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Updated: Jun 19, 2025

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
Genetic variation in NOTCH1 is associated with overweight and obesity in Brazilian elderly
Estevão Carlos Silva Barcelos1,2, Michel Satya Naslavsky3,4, Izadora Silveira Fernandes1
1Postgraduate Program in Biotechnology, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil.
Abstract:
Excessive weight (overweight and obesity) is a common disorder involving genetic and environmental factors, associated with cardiovascular diseases, type-2 diabetes, and others. NOTCH1 is critical for the maintenance of stem cells and adult tissues, being reported as a key player in metabolism and adipogenesis in animals. Thus, we test the hypothesis that NOTCH1 Single Nucleotide Polymorphisms (SNPs) are associated with excessive weight. Participants from the census-based cohort SABE (Saúde, Bem Estar e Envelhecimento-Health, Well-Being, and Aging), carried out in the city of São Paulo-Brazil, were stratified into cases and controls according to BMI. We filter the SNPs located at the start and end positions of NOTCH1 and 50 Kb on both sides. We selected SNPs with minor allelic frequency (MAF) greater than or equal to 0.01 and Hardy-Weinberg equilibrium (p > 0.05) and r2 ≥ 0.8. We performed an association study with genotypes and haplotypes, as well as in silico functional analysis of the identified SNPs. We observed an association of the SNP rs9411207 with the risk of excessive weight, under log-additive model, and the genotype distribution showed an increased frequency of homozygous TT (OR 1.50, CI 1.20-1.88; p = 0.0002). The haplotype GAT constructed from this and other SNPs in high Linkage Disequilibrium was more frequent in excessive-weight individuals (p = 0.003). In silico analyses suggested that these SNPs are likely to affect the transcription of NOTCH1 and other genes involved in adipogenesis and metabolism. This is the first study reporting association between NOTCH1 SNPs and the risk of excessive weight. Considering the possibility of NOTCH1 modulation, additional population studies are important to replicate these data and confirm the usefulness of risk genotypes for management strategies of excessive weight.
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