Evidence map›Paper›PMID 20002076›Full record

ReviewBritish journal of clinical pharmacology2009

Recent progress in the genetics of common obesity.

Ruth J F Loos

Abstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Specific Functions of Melanocortin 3 Receptor (MC3R)Journal of clinical research in pediatric endocrinology · 2023
    Review
  6. The miR-668 binding site variant rs1046322 onFrontiers in endocrinology · 2023
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. AreBMJ open · 2017
    Article
  12. Article
  13. Article
  14. Diet, behavior and immunity across the lifespan.Neuroscience and biobehavioral reviews · 2015
    Review
  15. Article
  16. Effects of Maternal Obesity on Fetal Programming: Molecular Approaches.Cold Spring Harbor perspectives in medicine · 2015
    Review
  17. Review
  18. Obesity and Related Factors in Iran: The STEPS Survey, 2011.Iranian Red Crescent medical journal · 2015
    Article
  19. Article
  20. Review
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

1 author.

Ruth J F LoosMRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK. ruth.loos@mrc-epid.cam.ac.uk

Funding

Medical Research Council MC_U106188470
6 · The paper itself

Abstract

The genetic contribution to interindividual variation in common obesity has been estimated at 40-70%. Yet, despite a relatively high heritability, the search for obesity susceptibility genes has been an arduous task. This paper reviews recent progress made in the obesity genetics field with an emphasis on established obesity susceptibility loci identified through candidate gene as well as genome-wide studies. For the last 15 years, candidate gene and genome-wide linkage studies have been the two main genetic epidemiological approaches to identify genetic loci for common traits, yet progress has been slow and success limited. Only recently have candidate gene studies started to succeed; by means of large-scale studies and meta-analyses at least five variants in four candidate genes have been found to be robustly associated with obesity-related traits. Genome-wide linkage studies, however, have so far not been able to pinpoint genetic loci for common obesity. The genome-wide association approach, which has become available in recent years, has dramatically changed the pace of gene discoveries for common disease, including obesity. Three waves of large-scale high-density genome-wide association studies have already discovered at least 15 previously unanticipated genetic loci incontrovertibly associated with body mass index and extreme obesity risk. Although the combined contribution of these loci to the variation in obesity risk at the population level is small and their predictive value is typically low, these recently discovered loci are set to improve fundamentally our insights into the pathophysiology of obesity.

Indexed as

Genome-Wide Association StudyBody Mass IndexChromosome MappingGenetic LociGenetic Predisposition to DiseaseGenome, HumanHumansMeta-Analysis as TopicObesityPedigreeRisk Factors

Identifiers

PMID20002076
PMCPMC2810793

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.