Evidence map›Paper›PMID 23529041›Full record

ReviewNature reviews. Endocrinology2013

From obesity genetics to the future of personalized obesity therapy.

Julia S El-Sayed Moustafa, Philippe Froguel

Erratum issued Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05466097 (Development of Polygenic Risk Score to Predict the Efficacy of Weight Loss Intervention in Children and Adolescents With Obesity), which is not on this map. Cited by 99 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05466097 unknown statusnot on this mapstarted 2022, after this paper: background citation

Development of Polygenic Risk Score to Predict the Efficacy of Weight Loss Intervention in Children and Adolescents With Obesity

Typeobservational_patient_registrySponsorFar Eastern Memorial HospitalRan2022 to 2025Enrolled300ConditionsObesity, Children
3 · Its place in the literature

Who cites it

99 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Association of Mutations in theInternational journal of molecular sciences · 2026
    Pooled it
  2. Pooled it
  3. Trial
  4. Monoallelic pathogenic variants in LEPR do not cause obesity.American journal of human genetics · 2024
    Trial
  5. Trial
  6. Long-term effects of bariatric surgery in patients with obesity and chromosome 16 p11.2 microdeletion.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2017
    Trial
  7. Trial
  8. Evaluating Approaches for Communication About Genomic Influences on Body Weight.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2015
    Trial
  9. Article
  10. Article
  11. Review
  12. DoesFood science & nutrition · 2026
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article

39 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors.

Julia S El-Sayed MoustafaDepartment of Genomics of Common Disease, Imperial College London, London W12 0NN, UK.
Philippe Froguel

Funding

Medical Research Council G1002084
6 · The paper itself

Abstract

Obesity is a disorder characterized by an excess accumulation of body fat resulting from a mismatch between energy intake and expenditure. Incidence of obesity has increased dramatically in the past few years, almost certainly fuelled by a shift in dietary habits owing to the widespread availability of low-cost, hypercaloric foods. However, clear differences exist in obesity susceptibility among individuals exposed to the same obesogenic environment, implicating genetic risk factors. Numerous genes have been shown to be involved in the development of monofactorial forms of obesity. In genome-wide association studies, a large number of common variants have been associated with adiposity levels, each accounting for only a small proportion of the predicted heritability. Although the small effect sizes of obesity variants identified in genome-wide association studies currently preclude their utility in clinical settings, screening for a number of monogenic obesity variants is now possible. Such regular screening will provide more informed prognoses and help in the identification of at-risk individuals who could benefit from early intervention, in evaluation of the outcomes of current obesity treatments, and in personalization of the clinical management of obesity. This Review summarizes current advances in obesity genetics and discusses the future of research in this field and the potential relevance to personalized obesity therapy.

Indexed as

AnimalsBody Mass IndexGenetic Predisposition to DiseaseHumansObesity

Identifiers

PMID23529041

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.