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

Open access
Valsesia, Armand, Wang, Qiao-Ping, Gheldof, Nele, Carayol, Jérôme, Ruffieux, Hélène, Clark, Teleri, Shenton, Victoria, Oyston, Lisa J., Lefebvre, Gregory, Metairon, Sylviane, Chabert, Christian, Walter, Ondine, Mironova, Polina, Lau, Paulina, Descombes, Patrick, Viguerie, Nathalie, Langin, Dominique, Harper, Mary-Ellen, Astrup, Arne, Saris, Wim H., Dent, Robert, Neely, Greg G., Hager, Jörg·2019·Nature Communications

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.

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Metadata

Authors
Valsesia, A., Wang, Q.-P., Gheldof, N., Carayol, J., Ruffieux, H., Clark, T., Shenton, V., Oyston, L. J., Lefebvre, G., Metairon, S., Chabert, C., Walter, O., Mironova, P., Lau, P., Descombes, P., Viguerie, N., Langin, D., Harper, M.-E., Astrup, A., Saris, W. H., Dent, R., Neely, G. G., & Hager, J.
Venue
Nature Communications
Published
2019-02-01
Volume
10
Issue
1
Pages
540-540
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2912664120
Cited by
1,073
References
17
FWCI
142.75
Type
journal article
Language
en
Open access
gold

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The paper
Valsesia, A., Wang, Q.-P., Gheldof, N., Carayol, J., Ruffieux, H., Clark, T., Shenton, V., Oyston, L. J., Lefebvre, G., Metairon, S., Chabert, C., Walter, O., Mironova, P., Lau, P., Descombes, P., Viguerie, N., Langin, D., Harper, M.-E., Astrup, A., . . . Hager, J. (2019). Genome-wide gene-based analyses of weight loss interventions identify a potential role for NKX6.3 in metabolism. Nature Communications. https://doi.org/10.1038/s41467-019-08492-8

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.