Cargando…

Interactions between Polygenic Risk Scores, Dietary Pattern, and Menarche Age with the Obesity Risk in a Large Hospital-Based Cohort

Obese Asians are more susceptible to metabolic diseases than obese Caucasians of the same body mass index (BMI). We hypothesized that the genetic variants associated with obesity risk interact with the lifestyles of middle-aged and elderly adults, possibly allowing the development of personalized in...

Descripción completa

Detalles Bibliográficos
Autores principales: Park, Sunmin, Yang, Hye Jeong, Kim, Min Jung, Hur, Haeng Jeon, Kim, Soon-Hee, Kim, Myung-Sunny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622855/
https://www.ncbi.nlm.nih.gov/pubmed/34836030
http://dx.doi.org/10.3390/nu13113772
_version_ 1784605791780601856
author Park, Sunmin
Yang, Hye Jeong
Kim, Min Jung
Hur, Haeng Jeon
Kim, Soon-Hee
Kim, Myung-Sunny
author_facet Park, Sunmin
Yang, Hye Jeong
Kim, Min Jung
Hur, Haeng Jeon
Kim, Soon-Hee
Kim, Myung-Sunny
author_sort Park, Sunmin
collection PubMed
description Obese Asians are more susceptible to metabolic diseases than obese Caucasians of the same body mass index (BMI). We hypothesized that the genetic variants associated with obesity risk interact with the lifestyles of middle-aged and elderly adults, possibly allowing the development of personalized interventions based on genotype. We aimed to examine this hypothesis in a large city hospital-based cohort in Korea. The participants with cancers, thyroid diseases, chronic kidney disease, or brain-related diseases were excluded. The participants were divided into case and control according to their BMI: ≥25 kg/m(2) (case; n = 17,545) and <25 kg/m(2) (control; n = 36,283). The genetic variants that affected obesity risk were selected using a genome-wide association study, and the genetic variants that interacted with each other were identified by generalized multifactor dimensionality reduction analysis. The selected genetic variants were confirmed in the Ansan/Ansung cohort, and polygenetic risk scores (PRS)−nutrient interactions for obesity risk were determined. A high BMI was associated with a high-fat mass (odds ratio (OR) = 20.71) and a high skeletal muscle-mass index (OR = 3.38). A high BMI was positively related to metabolic syndrome and its components, including lipid profiles, whereas the initial menstruation age was inversely associated with a high BMI (OR = 0.78). The best model with 5-SNPs included SEC16B_rs543874, DNAJC27_rs713586, BDNF_rs6265, MC4R_rs6567160, and GIPR_rs1444988703. The high PRS with the 5-SNP model was positively associated with an obesity risk of 1.629 (1.475–1.798) after adjusting for the covariates. The 5-SNP model interacted with the initial menstruation age, fried foods, and plant-based diet for BMI risk. The participants with a high PRS also had a higher obesity risk when combined with early menarche, low plant-based diet, and a high fried-food intake than in participants with late menarche, high plant-based diet, and low fried-food intake. In conclusion, people with a high PRS and earlier menarche age are recommended to consume fewer fried foods and a more plant-based diet to decrease obesity risk. This result can be applied to personalized nutrition for preventing obesity.
format Online
Article
Text
id pubmed-8622855
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-86228552021-11-27 Interactions between Polygenic Risk Scores, Dietary Pattern, and Menarche Age with the Obesity Risk in a Large Hospital-Based Cohort Park, Sunmin Yang, Hye Jeong Kim, Min Jung Hur, Haeng Jeon Kim, Soon-Hee Kim, Myung-Sunny Nutrients Article Obese Asians are more susceptible to metabolic diseases than obese Caucasians of the same body mass index (BMI). We hypothesized that the genetic variants associated with obesity risk interact with the lifestyles of middle-aged and elderly adults, possibly allowing the development of personalized interventions based on genotype. We aimed to examine this hypothesis in a large city hospital-based cohort in Korea. The participants with cancers, thyroid diseases, chronic kidney disease, or brain-related diseases were excluded. The participants were divided into case and control according to their BMI: ≥25 kg/m(2) (case; n = 17,545) and <25 kg/m(2) (control; n = 36,283). The genetic variants that affected obesity risk were selected using a genome-wide association study, and the genetic variants that interacted with each other were identified by generalized multifactor dimensionality reduction analysis. The selected genetic variants were confirmed in the Ansan/Ansung cohort, and polygenetic risk scores (PRS)−nutrient interactions for obesity risk were determined. A high BMI was associated with a high-fat mass (odds ratio (OR) = 20.71) and a high skeletal muscle-mass index (OR = 3.38). A high BMI was positively related to metabolic syndrome and its components, including lipid profiles, whereas the initial menstruation age was inversely associated with a high BMI (OR = 0.78). The best model with 5-SNPs included SEC16B_rs543874, DNAJC27_rs713586, BDNF_rs6265, MC4R_rs6567160, and GIPR_rs1444988703. The high PRS with the 5-SNP model was positively associated with an obesity risk of 1.629 (1.475–1.798) after adjusting for the covariates. The 5-SNP model interacted with the initial menstruation age, fried foods, and plant-based diet for BMI risk. The participants with a high PRS also had a higher obesity risk when combined with early menarche, low plant-based diet, and a high fried-food intake than in participants with late menarche, high plant-based diet, and low fried-food intake. In conclusion, people with a high PRS and earlier menarche age are recommended to consume fewer fried foods and a more plant-based diet to decrease obesity risk. This result can be applied to personalized nutrition for preventing obesity. MDPI 2021-10-25 /pmc/articles/PMC8622855/ /pubmed/34836030 http://dx.doi.org/10.3390/nu13113772 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Park, Sunmin
Yang, Hye Jeong
Kim, Min Jung
Hur, Haeng Jeon
Kim, Soon-Hee
Kim, Myung-Sunny
Interactions between Polygenic Risk Scores, Dietary Pattern, and Menarche Age with the Obesity Risk in a Large Hospital-Based Cohort
title Interactions between Polygenic Risk Scores, Dietary Pattern, and Menarche Age with the Obesity Risk in a Large Hospital-Based Cohort
title_full Interactions between Polygenic Risk Scores, Dietary Pattern, and Menarche Age with the Obesity Risk in a Large Hospital-Based Cohort
title_fullStr Interactions between Polygenic Risk Scores, Dietary Pattern, and Menarche Age with the Obesity Risk in a Large Hospital-Based Cohort
title_full_unstemmed Interactions between Polygenic Risk Scores, Dietary Pattern, and Menarche Age with the Obesity Risk in a Large Hospital-Based Cohort
title_short Interactions between Polygenic Risk Scores, Dietary Pattern, and Menarche Age with the Obesity Risk in a Large Hospital-Based Cohort
title_sort interactions between polygenic risk scores, dietary pattern, and menarche age with the obesity risk in a large hospital-based cohort
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622855/
https://www.ncbi.nlm.nih.gov/pubmed/34836030
http://dx.doi.org/10.3390/nu13113772
work_keys_str_mv AT parksunmin interactionsbetweenpolygenicriskscoresdietarypatternandmenarcheagewiththeobesityriskinalargehospitalbasedcohort
AT yanghyejeong interactionsbetweenpolygenicriskscoresdietarypatternandmenarcheagewiththeobesityriskinalargehospitalbasedcohort
AT kimminjung interactionsbetweenpolygenicriskscoresdietarypatternandmenarcheagewiththeobesityriskinalargehospitalbasedcohort
AT hurhaengjeon interactionsbetweenpolygenicriskscoresdietarypatternandmenarcheagewiththeobesityriskinalargehospitalbasedcohort
AT kimsoonhee interactionsbetweenpolygenicriskscoresdietarypatternandmenarcheagewiththeobesityriskinalargehospitalbasedcohort
AT kimmyungsunny interactionsbetweenpolygenicriskscoresdietarypatternandmenarcheagewiththeobesityriskinalargehospitalbasedcohort