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Updated: Apr 23, 2026

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
Association study uncovers obesity-linked variants in mobile elements as potential regulators of gene expression
Eira Eliana Huerta-Ávila1,2, Angélica Martínez-Hernández1, Francisco Barajas-Olmos1
1Laboratorio de Inmunogenomica y Enfermedades Metabolicas, Instituto Nacional de Medicina Genomica, Mexico City, Mexico.
This study analyzed genetic variants linked to obesity in Mexican participants, replicating known associations and finding new signals in genes like FTO. It highlights the need for diverse populations in genetic research.
Area of Science:
- Genetics
- Obesity Research
- Population Genetics
Background:
- Obesity is a complex trait influenced by genetic and environmental factors.
- Genome-wide association studies (GWAS) have identified over 1,000 obesity-related genetic variants.
- Most genetic research on obesity has focused on European populations, limiting generalizability.
Purpose of the Study:
- To conduct a candidate gene association meta-analysis in a Mexican population.
- To examine genetic variants associated with obesity, abdominal obesity, body mass index (BMI), and waist circumference.
- To identify novel obesity-related genetic associations in an underrepresented population.
Main Methods:
- A meta-analysis of candidate gene associations was performed.
- 3,866 unrelated Mexican participants were analyzed.
- 356 obesity-related genes and their single-nucleotide variants (SNVs) were examined.
Main Results:
- 56 known SNV associations with obesity-related traits were replicated.
- Novel association signals were identified in genes including CNTN5, EML6, KCNMB2, LHFPL3, and FTO.
- Functional annotation indicated that variants act as expression quantitative trait loci (eQTLs) for 116 genes, particularly in nervous, digestive, and endocrine tissues.
Conclusions:
- Established obesity-related genetic loci are relevant in the Mexican population.
- Potentially population-specific candidate variants were discovered.
- The study underscores the importance of including diverse populations in genetic research to understand obesity etiology comprehensively.
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