obesity

Researchers saw variants contributing to both ends of the weight spectrum by analyzing thousands of thin, early-onset obese, and population control individuals.

Perceived genetic risk can affect individuals' physiology more than their actual genetic risk, raising questions about when to disclose such information.

The project builds on a collaboration between Bio-Rad and Genetic Analysis using the GA-map clinical test for gut dysbiosis.

A gene-environment analysis involving 10,346 twins suggests parents are more restrictive when feeding children who have a genetic propensity for weight gain.

The firm will use the financing to commercialize a test that utilizes metabolomic and DNA biomarkers to characterize obesity and guide weight loss.

Hmong and Karen immigrants to the US quickly lost diversity in their microbiomes and experienced shifts in the microbes present in their guts.

The scientists developed a metabolomic panel capable of predicting BMI and identifying subsets of at-risk patients with apparently healthy BMIs.

A deep RNA sequencing analysis of adipose tissue from lean and obese individuals highlighted new and previously annotated human long intergenic noncoding RNAs.

The researchers said that examining the FGF21 allele could cast light on potential adverse and beneficial effects of therapies that target the gene.