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Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss
PURPOSE: Obesity is a multifactorial condition with a relevant genetic correlation. Recent advances in genomic research have identified several single nucleotide polymorphisms (SNPs) in genes such as FTO, MCM6, HLA, and MC4R, associated with obesity. This study aimed to evaluate the association of 1...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687570/ https://www.ncbi.nlm.nih.gov/pubmed/38035352 http://dx.doi.org/10.3389/fnut.2023.1274662 |
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author | Mera-Charria, Alejandra Nieto-Lopez, Francisco Francès, Manel Pacareu Arbex, Priscila Marques Vila-Vecilla, Laura Russo, Valentina Silva, Carolina Costa Vicente De Souza, Gustavo Torres |
author_facet | Mera-Charria, Alejandra Nieto-Lopez, Francisco Francès, Manel Pacareu Arbex, Priscila Marques Vila-Vecilla, Laura Russo, Valentina Silva, Carolina Costa Vicente De Souza, Gustavo Torres |
author_sort | Mera-Charria, Alejandra |
collection | PubMed |
description | PURPOSE: Obesity is a multifactorial condition with a relevant genetic correlation. Recent advances in genomic research have identified several single nucleotide polymorphisms (SNPs) in genes such as FTO, MCM6, HLA, and MC4R, associated with obesity. This study aimed to evaluate the association of 102 SNPs with BMI and weight loss treatment response in a multi-ethnic population. METHODS: The study analyzed 9,372 patients for the correlation between SNPs and BMI (dataset A). The correlation between SNP and weight loss was accessed in 474 patients undergoing different treatments (dataset B). Patients in dataset B were further divided into 3 categories based on the type of intervention: dietary therapy, intragastric balloon procedures, or surgeries. SNP association analysis and multiple models of inheritance were performed. RESULTS: In dataset A, ten SNPs, including rs9939609 (FTO), rs4988235 (MCM6), and rs2395182 (HLA), were significantly associated with increased BMI. Additionally, other four SNPs, rs7903146 (TCF7L2), (rs6511720), rs5400 (SLC2A2), and rs7498665 (SH2B1), showed sex-specific correlation. For dataset B, SNPs rs2016520 (PPAR-Delta) and rs2419621 (ACSL5) demonstrated significant correlation with weight loss for all treatment types. In patients who adhered to dietary therapy, SNPs rs6544713 (ABCG8) and rs762551 (CYP1A2) were strongly correlated with weight loss. Patients undergoing surgical or endoscopic procedures exhibited differential correlations with several SNPs, including rs1801725 (CASR) and rs12970134 (MC4R), and weight loss. CONCLUSION: This study provides valuable insights into the genetic factors influencing BMI and weight loss response to different treatments. The findings highlight the potential for personalized weight management approaches based on individual genetic profiles. |
format | Online Article Text |
id | pubmed-10687570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106875702023-11-30 Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss Mera-Charria, Alejandra Nieto-Lopez, Francisco Francès, Manel Pacareu Arbex, Priscila Marques Vila-Vecilla, Laura Russo, Valentina Silva, Carolina Costa Vicente De Souza, Gustavo Torres Front Nutr Nutrition PURPOSE: Obesity is a multifactorial condition with a relevant genetic correlation. Recent advances in genomic research have identified several single nucleotide polymorphisms (SNPs) in genes such as FTO, MCM6, HLA, and MC4R, associated with obesity. This study aimed to evaluate the association of 102 SNPs with BMI and weight loss treatment response in a multi-ethnic population. METHODS: The study analyzed 9,372 patients for the correlation between SNPs and BMI (dataset A). The correlation between SNP and weight loss was accessed in 474 patients undergoing different treatments (dataset B). Patients in dataset B were further divided into 3 categories based on the type of intervention: dietary therapy, intragastric balloon procedures, or surgeries. SNP association analysis and multiple models of inheritance were performed. RESULTS: In dataset A, ten SNPs, including rs9939609 (FTO), rs4988235 (MCM6), and rs2395182 (HLA), were significantly associated with increased BMI. Additionally, other four SNPs, rs7903146 (TCF7L2), (rs6511720), rs5400 (SLC2A2), and rs7498665 (SH2B1), showed sex-specific correlation. For dataset B, SNPs rs2016520 (PPAR-Delta) and rs2419621 (ACSL5) demonstrated significant correlation with weight loss for all treatment types. In patients who adhered to dietary therapy, SNPs rs6544713 (ABCG8) and rs762551 (CYP1A2) were strongly correlated with weight loss. Patients undergoing surgical or endoscopic procedures exhibited differential correlations with several SNPs, including rs1801725 (CASR) and rs12970134 (MC4R), and weight loss. CONCLUSION: This study provides valuable insights into the genetic factors influencing BMI and weight loss response to different treatments. The findings highlight the potential for personalized weight management approaches based on individual genetic profiles. Frontiers Media S.A. 2023-11-16 /pmc/articles/PMC10687570/ /pubmed/38035352 http://dx.doi.org/10.3389/fnut.2023.1274662 Text en Copyright © 2023 Mera-Charria, Nieto-Lopez, Francès, Arbex, Vila-Vecilla, Russo, Silva and De Souza. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Nutrition Mera-Charria, Alejandra Nieto-Lopez, Francisco Francès, Manel Pacareu Arbex, Priscila Marques Vila-Vecilla, Laura Russo, Valentina Silva, Carolina Costa Vicente De Souza, Gustavo Torres Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss |
title | Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss |
title_full | Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss |
title_fullStr | Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss |
title_full_unstemmed | Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss |
title_short | Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss |
title_sort | genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687570/ https://www.ncbi.nlm.nih.gov/pubmed/38035352 http://dx.doi.org/10.3389/fnut.2023.1274662 |
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