◽  
J. Euesden ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Environmental Risk ◽  
Complex Traits ◽  
Risk Scores ◽  
Environment Interaction ◽  
Inverse Association ◽  
Major Depressive ◽  
Polygenic Risk ◽  
Gene Environment

BackgroundMajor depressive disorder (MDD) is a common and disabling condition with well-established heritability and environmental risk factors. Gene–environment interaction studies in MDD have typically investigated candidate genes, though the disorder is known to be highly polygenic. This study aims to test for interaction between polygenic risk and stressful life events (SLEs) or childhood trauma (CT) in the aetiology of MDD.MethodThe RADIANT UK sample consists of 1605 MDD cases and 1064 controls with SLE data, and a subset of 240 cases and 272 controls with CT data. Polygenic risk scores (PRS) were constructed using results from a mega-analysis on MDD by the Psychiatric Genomics Consortium. PRS and environmental factors were tested for association with case/control status and for interaction between them.ResultsPRS significantly predicted depression, explaining 1.1% of variance in phenotype (p= 1.9 × 10−6). SLEs and CT were also associated with MDD status (p= 2.19 × 10−4andp= 5.12 × 10−20, respectively). No interactions were found between PRS and SLEs. Significant PRSxCT interactions were found (p= 0.002), but showed an inverse association with MDD status, as cases who experienced more severe CT tended to have a lower PRS than other cases or controls. This relationship between PRS and CT was not observed in independent replication samples.ConclusionsCT is a strong risk factor for MDD but may have greater effect in individuals with lower genetic liability for the disorder. Including environmental risk along with genetics is important in studying the aetiology of MDD and PRS provide a useful approach to investigating gene–environment interactions in complex traits.

scholarly journals Stratifying major depressive disorder by polygenic risk for schizophrenia in relation to structural brain measures

2019 ◽  
Vol 50 (10) ◽  
pp. 1653-1662 ◽  
Author(s):  
Mathew A. Harris ◽  
Xueyi Shen ◽  
Simon R. Cox ◽  
Jude Gibson ◽  
Mark J. Adams ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Case Control ◽  
Anterior Cingulate ◽  
Interactive Effects ◽  
Polygenic Risk Score ◽  
Major Depressive ◽  
Polygenic Risk ◽  
High Genetic Risk ◽  
Effective Diagnosis

AbstractBackgroundSubstantial clinical heterogeneity of major depressive disorder (MDD) suggests it may group together individuals with diverse aetiologies. Identifying distinct subtypes should lead to more effective diagnosis and treatment, while providing more useful targets for further research. Genetic and clinical overlap between MDD and schizophrenia (SCZ) suggests an MDD subtype may share underlying mechanisms with SCZ.MethodsThe present study investigated whether a neurobiologically distinct subtype of MDD could be identified by SCZ polygenic risk score (PRS). We explored interactive effects between SCZ PRS and MDD case/control status on a range of cortical, subcortical and white matter metrics among 2370 male and 2574 female UK Biobank participants.ResultsThere was a significant SCZ PRS by MDD interaction for rostral anterior cingulate cortex (RACC) thickness (β = 0.191, q = 0.043). This was driven by a positive association between SCZ PRS and RACC thickness among MDD cases (β = 0.098, p = 0.026), compared to a negative association among controls (β = −0.087, p = 0.002). MDD cases with low SCZ PRS showed thinner RACC, although the opposite difference for high-SCZ-PRS cases was not significant. There were nominal interactions for other brain metrics, but none remained significant after correcting for multiple comparisons.ConclusionsOur significant results indicate that MDD case-control differences in RACC thickness vary as a function of SCZ PRS. Although this was not the case for most other brain measures assessed, our specific findings still provide some further evidence that MDD in the presence of high genetic risk for SCZ is subtly neurobiologically distinct from MDD in general.

scholarly journals Dissection of major depressive disorder using polygenic risk scores for schizophrenia in two independent cohorts

2016 ◽  
Vol 6 (11) ◽  
pp. e938-e938 ◽  
Author(s):  
H C Whalley ◽  
M J Adams ◽  
L S Hall ◽  
T-K Clarke ◽  
A M Fernandez-Pujals ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Risk Scores ◽  
Major Depressive ◽  
Polygenic Risk

Discriminating bipolar depression from major depressive disorder with polygenic risk scores

2020 ◽  
pp. 1-8 ◽  
Author(s):  
David T. Liebers ◽  
Mehdi Pirooznia ◽  
Andrea Ganna ◽  
Fernando S. Goes ◽  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Clinical Features ◽  
Clinical Symptoms ◽  
Bipolar Depression ◽  
Risk Scores ◽  
Characteristic Analysis ◽  
Major Depressive ◽  
Polygenic Risk ◽  
Increased Risk

Abstract Background Although accurate differentiation between bipolar disorder (BD) and unipolar major depressive disorder (MDD) has important prognostic and therapeutic implications, the distinction is often challenging based on clinical grounds alone. In this study, we tested whether psychiatric polygenic risk scores (PRSs) improve clinically based classification models of BD v. MDD diagnosis. Methods Our sample included 843 BD and 930 MDD subjects similarly genotyped and phenotyped using the same standardized interview. We performed multivariate modeling and receiver operating characteristic analysis, testing the incremental effect of PRSs on a baseline model with clinical symptoms and features known to associate with BD compared with MDD status. Results We found a strong association between a BD diagnosis and PRSs drawn from BD (R2 = 3.5%, p = 4.94 × 10−12) and schizophrenia (R2 = 3.2%, p = 5.71 × 10−11) genome-wide association meta-analyses. Individuals with top decile BD PRS had a significantly increased risk for BD v. MDD compared with those in the lowest decile (odds ratio 3.39, confidence interval 2.19–5.25). PRSs discriminated BD v. MDD to a degree comparable with many individual symptoms and clinical features previously shown to associate with BD. When compared with the full composite model with all symptoms and clinical features PRSs provided modestly improved discriminatory ability (ΔC = 0.011, p = 6.48 × 10−4). Conclusions Our study demonstrates that psychiatric PRSs provide modest independent discrimination between BD and MDD cases, suggesting that PRSs could ultimately have utility in subjects at the extremes of the distribution and/or subjects for whom clinical symptoms are poorly measured or yet to manifest.

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