Leveraging Genomic Associations in Precision Digital Care for Weight Loss: Cohort Study.

ABSTRACT:

Background

The COVID-19 pandemic has highlighted the urgency of addressing an epidemic of obesity and associated inflammatory illnesses. Previous studies have demonstrated that interactions between single-nucleotide polymorphisms (SNPs) and lifestyle interventions such as food and exercise may vary metabolic outcomes, contributing to obesity. However, there is a paucity of research relating outcomes from digital therapeutics to the inclusion of genetic data in care interventions.

Objective

This study aims to describe and model the weight loss of participants enrolled in a precision digital weight loss program informed by the machine learning analysis of their data, including genomic data. It was hypothesized that weight loss models would exhibit a better fit when incorporati

SUBMITTER: Sinha R 

PROVIDER: S-EPMC8173391 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature