The Combined Effect of Polygenic Risk from FTO and ADRB2 Gene Variants, Odds of Obesity, and Post-Hipcref Diet Differences.

IF 2 4区医学 Q3 GENETICS & HEREDITY

Lifestyle Genomics Pub Date : 2020-01-01 Epub Date: 2020-02-26 DOI:10.1159/000505662

Pui Yee Tan, Soma Roy Mitra

{"title":"The Combined Effect of Polygenic Risk from FTO and ADRB2 Gene Variants, Odds of Obesity, and Post-Hipcref Diet Differences.","authors":"Pui Yee Tan, Soma Roy Mitra","doi":"10.1159/000505662","DOIUrl":null,"url":null,"abstract":"Background: Computing polygenic risk scores (PRS) to predict the degree of risk for obesity may contribute to weight management programs strategically.Objectives: To investigate the combined effect of FTO rs9930501, rs9930506, and rs9932754 and ADRB2 rs1042713 and rs1042714 using PRS on (1) the odds of obesity and (2) post-intervention differences in dietary, anthropometric, and cardiometabolic parameters in response to high-protein calorie-restricted, high-vitamin E, high-fiber (Hipcref) diet intervention in Malaysian adults.Methods: Both a cross-sectional study (n = 178) and a randomized controlled trial (RCT) (n = 128) were conducted to test the aforementioned objectives. PRS was computed as the weighted sum of the risk alleles possessed by each individual participant. Participants were stratified into first (PRS 0-0.64), second (PRS 0.65-3.59), and third (PRS 3.60-8.18) tertiles.Results: The third tertile of PRS was associated with significantly higher odds of obesity: 2.29 (95% CI = 1.11-4.72, adjusted p = 0.025) compared to the first tertile. Indians (3.9 ± 0.3) had significantly higher PRS compared to Chinese (2.1 ± 0.4) (p = 0.010). In the RCT, a greater reduction in high-sensitivity C-reactive protein (hsCRP) levels was found in second and third tertiles after Hipcref diet intervention compared to the control diet (p interaction = 0.048).Conclusion: Higher PRS was significantly associated with increased odds of obesity. Individuals with higher PRS had a significantly greater reduction in hsCRP levels after Hipcref diet compared to the control diet.","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1159/000505662","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lifestyle Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000505662","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/2/26 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}

引用次数: 4

Abstract

Background: Computing polygenic risk scores (PRS) to predict the degree of risk for obesity may contribute to weight management programs strategically.

Objectives: To investigate the combined effect of FTO rs9930501, rs9930506, and rs9932754 and ADRB2 rs1042713 and rs1042714 using PRS on (1) the odds of obesity and (2) post-intervention differences in dietary, anthropometric, and cardiometabolic parameters in response to high-protein calorie-restricted, high-vitamin E, high-fiber (Hipcref) diet intervention in Malaysian adults.

Methods: Both a cross-sectional study (n = 178) and a randomized controlled trial (RCT) (n = 128) were conducted to test the aforementioned objectives. PRS was computed as the weighted sum of the risk alleles possessed by each individual participant. Participants were stratified into first (PRS 0-0.64), second (PRS 0.65-3.59), and third (PRS 3.60-8.18) tertiles.

Results: The third tertile of PRS was associated with significantly higher odds of obesity: 2.29 (95% CI = 1.11-4.72, adjusted p = 0.025) compared to the first tertile. Indians (3.9 ± 0.3) had significantly higher PRS compared to Chinese (2.1 ± 0.4) (p = 0.010). In the RCT, a greater reduction in high-sensitivity C-reactive protein (hsCRP) levels was found in second and third tertiles after Hipcref diet intervention compared to the control diet (p interaction = 0.048).

Conclusion: Higher PRS was significantly associated with increased odds of obesity. Individuals with higher PRS had a significantly greater reduction in hsCRP levels after Hipcref diet compared to the control diet.

查看原文本刊更多论文

FTO和ADRB2基因变异的多基因风险、肥胖几率和hipcref后饮食差异的综合影响

背景:计算多基因风险评分(PRS)来预测肥胖的风险程度可能有助于体重管理计划。目的:研究FTO rs9930501、rs9930506和rs9932754以及ADRB2 rs1042713和rs1042714对(1)马来西亚成年人在高蛋白热量限制、高维生素E、高纤维(Hipcref)饮食干预下的肥胖发生率和(2)干预后饮食、人体测量和心脏代谢参数差异的综合影响。方法:采用横断面研究(n = 178)和随机对照试验(RCT) (n = 128)对上述目标进行验证。PRS被计算为每个个体参与者所拥有的风险等位基因的加权和。参与者被分为第一阶段(PRS 0-0.64)、第二阶段(PRS 0.65-3.59)和第三阶段(PRS 3.60-8.18)。结果:与第一分位数相比，PRS的第三分位数与较高的肥胖几率相关:2.29 (95% CI = 1.11-4.72，调整后p = 0.025)。印度人(3.9±0.3)明显高于中国人(2.1±0.4)(p = 0.010)。在随机对照试验中，与对照组相比，Hipcref饮食干预后第二和第三分之一组的高敏c反应蛋白(hsCRP)水平有更大的降低(p相互作用= 0.048)。结论:较高的PRS与肥胖发生率显著相关。与对照饮食相比，高PRS的个体在Hipcref饮食后hsCRP水平显著降低。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Lifestyle Genomics Agricultural and Biological Sciences-Food Science

CiteScore

4.00

自引率

7.70%

发文量

审稿时长

28 weeks

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.