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Genetic predictors of weight loss in overweight and obese subjects

The aim of our study was to investigate a large cohort of overweight subjects consuming a homogeneous diet to identify the genetic factors associated with weight loss that could be used as predictive markers in weight loss interventions. We retrospectively recruited subjects (N = 788) aged over 18 y...

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Autores principales: Lamiquiz-Moneo, Itziar, Mateo-Gallego, Rocío, Bea, Ana M., Dehesa-García, Blanca, Pérez-Calahorra, Sofía, Marco-Benedí, Victoria, Baila-Rueda, Lucía, Laclaustra, Martín, Civeira, Fernando, Cenarro, Ana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6656717/
https://www.ncbi.nlm.nih.gov/pubmed/31341224
http://dx.doi.org/10.1038/s41598-019-47283-5
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author Lamiquiz-Moneo, Itziar
Mateo-Gallego, Rocío
Bea, Ana M.
Dehesa-García, Blanca
Pérez-Calahorra, Sofía
Marco-Benedí, Victoria
Baila-Rueda, Lucía
Laclaustra, Martín
Civeira, Fernando
Cenarro, Ana
author_facet Lamiquiz-Moneo, Itziar
Mateo-Gallego, Rocío
Bea, Ana M.
Dehesa-García, Blanca
Pérez-Calahorra, Sofía
Marco-Benedí, Victoria
Baila-Rueda, Lucía
Laclaustra, Martín
Civeira, Fernando
Cenarro, Ana
author_sort Lamiquiz-Moneo, Itziar
collection PubMed
description The aim of our study was to investigate a large cohort of overweight subjects consuming a homogeneous diet to identify the genetic factors associated with weight loss that could be used as predictive markers in weight loss interventions. We retrospectively recruited subjects (N = 788) aged over 18 years with a Body Mass Index (BMI) between 25 and 40 kg/m(2) who were treated at our lipid unit for at least one year from 2008 to 2016, and we also recruited a control group (168 patients) with normal BMIs. All participants received counselling from a nutritionist that included healthy diet and physical activity recommendations. We genotyped 25 single nucleotide variants (SNVs) in 25 genes that were previously associated with obesity and calculated genetic scores that were derived from 25 SNVs. The risk allele in CADM2 showed a higher frequency in overweight and obese subjects than in controls (p = 0.007). The mean follow-up duration was 5.58 ± 2.68 years. Subjects with lower genetic scores showed greater weight loss during the follow-up period. The genetic score was the variable that best explained the variations in weight from the baseline. The genetic score explained 2.4% of weight change variance at one year and 1.6% of weight change variance at the end of the follow-up period after adjusting for baseline weight, sex, age and years of follow-up.
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spelling pubmed-66567172019-07-29 Genetic predictors of weight loss in overweight and obese subjects Lamiquiz-Moneo, Itziar Mateo-Gallego, Rocío Bea, Ana M. Dehesa-García, Blanca Pérez-Calahorra, Sofía Marco-Benedí, Victoria Baila-Rueda, Lucía Laclaustra, Martín Civeira, Fernando Cenarro, Ana Sci Rep Article The aim of our study was to investigate a large cohort of overweight subjects consuming a homogeneous diet to identify the genetic factors associated with weight loss that could be used as predictive markers in weight loss interventions. We retrospectively recruited subjects (N = 788) aged over 18 years with a Body Mass Index (BMI) between 25 and 40 kg/m(2) who were treated at our lipid unit for at least one year from 2008 to 2016, and we also recruited a control group (168 patients) with normal BMIs. All participants received counselling from a nutritionist that included healthy diet and physical activity recommendations. We genotyped 25 single nucleotide variants (SNVs) in 25 genes that were previously associated with obesity and calculated genetic scores that were derived from 25 SNVs. The risk allele in CADM2 showed a higher frequency in overweight and obese subjects than in controls (p = 0.007). The mean follow-up duration was 5.58 ± 2.68 years. Subjects with lower genetic scores showed greater weight loss during the follow-up period. The genetic score was the variable that best explained the variations in weight from the baseline. The genetic score explained 2.4% of weight change variance at one year and 1.6% of weight change variance at the end of the follow-up period after adjusting for baseline weight, sex, age and years of follow-up. Nature Publishing Group UK 2019-07-24 /pmc/articles/PMC6656717/ /pubmed/31341224 http://dx.doi.org/10.1038/s41598-019-47283-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Lamiquiz-Moneo, Itziar
Mateo-Gallego, Rocío
Bea, Ana M.
Dehesa-García, Blanca
Pérez-Calahorra, Sofía
Marco-Benedí, Victoria
Baila-Rueda, Lucía
Laclaustra, Martín
Civeira, Fernando
Cenarro, Ana
Genetic predictors of weight loss in overweight and obese subjects
title Genetic predictors of weight loss in overweight and obese subjects
title_full Genetic predictors of weight loss in overweight and obese subjects
title_fullStr Genetic predictors of weight loss in overweight and obese subjects
title_full_unstemmed Genetic predictors of weight loss in overweight and obese subjects
title_short Genetic predictors of weight loss in overweight and obese subjects
title_sort genetic predictors of weight loss in overweight and obese subjects
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6656717/
https://www.ncbi.nlm.nih.gov/pubmed/31341224
http://dx.doi.org/10.1038/s41598-019-47283-5
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