Author
Listed:
- Armand Valsesia
(Nestlé Institute of Health Sciences)
- Qiao-Ping Wang
(Functional Genomics group, Charles Perkins Centre, University of Sydney
School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University)
- Nele Gheldof
(Nestlé Institute of Health Sciences)
- Jérôme Carayol
(Nestlé Institute of Health Sciences)
- Hélène Ruffieux
(Nestlé Institute of Health Sciences
Ecole Polytechnique Fédérale de Lausanne (EPFL))
- Teleri Clark
(Functional Genomics group, Charles Perkins Centre, University of Sydney)
- Victoria Shenton
(Functional Genomics group, Charles Perkins Centre, University of Sydney)
- Lisa J. Oyston
(Functional Genomics group, Charles Perkins Centre, University of Sydney)
- Gregory Lefebvre
(Nestlé Institute of Health Sciences)
- Sylviane Metairon
(Nestlé Institute of Health Sciences)
- Christian Chabert
(Nestlé Institute of Health Sciences)
- Ondine Walter
(Nestlé Institute of Health Sciences)
- Polina Mironova
(Nestlé Institute of Health Sciences)
- Paulina Lau
(Ottawa Hospital Weight Management Clinic, The Ottawa Hospital)
- Patrick Descombes
(Nestlé Institute of Health Sciences)
- Nathalie Viguerie
(Institute of Metabolic and Cardiovascular Diseases, INSERM, Paul Sabatier University, UMR 1048, Obesity Research Laboratory, University of Toulouse)
- Dominique Langin
(Institute of Metabolic and Cardiovascular Diseases, INSERM, Paul Sabatier University, UMR 1048, Obesity Research Laboratory, University of Toulouse
Toulouse University Hospitals)
- Mary-Ellen Harper
(Faculty of Medicine, University of Ottawa)
- Arne Astrup
(Faculty of Science, University of Copenhagen)
- Wim H. Saris
(Maastricht University Medical Centre+(MUMC+))
- Robert Dent
(Ecole Polytechnique Fédérale de Lausanne (EPFL))
- Greg G. Neely
(Functional Genomics group, Charles Perkins Centre, University of Sydney)
- Jörg Hager
(Nestlé Institute of Health Sciences)
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.
Suggested Citation
Armand Valsesia & Qiao-Ping Wang & Nele Gheldof & Jérôme Carayol & Hélène Ruffieux & Teleri Clark & Victoria Shenton & Lisa J. Oyston & Gregory Lefebvre & Sylviane Metairon & Christian Chabert & Ondin, 2019.
"Genome-wide gene-based analyses of weight loss interventions identify a potential role for NKX6.3 in metabolism,"
Nature Communications, Nature, vol. 10(1), pages 1-10, December.
Handle:
RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-08492-8
DOI: 10.1038/s41467-019-08492-8
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