scholarly journals Mental Health, Schooling Attainment and Polygenic Scores: Are There Significant Gene-Environment Associations?

2019 ◽  
Author(s):  
Vikesh Amin ◽  
Jere Behrman ◽  
Jason M. Fletcher ◽  
Carlos A. Flores ◽  
Alfonso Flores-Lagunes ◽  
...  
Keyword(s):  
Mental Health ◽  
Gene Environment ◽  
Polygenic Scores ◽  
Significant Gene

scholarly journals Genetic predispositions moderate the effectiveness of tobacco excise taxes

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259210
Author(s):  
Eric A. W. Slob ◽  
Cornelius A. Rietveld
Keyword(s):  
Genetic Predisposition ◽  
Smoking Behavior ◽  
State Level ◽  
Tobacco Consumption ◽  
Environment Interaction ◽  
Gene Environment Interaction ◽  
Excise Taxes ◽  
Gene Environment ◽  
Polygenic Scores ◽  
Significant Gene

Background Tobacco consumption is one of the leading causes of preventable death. In this study, we analyze whether someone’s genetic predisposition to smoking moderates the response to tobacco excise taxes. Methods We interact polygenic scores for smoking behavior with state-level tobacco excise taxes in longitudinal data (1992-2016) from the US Health and Retirement Study (N = 12,058). Results Someone’s genetic propensity to smoking moderates the effect of tobacco excise taxes on smoking behavior along the extensive margin (smoking vs. not smoking) and the intensive margin (the amount of tobacco consumed). In our analysis sample, we do not find a significant gene-environment interaction effect on smoking cessation. Conclusions When tobacco excise taxes are relatively high, those with a high genetic predisposition to smoking are less likely (i) to smoke, and (ii) to smoke heavily. While tobacco excise taxes have been effective in reducing smoking, the gene-environment interaction effects we observe in our sample suggest that policy makers could benefit from taking into account the moderating role of genes in the design of future tobacco control policies.

scholarly journals Mental Health, Schooling Attainment and Polygenic Scores: Are There Significant Gene-Environment Associations?

2019 ◽  
Author(s):  
Vikesh Amin ◽  
Jere R. Behrman ◽  
Jason M. Fletcher ◽  
Carlos A. Flores ◽  
Alfonso Flores-Lagunes ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Statistical Power ◽  
College Education ◽  
Add Health ◽  
Fixed Effect ◽  
Older Individuals ◽  
Gene Environment ◽  
Polygenic Scores

AbstractIt is well-established that (1) there is a large genetic component to mental health, and (2) higher schooling attainment is associated with better mental health. Given these two observations, we test the hypothesis that schooling may attenuate the genetic predisposition to poor mental health. Specifically, we estimate associations between a polygenic score (PGS) for depressive symptoms, schooling attainment and gene-environment (GxE) interactions with mental health (depressive symptoms and depression), in two distinct United States datasets at different adult ages-29 years old in the National Longitudinal Study of Adolescent Health (Add Health) and 54 years old in the Wisconsin Longitudinal Study (WLS). OLS results indicate that the association of the PGS with mental health is similar in Add Health and the WLS, but the association of schooling attainment is much larger in Add Health than in the WLS. There is some suggestive evidence that the association of the PGS with mental health is lower for more-schooled older individuals in the WLS, but there is no evidence of any significant GxE associations in Add Health. Quantile regression estimates also show that in the WLS the GxE associations are statistically significant only in the upper parts of the conditional depressive symptoms score distribution. We assess the robustness of the OLS results to omitted variable bias by using the siblings samples in both datasets to estimate sibling fixed-effect regressions. The sibling fixed-effect results must be qualified, in part due to low statistical power. However, the sibling fixed-effect estimates show that college education is associated with fewer depressive symptoms in both datasets.

scholarly journals Genetic Risk for Smoking: Disentangling Interplay Between Genes and Socioeconomic Status

2021 ◽  
Author(s):  
Joëlle A. Pasman ◽  
Perline A. Demange ◽  
Sinan Guloksuz ◽  
A. H. M. Willemsen ◽  
Abdel Abdellaoui ◽  
...  
Keyword(s):  
Mental Health ◽  
Socioeconomic Status ◽  
The Netherlands ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Genetic Liability ◽  
Neighborhood Socioeconomic Status ◽  
Gene Environment ◽  
Genome Wide ◽  
Polygenic Scores

AbstractThis study aims to disentangle the contribution of genetic liability, educational attainment (EA), and their overlap and interaction in lifetime smoking. We conducted genome-wide association studies (GWASs) in UK Biobank (N = 394,718) to (i) capture variants for lifetime smoking, (ii) variants for EA, and (iii) variants that contribute to lifetime smoking independently from EA (‘smoking-without-EA’). Based on the GWASs, three polygenic scores (PGSs) were created for individuals from the Netherlands Twin Register (NTR, N = 17,805) and the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2, N = 3090). We tested gene–environment (G × E) interactions between each PGS, neighborhood socioeconomic status (SES) and EA on lifetime smoking. To assess if the PGS effects were specific to smoking or had broader implications, we repeated the analyses with measures of mental health. After subtracting EA effects from the smoking GWAS, the SNP-based heritability decreased from 9.2 to 7.2%. The genetic correlation between smoking and SES characteristics was reduced, whereas overlap with smoking traits was less affected by subtracting EA. The PGSs for smoking, EA, and smoking-without-EA all predicted smoking. For mental health, only the PGS for EA was a reliable predictor. There were suggestions for G × E for some relationships, but there were no clear patterns per PGS type. This study showed that the genetic architecture of smoking has an EA component in addition to other, possibly more direct components. PGSs based on EA and smoking-without-EA had distinct predictive profiles. This study shows how disentangling different models of genetic liability and interplay can contribute to our understanding of the etiology of smoking.

scholarly journals Mental Health, Schooling Attainment and Polygenic Scores: Are There Significant Gene-Environment Associations?

2019 ◽  
Author(s):  
Vikesh Amin ◽  
Jason Fletcher ◽  
Jere Behrman ◽  
Carlos A Flores ◽  
Carlos A Flores ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Statistical Power ◽  
College Education ◽  
Add Health ◽  
Fixed Effect ◽  
Older Individuals ◽  
Gene Environment ◽  
Polygenic Scores

It is well-established that (1) there is a large genetic component to mental health, and (2) higher schooling attainment is associated with better mental health. Given these two observations, we test the hypothesis that schooling may attenuate the genetic predisposition to poor mental health. Specifically, we estimate associations between a polygenic score (PGS) for depressive symptoms, schooling attainment and gene-environment (GxE) interactions with mental health (depressive symptoms and depression), in two distinct United States datasets at different adult ages- 29 years old in the National Longitudinal Study of Adolescent Health (Add Health) and 54 years old in the Wisconsin Longitudinal Study (WLS). OLS results indicate that the association of the PGS with mental health is similar in Add Health and the WLS, but the association of schooling attainment is much larger in Add Health than in the WLS. There is some suggestive evidence that the association of the PGS with mental health is lower for more-schooled older individuals in the WLS, but there is no evidence of any significant GxE associations in Add Health. Quantile regression estimates also show that in the WLS the GxE associations are statistically significant only in the upper parts of the conditional depressive symptoms score distribution. We assess the robustness of the OLS results to omitted variable bias by using the siblings samples in both datasets to estimate sibling fixed-effect regressions. The sibling fixed-effect results must be qualified, in part due to low statistical power. However, the sibling fixed-effect estimates show that college education is associated with fewer depressive symptoms in both datasets.

scholarly journals Differential vulnerability to neighbourhood disorder: a gene×environment interaction study

2019 ◽  
Vol 73 (5) ◽  
pp. 388-392 ◽  
Author(s):  
Jennifer Williams Robinette ◽  
Jason D Boardman ◽  
Eileen M Crimmins
Keyword(s):  
Genetic Risk ◽  
Chronic Health Condition ◽  
Health Condition ◽  
Environment Interaction ◽  
Gene Environment Interaction ◽  
Gene Environment ◽  
Increased Risk ◽  
Polygenic Scores ◽  
Significant Gene ◽  
Neighbourhood Disorder

BackgroundType 2 diabetes (T2D) is preventable, it is increasing in prevalence and it is a major risk factor for morbidity and mortality. Importantly, residents of neighbourhoods with high levels of disorder are more likely to develop T2D than those living in less disordered neighbourhoods and neighbourhood disorder may exacerbate genetic risk for T2D.MethodWe use genetic, self-reported neighbourhood, and health data from the Health and Retirement Study. We conducted weighted logistic regression analyses in which neighbourhood disorder, polygenic scores for T2D and their interaction predicted T2D.ResultsGreater perceptions of neighbourhood disorder (OR=1.11, p<0.001) and higher polygenic scores for T2D (OR=1.42, p<0.001) were each significantly and independently associated with an increased risk of T2D. Furthermore, living in a neighbourhood perceived as having high levels of disorder exacerbated genetic risk for T2D (OR=1.10, p=0.001). This significant gene×environment interaction was observed after adjusting for years of schooling, age, gender, levels of physical activity and obesity.ConclusionFindings in the present study suggested that minimising people’s exposure to vandalism, vacant buildings, trash and circumstances viewed by residents as unsafe may reduce the burden of this prevalent chronic health condition, particularly for subgroups of the population who carry genetic liability for T2D.

scholarly journals Effects of the association between APOE rs405509 polymorphisms and gene-environment interactions on hand grip strength among middle-aged and elderly people in a rural population in southern China

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Haoyu He ◽  
Huaxiang Lu ◽  
Shuzhen Liu ◽  
Jiansheng Cai ◽  
Xu Tang ◽  
...  
Keyword(s):  
Grip Strength ◽  
Elderly People ◽  
Rural Population ◽  
Southern China ◽  
Hand Grip Strength ◽  
Environment Interaction ◽  
Middle Aged ◽  
Hand Grip ◽  
Gene Environment ◽  
Significant Gene

Abstract Background Hand grip strength is a complex phenotype. The current study aimed to identify the effects of the association between APOE rs405509 polymorphisms and gene-environment interactions on hand grip strength among middle-aged and elderly people in a rural population in Gongcheng, southern China. Methods APOE rs405509 polymorphisms in 1724 participants (695 men and 1029 women, aged 45–97 years old) were genotyped using the Sequenom MassARRAY platform. Statistical analysis was conducted using SPSS 21.0 and Plink 1.90. Results The APOE rs405509 G allele was associated with lower hand grip strength in all participants (β = −1.04, P value <0.001), and the correlation seemed to be even stronger among women. A significant gene-environment interaction was observed between APOE rs405509 and smoking, especially in men. The hand grip strength of male smokers carrying the GG genotype was significantly higher than that of nonsmokers (P value = 0.004). Conclusions APOE rs405509 polymorphisms might be genetic factors that affect hand grip strength in a rural population in Gongcheng, southern China. The APOE rs405509-smoking interaction has an impact on hand grip strength.

scholarly journals The genetic background of the associations between sense of coherence and mental health, self-esteem and personality

2021 ◽  
Author(s):  
Karri Silventoinen ◽  
Eero Vuoksimaa ◽  
Salla-Maarit Volanen ◽  
Teemu Palviainen ◽  
Richard J. Rose ◽  
...  
Keyword(s):  
Mental Health ◽  
Sense Of Coherence ◽  
Genetic Factors ◽  
Well Being ◽  
Self Esteem ◽  
Risk Tolerance ◽  
Personality Factors ◽  
Life Questionnaire ◽  
Psychological Traits ◽  
Polygenic Scores

Abstract Purpose Sense of coherence (SOC) represents coping and can be considered an essential component of mental health. SOC correlates with mental health and personality, but the background of these associations is poorly understood. We analyzed the role of genetic factors behind the associations of SOC with mental health, self-esteem and personality using genetic twin modeling and polygenic scores (PGS). Methods Information on SOC (13-item Orientation of Life Questionnaire), four mental health indicators, self-esteem and personality (NEO Five Factor Inventory Questionnaire) was collected from 1295 Finnish twins at 20–27 years of age. Results In men and women, SOC correlated negatively with depression, alexithymia, schizotypal personality and overall mental health problems and positively with self-esteem. For personality factors, neuroticism was associated with weaker SOC and extraversion, agreeableness and conscientiousness with stronger SOC. All these psychological traits were influenced by genetic factors with heritability estimates ranging from 19 to 66%. Genetic and environmental factors explained these associations, but the genetic correlations were generally stronger. The PGS of major depressive disorder was associated with weaker, and the PGS of general risk tolerance with stronger SOC in men, whereas in women the PGS of subjective well-being was associated with stronger SOC and the PGSs of depression and neuroticism with weaker SOC. Conclusion Our results indicate that a substantial proportion of genetic variation in SOC is shared with mental health, self-esteem and personality indicators. This suggests that the correlations between these traits reflect a common neurobiological background rather than merely the influence of external stressors.

Complex Phenotypes and the Use of Polygenic Scores to Investigate Gene × Environment Interactions for Substance Use

2016 ◽  
Author(s):  
Michael Windle
Keyword(s):  
Candidate Gene ◽  
First Generation ◽  
Candidate Gene Approach ◽  
Sample Sizes ◽  
Complex Phenotypes ◽  
Gene Environment ◽  
Polygenic Scores ◽  
Visual Frame ◽  
The Many ◽  
Meta Analyses

The chapter suggests the need of a “second-generation” candidate gene approach to adapt to first-generation limitations and to strengthen efforts to study GE interactions. The sample sizes associated with many phenotypes and areas of study in the literature (e.g., clinical trials, neuroimaging studies) are unlikely to yield sample sizes in the area of GWA and NGS studies (i.e., 200,000-300,000 participants). However, by building upon prior limitations in the candidate gene literature, using findings from GWA and NGS studies and meta-analyses, using multiple methods of analyses (e.g., gene expression analysis; methylation analysis), and using theory and prior substantive research to guide hypothesis testing, progress can be made on G X E interactions for complex phenotypes. Several illustrative path models were provided in this chapter to provide a visual frame for how we have approached G X E interactions in the past, and how, going forward, we might proceed to investigate multiple polygenic by multiple environmental models. This level of complexity may be necessary to advance the field to address the many exciting research questions of interest, as well as the challenges that confront us as we attempt to move this knowledge from discovery to practice.

scholarly journals Interaction between ELMO1 gene polymorphisms and environment factors on susceptibility to diabetic nephropathy in Chinese Han population

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Yi Hou ◽  
Yong Gao ◽  
Yan Zhang ◽  
Si-Tong Lin ◽  
Yue Yu ◽  
...  
Keyword(s):  
Diabetic Nephropathy ◽  
Alcohol Drinking ◽  
Control Group ◽  
Environment Interaction ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Gene Environment Interaction ◽  
Gene Environment ◽  
Increased Risk ◽  
Significant Gene

Abstract Background The association of diabetic nephropathy (DN) risk with single nucleotide polymorphisms (SNPs) within Engulfment and Cell Motility 1 (ELMO1) gene and gene–environment synergistic effect have not been extensively examined in, therefore, the purpose of this study is to explore the association between multiple SNPs in ELMO1 gene, and the relationship between gene–environment synergy effect and the risk of DN. Methods Genotyping for 4 SNPs was performed with polymerase chain reaction (PCR) and following restriction fragment length polymorphism (RFLP) methods. Hardy–Weinberg balance of the control group was tested by SNPstats (online software: http://bioinfo.iconologia.net/snpstats). The best combination of four SNPs of ELMO1 gene and environmental factors was screened by GMDR model. Logistic regression was used to calculating the OR values between different genotypes of ELMO1 gene and DN. Results The rs741301-G allele and the rs10255208-GG genotype were associated with an increased risk of DN risk, adjusted ORs (95% CI) were 1.75 (1.19–2.28) and 1.41 (1.06–1.92), respectively, both p-values were < 0.001. We also found that the others SNPs-rs1345365 and rs7782979 were not significantly associated with susceptibility to DN. GMDR model found a significant gene–alcohol drinking interaction combination (p = 0.0107), but no significant gene–hypertension interaction combinations. Alcohol drinkers with rs741301-AG/GG genotype also have the highest DN risk, compared to never drinkers with rs741301-AA genotype, OR (95% CI) 3.52 (1.93–4.98). Conclusions The rs741301-G allele and the rs10255208-GG genotype, gene–environment interaction between rs741301 and alcohol drinking were all associated with increased DN risk.

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