scholarly journals Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

2016 ◽  
Vol 48 (6) ◽  
pp. 624-633 ◽  
Author(s):  
Aysu Okbay ◽  
◽  
Bart M L Baselmans ◽  
Jan-Emmanuel De Neve ◽  
Patrick Turley ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Genetic Variants ◽  
Well Being ◽  
Subjective Well Being ◽  
Genome Wide

scholarly journals Erratum: Corrigendum: Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

2016 ◽  
Vol 48 (8) ◽  
pp. 970-970 ◽  
Author(s):  
Aysu Okbay ◽  
◽  
Bart M L Baselmans ◽  
Jan-Emmanuel De Neve ◽  
Patrick Turley ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Genetic Variants ◽  
Well Being ◽  
Subjective Well Being ◽  
Genome Wide

scholarly journals Erratum: Corrigendum: Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

2016 ◽  
Vol 48 (12) ◽  
pp. 1591-1591 ◽  
Author(s):  
Aysu Okbay ◽  
◽  
Bart M L Baselmans ◽  
Jan-Emmanuel De Neve ◽  
Patrick Turley ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Genetic Variants ◽  
Well Being ◽  
Subjective Well Being ◽  
Genome Wide

scholarly journals MTAG: Multi-Trait Analysis of GWAS

2017 ◽  
Author(s):  
Patrick Turley ◽  
Raymond K. Walters ◽  
Omeed Maghzian ◽  
Aysu Okbay ◽  
James J. Lee ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Well Being ◽  
Joint Analysis ◽  
Summary Statistics ◽  
Subjective Well Being ◽  
Bioinformatics Analyses ◽  
Trait Analysis ◽  
Genome Wide ◽  
Polygenic Scores ◽  
Variance Explained

ABSTRACTWe introduce Multi-Trait Analysis of GWAS (MTAG), a method for joint analysis of summary statistics from GWASs of different traits, possibly from overlapping samples. We apply MTAG to summary statistics for depressive symptoms (Neff = 354,862), neuroticism (N = 168,105), and subjective well-being (N = 388,538). Compared to 32, 9, and 13 genome-wide significant loci in the single-trait GWASs (most of which are themselves novel), MTAG increases the number of loci to 64, 37, and 49, respectively. Moreover, association statistics from MTAG yield more informative bioinformatics analyses and increase variance explained by polygenic scores by approximately 25%, matching theoretical expectations.

scholarly journals Causal associations between body mass index and mental health: a Mendelian randomisation study

2018 ◽  
Vol 72 (8) ◽  
pp. 708-710 ◽  
Author(s):  
Nina van den Broek ◽  
Jorien L Treur ◽  
Junilla K Larsen ◽  
Maaike Verhagen ◽  
Karin J H Verweij ◽  
...  
Keyword(s):  
Mental Health ◽  
Body Mass Index ◽  
Depressive Symptoms ◽  
Body Mass ◽  
Genetic Variants ◽  
Well Being ◽  
Causal Effects ◽  
Mendelian Randomisation ◽  
Genome Wide Association Studies ◽  
Subjective Well Being

BackgroundBody mass index (BMI) is correlated negatively with subjective well-being and positively with depressive symptoms. Whether these associations reflect causal effects is unclear.MethodsWe examined bidirectional, causal effects between BMI and mental health with Mendelian randomisation using summary-level data from published genome-wide association studies (BMI: n=339 224; subjective well-being: n=204 966; depressive symptoms: n=161 460). Genetic variants robustly related to the exposure variable acted as instrumental variable to estimate causal effects. We combined estimates of individual genetic variants with inverse-variance weighted meta-analysis, weighted median regression and MR-Egger regression.ResultsThere was evidence for a causal, increasing effect of BMI on depressive symptoms and suggestive evidence for a decreasing effect of BMI on subjective well-being. We found no evidence for causality in the other direction.ConclusionThis study provides support for a higher BMI causing poorer mental health. Further research should corroborate these findings and explore mechanisms underlying this potential causality.

A genome-wide multiphenotypic association analysis identified common candidate genes for subjective well-being, depressive symptoms and neuroticism

2020 ◽  
Vol 124 ◽  
pp. 22-28
Author(s):  
Xiaomeng Chu ◽  
Li Liu ◽  
Yan Wen ◽  
Ping Li ◽  
Bolun Cheng ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Candidate Genes ◽  
Association Analysis ◽  
Well Being ◽  
Subjective Well Being ◽  
Genome Wide ◽  
A Genome

Shared genetic etiology between anxiety disorders and psychiatric and related intermediate phenotypes

2019 ◽  
Vol 50 (4) ◽  
pp. 692-704 ◽  
Author(s):  
Kazutaka Ohi ◽  
Takeshi Otowa ◽  
Mihoko Shimada ◽  
Tsukasa Sasaki ◽  
Hisashi Tanii
Keyword(s):  
Anxiety Disorders ◽  
Psychiatric Disorders ◽  
Genetic Variants ◽  
Large Scale ◽  
Genetic Correlations ◽  
Well Being ◽  
Subjective Well Being ◽  
Intermediate Phenotypes ◽  
Genome Wide ◽  
Common Genetic Variants

AbstractBackgroundPsychiatric disorders and related intermediate phenotypes are highly heritable and have a complex, overlapping polygenic architecture. A large-scale genome-wide association study (GWAS) of anxiety disorders identified genetic variants that are significant on a genome-wide. The current study investigated the genetic etiological overlaps between anxiety disorders and frequently cooccurring psychiatric disorders and intermediate phenotypes.MethodsUsing case–control and factor score models, we investigated the genetic correlations of anxiety disorders with eight psychiatric disorders and intermediate phenotypes [the volumes of seven subcortical brain regions, childhood cognition, general cognitive ability and personality traits (subjective well-being, loneliness, neuroticism and extraversion)] from large-scale GWASs (n= 7556–298 420) by linkage disequilibrium score regression.ResultsAmong psychiatric disorders, the risk of anxiety disorders was positively genetically correlated with the risks of major depressive disorder (MDD) (rg± standard error = 0.83 ± 0.16,p= 1.97 × 10−7), schizophrenia (SCZ) (0.28 ± 0.09,p= 1.10 × 10−3) and attention-deficit/hyperactivity disorder (ADHD) (0.34 ± 0.13,p= 8.40 × 10−3). Among intermediate phenotypes, significant genetic correlations existed between the risk of anxiety disorders and neuroticism (0.81 ± 0.17,p= 1.30 × 10−6), subjective well-being (−0.73 ± 0.18,p= 4.89 × 10−5), general cognitive ability (−0.23 ± 0.08,p= 4.70 × 10−3) and putamen volume (−0.50 ± 0.18,p= 5.00 × 10−3). No other significant genetic correlations between anxiety disorders and psychiatric or intermediate phenotypes were observed (p> 0.05). The case–control model yielded stronger genetic effect sizes than the factor score model.ConclusionsOur findings suggest that common genetic variants underlying the risk of anxiety disorders contribute to elevated risks of MDD, SCZ, ADHD and neuroticism and reduced quality of life, putamen volume and cognitive performance. We suggest that the comorbidity of anxiety disorders is partly explained by common genetic variants.

scholarly journals Genome-wide gene expression changes in postpartum depression point towards an altered immune landscape

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Divya Mehta ◽  
Karen Grewen ◽  
Brenda Pearson ◽  
Shivangi Wani ◽  
Leanne Wallace ◽  
...  
Keyword(s):  
Gene Expression ◽  
Depressive Symptoms ◽  
Postpartum Depression ◽  
Expression Profiles ◽  
Depression Scale ◽  
Well Being ◽  
Health Concern ◽  
Genome Wide ◽  
A Genome ◽  
Genome Wide Gene Expression

AbstractMaternal postpartum depression (PPD) is a significant public health concern due to the severe negative impact on maternal and child health and well-being. In this study, we aimed to identify genes associated with PPD. To do this, we investigated genome-wide gene expression profiles of pregnant women during their third trimester of pregnancy and tested the association of gene expression with perinatal depressive symptoms. A total of 137 women from a cohort from the University of North Carolina, USA were assessed. The main phenotypes analysed were Edinburgh Postnatal Depression Scale (EPDS) scores at 2 months postpartum and PPD (binary yes/no) based on an EPDS cutoff of 10. Illumina NextSeq500/550 transcriptomic sequencing from whole blood was analysed using the edgeR package. We identified 71 genes significantly associated with postpartum depression scores at 2 months, after correction for multiple testing at 5% FDR. These included several interesting candidates including TNFRSF17, previously reported to be significantly upregulated in women with PPD and MMP8, a matrix metalloproteinase gene, associated with depression in a genome-wide association study. Functional annotation of differentially expressed genes revealed an enrichment of immune response-related biological processes. Additional analysis of genes associated with changes in depressive symptoms from recruitment to 2 months postpartum identified 66 genes significant at an FDR of 5%. Of these genes, 33 genes were also associated with depressive symptoms at 2 months postpartum. Comparing the results with previous studies, we observed that 15.4% of genes associated with PPD in this study overlapped with 700 core maternal genes that showed significant gene expression changes across multiple brain regions (P = 7.9e-05) and 29–53% of the genes were also associated with estradiol changes in a pharmacological model of depression (P values range = 1.2e-4–2.1e-14). In conclusion, we identified novel genes and validated genes previously associated with oestrogen sensitivity in PPD. These results point towards the role of an altered immune transcriptomic landscape as a vulnerability factor for PPD.

scholarly journals Exploring Age and Gender Differences in Narcissism and Perfectionism and Their Mental-Health Correlates

2021 ◽  
Vol 66 (1) ◽  
pp. 5-36
Author(s):  
Éva Kállay ◽  
Alexandra Rebeca Mihoc
Keyword(s):  
Mental Health ◽  
Gender Differences ◽  
Depressive Symptoms ◽  
Health Indicators ◽  
Well Being ◽  
Subjective Well Being ◽  
Age And Gender ◽  
Age And Gender Differences ◽  
Environmental Mastery ◽  
And Gender

"The changes occurring in modern society can significantly influence individuals’ well-being, mental health and even personality traits such as narcissism and perfectionism. Since studies investigating age and gender differences in narcissism and perfectionism have produced mixed results, and the number of studies conducted in Romanian population is scarce, the main aims of this study were to investigate possible age and gender differences in narcissism, perfectionism and several mental-health indicators in a sample of healthy participants, as well as specific association patterns between these variables within each group of participants. Our sample included 465 millennials and 149 participants over 35 years of age. The results indicate that millennials reported significantly lower levels of narcissism and self-oriented perfectionism than the older generations, higher levels of depressive symptoms and lower levels of autonomy, environmental mastery, purpose in life, and self-acceptance. Female millennials reported lower levels of narcissistic traits and higher levels of socially-prescribed perfectionism, depressive symptoms, personal growth, and positive relations with others than male participants. Older females indicated significantly higher levels of depressive symptoms and loneliness than male participants. Regarding association patterns, in the group of millennial women narcissism was positively correlated with self-oriented, socially-prescribed perfectionism and subjective well-being, and negatively with loneliness, environmental mastery and purpose in life. In millennial males, we found significant positive correlations only between narcissism and subjective well-being and environmental mastery. Our findings may have important implications for the literature regarding millennials and can contribute to the interventions and prevention programs designed to improve their well-being. Keywords: millennials, narcissism, perfectionism, mental health indicators, age and gender differences "

Effects of the Best Possible Self Activity on Subjective Well-Being and Depressive Symptoms

2016 ◽  
Vol 25 (3) ◽  
pp. 473-481 ◽  
Author(s):  
Albert K. Liau ◽  
Maureen F. Neihart ◽  
Chua Tee Teo ◽  
Chrystella H. M. Lo
Keyword(s):  
Depressive Symptoms ◽  
Well Being ◽  
Subjective Well Being

Evolution of subjective well-being in patients with schizophrenia or schizoaffective disorder. 4D study

2011 ◽  
Vol 26 (S2) ◽  
pp. 1481-1481
Author(s):  
J. Sanjuan ◽  
E. Prieto ◽  
J. Galan ◽  
B. Manuel
Keyword(s):  
Depressive Symptoms ◽  
Schizoaffective Disorder ◽  
Positive Response ◽  
Parallel Evolution ◽  
Well Being ◽  
Self Control ◽  
Clinical Relapse ◽  
Subjective Well Being ◽  
And Gender ◽  
Image Position

IntroductionThe subjective well-being has been associated with dropouts of treatment and relapses.ObjectivesDetermine baseline variables associated with a positive evolution in subjective well-being (increase of 20% and ≥10 points in subjective SWN-K). Assess the relationship between SWN-K and compliance of treatment.MethodsNon-interventional, prospective (6 moths) study of a cohort of patients with schizophrenia of schizoaffective disorders who have had a clinical relapse that required a change in therapeutic strategy.Results305 patients were included, 288 (94.4%) was the population analyzed and 272 (89.1%) completed the follow-up. 226 (78.5%) of patients have a diagnosis of schizophrenia, the rest were diagnosed of schizoaffective disorder.Mean total scores in SWN-K were statistically significant in every visit vs. baseline (69.5, 75.5, 77.8 and 80.0). All subscales (social, physical, emotional, mental and self-control) showed a parallel evolution. This progress was associated with compliance according to the evaluations by the psychiatrist, family and patient.Baseline variables associated to positive response in SWN-K in logistic regression were: gender (female) and depressive symptoms (CDSS).ConclusionsProgress in SWN-K score was related to compliance. Depressive symptoms and gender are the only variables at baseline associated with positive response in SWN-K.

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