Methylation profiling

Dataset Information

0

Maternal Weight Phenotype as a Predictor of Methylation of Obesity-Related CpG Sites in Saliva Samples from Latino Children


ABSTRACT: Epigenetics presents a dynamic approach to assess complex individual variation in obesity susceptibility. However, few studies have examined epigenetic patterns in preschool-age children, despite the relevance of this developmental stage to trajectories of weight gain, because of difficulties obtaining blood tissue samples. This proof of principle study examined DNA methylation in 92 saliva samples, comparing Latino preschool children of normal weight mothers (Body Mass Index [BMI] <27 kg/m2 and WC <90 cm) to children of obese mothers (BMI >30 kg/m2 and WC >100 cm). We hypothesized that salivary DNA methylation patterns in Latino preschool age children born of normal weight vs obese weight mothers would be: 1) associated with maternal BMI phenotype in continuous linear regression analysis; 2) saliva could demonstrate epigenetic variation across individuals; and 3) preschool child saliva would be differentially methylated when comparing those children with obese versus normal weight mothers. One hundred and nineteen CpG sites were significantly (p-value <1.56 X 10-5, p-value adjusted <.05) associated with maternal BMI in linear regression models controlling for child’s age, gender, and BMI. Of these 119 CpG sites, 41 were found within the transcription start site, 5’ UTR, 3’ UTR, or another regulatory region outside of the gene body. Saliva, a practical human tissue to obtain in naturalistic settings and in pediatric populations, was confirmed to be a viable medium for genome-wide epigenetic testing with maternal weight. Although not identical to results yielded from other human tissue types (i.e., cord blood samples), saliva findings indicate potential epigenetic differences in Latino preschool children at risk for pediatric obesity.

ORGANISM(S): Homo sapiens

PROVIDER: GSE72556 | GEO | 2016/02/25

SECONDARY ACCESSION(S): PRJNA294332

REPOSITORIES: GEO

Similar Datasets

2016-02-25 | E-GEOD-72556 | biostudies-arrayexpress
2011-01-01 | E-GEOD-21342 | biostudies-arrayexpress
2022-09-09 | GSE212951 | GEO
2020-09-02 | GSE150649 | GEO
2011-01-01 | GSE21342 | GEO
2019-08-22 | GSE128289 | GEO
2008-10-26 | E-GEOD-9624 | biostudies-arrayexpress
2023-01-18 | GSE212564 | GEO
2023-03-01 | E-MTAB-12728 | biostudies-arrayexpress
2008-10-01 | GSE9624 | GEO