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Published on: May 10, 2022
Genome-Wide Analysis of Disordered Eating Behavior in the Mexican Population
José Jaime Martínez-Magaña1, Sandra Hernandez2, Ana Rosa Garcia3
1Laboratorio de Genómica de Enfermedades Psiquiátricas y Neurodegenerativas, Instituto Nacional de Medicina Genómica, Mexico City 14610, Mexico.
This study explored genetic factors in eating disorders (ED) within the Mexican population. Genetic variations linked to metabolic and immune functions were associated with disordered eating behaviors.
Area of Science:
- Genetics and Genomics
- Psychiatry
- Metabolic Disorders
Background:
- Eating disorders (ED) involve complex genetic underpinnings that remain underexplored.
- Shared genetic factors across different ED diagnoses require further investigation.
- Understanding the genetic architecture of ED is crucial for developing targeted interventions.
Purpose of the Study:
- To investigate shared genetic factors contributing to disordered eating behaviors in the Mexican population.
- To identify specific genetic variants and their functional implications in ED.
- To explore the relationship between genetic variation, DNA methylation, and ED.
Main Methods:
- Genome-wide association study (GWAS) and blood methylation quantitative trait loci (blood-meQTL) analysis.
- Summary data-based Mendelian randomization (SMR) analysis.
- In silico functional variant prediction, phenome-wide, and multi-tissue expression quantitative trait loci analyses.
Main Results:
- Identified 44 single-nucleotide polymorphisms (SNPs) nominally associated with ED and seven blood-meQTLs at genome-wide significance.
- SNPs were enriched in genome-wide associations related to metabolic and immunologic domains.
- SNP rs10419198 potentially affects PRR12 expression in relevant tissues; SETBP1 and SEMG1 methylation levels were associated via SMR analysis.
Conclusions:
- The study supports existing associations between genetic variation in the metabolic domain and ED.
- Identified specific genetic variants and methylation patterns that may contribute to ED pathophysiology.
- Highlights the importance of integrating genetic and epigenetic data for a comprehensive understanding of ED.
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