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

Individuals show large variability in their capacity to lose weight and maintain this weight. Here, the authors perform GWAS in two weight loss intervention cohorts and identify two genetic loci associated with weight loss that are taken forward for Bayesian fine-mapping and functional assessment in...

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Autores principales: Armand Valsesia, Qiao-Ping Wang, Nele Gheldof, Jérôme Carayol, Hélène Ruffieux, Teleri Clark, Victoria Shenton, Lisa J. Oyston, Gregory Lefebvre, Sylviane Metairon, Christian Chabert, Ondine Walter, Polina Mironova, Paulina Lau, Patrick Descombes, Nathalie Viguerie, Dominique Langin, Mary-Ellen Harper, Arne Astrup, Wim H. Saris, Robert Dent, Greg G. Neely, Jörg Hager
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/69e3b05bacbb4d4db475ac38f90a9bda
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Sumario:Individuals show large variability in their capacity to lose weight and maintain this weight. Here, the authors perform GWAS in two weight loss intervention cohorts and identify two genetic loci associated with weight loss that are taken forward for Bayesian fine-mapping and functional assessment in flies.