ABSTRACT
Abstract Introduction The mother and child attachment could have an important and long-lasting impact. An insecure attachment could lead to emotional development difficulties. It has been suggested that maternal care in infants is associated with personality. However, more studies in adults are needed. Objective To determine if attachment styles in subjects with affective or anxiety disorders are associated with the expression of personality traits, and if this effect can be modulated by the presence of the short allele of the 5-HTTLPR polymorphism. Method Our sample included 87 patients with mood or anxiety disorders. The NEO-PI-R questionnaire and the Adult Attachment questionnaire by Melero were used. Results Insecure attachment styles were associated with a higher expression of neuroticism, and a lower expression of extraversion, conscientiousness, and agreeableness, especially in individuals with the most insecure attachment. An interaction was identified between the attachment style and the 5-HTTLPR genotype on the expression of agreeableness. Higher neuroticism, and lower extraversion and conscientiousness tended to be present in carriers of the S allele. Discussion and conclusion There was a significant association between the attachment styles and the expression of neuroticism, extraversion, agreeableness, and conscientiousness-responsibility according to the Big Five Model. The short allele may be associated with the modulation of certain aspects of personality. Prevention strategies should be established to promote adequate attachments between infants and caregivers to avoid a possible risk factor for future maladaptive personality traits.
Resumen Introducción El apego entre la madre y el hijo puede tener un impacto importante. Un apego inseguro podría afectar el desarrollo emocional. Se ha sugerido que los cuidados de la madre en la infancia temprana se asocian a la personalidad. Sin embargo, se requieren más estudios en adultos. Objetivo Determinar si los estilos de apego en personas con trastornos del afecto o ansiedad se asocian a la expresión de rasgos de personalidad y si esta expresión es modulada por la presencia del alelo corto del polimorfismo 5-HTTLPR. Método Se incluyeron 87 pacientes. Se emplearon los cuestionarios NEO-PI-R y el de Apego en el Adulto de Melero. Resultados Los estilos de apego inseguro se asociaron con una expresión mayor de neuroticismo y menor de extroversión, conciencia y amabilidad, especialmente en los individuos con el estilo de apego más inseguro. Se identificó una interacción entre el estilo de apego y el genotipo del 5-HTTLPR en la expresión de amabilidad. En los portadores del alelo corto hubo una tendencia hacia mayores valores de neuroticismo y menores niveles de extroversión y conciencia. Discusión y conclusión Los estilos de apego se asocian con la expresión de neuroticismo, extroversión, amabilidad y conciencia/responsabilidad. El alelo corto del 5-HTTLPR podría asociarse con la modulación de algunos aspectos de la personalidad. Los resultados sugieren la importancia de promover un apego adecuado entre los niños y sus cuidadores primarios para evitar posibles riesgos que se asocien con rasgos desadaptativos de la personalidad.
ABSTRACT
OBJECTIVE: Depression is associated with various environmental risk factors such as stress, childhood maltreatment experiences, and stressful life events. Current approaches to assess the pathophysiology of depression, such as epigenetics and gene-environment (GxE) interactions, have been widely leveraged to determine plausible markers, genes, and variants for the risk of developing depression. METHODS: We focus on the most recent developments for genomic research in epigenetics and GxE interactions. RESULTS: In this review, we first survey a variety of association studies regarding depression with consideration of GxE interactions. We then illustrate evidence of epigenetic mechanisms such as DNA methylation, microRNAs, and histone modifications to influence depression in terms of animal models and human studies. Finally, we highlight their limitations and future directions. CONCLUSION: In light of emerging technologies in artificial intelligence and machine learning, future research in epigenetics and GxE interactions promises to achieve novel innovations that may lead to disease prevention and future potential therapeutic treatments for depression.
Subject(s)
Humans , Artificial Intelligence , Biomarkers , Depression , DNA Methylation , Epigenomics , Gene-Environment Interaction , Histone Code , Machine Learning , MicroRNAs , Models, Animal , Risk FactorsABSTRACT
Globally, individuals with chronic diseases now consume over 80% of all healthcare resources. Set against this depressing projection is decades of epidemiologic work demonstrating that 80%-90% of cardiovascular disease can be prevented via lifestyle and dietary interventions. How can we reconcile such contrasting views toward the future of cardiovascular health in human populations? Herein, we review available sources of evidence that can be used to answer these challenging questions of how and why. In particular, we submit that analytical framework incorporating the 6P (prediction, precision, personalization, prevention, population, and policy)-3G (good food, good environment, and good behavior)-4I (interpretation, integration, implementation, and innovation) will allow us to focus resource towards the development of multi-level approaches for the betterment of population
ABSTRACT
In the more than 100 genome wide association studies (GWAS) conducted in the past 5 years, more than 250 genetic loci contributing to more than 40 common diseases and traits have been identified. Whilst many genes have been linked to a trait, both their individual and combined effects are small and unable to explain earlier estimates of heritability. Given the rapid changes in disease incidence that cannot be accounted for by changes in diagnostic practises, there is need to have well characterized exposure information in addition to genomic data for the study of gene-environment interactions. The case-control and cohort study designs are most suited for studying associations between risk factors and occurrence of an outcome. However, the case control study design is subject to several biases and hence the preferred choice of the prospective cohort study design in investigating gene-environment interactions. A major limitation of utilising the prospective cohort study design is the long duration of follow-up of participants to accumulate adequate outcome data. The GWAS paradigm is a timely reminder for traditional epidemiologists who often perform one- or few-at-a-time hypothesis-testing studies with the main hallmarks of GWAS being the agnostic approach and the massive dataset derived through large-scale international collaborations.