Eating Disorders Methylation Profiling

We performed blood methylation quantitative trait loci (blood-meQTL) analysis to estimate the possible impact of the associated SNPs in DNA methylation levels. We analyzed a subset of individuals diagnosed with eating disorders of Mexican ascendence from a previously published database [46 (link)]. The DNA methylation levels were determined using Illumina MethylationEPIC BeadChips (Illumina, USA). We calculated trans- and cis-meQTL with the -mtscore function of the KING software [47 (link)], and a p-value < 5.00 × 10⁻⁸ was considered genome-wide statistically significant. We searched the associated SNPs with eQTL and blood-meQTL effect in the regulomeDB for enhancer or promoter marks [48 (link)].

Free full text: Click here

Martínez-Magaña J.J., Hernandez S., Garcia A.R., Cardoso-Barajas V., Sarmiento E., Camarena B., Caballero A., Gonzalez L., Villatoro-Velazquez J.A., Medina-Mora M.E., Bustos-Gamiño M., Fleiz-Bautista C., Tovilla-Zarate C.A., Juárez-Rojop I.E., Nicolini H, & Genis-Mendoza A.D. (2022). Genome-Wide Analysis of Disordered Eating Behavior in the Mexican Population. Nutrients, 14(2), 394.

Publication 2022

MethylationEPIC BeadChips

Blood Blood analysis Dna methylation Eating disorders Genome Methylation Quantitative trait loci Snps

Corresponding Organization : National Institute of Genomic Medicine

Other organizations : Instituto Nacional de Psiquiatría, Hospital Psiquiatrico Infantil Juan N Navarro, Universidad Juárez Autónoma de Tabasco

Top 5 similar protocols

Variable analysis

independent variables

Associated SNPs

dependent variables

DNA methylation levels

control variables

Individuals diagnosed with eating disorders of Mexican ascendence from a previously published database

notes

The study performed blood methylation quantitative trait loci (blood-meQTL) analysis to estimate the possible impact of the associated SNPs on DNA methylation levels.
The DNA methylation levels were determined using Illumina MethylationEPIC BeadChips (Illumina, USA).
The researchers calculated trans- and cis-meQTL with the -mtscore function of the KING software and considered a p-value < 5.00 × 10^-8 as genome-wide statistically significant.
The researchers searched the associated SNPs with eQTL and blood-meQTL effect in the regulomeDB for enhancer or promoter marks.

Annotations

Based on most similar protocols

Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.

As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!