Evidence map›Paper›PMID 23360386›Full record

ReviewAnnals of the New York Academy of Sciences2013

The genetics of human obesity.

Qianghua Xia, Struan F A Grant

Open access · bronzeAbstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
18.1field-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.

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

76 citing papers in PubMed, 171 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Monogenic diabetes.Diabetology international · 2024
    Review
  6. Article
  7. The Evaluation of the Genetic Variation Types of theGenetic testing and molecular biomarkers · 2024
    Article
  8. Obesity: An Impact with Cardiovascular and Cerebrovascular Diseases.Indian journal of clinical biochemistry : IJCB · 2024
    Review
  9. Review
  10. Review
  11. Genetics of Obesity in Humans: A Clinical Review.International journal of molecular sciences · 2022
    Review
  12. Article
  13. Article
  14. Sexual dimorphism in the relationship betweenFrontiers in aging neuroscience · 2022
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review

16 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 1 institution in 1 country.

Qianghua XiaDivision of Human Genetics, The Children's Hospital of Philadelphia Research Institute, Philadelphia, PA 19104, USA.
Struan F A Grant
Children's Hospital of Philadelphia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has long been known that there is a genetic component to obesity, and that characterizing this underlying factor would likely offer the possibility of better intervention in the future. Monogenic obesity has proved to be relatively straightforward, with a combination of linkage analysis and mouse models facilitating the identification of multiple genes. In contrast, genome-wide association studies have successfully revealed a variety of genetic loci associated with the more common form of obesity, allowing for very strong consensus on the underlying genetic architecture of the phenotype for the first time. Although a number of significant findings have been made, it appears that very little of the apparent heritability of body mass index has actually been explained to date. New approaches for data analyses and advances in technology will be required to uncover the elusive missing heritability, and to aid in the identification of the key causative genetic underpinnings of obesity.

Indexed as

AnimalsEpigenomicsGenetic LinkageGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansObesity

Identifiers

PMID23360386
PMCPMC3717174
OpenAlexW1777036140

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.