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 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

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

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 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 GxEsum: a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Jisu Shin ◽  
Sang Hong Lee
Keyword(s):  
Complex Traits ◽  
Error Rates ◽  
Type I ◽  
Phenotypic Variance ◽  
Environment Interaction ◽  
Summary Statistics ◽  
Gxe Interaction ◽  
Genome Wide ◽  
Scale Data ◽  
Variance Explained

AbstractGenetic variation in response to the environment, that is, genotype-by-environment interaction (GxE), is fundamental in the biology of complex traits and diseases. However, existing methods are computationally demanding and infeasible to handle biobank-scale data. Here, we introduce GxEsum, a method for estimating the phenotypic variance explained by genome-wide GxE based on GWAS summary statistics. Through comprehensive simulations and analysis of UK Biobank with 288,837 individuals, we show that GxEsum can handle a large-scale biobank dataset with controlled type I error rates and unbiased GxE estimates, and its computational efficiency can be hundreds of times higher than existing GxE methods.

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 "

scholarly journals Phenotypic Annotation: Using Polygenic Scores to Translate Discoveries From Genome-Wide Association Studies From the Top Down

2019 ◽  
Vol 28 (1) ◽  
pp. 82-90 ◽  
Author(s):  
Daniel W. Belsky ◽  
K. Paige Harden
Keyword(s):  
Educational Attainment ◽  
Association Studies ◽  
Science Research ◽  
Well Being ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Research Activities ◽  
Genome Wide ◽  
Polygenic Scores ◽  
Methodological Considerations

Genome-wide association studies (GWASs) have identified specific genetic variants associated with complex human traits and behaviors, such as educational attainment, mental disorders, and personality. However, small effect sizes for individual variants, uncertainty regarding the biological function of discovered genotypes, and potential “outside-the-skin” environmental mechanisms leave a translational gulf between GWAS results and scientific understanding that will improve human health and well-being. We propose a set of social, behavioral, and brain-science research activities that map discovered genotypes to neural, developmental, and social mechanisms and call this research program phenotypic annotation. Phenotypic annotation involves (a) elaborating the nomological network surrounding discovered genotypes, (b) shifting focus from individual genes to whole genomes, and (c) testing how discovered genotypes affect life-span development. Phenotypic-annotation research is already advancing the understanding of GWAS discoveries for educational attainment and schizophrenia. We review examples and discuss methodological considerations for psychologists taking up the phenotypic-annotation approach.

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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