Evidence map›Paper›PMID 23794238›Full record

ArticleObesity (Silver Spring, Md.)2014

Gene-by-age effects on BMI from birth to adulthood: the Fels Longitudinal Study.

Audrey C Choh, Miryoung Lee, Jack W Kent, Vincent P Diego, William Johnson, Joanne E Curran, Thomas D Dyer, Claire Bellis, John Blangero, Roger M Siervogel and 3 more

Abstract 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 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Risk factors affecting polygenic score performance across diverse cohorts.medRxiv : the preprint server for health sciences · 2024
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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

13 authors.

Audrey C ChohDivision of Epidemiology, Lifespan Health Research Center, Department of Community Health, Boonshoft School of Medicine, Wright State University, Dayton, Ohio, USA.
Miryoung Lee
Jack W Kent
Vincent P Diego
William Johnson
Joanne E Curran
Thomas D Dyer
Claire Bellis
John Blangero
Roger M Siervogel
Bradford Towne
Ellen W Demerath
Stefan A Czerwinski

Funding

SUBCUTANEOUS FAT, BLOOD LIPIDS AND SUBSEQUENT OUTCOMER01HD012252 · NICHD · WRIGHT STATE UNIVERSITY · PI CZERWINSKI, STEFAN A. · 1985 to 2014
$17.3M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
High Performance Computing System for Human GenomicsS10RR029392 · NCRR · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2010 to 2010
$2.1M
The Genetics of Infant Growth and Later ObesityR01HD053685 · NICHD · WRIGHT STATE UNIVERSITY · PI DEMERATH, ELLEN W. · 2006 to 2010
$2.0M
Medical Research Council MC_U123092720NCRR NIH HHS S10 RR029392NICHD NIH HHS R01 HD012252NICHD NIH HHS R01HD012252NICHD NIH HHS R01 HD053685NICHD NIH HHS R01HD053685NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

objectivesGenome wide association studies have shown 32 loci to influence BMI in European-American adults but replication in other studies is inconsistent and may be attributed to gene-by-age effects. The aims of this study were to determine if the influence of the summed risk score of these 32 loci (GRS) on BMI differed across age from birth to 40 years, and to determine if additive genetic effects other than those in the GRS differed by age.

methodsSerial measures of BMI were calculated at 0, 1, 3, 6, 9, 12, 18, and 28 months, and 4, 7, 11, 15, 19, 23, 30, and 40 years for 1,176 (605 females, 571 males) European-American participants in the Fels Longitudinal Study. SOLAR was used for genetic analyses.

resultsGRS was significant (P < 0.05) at ages: 6, 9 months, 4-15 years, and 23-40 years. Remaining additive genetic effects independently influenced BMI (P < 5.3 × 10(-5) , 0.40 < h(2) < 0.76). Some genetic correlations between ages were not significant. Differential GRS effects did not retain significance after multiple comparisons adjustments.

conclusionsWhile well-known BMI variants do not appear to have significant differential effects, other additive genes differ over the lifespan.

Indexed as

AgingBody Mass IndexGenetic Predisposition to DiseaseAdolescentAdultChildChild, PreschoolFemaleGenetic LociGenome-Wide Association StudyHumansInfantLongitudinal StudiesMaleObesityOhio

Identifiers

PMID23794238
PMCPMC3883986

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Registered trials

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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.