<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zheng, J. S.</style></author><author><style face="normal" font="default" size="100%">Li, K.</style></author><author><style face="normal" font="default" size="100%">Huang, T.</style></author><author><style face="normal" font="default" size="100%">Y. Chen</style></author><author><style face="normal" font="default" size="100%">Xie, H.</style></author><author><style face="normal" font="default" size="100%">Xu, D.</style></author><author><style face="normal" font="default" size="100%">Sun, J.</style></author><author><style face="normal" font="default" size="100%">D. Li</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Genetic Risk Score of Nine Type 2 Diabetes Risk Variants that Interact with Erythrocyte Phospholipid Alpha-Linolenic Acid for Type 2 Diabetes in Chinese Hans: A Case-Control Study</style></title><secondary-title><style face="normal" font="default" size="100%">NutrientsNutrientsNutrients</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Nutrients</style></alt-title><short-title><style face="normal" font="default" size="100%">NutrientsNutrients</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">*Genetic Predisposition to Disease</style></keyword><keyword><style  face="normal" font="default" size="100%">*Polymorphism, Single Nucleotide</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Alleles</style></keyword><keyword><style  face="normal" font="default" size="100%">alpha-Linolenic Acid/*blood/metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Asian Continental Ancestry Group</style></keyword><keyword><style  face="normal" font="default" size="100%">Biomarkers/blood</style></keyword><keyword><style  face="normal" font="default" size="100%">Case-Control Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">China</style></keyword><keyword><style  face="normal" font="default" size="100%">Diabetes Mellitus, Type 2/blood/*genetics/metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Erythrocytes/*metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Gene Frequency</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetic Association Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Logistic Models</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Phospholipids/*blood/metabolism</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Apr 11</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">4</style></number><edition><style face="normal" font="default" size="100%">2017/04/12</style></edition><volume><style face="normal" font="default" size="100%">9</style></volume><isbn><style face="normal" font="default" size="100%">2072-6643 (Electronic)2072-6643 (Linking)</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Modulation of n-3 fatty acids on genetic susceptibility to type 2 diabetes (T2D) is still not clear. In a case-control study of 622 Chinese T2D patients and 293 healthy controls, a genetic risk score (GRS) was created based on nine T2D genetic variants. Logistic regression was used to examine the interaction of the GRS with erythrocyte phospholipid n-3 fatty acids for T2D risk. Every 1-unit (corresponding to 1 risk allele) increase in GRS was associated with 12% (Odds ratio (OR): 1.12; 95% confidence intervals (CI): 1.04-1.20) higher risk of T2D. Compared with the lowest quartile, participants had lower T2D risk in the 2nd (OR: 0.55; 95% CI: 0.36-0.84), 3rd (OR: 0.58; 95% CI: 0.38-0.88) and 4th (OR: 0.67; 95% CI: 0.44-1.03) quartile of alpha-linolenic acid (ALA) levels. Significant interaction (p-interaction = 0.029) of GRS with ALA for T2D risk was observed. Higher ALA levels were associated with lower T2D risk only among participants within the lowest GRS tertile, with ORs 0.51 (95% CI: 0.26-1.03), 0.44 (95% CI: 0.22-0.89) and 0.49 (95% CI: 0.25-0.96) for the 2nd, 3rd and 4th ALA quartile, compared with the 1st. This study suggests that higher erythrocyte ALA levels are inversely associated with T2D risk only among participants with low T2D genetic risk, with high genetic risk abolishing the ALA-T2D association.</style></abstract><work-type><style face="normal" font="default" size="100%">Multicenter Study</style></work-type><accession-num><style face="normal" font="default" size="100%">28398239</style></accession-num><notes><style face="normal" font="default" size="100%">Zheng, Ju-ShengLi, KeleiHuang, TaoChen, YanqiuXie, HuaXu, DanfengSun, JianqinLi, DuoSwitzerlandNutrients. 2017 Apr 11;9(4). pii: nu9040376. doi: 10.3390/nu9040376.</style></notes><custom2><style face="normal" font="default" size="100%">5409715</style></custom2><auth-address><style face="normal" font="default" size="100%">Department of Food Science and Nutrition, Zhejiang University, Hangzhou 310058, China. zhengjusheng@gmail.com.Institute of Nutrition and Health, Qingdao University, Qingdao 266071, China. zhengjusheng@gmail.com.Department of Food Science and Nutrition, Zhejiang University, Hangzhou 310058, China. wfujfqcc@sina.com.Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore. taohuang83@gmail.com.Clinical Nutrition Center, Huadong Hospital, Fudan University, Shanghai 200040, China. jxfbtangx@126.com.Clinical Nutrition Center, Huadong Hospital, Fudan University, Shanghai 200040, China. yujinghuang.zju@gmail.com.Clinical Nutrition Center, Huadong Hospital, Fudan University, Shanghai 200040, China. jxfbzhus@126.com.Clinical Nutrition Center, Huadong Hospital, Fudan University, Shanghai 200040, China. jianqins@gmail.com.Department of Food Science and Nutrition, Zhejiang University, Hangzhou 310058, China. duoli@qdu.edu.cn.Institute of Nutrition and Health, Qingdao University, Qingdao 266071, China. duoli@qdu.edu.cn.</style></auth-address></record></records></xml>