Association between methyl-CpG-binding domain protein 5 gene and depressive symptoms in Mexican population: Results from MxGDAR/Encodat cohort.

Objective: To explore the association between 75 candidate genes previously reported in subjects with anxiety symptoms (AS) and depressive symptoms (DS) in a Mexican cohort.

Methods: The sample included 2012 individuals from the Mexican Genomic Database for Addiction Research (MxGDAR/Encodat) cohort, 198 showed AS, 266 DS, 66 anxiety and depressive symptoms (ADS), and 1482 healthy controls. The DI-PAD screening questionnaire was used to evaluate lifetime AS and DS.

Phenome-Wide Association Study of Latent Autoimmune Diabetes from a Southern Mexican Population Implicates rs7305229 with Plasmatic Anti-Glutamic Acid Decarboxylase Autoantibody (GADA) Levels.

Latent autoimmune diabetes in adults (LADA) is characterized by the presence of glutamate decarboxylase autoantibodies (GADA). LADA has intermediate features between type 1 diabetes and type 2 diabetes. In addition, genetic risk factors for both types of diabetes are present in LADA.

Exploring the relationship between admixture and genetic susceptibility to attention deficit hyperactivity disorder in two Latin American cohorts.

Contemporary research on the genomics of Attention Deficit Hyperactivity Disorder (ADHD) often underrepresents admixed populations of diverse genomic ancestries, such as Latin Americans. This study explores the relationship between admixture and genetic associations for ADHD in Colombian and Mexican cohorts. Some 546 participants in two groups, ADHD and Control, were genotyped with Infinium PsychArray®.

Associated factors to non-medical and medical use of psychoactive medication among Mexican adolescents and adults in a national household survey.

Background: Non-medical use of psychoactive medication is a public health problem. Studies in other contexts indicate that individual sociodemographic characteristics are associated with non-medical use, but these associations have not been assessed in the Mexican context.

Objectives: To estimate the prevalence non-medical and medical use of psychoactive medication among Mexican adolescents and adults' medication users and to estimate the associations between sociodemographic characteristics and non-medical use of psychoactive medication, using data from a nationally representative sample.

The Prevalence of Symptomatology and Risk Factors in Mental Health in Mexico: The 2016-17 ENCODAT Cohort.

There is little recent information about the prevalence of symptomatology of mental health disorders in representative population samples in Mexico. To determine the prevalence of mental health symptoms in Mexico and its comorbidity with tobacco, alcohol, and drug use disorder (SUD), we used the 2016-17 National Survey of Drug, Alcohol, and Tobacco Use (Encuesta Nacional de Consumo de Drogas, Alcohol y Tabaco, ENCODAT 2016-2017). The data were collected from households using a cross-sectional, stratified, multistage design, with a confidence level of 90% and a response rate of 73.

Changes in Attitudes toward People with Substance Use Disorder: A Comparative Study of the General Population in Mexico.

Background: Substance use disorders are among the most stigmatized conditions worldwide. People with substance use disorder (PWSUD) are often considered responsible for their use of drugs. The objectives are to analyze changes in Mexican attitudes toward PWSUD in the general population over the period 2011 to 2016 and to use the latest Mexican household survey to determine which segments of the population are most likely to have negative attitudes.

Genome-Wide Analysis of Disordered Eating Behavior in the Mexican Population.

Alterations in eating behavior characterized eating disorders (ED). The genetic factors shared between ED diagnoses have been underexplored. The present study performed a genome-wide association study in individuals with disordered eating behaviors in the Mexican population, blood methylation quantitative trait loci (blood-meQTL), summary data-based Mendelian randomization (SMR) analysis, and in silico function prediction by different algorithms.

Cannabis Use in People With Obsessive-Compulsive Symptomatology: Results From a Mexican Epidemiological Sample.

Recent studies suggest that the endocannabinoid system could play an important role in the physiopathology of obsessive-compulsive disorder (OCD). There are reports of effective treatment with derivatives of tetrahydrocannabinol (THC). The study of the genetic factor associated with psychiatric disorders has made possible an exploration of its contribution to the pharmacological response.

Genome-wide association study of psychiatric and substance use comorbidity in Mexican individuals.

The combination of substance use and psychiatric disorders is one of the most common comorbidities. The objective of this study was to perform a genome-wide association study of this comorbidity (Com), substance use alone (Subs), and psychiatric symptomatology alone (Psych) in the Mexican population. The study included 3914 individuals of Mexican descent.

Association of MGAT4C with major neurocognitive disorder in the Mexican population.

Background: Neurocognitive disorders (NCDs) are characterized by cognitive decline. Most genetic studies of NCDs have been focused on single-nucleotide polymorphism; other genetic variations, such as copy number variants (CNV), have been less explored. The aim of the present study was to explore CNVs associated with NCDs in a small sample of Mexican individuals and search for the frequency in a larger replication sample of individuals at high-risk for or diagnosed with NCDs.

The Identification of Admixture Patterns Could Refine Pharmacogenetic Counseling: Analysis of a Population-Based Sample in Mexico.

Pharmacogenetic analysis has generated translational data that could be applied to guide treatments according to individual genetic variations. However, pharmacogenetic counseling in some (admixed) populations may require tailoring to different patterns of admixture. The identification and clustering of individuals with related admixture patterns in such populations could help to refine the practice of pharmacogenetic counseling.

Innovative Identification of Substance Use Predictors: Machine Learning in a National Sample of Mexican Children.

Machine learning provides a method of identifying factors that discriminate between substance users and non-users potentially improving our ability to match need with available prevention services within context with limited resources. Our aim was to utilize machine learning to identify high impact factors that best discriminate between substance users and non-users among a national sample (N = 52,171) of Mexican children (i.e.

The influence of perceived parenting on substance initiation among Mexican children.

Parents shape their children's behaviors and impact their developmental trajectories. Despite this, few studies have examined the potential relationship between child reported parenting factors and lifetime substance use and use intentions. The current study examined the potential impact of parenting factors (i.

Mexicans' use of illicit drugs in an era of drug reform: national comparative analysis by migrant status.

Background: Although rates of illicit drug use are considerably lower in Mexico than in the United States, rates in Mexico have risen significantly. This increase has particular implications for Mexican women and US migrants, who are considered at increased risk of drug use. Due to drug reforms enacted in Mexico in 2008, it is critical to evaluate patterns of drug use among migrants who reside in both regions.