Evidence map›Paper›PMID 23168490›Full record

ArticleNutrition & diabetes2012

Beyond the fourth wave of genome-wide obesity association studies.

C H Sandholt, T Hansen, O Pedersen

Open access · goldAbstract read
In one paragraph

Article in Nutrition & diabetes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 3% 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.

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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Do Thyroid Diseases during Pregnancy and Lactation Affect the Nutritional Composition of Human Milk?Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2020
    Pooled it
  2. Review
  3. Aging reveals a sex-dependent susceptibility of sarcospan-deficient mice to cardiometabolic disease.American journal of physiology. Heart and circulatory physiology · 2024
    Article
  4. Review
  5. Mapping novel QTL and fine mapping of previously identified QTL associated with glucose tolerance using the collaborative cross mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
    Article
  6. Review
  7. Review
  8. Genetics of murine type 2 diabetes and comorbidities.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Fat fibrosis: friend or foe?JCI insight · 2018
    Review
  14. Review
  15. Article
  16. Observational
  17. Gene-diet interactions and aging in C. elegans.Experimental gerontology · 2016
    Article
  18. Article
  19. Review
  20. Relationships betweenClinical interventions in aging · 2016
    Article
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

3 authors at 3 institutions in 1 country.

C H SandholtThe Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
T Hansen
O Pedersen
Aarhus University · DKNovo Nordisk Foundation · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity and related complications are major health burdens. Almost 700 million adults are currently obese globally and the prevalence is predicted to rise towards 2030. The sudden change of lifestyle with physical inactivity and excessive calorie intake undoubtedly have a major part of the epidemic development; however, some individuals seem to be more prone to be affected by an unhealthy lifestyle than others. Hence, genetic predisposition also has an essential role in determining disease susceptibility and response to lifestyle factors. Since the introduction of genome-wide association studies (GWAS), the success of identifying obesity susceptibility variants have increased, and a total of 32 variants have been identified associating genome-wide significantly with body mass index (BMI) and 18 with measures of fat distribution during four overall obesity GWAS waves. However, the immediate success of the GWAS approach has eased off, but the proportion of explained variance for BMI by the identified obesity variants remains low. This review suggests and discusses new initiatives to take GWAS of obesity to the next level, including gene-environment interactions as modulating/masking factors, low-frequent or rare variants and ways to address such analyses, and finally reflections about the applicability of epigenetic modifications when elucidating the genetic background of obesity.

Identifiers

PMID23168490
PMCPMC3408643
OpenAlexW1977528813

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.