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Genetic and environmental contributions to psychological resilience and coping.

ABSTRACT: Background: Twin studies indicate that genetic and environmental factors contribute to both psychological resilience and coping style, but estimates of their relative molecular and shared environmental contributions are limited. The degree of overlap in the genetic architectures of these traits is also unclear. Methods: Using data from a large population- and family-based cohort Generation Scotland (N = 8,734), we estimated the genetic and shared environmental variance components for resilience, task-, emotion-, and avoidance-oriented coping style in a linear mixed model (LMM). Bivariate LMM analyses were used to estimate the genetic correlations between these traits. Resilience and coping style were measured using the Brief Resilience Scale and Coping Inventory for Stressful Situations, respectively. Results: The greatest proportion of the phenotypic variance in resilience remained unexplained, although significant contributions from common genetic variants and family-shared environment were found. Both task- and avoidance-oriented coping had significant contributions from common genetic variants, sibling- and couple-shared environments, variance in emotion-oriented coping was attributable to common genetic variants, family- and couple-shared environments. The estimated correlation between resilience and emotion-oriented coping was high for both common-variant-associated genetic effects (r _G = -0.79, se = 0.19), and for the additional genetic effects from the pedigree (r _K = -0.94, se = 0.30). Genetic correlations between resilience and task- and avoidance-oriented coping did not meet statistical significance. Conclusions: Both genetics and shared environmental effects were major contributing factors to coping style, whilst the variance in resilience remains largely unexplained. Strong genetic overlap between resilience and emotion-oriented coping suggests a relationship whereby genetic factors that increase negative emotionality also lead to decreased resilience. We suggest that genome-wide family-based studies of resilience and coping may help to elucidate tractable methodologies to identify genetic architectures and modifiable environmental risk factors to protect against psychiatric illness, although further work with larger sample sizes is needed.

SUBMITTER: Navrady LB

PROVIDER: S-EPMC6192447 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Genetic and environmental contributions to psychological resilience and coping.

Navrady Lauren B LB Zeng Yanni Y Clarke Toni-Kim TK Adams Mark J MJ Howard David M DM Deary Ian J IJ McIntosh Andrew M AM

Wellcome open research 20180215

<b>Background:</b> Twin studies indicate that genetic and environmental factors contribute to both psychological resilience and coping style, but estimates of their relative molecular and shared environmental contributions are limited. The degree of overlap in the genetic architectures of these traits is also unclear. <b>Methods:</b> Using data from a large population- and family-based cohort Generation Scotland (N = 8,734), we estimated the genetic and shared environmental variance components f ...[more]

PMID: 30345373

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Project description:BackgroundPsychological resilience and coping strategies have been found to be related to various psychological and mental health problems. Evaluations of the relationship between resilience and coping style among university students are important for developing effective health promotion strategies focused on resilience intervention to benefit students' health and well-being. The relationship between psychological resilience and coping styles has usually been examined among adults and patients. Very few studies have investigated the relationship between resilience and coping style in university students. The present study aimed to investigate the associations between psychological resilience, students' characteristics (gender, major and grade) and coping styles among undergraduate students.MethodsA cross-sectional survey was conducted among undergraduate students in Shandong Province, China. Undergraduate students were randomly selected from 6 universities in 3 cities of the province using a stratified random sampling method. The questionnaire included questions on the participants' demographic information, including gender, grade and major, measures of psychological resilience and coping style. Coping style was measured by the Simplified Coping Style Questionnaire (SCSQ). The Asian Resilience Scale (ARS) was applied to evaluate undergraduates' psychological resilience. Multivariable regression analysis was used to examine the relationships between resilience, students' characteristics and positive coping styles.ResultsA sample of 1743 undergraduates was analysed. The mean psychological resilience score was 70.41. The mean score for positive coping style was 24.72. Multiple regression analysis showed that three factors of psychological resilience, mood control, self-plasticity and coping flexibility, were all significant factors for positive coping styles (regression coefficient = 0.34, 0.35, 0.14, p < 0.01 for the three factors, respectively). Medical students and females had higher scores for positive coping styles than non-medical students and males (p < 0.01).ConclusionsThe research revealed that females and medical students are more likely than males and non-medical students to adopt positive coping styles. Higher psychological resilience is associated with a better positive coping style. The findings suggest that psychological education and health promotion programmes that target strengthening psychological resilience among undergraduate students may help foster positive coping styles to benefit their mental health and psychological well-being.

Project description:Although abnormal accumulation of amyloid in the brain is an early biomarker of Alzheimer's disease (AD), wide variation in cognitive trajectories during life can be seen in the setting of brain amyloidosis, ranging from maintenance of normal function to progression to dementia. It is widely presumed that cognitive resilience (i.e., coping) to amyloidosis may be influenced by environmental, lifestyle, and inherited factors, but relatively little in specifics is known about this architecture. Here, we leveraged multimodal longitudinal data from a large, population-based sample of older adults to discover genetic factors associated with differential cognitive resilience to brain amyloidosis determined by positron emission tomography (PET). Among amyloid-PET positive older adults, the AD risk allele APOE ɛ4 was associated with worse longitudinal memory trajectories as expected, and was thus covaried in the main analyses. Through a genome-wide association study (GWAS), we uncovered a novel association with cognitive resilience on chromosome 8 at the MTMR7/CNOT7/ZDHHC2/VPS37A locus (p = 4.66 × 10-8, β = 0.23), and demonstrated replication in an independent cohort. Post-hoc analyses confirmed this association as specific to the setting of elevated amyloid burden and not explained by differences in tau deposition or cerebrovascular disease. Complementary gene-based analyses and publically available functional data suggested that the causative variant at this locus may tag CNOT7 (CCR4-NOT Transcription Complex Subunit 7), a gene linked to synaptic plasticity and hippocampal-dependent learning and memory. Pathways related to cell adhesion and immune system activation displayed enrichment of association in the GWAS. Our findings, resulting from a unique study design, support the hypothesis that genetic heterogeneity is one of the factors that explains differential cognitive resilience to brain amyloidosis. Further characterization of the underlying biological mechanisms influencing cognitive resilience may facilitate improved prognostic counseling, therapeutic application, and trial enrollment in AD.

Project description:BACKGROUND:The variation and covariation for many cardiometabolic traits have been decomposed into genetic and environmental fractions, by using twin or single-nucleotide polymorphism (SNP) models. However, differences in population, age, sex, and other factors hamper the comparison between twin- and SNP-based estimates. METHODS AND RESULTS:Twenty-four cardiometabolic traits and 700,000 genotyped SNPs were available in the study base of 10 682 twins from TwinGene cohort. For the 27 highly correlated pairs (absolute phenotypic correlation coefficient ?0.40), twin-based bivariate structural equation models were performed in 3870 complete twin pairs, and SNP-based bivariate genomic relatedness matrix restricted maximum likelihood methods were performed in 5779 unrelated individuals. In twin models, the model including additive genetic variance and unique/nonshared environmental variance was the best-fitted model for 7 pairs (5 of them were between blood pressure traits); the model including additive genetic variance, common/shared environmental variance, and unique/nonshared environmental variance components was best fitted for 4 pairs, but estimates of shared environment were close to zero; and the model including additive genetic variance, dominant genetic variance, and unique/nonshared environmental variance was best fitted for 16 pairs, in which significant dominant genetic effects were identified for 13 pairs (including all 9 obesity-related pairs). However, SNP models did not identify significant estimates of dominant genetic effects for any pairs. In the paired t test, twin- and SNP-based estimates of additive genetic correlation were not significantly different (both were 0.67 on average), whereas the nonshared environmental correlations from these 2 models differed slightly from each other (on average, twin-based estimate=0.64 and SNP-based estimate=0.68). CONCLUSIONS:Beside additive genetic effects and nonshared environment, nonadditive genetic effects (dominance) also contribute to the covariation between certain cardiometabolic traits (especially for obesity-related pairs); contributions from the shared environment seem to be weak for their covariation in TwinGene samples.

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Genetic and environmental contributions to psychological resilience and coping.

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Genetic and environmental contributions to psychological resilience and coping.

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