scholarly journals Evocative gene‐environment correlation between genetic risk for schizophrenia and bullying victimization

2019 ◽  
Vol 18 (3) ◽  
pp. 366-367
Author(s):  
Giulio Pergola ◽  
Marco Papalino ◽  
Barbara Gelao ◽  
Leonardo Sportelli ◽  
Wilma Vollerbergh ◽  
...  
Keyword(s):  
Genetic Risk ◽  
Bullying Victimization ◽  
Gene Environment

T82EVOCATIVE GENE-ENVIRONMENT CORRELATION BETWEEN GENETIC RISK FOR SCHIZOPHRENIA AND BULLYING VICTIMIZATION

2019 ◽  
Vol 29 ◽  
pp. S259-S260
Author(s):  
Giulio Pergola ◽  
Marco Papalino ◽  
Barbara Gelao ◽  
Leonardo Sportelli ◽  
Wilma Vollerbergh ◽  
...  
Keyword(s):  
Genetic Risk ◽  
Bullying Victimization ◽  
Gene Environment

Gene–environment interplay in the etiology of psychosis

2018 ◽  
Vol 48 (12) ◽  
pp. 1925-1936 ◽  
Author(s):  
Alyson Zwicker ◽  
Eileen M. Denovan-Wright ◽  
Rudolf Uher
Keyword(s):  
Environmental Factors ◽  
Genetic Risk ◽  
Environmental Exposures ◽  
Response To Treatment ◽  
Human Potential ◽  
Specific Gene ◽  
Environment Interaction ◽  
Gene Environment ◽  
Increased Risk ◽  
The Impact

AbstractSchizophrenia and other types of psychosis incur suffering, high health care costs and loss of human potential, due to the combination of early onset and poor response to treatment. Our ability to prevent or cure psychosis depends on knowledge of causal mechanisms. Molecular genetic studies show that thousands of common and rare variants contribute to the genetic risk for psychosis. Epidemiological studies have identified many environmental factors associated with increased risk of psychosis. However, no single genetic or environmental factor is sufficient to cause psychosis on its own. The risk of developing psychosis increases with the accumulation of many genetic risk variants and exposures to multiple adverse environmental factors. Additionally, the impact of environmental exposures likely depends on genetic factors, through gene–environment interactions. Only a few specific gene–environment combinations that lead to increased risk of psychosis have been identified to date. An example of replicable gene–environment interaction is a common polymorphism in theAKT1gene that makes its carriers sensitive to developing psychosis with regular cannabis use. A synthesis of results from twin studies, molecular genetics, and epidemiological research outlines the many genetic and environmental factors contributing to psychosis. The interplay between these factors needs to be considered to draw a complete picture of etiology. To reach a more complete explanation of psychosis that can inform preventive strategies, future research should focus on longitudinal assessments of multiple environmental exposures within large, genotyped cohorts beginning early in life.

Discoveries in gene-environment interactions that influence CVD, lipid traits, obesity, diabetes, and hypertension appear to be able to influence gene therapy.

2021 ◽  
Author(s):  
Moataz Dowaidar
Keyword(s):  
Gene Therapy ◽  
Genetic Risk ◽  
Environmental Influences ◽  
Biological Processes ◽  
Significant Progress ◽  
Therapy Outcomes ◽  
Genetic Therapy ◽  
Clinical Genetic ◽  
Gene Environment ◽  
Made In

In a relatively short amount of time, significant progress has been made in discovering gene-environment interactions that influence CVD, lipid traits, obesity, diabetes, and hypertension. These correlations appear to change genetic vulnerability, which may help researchers better understand the genetic processes that influence CVD development in the future. In order to advance the field, further research is required to confirm initial comparisons, identify the biological processes by which environmental influences modify genetic risk, and investigate strategies that use this knowledge to influence clinical genetic therapy outcomes.

scholarly journals Parkinson’s disease determinants, prediction and gene–environment interactions in the UK Biobank

2020 ◽  
Vol 91 (10) ◽  
pp. 1046-1054 ◽  
Author(s):  
Benjamin Meir Jacobs ◽  
Daniel Belete ◽  
Jonathan Bestwick ◽  
Cornelis Blauwendraat ◽  
Sara Bandres-Ciga ◽  
...  
Keyword(s):  
Risk Factors ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Family History ◽  
Genetic Risk ◽  
Positive Family History ◽  
Risk Scores ◽  
Uk Biobank ◽  
Gene Environment ◽  
History Of

ObjectiveTo systematically investigate the association of environmental risk factors and prodromal features with incident Parkinson’s disease (PD) diagnosis and the interaction of genetic risk with these factors. To evaluate whether existing risk prediction algorithms are improved by the inclusion of genetic risk scores.MethodsWe identified individuals with an incident diagnosis of PD (n=1276) and controls (n=500 406) in UK Biobank. We determined the association of risk factors with incident PD using adjusted logistic regression models. We constructed polygenic risk scores (PRSs) using external weights and selected the best PRS from a subset of the cohort (30%). The PRS was used in a separate testing set (70%) to examine gene–environment interactions and compare predictive models for PD.ResultsStrong evidence of association (false discovery rate <0.05) was found between PD and a positive family history of PD, a positive family history of dementia, non-smoking, low alcohol consumption, depression, daytime somnolence, epilepsy and earlier menarche. Individuals with the highest 10% of PRSs had increased risk of PD (OR 3.37, 95% CI 2.41 to 4.70) compared with the lowest risk decile. A higher PRS was associated with earlier age at PD diagnosis and inclusion of the PRS in the PREDICT-PD algorithm led to a modest improvement in model performance. We found evidence of an interaction between the PRS and diabetes.InterpretationHere, we used UK Biobank data to reproduce several well-known associations with PD, to demonstrate the validity of a PRS and to demonstrate a novel gene–environment interaction, whereby the effect of diabetes on PD risk appears to depend on background genetic risk for PD.

scholarly journals Gene–environment correlation in the development of adolescent substance abuse: Selection effects of child personality and mediation via contextual risk factors

2013 ◽  
Vol 25 (1) ◽  
pp. 119-132 ◽  
Author(s):  
Brian M. Hicks ◽  
Wendy Johnson ◽  
C. Emily Durbin ◽  
Daniel M. Blonigen ◽  
William G. Iacono ◽  
...  
Keyword(s):  
Substance Abuse ◽  
High Risk ◽  
Genetic Risk ◽  
Social Engagement ◽  
Developmental Trajectory ◽  
Selection Effects ◽  
Adolescent Substance Abuse ◽  
Adolescent Substance ◽  
Contextual Risk ◽  
Gene Environment

AbstractWe used a longitudinal twin design to examine selection effects of personality traits at age 11 on high-risk environmental contexts at age 14 and the extent to which these contexts mediated risk for substance abuse at age 17. Socialization at age 11 (willingness to follow rules and endorse conventional values) predicted exposure to contextual risk at age 14. Contextual risk partially mediated the effect of socialization on substance abuse, though socialization also had a direct effect. In contrast, boldness at age 11 (social engagement and assurance, thrill seeking, and stress resilience) also predicted substance abuse directly but was unrelated to contextual risk. There was substantial overlap in the genetic and shared environmental influences on socialization and contextual risk, and genetic risk in socialization contributed to substance abuse indirectly via increased exposure to contextual risk. This suggests that active gene–environment correlations related to individual differences in socialization contributed to an early, high-risk developmental trajectory for adolescent substance abuse. In contrast, boldness appeared to index an independent and direct genetic risk factor for adolescent substance abuse.

Gene-Gene and Gene-Environment Interactions Determine Risk of Thrombosis in Families With Inherited Antithrombin Deficiency

Blood ◽  
1999 ◽  
Vol 94 (8) ◽  
pp. 2590-2594 ◽  
Author(s):  
H.H. van Boven ◽  
J.P. Vandenbroucke ◽  
E. Briët ◽  
F.R. Rosendaal
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Venous Thromboembolism ◽  
Genetic Risk ◽  
Factor V Leiden ◽  
Genetic Defects ◽  
Factor V ◽  
Antithrombin Deficiency ◽  
Gene Environment ◽  
Genetic And Environmental Factors

To analyze inherited antithrombin deficiency as a risk factor for venous thromboembolism in various conditions with regard to the presence or absence of additional genetic or acquired risk factors, we compared 48 antithrombin-deficient individuals with 44 nondeficient individuals of 14 selected families with inherited antithrombin deficiency. The incidence of venous thromboembolism for antithrombin deficient individuals was 20 times higher than among nondeficient individuals (1.1% v 0.05% per year). At the age of 50 years, greater than 50% of antithrombin-deficient individuals had experienced thrombosis compared with 5% of nondeficient individuals. Additional genetic risk factors, Factor V Leiden and PT20210A, were found in more than half of these selected families. The effect of exposure to 2 genetic defects was a 5-fold increased incidence (4.6% per year; 95% confidence interval [CI], 1.9% to 11.1%). Acquired risk factors were often present, determining the onset of thrombosis. The incidence among those with exposure to antithrombin deficiency and an acquired risk factor was increased 20-fold (20.3% per year; 95% CI, 12.0% to 34.3%). In conclusion, in these thrombophilia families, the genetic and environmental factors interact to bring about venous thrombosis. Inherited antithrombin deficiency proves to be a prominent risk factor for venous thromboembolism. The increased risks among those with exposure to acquired risk factors should be considered and adequate prophylactic anticoagulant therapy in high-risk situations seems indicated in selected families with inherited antithrombin deficiency.

scholarly journals Genetic Risk for Schizophrenia, Obstetric Complications, and Adolescent School Outcome: Evidence for Gene-Environment Interaction

2012 ◽  
Vol 39 (5) ◽  
pp. 1067-1076 ◽  
Author(s):  
Jennifer K. Forsyth ◽  
Lauren M. Ellman ◽  
Antti Tanskanen ◽  
Ulla Mustonen ◽  
Matti O. Huttunen ◽  
...  
Keyword(s):  
Genetic Risk ◽  
Obstetric Complications ◽  
Environment Interaction ◽  
Gene Environment Interaction ◽  
Gene Environment ◽  
School Outcome

scholarly journals The effects of polygenic risk for psychiatric disorders and smoking behaviour on psychotic experiences in UK Biobank

2019 ◽  
Author(s):  
Judit García-González ◽  
Julia Ramírez ◽  
David M. Howard ◽  
Caroline H Brennan ◽  
Patricia B. Munroe ◽  
...  
Keyword(s):  
Psychiatric Disorders ◽  
Genetic Risk ◽  
Maternal Smoking ◽  
Smoking Status ◽  
Smoking Behaviour ◽  
Environment Interaction ◽  
Uk Biobank ◽  
Psychotic Experiences ◽  
Gene Environment Interaction ◽  
Gene Environment

ABSTRACTWhile psychotic experiences are core symptoms of mental health disorders like schizophrenia, they are also reported by 5-10% of the population. Both smoking behaviour and genetic risk for psychiatric disorders have been associated with psychotic experiences, but the interplay between these factors remains poorly understood. We tested whether smoking status, maternal smoking around birth, and number of packs smoked/year were associated with lifetime occurrence of three psychotic experiences phenotypes: delusions (n=2067), hallucinations (n=6689), and any psychotic experience (delusions or hallucinations; n=7803) in 144818 UK Biobank participants. We next calculated polygenic risk scores for schizophrenia (PRSSCZ), major depression (PRSDEP) and attention deficit hyperactivity disorder (PRSADHD) in the UK Biobank participants to assess whether association between smoking and psychotic experiences was attenuated after adjustment of diagnosis of psychiatric disorders and the PRSs. Finally, we investigated whether smoking exacerbates the effects of genetic predisposition on the psychotic phenotypes in gene-environment interaction models. Smoking status, maternal smoking, and number of packs smoked/year were significantly associated with psychotic experiences (p<1.77×10−5). Except for packs smoked/year, effects were attenuated but remained significant after adjustment for diagnosis of psychiatric disorders and PRSs (p<1.99×10−3). Gene-environment interaction models showed the effects of PRSDEP and PRSADHD(but not PRSSCZ) on delusions (but not hallucinations) were significantly greater in current smokers compared to never smokers (p<0.0028). There were no significant gene-environment interactions for maternal smoking nor for number of packs smoked/year. Our results suggest that both genetic risk of psychiatric disorders and smoking status may have independent and synergistic effects on specific types of psychotic experiences.

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