Large-Scale Analysis Links Multiple Gene Variants with Differences in Food Intake

Researchers, led by teams at Massachusetts General Hospital and Boston University School of Public Health, carried out a multivariate genome-wide association analysis of data from more than 280,000 individuals, and identified 26 genetic loci that may affect individuals’ preference for foods that are relatively high in fat, protein or carbohydrates. They say the findings could help to identify people who are more likely to follow dietary recommendations for preventing obesity and diabetes.