Related Experiment Video
Updated: Jul 4, 2026

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
The fat tail of obesity as told by the genome
1Department of Genetics and Genomics, Boston University School of Medicine, Boston, Massachusetts 02118, USA. aherbert@bu.edu
Purpose Of Review:
Many genes affect pathways that predispose to and protect against obesity. We ask how many different variants affect human obesity and how common are they?
Recent Findings:
The current generation of genome-wide association scans is moderately powered to detect and replicate associations between single nucleotide polymorphisms, or common copy number variations and common diseases. They are not designed either to find rare germline variants or those somatic changes, unique to an individual, that arise with high frequency in adult stem cells. They do not directly assay the epigenetic reprogramming of outcomes related to maternal or environmental exposures.
Summary:
There are more gene variants, more gene-gene and gene-environmental interactions leading to obesity than current genome-wide association scan studies can verify. Those genetic associations that can be validated provide valuable insight into the pathways contributing to human obesity.
Related Concept Videos
Obesity
Genomics
Polygenic Traits
Polygenic Traits
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Incomplete Dominance
