Single nucleotide polymorphisms in the ANGPTL4 gene and the SNP-SNP interactions on the risk of atherosclerotic Ischaemic stroke

ObjectivesThe purpose of this study was to investigate the impact of single nucleotide polymorphisms (SNPs) in the ANGPTL4 gene and the SNP-SNP interactions on atherosclerotic ischemic stroke (IS) risk.Patients and methodsA case-control study was conducted. A total of 360 patients with atherosclerot...

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Veröffentlicht in:BMC neurology 2021-03, Vol.21 (1), p.108-108, Article 108
Hauptverfasser: Shen, Chaoxiong, Fan, Daofeng, Fu, Huajun, Zheng, Chong, Chen, Yinjuan, Hu, Zhizhou
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container_end_page 108
container_issue 1
container_start_page 108
container_title BMC neurology
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creator Shen, Chaoxiong
Fan, Daofeng
Fu, Huajun
Zheng, Chong
Chen, Yinjuan
Hu, Zhizhou
description ObjectivesThe purpose of this study was to investigate the impact of single nucleotide polymorphisms (SNPs) in the ANGPTL4 gene and the SNP-SNP interactions on atherosclerotic ischemic stroke (IS) risk.Patients and methodsA case-control study was conducted. A total of 360 patients with atherosclerotic IS and 342 controls between December 2018 and December 2019 from Longyan First Hospital affiliated to Fujian Medical University were included. A logistic regression model was used to examine the association between SNPs and atherosclerotic IS risk. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. Generalized multifactor dimensionality reduction was employed to analyze the SNP-SNP interaction.ResultsLogistic regression analysis showed that atherosclerotic IS risk was significantly lower in carriers with the rs11672433-T allele than those with the CC genotype (CT+ TT vs. CC); adjusted OR, 0.005; 95% CI, 0.02-0.11. We found a significant 2-locus model (P=0.0010) involving rs11672433 and rs4076317; the cross-validation consistency of this model was 10 of 10, and the testing accuracy was 57.96%. Participants with the CT or TT of rs11672433 and CC of rs4076317 genotype have the lowest atherosclerotic IS risk, compared to subjects with CC of rs11672433 and the CC of rs4076317 genotype, OR (95%CI) was 0.06(0.02-0.22), after covariates adjustment for gender, age, smoking and alcohol status, hypertension, Diabetes mellitus, TG, TC, HDL-C, LDL-C, Uric acid.ConclusionsWe found that rs11672433 was associated with decreased atherosclerotic IS risk; we also found that gene-gene interaction between rs11672433 and rs4076317 was associated with decreased atherosclerotic IS risk.
doi_str_mv 10.1186/s12883-021-02138-3
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A total of 360 patients with atherosclerotic IS and 342 controls between December 2018 and December 2019 from Longyan First Hospital affiliated to Fujian Medical University were included. A logistic regression model was used to examine the association between SNPs and atherosclerotic IS risk. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. Generalized multifactor dimensionality reduction was employed to analyze the SNP-SNP interaction.ResultsLogistic regression analysis showed that atherosclerotic IS risk was significantly lower in carriers with the rs11672433-T allele than those with the CC genotype (CT+ TT vs. CC); adjusted OR, 0.005; 95% CI, 0.02-0.11. We found a significant 2-locus model (P=0.0010) involving rs11672433 and rs4076317; the cross-validation consistency of this model was 10 of 10, and the testing accuracy was 57.96%. Participants with the CT or TT of rs11672433 and CC of rs4076317 genotype have the lowest atherosclerotic IS risk, compared to subjects with CC of rs11672433 and the CC of rs4076317 genotype, OR (95%CI) was 0.06(0.02-0.22), after covariates adjustment for gender, age, smoking and alcohol status, hypertension, Diabetes mellitus, TG, TC, HDL-C, LDL-C, Uric acid.ConclusionsWe found that rs11672433 was associated with decreased atherosclerotic IS risk; we also found that gene-gene interaction between rs11672433 and rs4076317 was associated with decreased atherosclerotic IS risk.</description><identifier>ISSN: 1471-2377</identifier><identifier>EISSN: 1471-2377</identifier><identifier>DOI: 10.1186/s12883-021-02138-3</identifier><identifier>PMID: 33750331</identifier><language>eng</language><publisher>LONDON: Springer Nature</publisher><subject>ANGPTL ; Arteriosclerosis ; Atherosclerosis ; Atherosclerotic ischemic stroke ; Cardiovascular disease ; Cholesterol ; Clinical Neurology ; Diabetes ; Diabetes mellitus ; Enzymes ; Fatty acids ; Gene ; Genetic aspects ; Genotype &amp; phenotype ; Glycoproteins ; Health aspects ; High density lipoprotein ; Hypertension ; Ischemia ; Life Sciences &amp; Biomedicine ; Lipids ; Lipoproteins ; Low density lipoprotein ; Magnetic resonance imaging ; Metabolism ; Neurological research ; Neurosciences &amp; Neurology ; Patients ; Physiology ; Risk factors ; Science &amp; Technology ; Single nucleotide polymorphisms ; Single-nucleotide polymorphism ; Software ; Stroke ; Stroke (Disease) ; Triglycerides ; Uric acid</subject><ispartof>BMC neurology, 2021-03, Vol.21 (1), p.108-108, Article 108</ispartof><rights>COPYRIGHT 2021 BioMed Central Ltd.</rights><rights>2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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A total of 360 patients with atherosclerotic IS and 342 controls between December 2018 and December 2019 from Longyan First Hospital affiliated to Fujian Medical University were included. A logistic regression model was used to examine the association between SNPs and atherosclerotic IS risk. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. Generalized multifactor dimensionality reduction was employed to analyze the SNP-SNP interaction.ResultsLogistic regression analysis showed that atherosclerotic IS risk was significantly lower in carriers with the rs11672433-T allele than those with the CC genotype (CT+ TT vs. CC); adjusted OR, 0.005; 95% CI, 0.02-0.11. We found a significant 2-locus model (P=0.0010) involving rs11672433 and rs4076317; the cross-validation consistency of this model was 10 of 10, and the testing accuracy was 57.96%. Participants with the CT or TT of rs11672433 and CC of rs4076317 genotype have the lowest atherosclerotic IS risk, compared to subjects with CC of rs11672433 and the CC of rs4076317 genotype, OR (95%CI) was 0.06(0.02-0.22), after covariates adjustment for gender, age, smoking and alcohol status, hypertension, Diabetes mellitus, TG, TC, HDL-C, LDL-C, Uric acid.ConclusionsWe found that rs11672433 was associated with decreased atherosclerotic IS risk; we also found that gene-gene interaction between rs11672433 and rs4076317 was associated with decreased atherosclerotic IS risk.</description><subject>ANGPTL</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Atherosclerotic ischemic stroke</subject><subject>Cardiovascular disease</subject><subject>Cholesterol</subject><subject>Clinical Neurology</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Enzymes</subject><subject>Fatty acids</subject><subject>Gene</subject><subject>Genetic aspects</subject><subject>Genotype &amp; 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Fan, Daofeng ; Fu, Huajun ; Zheng, Chong ; Chen, Yinjuan ; Hu, Zhizhou</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c563t-5e062d24b5ade9caf84c032b5872e539778a98b10b2acd75b1ac91882f80e7c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>ANGPTL</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Atherosclerotic ischemic stroke</topic><topic>Cardiovascular disease</topic><topic>Cholesterol</topic><topic>Clinical Neurology</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Enzymes</topic><topic>Fatty acids</topic><topic>Gene</topic><topic>Genetic aspects</topic><topic>Genotype &amp; phenotype</topic><topic>Glycoproteins</topic><topic>Health aspects</topic><topic>High density lipoprotein</topic><topic>Hypertension</topic><topic>Ischemia</topic><topic>Life Sciences &amp; Biomedicine</topic><topic>Lipids</topic><topic>Lipoproteins</topic><topic>Low density lipoprotein</topic><topic>Magnetic resonance imaging</topic><topic>Metabolism</topic><topic>Neurological research</topic><topic>Neurosciences &amp; Neurology</topic><topic>Patients</topic><topic>Physiology</topic><topic>Risk factors</topic><topic>Science &amp; Technology</topic><topic>Single nucleotide polymorphisms</topic><topic>Single-nucleotide polymorphism</topic><topic>Software</topic><topic>Stroke</topic><topic>Stroke (Disease)</topic><topic>Triglycerides</topic><topic>Uric acid</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Chaoxiong</creatorcontrib><creatorcontrib>Fan, Daofeng</creatorcontrib><creatorcontrib>Fu, Huajun</creatorcontrib><creatorcontrib>Zheng, Chong</creatorcontrib><creatorcontrib>Chen, Yinjuan</creatorcontrib><creatorcontrib>Hu, Zhizhou</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Proquest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Chaoxiong</au><au>Fan, Daofeng</au><au>Fu, Huajun</au><au>Zheng, Chong</au><au>Chen, Yinjuan</au><au>Hu, Zhizhou</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Single nucleotide polymorphisms in the ANGPTL4 gene and the SNP-SNP interactions on the risk of atherosclerotic Ischaemic stroke</atitle><jtitle>BMC neurology</jtitle><stitle>BMC NEUROL</stitle><addtitle>BMC Neurol</addtitle><date>2021-03-09</date><risdate>2021</risdate><volume>21</volume><issue>1</issue><spage>108</spage><epage>108</epage><pages>108-108</pages><artnum>108</artnum><issn>1471-2377</issn><eissn>1471-2377</eissn><abstract>ObjectivesThe purpose of this study was to investigate the impact of single nucleotide polymorphisms (SNPs) in the ANGPTL4 gene and the SNP-SNP interactions on atherosclerotic ischemic stroke (IS) risk.Patients and methodsA case-control study was conducted. A total of 360 patients with atherosclerotic IS and 342 controls between December 2018 and December 2019 from Longyan First Hospital affiliated to Fujian Medical University were included. A logistic regression model was used to examine the association between SNPs and atherosclerotic IS risk. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. Generalized multifactor dimensionality reduction was employed to analyze the SNP-SNP interaction.ResultsLogistic regression analysis showed that atherosclerotic IS risk was significantly lower in carriers with the rs11672433-T allele than those with the CC genotype (CT+ TT vs. CC); adjusted OR, 0.005; 95% CI, 0.02-0.11. We found a significant 2-locus model (P=0.0010) involving rs11672433 and rs4076317; the cross-validation consistency of this model was 10 of 10, and the testing accuracy was 57.96%. Participants with the CT or TT of rs11672433 and CC of rs4076317 genotype have the lowest atherosclerotic IS risk, compared to subjects with CC of rs11672433 and the CC of rs4076317 genotype, OR (95%CI) was 0.06(0.02-0.22), after covariates adjustment for gender, age, smoking and alcohol status, hypertension, Diabetes mellitus, TG, TC, HDL-C, LDL-C, Uric acid.ConclusionsWe found that rs11672433 was associated with decreased atherosclerotic IS risk; we also found that gene-gene interaction between rs11672433 and rs4076317 was associated with decreased atherosclerotic IS risk.</abstract><cop>LONDON</cop><pub>Springer Nature</pub><pmid>33750331</pmid><doi>10.1186/s12883-021-02138-3</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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subjects ANGPTL
Arteriosclerosis
Atherosclerosis
Atherosclerotic ischemic stroke
Cardiovascular disease
Cholesterol
Clinical Neurology
Diabetes
Diabetes mellitus
Enzymes
Fatty acids
Gene
Genetic aspects
Genotype & phenotype
Glycoproteins
Health aspects
High density lipoprotein
Hypertension
Ischemia
Life Sciences & Biomedicine
Lipids
Lipoproteins
Low density lipoprotein
Magnetic resonance imaging
Metabolism
Neurological research
Neurosciences & Neurology
Patients
Physiology
Risk factors
Science & Technology
Single nucleotide polymorphisms
Single-nucleotide polymorphism
Software
Stroke
Stroke (Disease)
Triglycerides
Uric acid
title Single nucleotide polymorphisms in the ANGPTL4 gene and the SNP-SNP interactions on the risk of atherosclerotic Ischaemic stroke
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