Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss
PurposeObesity 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...
Ausführliche Beschreibung
Autor*in: |
Alejandra Mera-Charria [verfasserIn] Francisco Nieto-Lopez [verfasserIn] Manel Pacareu Francès [verfasserIn] Priscila Marques Arbex [verfasserIn] Laura Vila-Vecilla [verfasserIn] Valentina Russo [verfasserIn] Carolina Costa Vicente Silva [verfasserIn] Gustavo Torres De Souza [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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In: Frontiers in Nutrition - Frontiers Media S.A., 2014, 10(2023) |
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Übergeordnetes Werk: |
volume:10 ; year:2023 |
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DOI / URN: |
10.3389/fnut.2023.1274662 |
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DOAJ094642818 |
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520 | |a PurposeObesity 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.MethodsThe 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.ResultsIn 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.ConclusionThis 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. | ||
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10.3389/fnut.2023.1274662 doi (DE-627)DOAJ094642818 (DE-599)DOAJe0af20b86b4a4030b08a0a839e7f0dd8 DE-627 ger DE-627 rakwb eng TX341-641 Alejandra Mera-Charria verfasserin aut Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier PurposeObesity 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.MethodsThe 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.ResultsIn 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.ConclusionThis 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. obesity weight loss genetics single nucleotide polymorphism bariatric surgery Nutrition. Foods and food supply Francisco Nieto-Lopez verfasserin aut Francisco Nieto-Lopez verfasserin aut Manel Pacareu Francès verfasserin aut Priscila Marques Arbex verfasserin aut Laura Vila-Vecilla verfasserin aut Valentina Russo verfasserin aut Carolina Costa Vicente Silva verfasserin aut Gustavo Torres De Souza verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 10(2023) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:10 year:2023 https://doi.org/10.3389/fnut.2023.1274662 kostenfrei https://doaj.org/article/e0af20b86b4a4030b08a0a839e7f0dd8 kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2023.1274662/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 10 2023 |
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10.3389/fnut.2023.1274662 doi (DE-627)DOAJ094642818 (DE-599)DOAJe0af20b86b4a4030b08a0a839e7f0dd8 DE-627 ger DE-627 rakwb eng TX341-641 Alejandra Mera-Charria verfasserin aut Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier PurposeObesity 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.MethodsThe 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.ResultsIn 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.ConclusionThis 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. obesity weight loss genetics single nucleotide polymorphism bariatric surgery Nutrition. Foods and food supply Francisco Nieto-Lopez verfasserin aut Francisco Nieto-Lopez verfasserin aut Manel Pacareu Francès verfasserin aut Priscila Marques Arbex verfasserin aut Laura Vila-Vecilla verfasserin aut Valentina Russo verfasserin aut Carolina Costa Vicente Silva verfasserin aut Gustavo Torres De Souza verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 10(2023) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:10 year:2023 https://doi.org/10.3389/fnut.2023.1274662 kostenfrei https://doaj.org/article/e0af20b86b4a4030b08a0a839e7f0dd8 kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2023.1274662/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 10 2023 |
allfields_unstemmed |
10.3389/fnut.2023.1274662 doi (DE-627)DOAJ094642818 (DE-599)DOAJe0af20b86b4a4030b08a0a839e7f0dd8 DE-627 ger DE-627 rakwb eng TX341-641 Alejandra Mera-Charria verfasserin aut Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier PurposeObesity 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.MethodsThe 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.ResultsIn 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.ConclusionThis 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. obesity weight loss genetics single nucleotide polymorphism bariatric surgery Nutrition. Foods and food supply Francisco Nieto-Lopez verfasserin aut Francisco Nieto-Lopez verfasserin aut Manel Pacareu Francès verfasserin aut Priscila Marques Arbex verfasserin aut Laura Vila-Vecilla verfasserin aut Valentina Russo verfasserin aut Carolina Costa Vicente Silva verfasserin aut Gustavo Torres De Souza verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 10(2023) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:10 year:2023 https://doi.org/10.3389/fnut.2023.1274662 kostenfrei https://doaj.org/article/e0af20b86b4a4030b08a0a839e7f0dd8 kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2023.1274662/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 10 2023 |
allfieldsGer |
10.3389/fnut.2023.1274662 doi (DE-627)DOAJ094642818 (DE-599)DOAJe0af20b86b4a4030b08a0a839e7f0dd8 DE-627 ger DE-627 rakwb eng TX341-641 Alejandra Mera-Charria verfasserin aut Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier PurposeObesity 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.MethodsThe 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.ResultsIn 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.ConclusionThis 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. obesity weight loss genetics single nucleotide polymorphism bariatric surgery Nutrition. Foods and food supply Francisco Nieto-Lopez verfasserin aut Francisco Nieto-Lopez verfasserin aut Manel Pacareu Francès verfasserin aut Priscila Marques Arbex verfasserin aut Laura Vila-Vecilla verfasserin aut Valentina Russo verfasserin aut Carolina Costa Vicente Silva verfasserin aut Gustavo Torres De Souza verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 10(2023) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:10 year:2023 https://doi.org/10.3389/fnut.2023.1274662 kostenfrei https://doaj.org/article/e0af20b86b4a4030b08a0a839e7f0dd8 kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2023.1274662/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 10 2023 |
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10.3389/fnut.2023.1274662 doi (DE-627)DOAJ094642818 (DE-599)DOAJe0af20b86b4a4030b08a0a839e7f0dd8 DE-627 ger DE-627 rakwb eng TX341-641 Alejandra Mera-Charria verfasserin aut Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier PurposeObesity 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.MethodsThe 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.ResultsIn 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.ConclusionThis 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. obesity weight loss genetics single nucleotide polymorphism bariatric surgery Nutrition. Foods and food supply Francisco Nieto-Lopez verfasserin aut Francisco Nieto-Lopez verfasserin aut Manel Pacareu Francès verfasserin aut Priscila Marques Arbex verfasserin aut Laura Vila-Vecilla verfasserin aut Valentina Russo verfasserin aut Carolina Costa Vicente Silva verfasserin aut Gustavo Torres De Souza verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 10(2023) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:10 year:2023 https://doi.org/10.3389/fnut.2023.1274662 kostenfrei https://doaj.org/article/e0af20b86b4a4030b08a0a839e7f0dd8 kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2023.1274662/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 10 2023 |
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PurposeObesity 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.MethodsThe 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.ResultsIn 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.ConclusionThis 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. |
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PurposeObesity 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.MethodsThe 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.ResultsIn 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.ConclusionThis 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. |
abstract_unstemmed |
PurposeObesity 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.MethodsThe 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.ResultsIn 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.ConclusionThis 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. |
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Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss |
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https://doi.org/10.3389/fnut.2023.1274662 https://doaj.org/article/e0af20b86b4a4030b08a0a839e7f0dd8 https://www.frontiersin.org/articles/10.3389/fnut.2023.1274662/full https://doaj.org/toc/2296-861X |
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Francisco Nieto-Lopez Manel Pacareu Francès Priscila Marques Arbex Laura Vila-Vecilla Valentina Russo Carolina Costa Vicente Silva Gustavo Torres De Souza |
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Francisco Nieto-Lopez Manel Pacareu Francès Priscila Marques Arbex Laura Vila-Vecilla Valentina Russo Carolina Costa Vicente Silva Gustavo Torres De Souza |
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