Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood

Amit V. Khera, Mark Chaffin, Kaitlin H. Wade, Sohail Zahid, Joseph Brancale, Rui Xia, Marina T. DiStefano, Ozlem Senol-Cosar, Mary E. Haas, Alexander G. Bick, Krishna G. Aragam, Eric S. Lander, George Davey Smith, Heather Mason‐Suares, Myriam Fornage, Matthew S. Lebo, Nicholas J. Timpson, Lee M. Kaplan, Sekar Kathiresan

Cell · 2019

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Summary

This 2019 study in Cell presents a polygenic prediction approach for estimating weight and obesity trajectories from birth to adulthood, leveraging genome-wide association data across large cohorts. As suggested by the authorship and scope, the work develops risk stratification tools that differentiate genetic predisposition to obesity across the lifespan, potentially informing early intervention strategies. The findings contribute to understanding the heritable component of obesity risk, though environmental and behavioural factors remain critical determinants not captured by genetic models alone.

UK applicability

The polygenic risk score methodology is applicable to UK populations where genomic data and longitudinal health records are available through biobanks such as UK Biobank. However, the predictive accuracy and clinical utility would require validation in UK cohorts and integration with existing obesity prevention and management pathways in the NHS.

Key measures

Polygenic risk scores (PRS); body mass index (BMI); weight trajectories; obesity classification; risk stratification across life stages

Outcomes reported

The study developed and validated polygenic prediction models for body weight and obesity risk from birth through adulthood. The research assessed the predictive accuracy of genetic risk scores across multiple longitudinal cohorts.

Theme
Nutrition & health
Subject
Dietary patterns & chronic disease
Study type
Research
Study design
Observational cohort
Source type
Peer-reviewed study
Status
Published
Geography
United States
System type
Human clinical
DOI
10.1016/j.cell.2019.03.028
Catalogue ID
BFmor3gaas-c3djbv

Topic tags

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