Association of age-related cataract risk high polygenetic risk scores involved in galactose-related metabolism and dietary interactions

Introduction: Cataracts are associated with the accumulation of galactose and galactitol in the lens. We determined the polygenetic risk scores for the best model(PRSBM) associated with age-related cataract(ARC) risk and their interaction with diets and lifestyles in 40,262 Korean adults aged over 5...

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Main Authors: Donghyun Jee, Suna Kang, Sunmin Park
Format: Article
Language:English
Published: Karger Publishers 2021-12-01
Series:Lifestyle Genomics
Online Access:https://www.karger.com/Article/FullText/521548
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author Donghyun Jee
Suna Kang
Sunmin Park
author_facet Donghyun Jee
Suna Kang
Sunmin Park
author_sort Donghyun Jee
collection DOAJ
description Introduction: Cataracts are associated with the accumulation of galactose and galactitol in the lens. We determined the polygenetic risk scores for the best model(PRSBM) associated with age-related cataract(ARC) risk and their interaction with diets and lifestyles in 40,262 Korean adults aged over 50 years belonged to a hospital-based city cohort. Methods: The genetic variants for ARC risk were selected in lactose and galactose metabolism-related genes with multivariate logistic regression using the PLINK 1.9 version. PRSBM from the selected genetic variants was estimated by generalized multifactor dimensionality reduction (GMDR) after adjusting covariates. The interactions between the PRSBM and each lifestyle factor were determined to modulate ARC risk. Results: The genetic variants for ARC risk related to lactose- and galactose metabolism were SLC2A1_rs3729548, ST3GAL3_rs3791047, LCT_rs2304371, GALNT5_rs6728956, ST6GAL1_rs2268536, GALNT17_rs17058752, CSGALNACT1_rs1994788, GALNTL4_rs10831608, B4GALT6_rs1667288, and A4GALT_ rs9623659. In GMDR, the best model included all ten genetic variants. The highest odds ratio (OR) for a single SNP in the PRSBM was 1.26. However, subjects with a high-PRSBM had a higher ARC risk by 2.1-fold than a low-PRSBM after adjusting for covariates. Carbohydrate, dairy products, kimchi, and alcohol intake interacted with PRSBM for ARC risk: the participants with high-PRSBM had a much higher ARC risk than those with low-PRSBM when consuming diets with high carbohydrate and low dairy product and kimchi intake. However, only with low alcohol intake, the participants with high-PRSBM had a higher ARC risk than those with low-PRSBM. Conclusion: Adults aged >50 years having high-PRSBM may modulate dietary habits to reduce ARC risk.
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spelling doaj.art-a2045aceab424f16bb370d81715af5f62022-12-21T19:33:01ZengKarger PublishersLifestyle Genomics2504-31612504-31882021-12-01110.1159/000521548521548Association of age-related cataract risk high polygenetic risk scores involved in galactose-related metabolism and dietary interactionsDonghyun JeeSuna KangSunmin Parkhttps://orcid.org/0000-0002-6092-8340Introduction: Cataracts are associated with the accumulation of galactose and galactitol in the lens. We determined the polygenetic risk scores for the best model(PRSBM) associated with age-related cataract(ARC) risk and their interaction with diets and lifestyles in 40,262 Korean adults aged over 50 years belonged to a hospital-based city cohort. Methods: The genetic variants for ARC risk were selected in lactose and galactose metabolism-related genes with multivariate logistic regression using the PLINK 1.9 version. PRSBM from the selected genetic variants was estimated by generalized multifactor dimensionality reduction (GMDR) after adjusting covariates. The interactions between the PRSBM and each lifestyle factor were determined to modulate ARC risk. Results: The genetic variants for ARC risk related to lactose- and galactose metabolism were SLC2A1_rs3729548, ST3GAL3_rs3791047, LCT_rs2304371, GALNT5_rs6728956, ST6GAL1_rs2268536, GALNT17_rs17058752, CSGALNACT1_rs1994788, GALNTL4_rs10831608, B4GALT6_rs1667288, and A4GALT_ rs9623659. In GMDR, the best model included all ten genetic variants. The highest odds ratio (OR) for a single SNP in the PRSBM was 1.26. However, subjects with a high-PRSBM had a higher ARC risk by 2.1-fold than a low-PRSBM after adjusting for covariates. Carbohydrate, dairy products, kimchi, and alcohol intake interacted with PRSBM for ARC risk: the participants with high-PRSBM had a much higher ARC risk than those with low-PRSBM when consuming diets with high carbohydrate and low dairy product and kimchi intake. However, only with low alcohol intake, the participants with high-PRSBM had a higher ARC risk than those with low-PRSBM. Conclusion: Adults aged >50 years having high-PRSBM may modulate dietary habits to reduce ARC risk.https://www.karger.com/Article/FullText/521548
spellingShingle Donghyun Jee
Suna Kang
Sunmin Park
Association of age-related cataract risk high polygenetic risk scores involved in galactose-related metabolism and dietary interactions
Lifestyle Genomics
title Association of age-related cataract risk high polygenetic risk scores involved in galactose-related metabolism and dietary interactions
title_full Association of age-related cataract risk high polygenetic risk scores involved in galactose-related metabolism and dietary interactions
title_fullStr Association of age-related cataract risk high polygenetic risk scores involved in galactose-related metabolism and dietary interactions
title_full_unstemmed Association of age-related cataract risk high polygenetic risk scores involved in galactose-related metabolism and dietary interactions
title_short Association of age-related cataract risk high polygenetic risk scores involved in galactose-related metabolism and dietary interactions
title_sort association of age related cataract risk high polygenetic risk scores involved in galactose related metabolism and dietary interactions
url https://www.karger.com/Article/FullText/521548
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AT sunakang associationofagerelatedcataractriskhighpolygeneticriskscoresinvolvedingalactoserelatedmetabolismanddietaryinteractions
AT sunminpark associationofagerelatedcataractriskhighpolygeneticriskscoresinvolvedingalactoserelatedmetabolismanddietaryinteractions