Evidence map›Paper›PMID 26692578›Full record

ReviewObesity (Silver Spring, Md.)2016

NIH working group report-using genomic information to guide weight management: From universal to precision treatment.

Molly S Bray, Ruth J F Loos, Jeanne M McCaffery, Charlotte Ling, Paul W Franks, George M Weinstock, Michael P Snyder, Jason L Vassy, Tanya Agurs-Collins, Conference Working Group

Erratum issued 2 registry-linked trialsOpen access · bronzeAbstract readReview
In one paragraph

Review in Obesity (Silver Spring, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 2 registered trials, which are not on this map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
8.5field-weighted citation impact, top 2% 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.

NCT03400696 nacompletednot on this mapstarted 2017, after this paper: background citation

Web-based Weight Loss Intervention

TypeinterventionalSponsor23andMe, Inc.Ran2017 to 2019Enrolled63,656ConditionsOverweight and ObesityArmsLower carbohydrate diet, Higher fiber diet, Physical activity focused
NCT04959318 nacompletednot on this mapstarted 2019, after this paper: background citation

Precision Nutrition Impact on Health-Related Behavior Change in Active Duty Service Members

TypeinterventionalSponsorMadigan Army Medical CenterRan2019 to 2021Enrolled138ConditionsMetabolic SyndromeArmsProfessional nutrition counseling, No professional nutrition counseling
3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 2 syntheses or guidelines pooled it, 136 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. Obesity and Depression: A Pathophysiotoxic Relationship.International journal of molecular sciences · 2025
    Review
  10. Article
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  12. Obesity as a Disease: A Primer on Clinical and Physiological Insights.Methodist DeBakey cardiovascular journal · 2025
    Review
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  14. Review
  15. Article
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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 8 institutions in 2 countries.

Molly S BrayDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, Texas, USA.
Ruth J F LoosDepartment of Preventive Medicine, The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
Jeanne M McCafferyDepartment of Psychiatry and Human Behavior, Weight Control and Diabetes Research Center, The Alpert Medical School of Brown University/The Miriam Hospital, Providence, Rhode Island, USA.
Charlotte LingDepartment of Clinical Sciences, Skåne University Hospital, Malmö, Sweden.
Paul W FranksDepartment of Clinical Sciences, Skåne University Hospital, Malmö, Sweden.
George M WeinstockThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA.
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, California, USA.
Jason L VassyDivision of General Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Tanya Agurs-CollinsDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Conference Working Group
Skåne University Hospital · SEBrigham and Women's Hospital · USChild Health and Development Institute · USJackson Laboratory · USMiriam Hospital · USNational Institutes of Health · USStanford University · USThe University of Texas at Austin · US

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Shuibing Chen · 2015 to 2026
$27.7M
Training Interventions and Genetics of Exercise Response (TIGER)R01DK062148 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BRAY, MOLLY · 2003 to 2014
$6.0M
Epigenetic and Genetic Mechanisms Driving Exercise Response and AdherenceR21DK104985 · NIDDK · UNIVERSITY OF TEXAS AT AUSTIN · PI BRAY, MOLLY · 2014 to 2014
$232k
Clinical safety and efficacy of pharmacogenetics in Veteran careIK2CX001262 · VA · VA BOSTON HEALTH CARE SYSTEM · PI VASSY, JASON L · 2016 to 2021
–
CSRD VA IK2 CX001262NIDDK NIH HHS P30 DK020541NIDDK NIH HHS R01 DK062148NIDDK NIH HHS R21 DK104985
6 · The paper itself

Abstract

objectivePrecision medicine utilizes genomic and other data to optimize and personalize treatment. Although more than 2,500 genetic tests are currently available, largely for extreme and/or rare phenotypes, the question remains whether this approach can be used for the treatment of common, complex conditions like obesity, inflammation, and insulin resistance, which underlie a host of metabolic diseases.

methodsThis review, developed from a Trans-NIH Conference titled "Genes, Behaviors, and Response to Weight Loss Interventions," provides an overview of the state of genetic and genomic research in the area of weight change and identifies key areas for future research.

resultsAlthough many loci have been identified that are associated with cross-sectional measures of obesity/body size, relatively little is known regarding the genes/loci that influence dynamic measures of weight change over time. Although successful short-term weight loss has been achieved using many different strategies, sustainable weight loss has proven elusive for many, and there are important gaps in our understanding of energy balance regulation.

conclusionsElucidating the molecular basis of variability in weight change has the potential to improve treatment outcomes and inform innovative approaches that can simultaneously take into account information from genomic and other sources in devising individualized treatment plans.

Indexed as

GenomicsPrecision MedicineCross-Sectional StudiesEnergy MetabolismHumansNational Institutes of Health (U.S.)ObesityResearch ReportTreatment OutcomeUnited StatesWeight Reduction Programs

Identifiers

PMID26692578
PMCPMC4689320
OpenAlexW2232812318

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.