| Objective:Through retrospective analysis of clinical data of middle-aged and elderly population of Han nationality in Lanzhou,to find out the independent risk factors of hyperlipidemia.Then we build a risk prediction model and develop a nomogram model initially.Meanwhile,the study is to detected the frequencies of LDLR gene with middle-aged and elderly population in Lanzhou,analyzed the association between the SNPs and hyperlipidemia and evaluated the gene-environment interaction on the prevalence of hyperlipidemia.Providing theoretical basis for the early detection and individualized treatment of hyperlipidemia.Methods:（1）A case control study was conducted to collect the medical records of middle-aged and elderly Han population in the First Hospital of Lanzhou University from May 2021 to October 2021.According to the inclusion and exclusion criteria,714 cases were included.（2）The risk factors related to hyperlipidemia were analyzed by SPSS 21.0 software and the nomogram model was established by R4.0.3software.（3）A case-control study was conducted to collect the medical records of middle-aged and elderly Han population in the First Hospital of Lanzhou University from November 2020 to May 2021.According to the inclusion and exclusion criteria,117 cases were included.The tag SNPs were determined using Haploview software combined with NCBI database.（4）Sequenom Mass ARRAY（?）method was used to detect 23 tag SNPs of LDLR gene,and statistical software was used to analyze genotyping of the subjects,so as to explore the association between genotype and hyperlipidemia.Results:（1）Through statistical analysis of the risk factors of hyperlipidemia in middle-aged and elderly Han population in Lanzhou:gender（OR=2.79,95%CI:1.87～4.15）,history of diabetes（OR=3.54,95%CI:2.38～5.25）,history of hypertension（OR=3.32,95%CI:2.32～4.73）,poor sleep quality（OR=3.35,95%CI:2.19～5.14）and alcohol consumption（OR=2.90,95%CI:1.21～6.96）are independent risk factors for hyperlipidemia in this population.（2）The nomogram model of hyperlipidemia in middle-aged and elderly population of Han nationality in Lanzhou was constructed based on risk factors.The accuracy and differentiation of the prediction model were verified as follows,and AUC=0.80（95%CI:0.76～0.83）,Hosmer-Leme show goodness of fit test P=0.43.（3）Frequencies of 23 tag SNPs did not indicate deviations from Hardy-Weinberg equilibrium（P>0.05）.（4）Pearsonχ~2test showed that only rs12611153 genotype was associated with the incidence of hyperlipidemia in middle-aged and elderly Han population in Lanzhou（P<0.05）.LDL-C levels of T carriers were significantly lower than C carriers in rs12611153（P<0.05）.（5）T allele,CT genotype and CT+TT dominant gene model carriers in rs12611153 were associated with hyperlipidemia（OR=2.27,95%IC:1.09～4.74,OR=3.39,95%IC:1.45～7.95,OR=3.09,95%IC:1.35～7.08）.（6）The results showed that CT genotype and CT+TT dominant gene model of LDLR at rs12611153 were associated with hyperlipidemia in normal blood pressure and blood glucose subjects.（7）LDLR at rs12611153 interacts with sleep adequacy(P interaction<0.05).Conclusions:（1）Gender,diabetes,hypertension,alcohol consumption and sleep quality may be independent risk factors for hyperlipidemia of middle-aged and elderly population of Han nationality in Lanzhou.（2）This study initially establishes the risk prediction model of hyperlipidemia in middle-aged and elderly Han population in Lanzhou and develops nomogram.The model has good differentiation ability and consistency,which can provide theoretical reference for clinical work.（3）T allele,CT genotype and CT+TT dominant gene model of LDLR at rs12611153 were associated with hyperlipidemia.（4）Blood glucose and blood pressure influence the association between LDLR at rs12611153 gene locus and hyperlipidemia.（5）CT and CT+TT genotypes of LDLR at rs12611153 interacted with sleep adequacy. |
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