Evidence map›Paper›PMID 26374450›Full record

ArticleInternational journal of obesity (2005)2016

Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age.

G Rukh, S Ahmad, U Ericson, G Hindy, T Stocks, F Renström, P Almgren, P M Nilsson, O Melander, P W Franks and 1 more

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

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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

11 authors.

G RukhDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center (LUDC), Lund University, Malmö, Sweden.
S AhmadGenetic and Molecular Epidemiology Unit, Lund University Diabetes Center, Department of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden.
U EricsonDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center (LUDC), Lund University, Malmö, Sweden.
G HindyDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center (LUDC), Lund University, Malmö, Sweden.
T StocksDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center (LUDC), Lund University, Malmö, Sweden.
F RenströmGenetic and Molecular Epidemiology Unit, Lund University Diabetes Center, Department of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden.
P AlmgrenDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center (LUDC), Lund University, Malmö, Sweden.
P M NilssonDepartment of Internal Medicine, Skåne University Hospital, Lund University, Malmö, Sweden.
O MelanderDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center (LUDC), Lund University, Malmö, Sweden.
P W FranksGenetic and Molecular Epidemiology Unit, Lund University Diabetes Center, Department of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden.
M Orho-MelanderDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center (LUDC), Lund University, Malmö, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectiveGenome-wide-association studies have identified numerous body mass index (BMI)-associated variants, but it is unclear how these relate to weight gain in adults at different ages.

methodsWe examined the association of a genetic risk score (GRS), consisting of 31 BMI-associated variants, with an annual weight change (AWC) and a substantial weight gain (SWG) of 10% by comparing self-reported weight at 20 years (y) with baseline weight (mean: 58 y; s.d.: 8 y) in 21407 participants from the Malmö Diet and Cancer Study (MDCS), and comparing baseline weight to weight at follow-up (mean: 73 y; s.d.: 6 y) among 2673 participants. Association between GRS and AWG and SWG was replicated in 4327 GLACIER (Gene x Lifestyle interactions And Complex traits Involved in Elevated disease Risk) participants (mean: 45 y; s.d.: 7 y) with 10 y follow-up. Cohort-specific results were pooled by fixed-effect meta-analyses.

resultsIn MDCS, the GRS was associated with increased AWC (β: 0.003; s.e: 0.01; P: 7 × 10(-8)) and increased odds for SWG (odds ratio (OR) 1.01 (95% confidence interval (CI): 1.00, 1.02); P: 0.013) per risk-allele from age 20y, but unexpectedly with decreased AWC (β: -0.006; s.e: 0.002; P: 0.009) and decreased odds for SWG OR 0.96 (95% CI: 0.93, 0.98); P: 0.001) between baseline and follow-up. Effect estimates from age 20 y to baseline differed significantly from those from baseline to follow-up (P: 0.0002 for AWC and P: 0.0001 for SWG). Similar to MDCS, the GRS was associated with decreased odds for SWG OR 0.98 (95% CI: 0.96, 1.00); P: 0.029) from baseline to follow-up in GLACIER. In meta-analyses (n=7000), the GRS was associated with decreased AWC (β: -0.005; s.e.m. 0.002; P: 0.002) and decreased odds for SWG OR 0.97 (95% CI: 0.96, 0.99); P: 0.001) per risk-allele.

conclusionsOur results provide convincing evidence for a paradoxical inversed relationship between a high number of BMI-associated risk-alleles and less weight gain during and after middle-age, in contrast to the expected increased weight gain seen in younger age.

Indexed as

Genome-Wide Association StudyWhite PeopleAdultAllelesBody Mass IndexFemaleFollow-Up StudiesGenetic LociGenetic Predisposition to DiseaseHumansLife StyleMaleMiddle AgedObesityPolymorphism, Single NucleotideRisk Factors

Identifiers

PMID26374450
PMCPMC4753358

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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.