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A Study On The Relationship Between Genetic Risk Score And Risk Of Obesity Among Children In Xinjiang

Posted on:2019-04-18Degree:MasterType:Thesis
Country:ChinaCandidate:B D A N W E AFull Text:PDF
GTID:2334330548956283Subject:Epidemiology and Health Statistics
Abstract/Summary:PDF Full Text Request
Objective: To study the association between overweight/obesity prevalence and copy number variations?CNVs?among Han,Uyghur,and Kazak children in Xinjiang,China;The ability of genetic risk score?GRS?to reflect genetic joint effects to improve risk assessment of overweight/obesity based on CNV calculations was analyzed.Methods: This study for the National Natural Science Foundation of China?81260440?follow-up survey and laboratory testing part.Stratified cluster random sampling was conducted to select 39 years old childre n?n=5992?in the early stage of the study in four areas of Xinjiang in 2014.A s the research site,taking kindergartens of Ili,Altay and Karamay in Xinjiang,3 to 7 years old children were selected by stratified cluster sampling method and measured the children`s height,weight and collected the oral mucosal exfoliated cells.AccuCopy? multiplex gene copy number method was used to detect the gene copy number variation of APOBR ?ATP2A1?ATXN2L?CHRNA4?COMT?EDN3?EGF?ELOVL6?ETNPPL?FTO?GNAS?GPRIN2?GSTT1?HADH?HES1?IL27?IRX3?ITGAD?ITGAM?MC4R?MIF?OR4P4?OR4S2?PCK1?PRIM2?SH2B1?SYT15 ? TUFM.SPSS 21 software description Uygur Han and Kazakh children CNV distribution and compared;To investigate the relationship between children's overweight / obesity and the CNV of the candidate sites.According to the detection of CNV and the questionnaire,univariate and multivariate analysis were performed on the related factors of overweight / obesity in children.The GRS,ROC and AUC was calculated using SPSS21.0 Binary Logistic,ROC Curve and non-parametric method.NRI and IDI was calculated were using R software.Result:603 children have been surveyed,including 307 men and 296 women;Among them Han was 261,Uyghur was194 and Kazakh was 148,corresponding overweight/obesity rate was 28.3%,10.3% and 31.1%,respectively,this difference had statistically meaning.There were significant differences in the CNV of APOBR,ATP2A1,ATXN2 L,CHR NA4,ELOVL6,FTO1,GNAS2,GSTT1,HADH,HES11,HES12,IL27,IRX32,MC4R2,OR4P4,OR4S21,OR4S22,PCK1,PRIM22 in the three ethnic groups?P<0.05?.There were significant differences in the CNV of OR4P4 and OR4S21 in Uygur normal children and overweight / obese children?P<0.05?.The normal body weight and overweight/obesity there were significant differences in gene CNV between IRX31 and MC4R2 in children?P<0.05?.There was a significant difference in CNV of ATXN2 L locus between normal weight and overweight / obese boys?P<0.05?.Single factor and analysis sho wed that children's nationality?OR=6.341,95%CI:1.97320.380?and?OR=3.349,95%CI:1.09210.276?,only child?OR=0.404,95%CI:0.2400.679?high family in come?OR=7.76,95%CI:1.81632.347?,mode of delivery?OR=1.780,95%CI:1.0912.903?,CNV exception at IRX31 site?OR=2.251,95%1.0924.639?were influe nce factors of overweight/obesity.The inclusion of GRS in five traditional overweight / obesity risk factors,including ethnicity,only child,household income,mode of delivery at birth,and CNV abnormalities at IRX31 significantly improved the reclassification of the risk of overweight / obesity with NRI and IDI Were 3.85% and 0.024,respectively,all of which were statistically signific ant,but the inclusion of GRS did not significantly increase the AUC,only increased from 0.823 to 0.835?P>0.05?Conclusion: IRX31 CNV abnormalities are risk factors for overweight / obesity in children,suggesting that IRX3 as overweight / obesity-related susceptibility genes deserve further study.Children's ethnicity,whether they are singletons,family income,mode of delivery at birth,and CNV abnormalities at IRX31 are the most common causes of overweight / obesity in children.The inclusion of GRS in traditional overweight / obesity risk prediction models can significantly improve the reclassification of overweight / obesity risk,but GRS did not significantly improve AUC.
Keywords/Search Tags:Genetic risk score, Copy number variation, Overweight/obesity, Child
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