Evidence map›Paper›PMID 19037210›Full record

ArticleObesity (Silver Spring, Md.)2008

Considerations regarding the genetics of obesity.

Wendy K Chung, Rudolph L Leibel

Open access · bronzeAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Fetal programming of obesity and type 2 diabetes.World journal of diabetes · 2022
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Childhood obesity and adult morbidities.The American journal of clinical nutrition · 2010
    Review
  17. Article
  18. Review
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Wendy K ChungDivision of Molecular Genetics, Department of Pediatrics, Naomi Berrie Diabetes Center, Columbia University College of Physicians and Surgeons, New York, New York, USA.
Rudolph L Leibel
Columbia University · US

Funding

The molecular genetic analysis of human obesityR01DK052431 · NIDDK · ROCKEFELLER UNIVERSITY · PI CHUNG, WENDY K, LEIBEL, RUDOLPH L · 1996 to 2020
$11.6M
Leptin in Human Energy and Neuroendocrine HomeostasisR01DK064773 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEIBEL, RUDOLPH L · 2003 to 2013
$3.3M
Conference on ObesityR13DK070429 · NIDDK · KEYSTONE SYMPOSIA · PI LEIBEL, RUDOLPH L · 2004 to 2004
$22k
NIDDK NIH HHS DK52431NIDDK NIH HHS DK64773NIDDK NIH HHS R01 DK052431NIDDK NIH HHS R01 DK064773NIDDK NIH HHS R13 DK070429
6 · The paper itself

Abstract

The genetics of human body fat content (obesity) are clearly complex. Genetic and physiological analysis of rodents have helped enormously in pointing to critical molecules and cells in central nervous system and "peripheral" pathways mediating the requisite fine control over the defense of body fat. Human and animal studies are consistent with inferences from evolutionary considerations that the strengths of defenses against fat loss are greater than those against gain. Many of the genes participating in these pathways have reciprocal effects on both energy intake and expenditure, though different genes may have primary roles in respective responses to weight gain or loss. Such distinctions have important consequences for both research and treatment strategies. The body mass index (BMI) is a useful gross indicator of adiposity, but more refined measurements of body composition and energy homeostasis will be required to understand the functional consequences of allelic variation in genes of interest. Phenotypes related to energy intake and expenditure-which clearly are the major determinants of net adipose tissue storage-are not salient when individuals are in energy balance (weight stable); measurements obtained during weight perturbation studies are likely to provide more revealing phenotypes for genetic analysis. The advent of high-density genome-wide scans in large numbers of human subjects for association analysis will revolutionize the study of the genetics of complex traits such as obesity by generating substantial numbers of powerful linkage signals from smaller genetic intervals. Many of the genes implicated will not have been previously related to energy homeostasis (e.g., recent experience with FTO/FTM as described below), and will have relatively small effects on the associated phenotype(s). The mouse will again prove useful in determining the relevant physiology of these new genes. New analytic tools will have to be developed to permit the necessary analysis of the gene x gene interactions that must ultimately convey aggregate genetic effects on adiposity.

Indexed as

NutrigenomicsAnimalsBody CompositionBody WeightEnergy IntakeEnergy MetabolismEnvironmentGenome-Wide Association StudyGenotypeHumansMiceObesity

Identifiers

PMID19037210
PMCPMC2682366
OpenAlexW2021724180

What OpenQuestion holds

Textmetadata
LicenceTDM
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.