Biogenetics plays an important role in the pathogenesis of depressive disorder in adolescents. Various genetic polymorphism studies have updated the understanding of adolescent depressive disorder. However, due to the influence of gene-environment interaction and age of puberty, the influence of gene polymorphisms on adolescent depressive disorder is complicated to clarify. Investigating and clarifying the relationship between gene polymorphisms and adolescent depressive disorder will promote the research on the pathogenesis of this disorder and provide a reference for the prevention and treatment of this disorder. This article reviews the genetic polymorphisms related to adolescent depressive disorder.
Humans ; Adolescent ; Depressive Disorder, Major/genetics* ; Polymorphism, Genetic ; Gene-Environment Interaction ; Polymorphism, Single Nucleotide ; Genetic Predisposition to Disease

Humans ; Diabetes Mellitus, Type 2/genetics* ; Gene-Environment Interaction ; Polymorphism, Single Nucleotide

OBJECTIVE: To utilized the baseline data of the Beijing Fangshan Family Cohort Study, and to estimate whether the association between a healthy lifestyle and arterial stiffness might be modified by genetic effects. METHODS: Probands and their relatives from 9 rural areas in Fangshan district, Beijing were included in this study. We developed a healthy lifestyle score based on five lifestyle behaviors: smoking, alcohol consumption, body mass index (BMI), dietary pattern, and physical activity. The measurements of arterial stiffness were brachial-ankle pulse wave velocity (baPWV) and ankle-brachial index (ABI). A variance component model was used to determine the heritability of arterial stiffness. Genotype-environment interaction effects were performed by the maximum likelihood methods. Subsequently, 45 candidate single nucleotide polymorphisms (SNPs) located in the glycolipid metabolism pathway were selected, and generalized estimated equations were used to assess the gene-environment interaction effects between particular genetic loci and healthy lifestyles. RESULTS: A total of 6 302 study subjects across 3 225 pedigrees were enrolled in this study, with a mean age of 56.9 years and 45.1% male. Heritability of baPWV and ABI was 0.360 (95%CI: 0.302-0.418) and 0.243 (95%CI: 0.175-0.311), respectively. Significant genotype-healthy diet interaction on baPWV and genotype-BMI interaction on ABI were observed. Following the findings of genotype-environment interaction analysis, we further identified two SNPs located in ADAMTS9-AS2 and CDH13 might modify the association between healthy dietary pattern and arterial stiffness, indicating that adherence to a healthy dietary pattern might attenuate the genetic risk on arterial stiffness. Three SNPs in CDKAL1, ATP8B2 and SLC30A8 were shown to interact with BMI, implying that maintaining BMI within a healthy range might decrease the genetic risk of arterial stiffness. CONCLUSION The current study discovered that genotype-healthy dietary pattern and genotype-BMI interactions might affect the risk of arterial stiffness. Furthermore, we identified five genetic loci that might modify the relationship between healthy dietary pattern and BMI with arterial stiffness. Our findings suggested that a healthy lifestyle may reduce the genetic risk of arterial stiffness. This study has laid the groundwork for future research exploring mechanisms of arterial stiffness.
Humans ; Male ; Middle Aged ; Female ; Ankle Brachial Index ; Cohort Studies ; Gene-Environment Interaction ; Vascular Stiffness/genetics* ; Pedigree ; Pulse Wave Analysis/methods* ; Genotype

BACKGROUND: There are only limited numbers of reviews on the association of maternal-child genetic polymorphisms and environmental and lifestyle-related chemical exposure during pregnancy with adverse fetal growth. Thus, this article aims to review: (1) the effect of associations between the above highlighted factors on adverse fetal growth and (2) recent birth cohort studies regarding environmental health risks. METHODS: Based on a search of the PubMed database through August 2021, 68 epidemiological studies on gene-environment interactions, focusing on the association between environmental and lifestyle-related chemical exposure and adverse fetal growth was identified. Moreover, we also reviewed recent worldwide birth cohort studies regarding environmental health risks. RESULTS: Thirty studies examined gene-smoking associations with adverse fetal growth. Sixteen maternal genes significantly modified the association between maternal smoking and adverse fetal growth. Two genes significantly related with this association were detected in infants. Moreover, the maternal genes that significantly interacted with maternal smoking during pregnancy were cytochrome P450 1A1 (CYP1A1), X-ray repair cross-complementing protein 3 (XRCC3), interleukin 6 (IL6), interleukin 1 beta (IL1B), human leukocyte antigen (HLA) DQ alpha 1 (HLA-DQA1), HLA DQ beta 1 (HLA-DQB1), and nicotinic acetylcholine receptor. Fetal genes that had significant interactions with maternal smoking during pregnancy were glutathione S-transferase theta 1 (GSTT1) and fat mass and obesity-associated protein (FTO). Thirty-eight studies examined the association between chemical exposures and adverse fetal growth. In 62 of the 68 epidemiological studies (91.2%), a significant association was found with adverse fetal growth. Across the studies, there was a wide variation in the analytical methods used, especially with respect to the genetic polymorphisms of interest, environmental and lifestyle-related chemicals examined, and the study design used to estimate the gene-environment interactions. It was also found that a consistently increasing number of European and worldwide large-scale birth cohort studies on environmental health risks have been conducted since approximately 1996. CONCLUSION There is some evidence to suggest the importance of gene-environment interactions on adverse fetal growth. The current knowledge on gene-environment interactions will help guide future studies on the combined effects of maternal-child genetic polymorphisms and exposure to environmental and lifestyle-related chemicals during pregnancy.
Alpha-Ketoglutarate-Dependent Dioxygenase FTO ; Female ; Fetal Development ; Gene-Environment Interaction ; Humans ; Life Style ; Maternal Exposure/adverse effects* ; Polymorphism, Genetic ; Pregnancy

Alzheimer Disease/genetics* ; Animals ; Apolipoprotein E4/metabolism* ; Gene-Environment Interaction ; Hippocampus/metabolism* ; Male ; Noise/adverse effects* ; Rats

The incidence of obesity in our country is increasing year by year. Diet and lifestyle interventions are the most commonly used weight loss measures, but their intervention effects are affected by individual genetics, environment and other factors. Genome-wide association analysis has found many SNPs related to weight loss, and explored the interaction between these loci and diet, intestinal flora and other environmental factors. This article summarizes the study of single nucleotide polymorphisms, the analysis of gene-environment interactions related to diet interventions for weight loss, and the multi-loci analysis and prediction models such as genetic risk scores and machine learning modeling in weight loss, which provides reference for the further application and development of the precise nutrition in medical weight loss.
Gene-Environment Interaction ; Genome-Wide Association Study ; Humans ; Life Style ; Obesity/prevention & control* ; Polymorphism, Single Nucleotide

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.
Artificial Intelligence ; Biomarkers ; Depression ; DNA Methylation ; Epigenomics ; Gene-Environment Interaction ; Histone Code ; Humans ; Machine Learning ; MicroRNAs ; Models, Animal ; Risk Factors

Cancer is a complex, heterogeneic, and dynamic disease involving multiple gene-environment interactions, and affecting numerous biological pathways. As such, the development of reliable and robust non-invasive platforms constitutes a vital step toward realizing the potential of precision medicine. Distant metastases harbor unique genomic characteristics that are not detectable in the corresponding primary tumor of the same patient, and metastases located at different sites show considerable intra-patient heterogeneity. Thus, the analysis of the resected primary tumor alone or, if possible, re-evaluation of tumor characteristics based on the biopsy of the most accessible metastasis, may not reveal sufficient information for treatment decisions. Here, we propose that this dilemma can be solved by a new diagnostic concept: liquid biopsy, that is, the analysis of therapeutic targets and drug resistance-conferring gene mutations in or on circulating tumor cells (CTCs). Finally, the analysis of the resected primary tumor alone may provide misleading information with regard to the characteristics of metastases, the key target for systemic anticancer therapy. Liquid biopsies are noninvasive tests using blood or fluids that detect CTCs or the products of tumors, such as fragments of nucleotides or proteins that are shed into biological fluids from the primary or metastatic tumors. Such biopsies are expected to be informative or easily accessible tools to provide comprehensive information regarding cancers beyond conventional biopsies. Thus, this review addresses the use of CTCs in cancer detection, diagnosis and monitoring and discusses the direction of its clinical application in cancer patient care.
Biopsy ; Diagnosis ; Early Detection of Cancer ; Gene-Environment Interaction ; Humans ; Neoplasm Metastasis ; Neoplastic Cells, Circulating ; Nucleotides ; Patient Care ; Population Characteristics ; Precision Medicine

OBJECTIVE: This study aimed to investigate whether maternal negative affectivity (MNA) moderates the effect of genetic polymorphism of SLC6A4 on behavior problems in children. METHODS: Study participants comprised 143 preschoolers and their mothers from South Korea. The Childhood Behavior Checklist and Emotionality, Activity, and Sociability adult scale were used to measure child behavior and maternal affectivity. DNA from saliva was genotyped to determine serotonin transporter polymorphism. RESULTS: MNA appeared to exert effects in externalizing (b=5.78, p<0.001) and internalizing problems (b=6.09, p< 0.001). Interaction between SLCA4 polymorphism and MNA showed effects on externalizing (b=−7.62, p<0.01) and internalizing problems (b=−9.77, p<0.01). Children with two short alleles showed considerable differences in both externalizing and internalizing problems according to MNA; however, children with one short allele or none showed relatively few differences in behavior problems due to maternal affectivity. CONCLUSION: The effect of SLC6A4 polymorphism on child behavior seemed to be moderated by MNA. In addition, the impact of MNA was found to vary based on a child’s genetic risk. High MNA may trigger the risk allele while low MNA causes the risk allele to illicit less behavior problems. Children with two short variants of the SLC6A4 gene may benefit from intervention that modulates MNA.
Adult ; Alleles ; Checklist ; Child ; Child Behavior ; DNA ; Gene-Environment Interaction ; Humans ; Korea ; Maternal Behavior ; Mothers ; Polymorphism, Genetic ; Saliva ; Serotonin Plasma Membrane Transport Proteins

BACKGROUND AND PURPOSE: Both genetic factors and smoking are associated with ischemic stroke (IS) risk. However, little is known about the potential interaction of these factors. We aimed to assess whether smoking and a positive family history interact to increase the risk of IS. METHODS: The nationwide prospective study recruited 210,000 men and 300,000 women in 2004 to 2008 at ages 30 to 79 years. During 9.7 years of follow-up, we documented 16,923 and 20,656 incident IS cases in men and women without major chronic diseases at baseline, respectively. Multivariable Cox regression models were used to examine associations between family history and IS. Likelihood ratio tests were used to test the smoking-family history interactions on IS. RESULTS: About 67.8% (n=135,168) of men ever smoked regularly compared with 2.7% (n=7,775) of women. Among men, a significant interaction between family history and smoking on IS was observed (P for interaction=0.03), with more pronounced association between family history and IS among ever-regular smokers (hazard ratio [HR], 1.21; 95% confidence interval [CI], 1.16 to 1.27) than among never-smokers (HR, 1.11; 95% CI, 1.01 to 1.23). The association between family history and IS among ex-smokers after more than 10 years of cessation (HR, 1.01; 95% CI, 0.85 to 1.20) appeared similar to that among never-smokers. Among women, a similar but not significant interaction between family history and smoking on IS was observed. Ever-regular smokers who had a family history of stroke had the highest risk of IS. CONCLUSIONS: Among Chinese men, the association of family history with IS was accentuated by smoking, and such accentuation tended to be lowered by cessation.
Asian Continental Ancestry Group ; Chronic Disease ; Cohort Studies ; Family Health ; Female ; Follow-Up Studies ; Gene-Environment Interaction ; Humans ; Male ; Prospective Studies ; Smoke ; Smoking ; Stroke ; Tobacco