{"title":"年龄相关性白内障风险与高多基因风险评分的关联涉及半乳糖相关代谢和饮食相互作用。","authors":"Donghyun Jee, Suna Kang, Sunmin Park","doi":"10.1159/000521548","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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 belonging to a hospital-based city cohort.</p><p><strong>Methods: </strong>The genetic variants for ARC risk were selected in lactose and galactose metabolism-related genes with multivariate logistic regression using PLINK 1.9 version. PRSBM from the selected genetic variants were estimated by generalized multifactor dimensionality reduction (GMDR) after adjusting for covariates. The interactions between the PRSBM and each lifestyle factor were determined to modulate ARC risk.</p><p><strong>Results: </strong>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 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, where 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.</p><p><strong>Conclusion: </strong>Adults aged >50 years having high-PRSBM may modulate dietary habits to reduce ARC risk.</p>","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Association of Age-Related Cataract Risk with High Polygenetic Risk Scores Involved in Galactose-Related Metabolism and Dietary Interactions.\",\"authors\":\"Donghyun Jee, Suna Kang, Sunmin Park\",\"doi\":\"10.1159/000521548\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>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 belonging to a hospital-based city cohort.</p><p><strong>Methods: </strong>The genetic variants for ARC risk were selected in lactose and galactose metabolism-related genes with multivariate logistic regression using PLINK 1.9 version. PRSBM from the selected genetic variants were estimated by generalized multifactor dimensionality reduction (GMDR) after adjusting for covariates. The interactions between the PRSBM and each lifestyle factor were determined to modulate ARC risk.</p><p><strong>Results: </strong>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 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, where 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.</p><p><strong>Conclusion: </strong>Adults aged >50 years having high-PRSBM may modulate dietary habits to reduce ARC risk.</p>\",\"PeriodicalId\":18030,\"journal\":{\"name\":\"Lifestyle Genomics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lifestyle Genomics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000521548\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/12/24 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lifestyle Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000521548","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/12/24 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Association of Age-Related Cataract Risk with 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 50 years belonging 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 PLINK 1.9 version. PRSBM from the selected genetic variants were estimated by generalized multifactor dimensionality reduction (GMDR) after adjusting for 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 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, where 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.
期刊介绍：
Lifestyle Genomics aims to provide a forum for highlighting new advances in the broad area of lifestyle-gene interactions and their influence on health and disease. The journal welcomes novel contributions that investigate how genetics may influence a person’s response to lifestyle factors, such as diet and nutrition, natural health products, physical activity, and sleep, amongst others. Additionally, contributions examining how lifestyle factors influence the expression/abundance of genes, proteins and metabolites in cell and animal models as well as in humans are also of interest. The journal will publish high-quality original research papers, brief research communications, reviews outlining timely advances in the field, and brief research methods pertaining to lifestyle genomics. It will also include a unique section under the heading “Market Place” presenting articles of companies active in the area of lifestyle genomics. Research articles will undergo rigorous scientific as well as statistical/bioinformatic review to ensure excellence.
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