Evidence map›Paper›PMID 25350854›Full record

ArticlePloS one2014

Interaction between genetic predisposition to adiposity and dietary protein in relation to subsequent change in body weight and waist circumference.

Mikkel Z Ankarfeldt, Sofus C Larsen, Lars Ängquist, Lise Lotte N Husemoen, Nina Roswall, Kim Overvad, Marianne Uhre Jakobsen, Jytte Halkjær, Anne Tjønneland, Allan Linneberg and 6 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 4 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

10 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Polygenic Risk and Nutrient Intake Interactions on Obesity Outcomes: A Systematic Review and Meta-Analysis of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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  5. Review
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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

16 authors.

Mikkel Z AnkarfeldtInstitute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, the Capital Region, Copenhagen, Denmark; Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Sofus C LarsenInstitute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, the Capital Region, Copenhagen, Denmark; Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Lars ÄngquistInstitute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, the Capital Region, Copenhagen, Denmark.
Lise Lotte N HusemoenResearch Centre for Prevention and Health, Glostrup University Hospital, Copenhagen, Denmark.
Nina RoswallDanish Cancer Society Research Center, Copenhagen, Denmark.
Kim OvervadSection for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark; Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark.
Marianne Uhre JakobsenSection for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark.
Jytte HalkjærDanish Cancer Society Research Center, Copenhagen, Denmark.
Anne TjønnelandDanish Cancer Society Research Center, Copenhagen, Denmark.
Allan LinnebergResearch Centre for Prevention and Health, Glostrup University Hospital, Copenhagen, Denmark.
Ulla ToftResearch Centre for Prevention and Health, Glostrup University Hospital, Copenhagen, Denmark.
Torben HansenThe Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Oluf PedersenThe Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Berit L HeitmannInstitute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, the Capital Region, Copenhagen, Denmark; The National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark; The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, University of Sydney, Sydney, Australia; National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
Arne AstrupDepartment of Nutrition, Exercise and Sports, NEXS, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
Thorkild I A SørensenInstitute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, the Capital Region, Copenhagen, Denmark; The Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic predisposition to adiposity may interact with dietary protein in relation to changes of anthropometry.

objectiveTo investigate the interaction between genetic predisposition to higher body mass index (BMI), waist circumference (WC) or waist-hip ratio adjusted for BMI (WHRBMI) and dietary protein in relation to subsequent change in body weight (ΔBW) or change in WC (ΔWC).

designThree different Danish cohorts were used. In total 7,054 individuals constituted the study population with information on diet, 50 single-nucleotide polymorphisms (SNPs) associated with BMI, WC or WHRBMI, as well as potential confounders. Mean follow-up time was ∼5 years. Four genetic predisposition-scores were based on the SNPs; a complete-score including all selected adiposity- associated SNPs, and three scores including BMI, WC or WHRBMI associated polymorphisms, respectively. The association between protein intake and ΔBW or ΔWC were examined and interactions between SNP-score and protein were investigated. Analyses were based on linear regressions using macronutrient substitution models and meta-analyses.

resultsWhen protein replaced carbohydrate, meta-analyses showed no associations with ΔBW (41.0 gram/y/5 energy% protein, [95% CI: -32.3; 114.3]) or ΔWC (<-0.1 mm/y/5 energy % protein, [-1.1; 1.1]). Similarly, there were no interactions for any SNP-scores and protein for either ΔBW (complete SNP-score: 1.8 gram/y/5 energy% protein/risk allele, [-7.0; 10.6]) or ΔWC (complete SNP-score: <0.1 mm/y/5 energy% protein/risk allele, [-0.1; 0.1]). Similar results were seen when protein replaced fat.

conclusionThis study indicates that the genetic predisposition to general and abdominal adiposity, assessed by gene-scores, does not seem to modulate the influence of dietary protein on ΔBW or ΔWC.

Indexed as

Body WeightDietary ProteinsGenetic Predisposition to DiseaseWaist CircumferenceAdiposityAdultAllelesAnthropometryBody Mass IndexCohort StudiesDenmarkDietFemaleFollow-Up StudiesGenotypeHumansDietary Proteins

Identifiers

PMID25350854
PMCPMC4211714

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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.