Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewed

The genetics of obesity: from discovery to biology

Ruth J. F. Loos, Giles S.H. Yeo

Nature Reviews Genetics · 2021

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Summary

This 2021 Nature Reviews Genetics article synthesises the expanding body of genetic research on obesity, documenting the transition from initial gene discovery through GWAS to mechanistic understanding of how genetic variants influence obesity risk. The authors integrate findings across multiple biological systems—including energy intake regulation, metabolic rate, and adipose tissue function—to construct a more complete picture of obesity's genetic architecture. The review suggests that obesity results from complex interactions between numerous genetic variants of small effect and environmental exposures, rather than single-gene determinism.

UK applicability

The genetic findings and biological mechanisms described are likely applicable to UK populations, particularly those of European ancestry well-represented in GWAS cohorts. However, the review does not specifically address UK dietary or lifestyle contexts, and applicability to UK ethnic minority populations may be limited by underrepresentation in genomic studies.

Key measures

Genetic variants associated with obesity; body mass index (BMI); gene expression and functional pathways implicated in energy homeostasis and metabolic regulation

Outcomes reported

The paper reviews the current state of genetic discoveries in obesity, synthesising findings from genome-wide association studies (GWAS) and functional biology to explain how genetic variants contribute to obesity risk. It reports on the identification and characterisation of obesity-associated genes and their biological pathways.

Theme
Nutrition & health
Subject
Dietary patterns & chronic disease
Study type
Narrative Review
Study design
Narrative review
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Human clinical
DOI
10.1038/s41576-021-00414-z
Catalogue ID
SNmohdwc5g-insmgi

Topic tags

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