Evidence map›Paper›PMID 11923910›Full record

ArticleAmerican journal of human genetics2002

A genomewide linkage scan for quantitative-trait loci for obesity phenotypes.

Hong-Wen Deng, Hongyi Deng, Yong-Jun Liu, Yao-Zhong Liu, Fu-Hua Xu, Hui Shen, Theresa Conway, Jin-Long Li, Qing-Yang Huang, K M Davies and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 3 pooled it
8.3field-weighted citation impact, top 2% 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

65 citing papers in PubMed, 3 syntheses or guidelines pooled it, 159 citations in OpenAlex.

  1. Pooled it
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  4. Trial
  5. Circadian Gene Variants: Effects in Overweight and Obese Pregnant Women.International journal of molecular sciences · 2024
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5 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

11 authors at 2 institutions in 2 countries.

Hong-Wen DengOsteoporosis Research Center, and Department of Biomedical Sciences, Creighton University, Omaha, NE, USA. deng@creighton.edu
Hongyi Deng
Yong-Jun Liu
Yao-Zhong Liu
Fu-Hua Xu
Hui Shen
Theresa Conway
Jin-Long Li
Qing-Yang Huang
K M Davies
Robert R Recker
Bone Health and Osteoporosis Foundation · USCreighton University · US

Funding

USHERIN--FUNCTION, EXPRESSION, AND ROLE IN PATHOGENESISP01DC001813 · NIDCD · FATHER FLANAGAN'S BOYS'HOME · PI KIMBERLING, WILLIAM J · 1993 to 2003
$4.7M
CHARACTERIZATION OF DELETERIOUS GENOMIC MUTATIONSR01GM060402 · NIGMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2000 to 2005
$889k
Genetic Basis of Osteoporotic Fractures and Bone MassK01AR002170 · NIAMS · CREIGHTON UNIVERSITY · PI DENG, HONG-WEN · 2001 to 2005
$505k
GENETIC LINKAGE TO LOW PEAK BONE MASSR01AR045349 · NIAMS · CREIGHTON UNIVERSITY · PI RECKER, ROBERT R. · 1997 to 2000
$188k
NIAMS NIH HHS K01 AR002170NIAMS NIH HHS K01 AR02170-01NIAMS NIH HHS R01 AR45349-01NIDCD NIH HHS P01 DC01813-07NIGMS NIH HHS R01 GM060402NIGMS NIH HHS R01 GM60402-01A1
6 · The paper itself

Abstract

Obesity is an increasingly serious health problem in the world. Body mass index (BMI), percentage fat mass, and body fat mass are important indices of obesity. For a sample of pedigrees that contains >10,000 relative pairs (including 1,249 sib pairs) that are useful for linkage analyses, we performed a whole-genome linkage scan, using 380 microsatellite markers to identify genomic regions that may contain quantitative-trait loci (QTLs) for obesity. Each pedigree was ascertained through a proband who has extremely low bone mass, which translates into a low BMI. A major QTL for BMI was identified on 2q14 near the marker D2S347 with a LOD score of 4.04 in two-point analysis and a maximum LOD score (MLS) of 4.44 in multipoint analysis. The genomic region near 2q14 also achieved an MLS >2.0 for percentage of fat mass and body fat mass. For the putative QTL on 2q14, as much as 28.2% of BMI variation (after adjustment for age and sex) may be attributable to this locus. In addition, several other genomic regions that may contain obesity-related QTLs are suggested. For example, 1p36 near the marker D1S468 may contain a QTL for BMI variation, with a LOD score of 2.75 in two-point analysis and an MLS of 2.09 in multipoint analysis. The genomic regions identified in this and earlier reports are compared for further exploration in extension studies that use larger samples and/or denser markers for confirmation and fine-mapping studies, to eventually identify major functional genes involved in obesity.

Indexed as

Body Mass IndexChromosome MappingGenome, HumanQuantitative Trait, HeritableAdipose TissueAdultAgedAnimalsFemaleGenotypeHumansLod ScoreMaleMicrosatellite RepeatsMiddle AgedModels, Animal

Identifiers

PMID11923910
PMCPMC447591
OpenAlexW2050099008

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.