Evidence map›Paper›PMID 20931363›Full record

ReviewCurrent diabetes reports2010

The genetics of obesity.

Blanca M Herrera, Cecilia M Lindgren

Registry-linked trialOpen access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current diabetes reports, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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 95 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 2 pooled it
11.4field-weighted citation impact, top 1% of its field
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

95 citing papers in PubMed, 2 syntheses or guidelines pooled it, 254 citations in OpenAlex.

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Blanca M HerreraWellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, OX3 7BN, UK. blanca@well.ox.ac.uk
Cecilia M Lindgren
Centre for Human Genetics · GBUniversity of Oxford · GB

Funding

Wellcome TrustWellcome Trust 086596/Z/08/Z
6 · The paper itself

Abstract

Obesity is a result of excess body fat accumulation. This excess is associated with adverse health effects such as CVD, type 2 diabetes, and cancer. The development of obesity has an evident environmental contribution, but as shown by heritability estimates of 40% to 70%, a genetic susceptibility component is also needed. Progress in understanding the etiology has been slow, with findings largely restricted to monogenic, severe forms of obesity. However, technological and analytical advances have enabled detection of more than 20 obesity susceptibility loci. These contain genes suggested to be involved in the regulation of food intake through action in the central nervous system as well as in adipocyte function. These results provide plausible biological pathways that may, in the future, be targeted as part of treatment or prevention strategies. Although the proportion of heritability explained by these genes is small, their detection heralds a new phase in understanding the etiology of common obesity.

Indexed as

AnimalsBody Mass IndexEatingGenetic Predisposition to DiseaseHumansObesity

Identifiers

PMID20931363
PMCPMC2955913
OpenAlexW2149474729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.