Evidence map›Paper›PMID 29211904›Full record

ArticleInternational journal of epidemiology2018

Associations between genetic variants associated with body mass index and trajectories of body fatness across the life course: a longitudinal analysis.

Mingyang Song, Yan Zheng, Lu Qi, Frank B Hu, Andrew T Chan, Edward L Giovannucci

Abstract read
In one paragraph

Article in International journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

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  11. Trajectory analysis in obesity epidemiology: a promising life course approach.Current opinion in endocrine and metabolic research · 2019
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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

6 authors.

Mingyang SongClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Yan ZhengDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Lu QiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Andrew T ChanClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Edward L GiovannucciDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Sleep Duration, Childhood Energy Balance, and Insulin Resistance in AdolescenceU54CA155626 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B · 2011 to 2015
$9.6M
NCI NIH HHS R01 CA049449NCI NIH HHS U01 CA167552NCI NIH HHS U54 CA155626NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

Background: The genetic associations with trajectories of body fatness over the life course remain unknown. Methods: We used a group-based modelling approach to identify trajectories of body fatness from age 5 years up to 65 for 7277 women from the Nurses' Health Study and 4645 men from the Health Professionals Follow-up Study. We created a genetic risk score (GRS) based on 97 variants associated with adulthood body mass index (BMI) and estimated its association with trajectories using logistic regression. Results: We identified four distinct trajectories: lean-medium, medium-medium, lean-heavy and medium-heavy. The GRS increased across the four groups in that order (P < 0.001); 47% of women and 45% of men in the first decile of the GRS were in the lean-medium group, and these proportions reduced to 26% and 28%, respectively, for the highest decile. The corresponding proportions in the medium-heavy group were 8% and 5%, increasing to 21% and 14%, respectively. For women, compared with the odds of being in the lean-medium group, a 10-allele increment in the GRS was associated with a 40% [95% confidence interval (CI), 27-54%], 43% (30-58%), and 115% (91-143%) increase in the odds of being in the medium-medium, lean-heavy and medium-heavy groups, respectively. For men, the corresponding increases in the odds were 26% (12-42%), 27% (13-43%), and 81% (53-115%), respectively. Conclusions: Individuals with genetic variants for adulthood BMI were more likely to maintain a heavy body shape and gain weight throughout life. These findings support a persistent effect of genetic variants on body fatness across the lifespan.

Indexed as

Body Mass IndexGenetic Predisposition to DiseaseAdiposityAdolescentAdultAgedChildChild, PreschoolFemaleGenetic VariationHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedObesity

Identifiers

PMID29211904
PMCPMC5913610

What OpenQuestion holds

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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.