中华流行病学杂志
中華流行病學雜誌
중화류행병학잡지
CHINESE JOURNAL OF EPIDEMIOLOGY
2013年
4期
326-330
,共5页
俞浩%陈秋%杨婕%胡晓抒%周正元%郭志荣%武鸣
俞浩%陳鞦%楊婕%鬍曉抒%週正元%郭誌榮%武鳴
유호%진추%양첩%호효서%주정원%곽지영%무명
原发性高血压%过氧化物酶体增殖物激活受体%广义多因子降维法%交互作用
原髮性高血壓%過氧化物酶體增殖物激活受體%廣義多因子降維法%交互作用
원발성고혈압%과양화물매체증식물격활수체%엄의다인자강유법%교호작용
Essential hypertension%Peroxisome proliferator-activated receptors%Generalized multifactor dimensionality reduction%Interaction
目的 探讨过氧化物酶体增殖物激活受体(PPAR) α/δ/γ单核苷酸多态性(SNP)基因-基因交互作用对原发性高血压(EH)的影响.方法 研究对象均来自于“江苏省多代谢异常和代谢综合征综合防治研究(PMMJS)”队列人群.采用单纯随机抽样方法抽取820名研究对象的基线血标本进行PPAR α/δ/γ (PPARα:rs 135539、rs1800206和rs4253778; PPARδ:rs2016520和rs9794;PPARγ:rs 10865710、rs1805192、rs4684847、rs709158和rs3856806)多态性检测,运用广义多因子降维法(GMDR)模型检测10个SNP的基因-基因交互作用与EH的关联.结果 调整性别、年龄、体重指数、空腹血糖、甘油三酯、高密度脂蛋白胆固醇、高脂饮食、低纤饮食和体力活动后,以EH、SBP和DBP质量性状为结局的GMDR最优模型分别为七、九维度模型(EH:交叉一致性为9/10和10/10,平均检验准确度为0.5862和0.5885)、五、九维度模型(SBP:交叉一致性为10/10和8/10,平均检验准确度为0.6055和0.6011)和八、九维度模型(DBP:交叉一致性均为10/10,平均检验准确度为0.5926和0.5972).SBP和DBP数量性状的最优模型分别为四、五维度模型(SBP:交叉一致性为10/10和8/10,平均检验准确度为0.6111和0.6072)和五维度模型(DBP:交叉一致性为9/10,平均检验准确度为0.5753).结论 PPAR的10个SNP中多个SNP之间存在交互作用,且对血压水平具有显著影响.
目的 探討過氧化物酶體增殖物激活受體(PPAR) α/δ/γ單覈苷痠多態性(SNP)基因-基因交互作用對原髮性高血壓(EH)的影響.方法 研究對象均來自于“江囌省多代謝異常和代謝綜閤徵綜閤防治研究(PMMJS)”隊列人群.採用單純隨機抽樣方法抽取820名研究對象的基線血標本進行PPAR α/δ/γ (PPARα:rs 135539、rs1800206和rs4253778; PPARδ:rs2016520和rs9794;PPARγ:rs 10865710、rs1805192、rs4684847、rs709158和rs3856806)多態性檢測,運用廣義多因子降維法(GMDR)模型檢測10箇SNP的基因-基因交互作用與EH的關聯.結果 調整性彆、年齡、體重指數、空腹血糖、甘油三酯、高密度脂蛋白膽固醇、高脂飲食、低纖飲食和體力活動後,以EH、SBP和DBP質量性狀為結跼的GMDR最優模型分彆為七、九維度模型(EH:交扠一緻性為9/10和10/10,平均檢驗準確度為0.5862和0.5885)、五、九維度模型(SBP:交扠一緻性為10/10和8/10,平均檢驗準確度為0.6055和0.6011)和八、九維度模型(DBP:交扠一緻性均為10/10,平均檢驗準確度為0.5926和0.5972).SBP和DBP數量性狀的最優模型分彆為四、五維度模型(SBP:交扠一緻性為10/10和8/10,平均檢驗準確度為0.6111和0.6072)和五維度模型(DBP:交扠一緻性為9/10,平均檢驗準確度為0.5753).結論 PPAR的10箇SNP中多箇SNP之間存在交互作用,且對血壓水平具有顯著影響.
목적 탐토과양화물매체증식물격활수체(PPAR) α/δ/γ단핵감산다태성(SNP)기인-기인교호작용대원발성고혈압(EH)적영향.방법 연구대상균래자우“강소성다대사이상화대사종합정종합방치연구(PMMJS)”대렬인군.채용단순수궤추양방법추취820명연구대상적기선혈표본진행PPAR α/δ/γ (PPARα:rs 135539、rs1800206화rs4253778; PPARδ:rs2016520화rs9794;PPARγ:rs 10865710、rs1805192、rs4684847、rs709158화rs3856806)다태성검측,운용엄의다인자강유법(GMDR)모형검측10개SNP적기인-기인교호작용여EH적관련.결과 조정성별、년령、체중지수、공복혈당、감유삼지、고밀도지단백담고순、고지음식、저섬음식화체력활동후,이EH、SBP화DBP질량성상위결국적GMDR최우모형분별위칠、구유도모형(EH:교차일치성위9/10화10/10,평균검험준학도위0.5862화0.5885)、오、구유도모형(SBP:교차일치성위10/10화8/10,평균검험준학도위0.6055화0.6011)화팔、구유도모형(DBP:교차일치성균위10/10,평균검험준학도위0.5926화0.5972).SBP화DBP수량성상적최우모형분별위사、오유도모형(SBP:교차일치성위10/10화8/10,평균검험준학도위0.6111화0.6072)화오유도모형(DBP:교차일치성위9/10,평균검험준학도위0.5753).결론 PPAR적10개SNP중다개SNP지간존재교호작용,차대혈압수평구유현저영향.
Objective To explore the impact of the gene-gene interaction among the single nucleotide polymorphisms (SNPs) of peroxisome proliferator-activated receptor α/δ/γ on essential hypertension (EH).Methods Participants were recruited based on the previous work of the PMMJS (Prevention of Multiple Metabolic Disorders and Metabolic Syndrome in Jiangsu Province) cohort study in Jiangsu province of China.A total number of 820 subjects were randomly selected from the cohort and received gene polymorphism detection covered ten SNPs:PPARα/δ/γ (PPARα:rs 135539,rs 1800206 and rs4253778 ; PPARδ:rs2016520 and rs9794; PPARγ:rs 10865710,rs 1805192,rs4684847,rs709158 and rs3856806).Generalized Multifactor Dimensionality Reduction (GMDR)model was used to evaluate the association between gene-gene interaction among the ten SNPs and EH.Results After adjusting factors as gender,age,BMI,FPG,TG,HDL-C,high fat diet,low fiber diet and physical activity,results from the GMDR analysis showed that the best qualitative trait models were 7/9-dimensional model (EH:cross-validation consistency were 9/10 and 10/10,prediction accuracy were 0.5862 and 0.5885),5/9-dimensional model (SBP:cross-validation consistency were 10/10 and 8/10,prediction accuracy were 0.6055 and 0.6011),and 8/9-dimensional model (DBP:cross-validation consistency both were 10/10,prediction accuracy were 0.5926 and 0.5972),while the best quantitative trait models were 4/5-dimensional model (SBP:cross-validation consistency were 10/10 and 8/10,prediction accuracy were 0.6111 and 0.6072),and 5-dimensional model (DBP:cross-validation consistency were 9/10,prediction accuracy were 0.5753).Conclusion Interactions among ten SNPs of PPARs seemed to have existed and with significant impact on the levels of blood pressure.