Evidence map›Paper›PMID 27650503›Full record

SynthesisBMJ (Clinical research ed.)2016

FTO genotype and weight loss: systematic review and meta-analysis of 9563 individual participant data from eight randomised controlled trials.

Katherine M Livingstone, Carlos Celis-Morales, George D Papandonatos, Bahar Erar, Jose C Florez, Kathleen A Jablonski, Cristina Razquin, Amelia Marti, Yoriko Heianza, Tao Huang and 22 more

Erratum issuedOpen access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 54 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 4 pooled it
19.2field-weighted citation impact, top 1% 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

54 citing papers in PubMed, 4 syntheses or guidelines pooled it, 140 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

32 authors at 20 institutions in 11 countries.

Katherine M LivingstoneHuman Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE4 5PL, UK Deakin University, Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Victoria, Australia.
Carlos Celis-MoralesHuman Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE4 5PL, UK BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Science, University of Glasgow, Glasgow, UK.
George D PapandonatosDepartment of Biostatistics, Brown University School of Public Health, Providence, RI, USA.
Bahar ErarDepartment of Biostatistics, Brown University School of Public Health, Providence, RI, USA.
Jose C FlorezDiabetes Unit and Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Kathleen A JablonskiGeorge Washington University Department of Epidemiology and Biostatistics The Biostatistics Center, Rockville, MD, USA.
Cristina RazquinDepartment of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain CIBER Fisiopatologia de la Obesidad y Nutricion and PREDIMED Network from Instituto de Salud Carlos III Spanish Government, Spain.
Amelia MartiCIBER Fisiopatologia de la Obesidad y Nutricion and PREDIMED Network from Instituto de Salud Carlos III Spanish Government, Spain Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain.
Yoriko HeianzaDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Tao HuangDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA Epidemiology Domain, Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Frank M SacksDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Mathilde SvendstrupNovo Nordisk Foundation Centre for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark Danish Diabetes Academy, Odense, Denmark.
Xuemei SuiDepartment of Exercise Science, University of South Carolina, Columbia, SC, USA.
Timothy S ChurchPennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA.
Tiina JääskeläinenInstitute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland Department of Medical and Clinical Genetics, University of Helsinki, Finland.
Jaana LindströmDepartment of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland.
Jaakko TuomilehtoDasman Diabetes Institute, Dasman, Kuwait City, Kuwait Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia.
Matti UusitupaInstitute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
Tuomo RankinenHuman Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA.
Wim H M SarisDepartment of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre +, Maastricht, Netherlands.
Torben HansenNovo Nordisk Foundation Centre for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Oluf PedersenNovo Nordisk Foundation Centre for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Arne AstrupDepartment of Nutrition, Exercise and Sports, Copenhagen University, Rolighedsvej 30, Frederiksberg C, Denmark.
Thorkild I A SørensenNovo Nordisk Foundation Centre for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Denmark.
Lu QiDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
George A BrayPennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA.
Miguel A Martinez-GonzalezCIBER Fisiopatologia de la Obesidad y Nutricion and PREDIMED Network from Instituto de Salud Carlos III Spanish Government, Spain Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain.
J Alfredo MartinezCIBER Fisiopatologia de la Obesidad y Nutricion and PREDIMED Network from Instituto de Salud Carlos III Spanish Government, Spain Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain Food Science and Physiology, Centre for Nutrition Research, University of Navarra, Pamplona, Spain.
Paul W FranksDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden.
Jeanne M McCafferyThe Miriam Hospital and the Alpert School of Medicine, Brown University, Providence, USA.
Jose LaraHuman Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE4 5PL, UK Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK.
John C MathersHuman Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE4 5PL, UK john.mathers@newcastle.ac.uk.
Brown University · USNovo Nordisk Foundation · DKHarvard University · USInstituto de Salud Carlos III · ESLouisiana State University System · USNewcastle University · GBUniversidad de Navarra · ESUniversity of Eastern Finland · FIBroad Institute · USDasman Diabetes Institute · KWFinnish Institute for Health and Welfare · FIFrederiksberg Hospital · DKGeorge Washington University · USLund University · SEMaastricht University Medical Centre · NLNational University of Singapore · SGNorthumbria University · GBPennington Biomedical Research Center · USTulane University · USUniversity of Glasgow · GB

Funding

Fine-mapping and Characterization of Metabolic Loci in the DPP Outcomes StudyR01DK072041 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI FLOREZ, JOSE CARLOS · 2005 to 2017
$7.6M
Weight-Loss Diet Intervention on Cardiometabolic Factors of Gut MicrobiotaR01DK100383 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2014 to 2024
$4.2M
Medical Research Council MR/K025090/1NIDDK NIH HHS R01 DK072041NIDDK NIH HHS R01 DK100383
6 · The paper itself

Abstract

objectiveTo assess the effect of the FTO genotype on weight loss after dietary, physical activity, or drug based interventions in randomised controlled trials.

designSystematic review and random effects meta-analysis of individual participant data from randomised controlled trials. DATA SOURCES: Ovid Medline, Scopus, Embase, and Cochrane from inception to November 2015. ELIGIBILITY CRITERIA FOR STUDY SELECTION: Randomised controlled trials in overweight or obese adults reporting reduction in body mass index, body weight, or waist circumference by FTO genotype (rs9939609 or a proxy) after dietary, physical activity, or drug based interventions. Gene by treatment interaction models were fitted to individual participant data from all studies included in this review, using allele dose coding for genetic effects and a common set of covariates. Study level interactions were combined using random effect models. Metaregression and subgroup analysis were used to assess sources of study heterogeneity.

resultsWe identified eight eligible randomised controlled trials for the systematic review and meta-analysis (n=9563). Overall, differential changes in body mass index, body weight, and waist circumference in response to weight loss intervention were not significantly different between FTO genotypes. Sensitivity analyses indicated that differential changes in body mass index, body weight, and waist circumference by FTO genotype did not differ by intervention type, intervention length, ethnicity, sample size, sex, and baseline body mass index and age category.

conclusionsWe have observed that carriage of the FTO minor allele was not associated with differential change in adiposity after weight loss interventions. These findings show that individuals carrying the minor allele respond equally well to dietary, physical activity, or drug based weight loss interventions and thus genetic predisposition to obesity associated with the FTO minor allele can be at least partly counteracted through such interventions. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42015015969.

Indexed as

AdiposityAllelesAlpha-Ketoglutarate-Dependent Dioxygenase FTOGenetic Predisposition to DiseaseGenotypeHumansObesityRandomized Controlled Trials as TopicWeight LossAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, human

Identifiers

PMID27650503
PMCPMC6168036
OpenAlexW2522596935

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.