Evidence map›Paper›PMID 30123368›Full record

ArticleGenes & nutrition2018

Genetic risk score for adult body mass index associations with childhood and adolescent weight gain in an African population.

Richard J Munthali, Venesa Sahibdeen, Juliana Kagura, Liesl M Hendry, Shane A Norris, Ken K Ong, Felix R Day, Zané Lombard

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes & nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Richard J Munthali1Faculty of Science, School of Molecular and Cell Biology, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0001-8492-7409
Venesa Sahibdeen2Sydney Brenner Institute for Molecular Bioscience (SBIMB), University of the Witwatersrand, The Mount, 9 Jubilee Road, Parktown, Johannesburg, Gauteng 2193 South Africa.
Juliana Kagura3MRC/Wits Developmental Pathways for Health Research Unit (DPHRU), University of the Witwatersrand, Johannesburg, South Africa.
Liesl M Hendry1Faculty of Science, School of Molecular and Cell Biology, University of the Witwatersrand, Johannesburg, South Africa.
Shane A Norris3MRC/Wits Developmental Pathways for Health Research Unit (DPHRU), University of the Witwatersrand, Johannesburg, South Africa.
Ken K Ong3MRC/Wits Developmental Pathways for Health Research Unit (DPHRU), University of the Witwatersrand, Johannesburg, South Africa.
Felix R Day5MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
Zané Lombard1Faculty of Science, School of Molecular and Cell Biology, University of the Witwatersrand, Johannesburg, South Africa.
University of the Witwatersrand · ZANational Health Laboratory Service · ZAUniversity of Cambridge · GB

Funding

Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
Medical Research Council MC_UU_12015/2NHGRI NIH HHS U54 HG006938Wellcome Trust
6 · The paper itself

Abstract

backgroundNinety-seven independent single nucleotide polymorphisms (SNPs) are robustly associated with adult body mass index (BMI kg/m

resultsThe cross-sectional association between the wGRS and BMI strengthened with age from 5 to 18 years. The significant associations were observed from 11 to 18 years, and peak effect sizes were observed at 13 and 14 years of age. Results from the linear mixed effects models showed significant interactions between the wGRS and age on longitudinal BMI but no such interactions were observed in sex and the wGRS. A higher wGRS was associated with an increased relative risk of belonging to the early onset obese longitudinal BMI trajectory (relative risk = 1.88; 95%CI 1.28 to 2.76) compared to belonging to a normal longitudinal BMI trajectory. Adolescent conditional relative weight gain had a suggestive mediation effect of 56% on the association between wGRS and obesity risk at 18 years.

conclusionsThe results suggest that genetic susceptibility to higher adult BMI can be tracked from childhood in this African population. This supports the notion that prevention of adult obesity should begin early in life. The genetic risk score combined with other non-genetic risk factors, such as BMI trajectory membership in our case, has the potential to be used to screen for early identification of individuals at increased risk of obesity and other related NCD risk factors in order to reduce the adverse health risk outcomes later.

Indexed as

Body mass indexChildhood adiposityGenetic risk scoreMediation analysisObesityWeight gain

Identifiers

PMID30123368
PMCPMC6090951
OpenAlexW2887659668

What Socratic 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 Socratic graph.