Evidence map›Paper›PMID 30710084›Full record

ArticleNature communications2019

Genome-wide gene-based analyses of weight loss interventions identify a potential role for NKX6.3 in metabolism.

Armand Valsesia, Qiao-Ping Wang, Nele Gheldof, Jérôme Carayol, Hélène Ruffieux, Teleri Clark, Victoria Shenton, Lisa J Oyston, Gregory Lefebvre, Sylviane Metairon and 13 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
188.6field-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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,072 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Genome writing and Targeted Delivery of thebioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. [Innovative Practices of Precision Nutrition in Obesity Intervention: From Theory to Application].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Observational
  11. Review
  12. Article
  13. Review
  14. Life (Basel, Switzerland) · 2022
    Article
  15. Epigenetics in Precision Nutrition.Journal of personalized medicine · 2022
    Review
  16. Review
  17. Article
  18. The "Virtual Digital Twins" Concept in Precision Nutrition.Advances in nutrition (Bethesda, Md.) · 2020
    Article
  19. Article
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

23 authors at 8 institutions in 8 countries.

Armand ValsesiaNestlé Institute of Health Sciences, 1015, Lausanne, Switzerland. Armand.Valsesia@rd.nestle.com.
Qiao-Ping WangFunctional Genomics group, Charles Perkins Centre, University of Sydney, 2006, Sydney, NSW, Australia.
Nele GheldofNestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Jérôme CarayolNestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-0049-0244
Hélène RuffieuxNestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Teleri ClarkFunctional Genomics group, Charles Perkins Centre, University of Sydney, 2006, Sydney, NSW, Australia.
Victoria ShentonFunctional Genomics group, Charles Perkins Centre, University of Sydney, 2006, Sydney, NSW, Australia.
Lisa J OystonFunctional Genomics group, Charles Perkins Centre, University of Sydney, 2006, Sydney, NSW, Australia.
Gregory LefebvreNestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Sylviane MetaironNestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-2434-8733
Christian ChabertNestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Ondine WalterNestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Polina MironovaNestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Paulina LauOttawa Hospital Weight Management Clinic, The Ottawa Hospital, K1Y 4E9, Ottawa, ON, Canada.
Patrick DescombesNestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-1274-247X
Nathalie ViguerieInstitute of Metabolic and Cardiovascular Diseases, INSERM, Paul Sabatier University, UMR 1048, Obesity Research Laboratory, University of Toulouse, 31432, Toulouse, France.ORCID http://orcid.org/0000-0002-1730-9915
Dominique LanginInstitute of Metabolic and Cardiovascular Diseases, INSERM, Paul Sabatier University, UMR 1048, Obesity Research Laboratory, University of Toulouse, 31432, Toulouse, France.ORCID http://orcid.org/0000-0002-2669-7825
Mary-Ellen HarperDepartment of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, K1H 8M5, ON, Canada.ORCID http://orcid.org/0000-0003-3864-5886
Arne AstrupDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, 2200, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-8968-8996
Wim H SarisDepartment of Human Biology, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+(MUMC+), 6211, Maastricht, The Netherlands.ORCID http://orcid.org/0000-0003-0985-0047
Robert DentEcole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.
Greg G NeelyFunctional Genomics group, Charles Perkins Centre, University of Sydney, 2006, Sydney, NSW, Australia.
Jörg HagerNestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Nestlé (Switzerland) · CHThe University of Sydney · AUUniversité Toulouse III - Paul Sabatier · FRÉcole Polytechnique Fédérale de Lausanne · CHMaastricht University Medical Centre · NLOttawa Hospital · CAUniversity of Copenhagen · DKUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hundreds of genetic variants have been associated with Body Mass Index (BMI) through genome-wide association studies (GWAS) using observational cohorts. However, the genetic contribution to efficient weight loss in response to dietary intervention remains unknown. We perform a GWAS in two large low-caloric diet intervention cohorts of obese participants. Two loci close to NKX6.3/MIR486 and RBSG4 are identified in the Canadian discovery cohort (n = 1166) and replicated in the DiOGenes cohort (n = 789). Modulation of HGTX (NKX6.3 ortholog) levels in Drosophila melanogaster leads to significantly altered triglyceride levels. Additional tissue-specific experiments demonstrate an action through the oenocytes, fly hepatocyte-like cells that regulate lipid metabolism. Our results identify genetic variants associated with the efficacy of weight loss in obese subjects and identify a role for NKX6.3 in lipid metabolism, and thereby possibly weight control.

Indexed as

Genome-Wide Association StudyAdultAnimalsBayes TheoremCohort StudiesDrosophila melanogasterDrosophila ProteinsFemaleHomeodomain ProteinsHumansMaleMiddle AgedPolymorphism, Single NucleotideRisk FactorsTranscription FactorsTriglyceridesDrosophila ProteinsHGTX protein, DrosophilaHomeodomain ProteinsNkx6-3 protein, humanTranscription FactorsTriglycerides

Identifiers

PMID30710084
PMCPMC6358625
OpenAlexW2912664120

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.