Literature DB >> 33339179

The Relationship of Dietary Pattern and Genetic Risk Score with the Incidence Dyslipidemia: 14-Year Follow-Up Cohort Study.

Seon-Joo Park1, Myung-Sunny Kim2,3, Sang-Woon Choi4, Hae-Jeung Lee1.   

Abstract

This study was conducted to investigate the relationship between dietary pattern and genetic risk score (GRS) for dyslipidemia risk among Korean adults. Hypercholesterolemia and hypertriglyceridemia defined as total cholesterol ≥240 mg/dL and triglyceride ≥200 mg/dL or use dyslipidemia medication. The GRS was calculated by summing the risk alleles of the selected seven single-nucleotide polymorphisms related to dyslipidemia. Dietary patterns were identified by principal component analysis based on the frequency of 36 food groups, "whole grain and soybean products" pattern, "meat, fish and vegetables" pattern, and "bread and noodle" pattern were identified. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using the multivariate Cox proportional hazards regression model. High intake of a "whole grain and soybean products" pattern decreased risks of hypercholesterolemia (HR: 0.82, 95% CI: 0.72-0.93, p for trend = 0.0006) and hypertriglyceridemia (HR: 0.85, 95% CI: 0.75-0.97, p for trend = 0.0344). In the highest tertile of GRS, the "whole grain and soybean products" pattern was inversely related to hypercholesterolemia risk. Therefore, for people with genotypes that can cause hypercholesterolemia, eating whole grains and soybean products may have a meaningful response, these results could be utilized for genome-based nutrition management.

Entities:  

Keywords:  cohort study; diet; dyslipidemia; genetics

Mesh:

Substances:

Year:  2020        PMID: 33339179      PMCID: PMC7765618          DOI: 10.3390/nu12123840

Source DB:  PubMed          Journal:  Nutrients        ISSN: 2072-6643            Impact factor:   5.717


  41 in total

1.  A functional polymorphism affecting the APOA5 gene expression is causally associated with plasma triglyceride levels conferring coronary atherosclerosis risk in Han Chinese Population.

Authors:  Weihua Shou; Ying Wang; Fang Xie; Beilan Wang; Lin Yang; Hong Wu; Yi Wang; Zhimin Wang; Jinxiu Shi; Wei Huang
Journal:  Biochim Biophys Acta       Date:  2014-08-20

2.  Prediction of coronary heart disease risk using a genetic risk score: the Atherosclerosis Risk in Communities Study.

Authors:  Alanna C Morrison; Lance A Bare; Lloyd E Chambless; Stephen G Ellis; Mary Malloy; John P Kane; James S Pankow; James J Devlin; James T Willerson; Eric Boerwinkle
Journal:  Am J Epidemiol       Date:  2007-04-18       Impact factor: 4.897

3.  Dyslipidemia patterns are differentially associated with dietary factors.

Authors:  SuJin Song; Hee Young Paik; Minseon Park; YoonJu Song
Journal:  Clin Nutr       Date:  2015-06-19       Impact factor: 7.324

4.  A genetic risk score is associated with incident cardiovascular disease and coronary artery calcium: the Framingham Heart Study.

Authors:  George Thanassoulis; Gina M Peloso; Michael J Pencina; Udo Hoffmann; Caroline S Fox; L Adrienne Cupples; Daniel Levy; Ralph B D'Agostino; Shih-Jen Hwang; Christopher J O'Donnell
Journal:  Circ Cardiovasc Genet       Date:  2012-01-10

5.  Carbohydrate and sodium intake and physical activity interact with genetic risk scores of four genetic variants mainly related to lipid metabolism to modulate metabolic syndrome risk in Korean middle-aged adults.

Authors:  Jun-Yu Zhou; Mi Young Song; Sunmin Park
Journal:  Br J Nutr       Date:  2019-09-23       Impact factor: 3.718

6.  Mediterranean-style dietary pattern, reduced risk of metabolic syndrome traits, and incidence in the Framingham Offspring Cohort.

Authors:  Marcella E Rumawas; James B Meigs; Johanna T Dwyer; Nicola M McKeown; Paul F Jacques
Journal:  Am J Clin Nutr       Date:  2009-10-14       Impact factor: 7.045

Review 7.  Soy consumption and cholesterol reduction: review of animal and human studies.

Authors:  K K Carroll; E M Kurowska
Journal:  J Nutr       Date:  1995-03       Impact factor: 4.798

8.  Cohort Profile: The Korean Genome and Epidemiology Study (KoGES) Consortium.

Authors:  Yeonjung Kim; Bok-Ghee Han
Journal:  Int J Epidemiol       Date:  2017-08-01       Impact factor: 7.196

9.  Joint effect of genetic and lifestyle risk factors on type 2 diabetes risk among Chinese men and women.

Authors:  Raquel Villegas; Ryan Delahanty; Yu-Tang Gao; Jirong Long; Scott M Williams; Yong-Bing Xiang; Hui Cai; Hong-Lan Li; Frank Hu; Qiuyin Cai; Wei Zheng; Xiao-Ou Shu
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

Review 10.  Nutrigenetic Contributions to Dyslipidemia: A Focus on Physiologically Relevant Pathways of Lipid and Lipoprotein Metabolism.

Authors:  Bridget A Hannon; Naiman A Khan; Margarita Teran-Garcia
Journal:  Nutrients       Date:  2018-10-02       Impact factor: 5.717

View more
  2 in total

1.  Association of sugar intake from different sources with incident depression in the prospective cohort of UK Biobank participants.

Authors:  Anna Kaiser; Sylva M Schaefer; Gerrit Eichner; Mathias Fasshauer; Inken Behrendt
Journal:  Eur J Nutr       Date:  2022-10-07       Impact factor: 4.865

2.  Polygenic Risk of Hypertriglyceridemia Is Modified by BMI.

Authors:  Virginia Esteve-Luque; Marta Fanlo-Maresma; Ariadna Padró-Miquel; Emili Corbella; Maite Rivas-Regaira; Xavier Pintó; Beatriz Candás-Estébanez
Journal:  Int J Mol Sci       Date:  2022-08-30       Impact factor: 6.208

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.