Evidence map›Paper›PMID 23616257›Full record

ArticleObesity (Silver Spring, Md.)2014

Whole-exome sequencing identifies novel LEPR mutations in individuals with severe early onset obesity.

Richard Gill, Yee Him Cheung, Yufeng Shen, Patricia Lanzano, Nazrat M Mirza, Svetlana Ten, Noel K Maclaren, Roja Motaghedi, Joan C Han, Jack A Yanovski and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 54 citations in OpenAlex.

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  15. GENETIC AND EPIGENETIC CAUSES OF OBESITY.Adolescent medicine: state of the art reviews · 2017
    Review
  16. Article
  17. Leptin applications in 2015: what have we learned about leptin and obesity?Current opinion in endocrinology, diabetes, and obesity · 2015
    Review
  18. 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

12 authors at 8 institutions in 1 country.

Richard GillDivision of Molecular Genetics Department of Pediatrics, College of Physicians and Surgeons, Columbia University Medical Center, New York, New York, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, New York, USA.
Yee Him Cheung
Yufeng Shen
Patricia Lanzano
Nazrat M Mirza
Svetlana Ten
Noel K Maclaren
Roja Motaghedi
Joan C Han
Jack A Yanovski
Rudolph L Leibel
Wendy K Chung
Columbia University Irving Medical Center · USChildren's National · USColumbia University · USCornell University · USEunice Kennedy Shriver National Institute of Child Health and Human Development · USNational Institutes of Health · USSUNY Downstate Health Sciences University · USUniversity of Washington · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0M
RESEARCH TRAININGP30DK026687 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI Anthony W Ferrante, DYMPNA GALLAGHER · 1986 to 2026
$33.0M
Physiology, Psychology, and Genetics of ObesityZIAHD000641 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI YANOVSKI, JACK A. · 2009 to 2025
$24.8M
The molecular genetic analysis of human obesityR01DK052431 · NIDDK · ROCKEFELLER UNIVERSITY · PI CHUNG, WENDY K, LEIBEL, RUDOLPH L · 1996 to 2020
$11.6M
Physiology, Psychology, and Genetics of ObesityZ01HD000641 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI YANOVSKI, JACK A. · 1996 to 2008
$4.6M
Neuroendocrine Regulation of Metabolism and NeurocognitionZIAHD008898 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI HAN, JOAN C. · 2010 to 2014
$1.4M
CIHR DFSA-113549Intramural NIH HHS Z01 HD000641Intramural NIH HHS Z99 DA999999Intramural NIH HHS Z99 HD999999Intramural NIH HHS Z99 HL999999Intramural NIH HHS Z99 MH999999Intramural NIH HHS Z99 OD999999Intramural NIH HHS ZIA HD000641NCRR NIH HHS UL1 RR024156NICHD NIH HHS Z1A-HD-00641NIDDK NIH HHS DK26687-31NIDDK NIH HHS DK52431-19NIDDK NIH HHS P30 DK026687NIDDK NIH HHS R01 DK052431
6 · The paper itself

Abstract

objectiveObesity is a major public health problem that increases the risk for a broad spectrum of co-morbid conditions. Despite evidence for a strong genetic contribution to susceptibility to obesity, previous efforts to discover the relevant genes using positional cloning have failed to account for most of the apparent genetic risk variance. DESIGN AND

methodsDeploying a strategy combining analysis of exome sequencing data in extremely obese members of four consanguineous families with segregation analysis, we screened for causal genetic variants. Filter-based analysis and homozygosity mapping were used to identify and prioritize putative functional variants.

resultsTwo novel frameshift mutations in the leptin receptor in two of the families were identified.

conclusionsThese results provide proof-of-principle that whole-exome sequencing of families segregating for extreme obesity can identify causal pathogenic mutations. The methods described here can be extended to additional families segregating for extreme obesity and should enable the identification of mutations in novel genes that predispose to obesity.

Indexed as

ExomeFrameshift MutationAcanthosis NigricansAdolescentBody Mass IndexChildConsanguinityFamily HealthFemaleHomozygoteHumansInfantInsulinLeptinMalePediatric ObesityInsulinLEPR protein, humanLeptinReceptors, Leptin

Identifiers

PMID23616257
PMCPMC3791145
OpenAlexW1606915569

What OpenQuestion holds

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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.