Association of C7673T polymorphism in apolipoprotein B gene with ischemic stroke in the Chinese population: a meta-analysis

Cao, Yuezhou; Fan, Xin; Zhu, Wusheng; Ni, Guihua; Qian, Yun; Han, Yaling; Ma, Minmin

doi:10.3109/00207454.2015.1052429

Cited by 4 publications

(5 citation statements)

References 28 publications

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“…Studies in a larger population based on a single minority are needed for a more clear observation. For the subgroups of HT, CHD, CI and cholelithiasis in the XbaI analysis, our finding were partially in accordance with the published four articles [ 5 , 9 , 49 - 50 ]. In addition, hyperlipidemia was diagnosed when one of the following four lipids (TC、LDL、HDL and TG ) was more than the normal serum level, and thus the statistical power of the single lipid (such as LDL) to detect differences may be limited due to the smaller involved sample size.…”

Section: Discussionsupporting

confidence: 91%

Association between the APOB XbaI and EcoRI polymorphisms and lipids in Chinese: a meta-analysis

Zhang

Wen

2015

Lipids Health Dis

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BackgroundNo previous meta-analysis was to report the association between the apolipoprotein B (APOB) XbaI and EcoRI polymorphisms and serum lipids in Chinese. We performed the study to investigate their potentially association.Methods and Results Studies in English and Chinese were found via a systematic search of Pubmed, Embase, CNKI and Wanfang databases. The dominant genetic model and random-effects model were used to pool data from individual studies. As a result, a total of 30 articles with 5611 subjects for XbaI and 2653 subjects for EcoRI were included in the current study. For the XbaI polymorphism, overall, subjects carrying X+ allele were significantly associated with higher TC,TG and LDL compared with X-X- genotype (Pvalue =0.0006, OR (95 %) = -0.55 (-0.86,-0.23); Pvalue = 0.0004, OR (95 %) = -0.30 (-0.47,-0.14); (Pvalue = 0.05, OR (95 %) = -0.23(-0.46,-0.00), respectively). Similar results were observed in the subgroups of Han, healthy individuals (HT), coronary heart disease (CHD), cerebral infarction (CI), and cholelithiasis. For HDL, positive association between X+ allele with Lower lipid value was found in CHD and CI subgroups. For EcoRI polymorphism, overall, the E- allele carriers were found to be obviously linked with elevated LDL and lower HDL compared with E + E+ genotype (Pvalue = 0.02,OR (95 %) = -0.27 (-0.49,-0.05); Pvalue = 0.01, OR (95 %) = 0.17 (0.03, 0.30), respectively). TC was significantly high in subjects carrying E- allele in the subgroup of hyperlipidemia. No evidence of publication bias was observed.ConclusionsThe two genetic variants of APOB may be associated with serum lipids in Chinese.

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Section: Discussionsupporting

confidence: 91%

Association between the APOB XbaI and EcoRI polymorphisms and lipids in Chinese: a meta-analysis

Zhang

Wen

2015

Lipids Health Dis

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“…To date, accumulated meta-analysis has been performed to clarify the association of genetic polymorphisms with IS risk. Variants in several genes were identified as risk factors for IS, including apolipoprotein B , beta-2 adrenergic receptor , methylenetetrahydrofolate reductase ( MTHFR), and HDAC9 [49–53]. However, some other variants, such as IL-6 G572C, PON1 L55M, and CYP11B2 C-344T were not associated with susceptibility to IS [44,54,55].…”

Section: Discussionmentioning

confidence: 99%

No Association Between SNP56 in PDE4D Gene and Susceptibility to Ischemic Stroke: A Meta-Analysis of 15 Studies

2016

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BackgroundRecent studies demonstrated that polymorphisms in the PDE4D gene were associated with several processes involved in the occurrence of ischemic stroke (IS). The association between specific PDE4D single-nucleotide polymorphism 56 (SNP56) and IS risk was initially identified via genome-wide association studies (GWAS), although the GWAS in different populations produced inconclusive results. Thus, we performed a meta-analysis to better explain the association between PDE4D SNP56 and IS risk.Material/MethodsA literature search was conducted using PubMed, Embase, and Web of Science up to June 1, 2015. A fixed-effects or random-effects model was used to calculate the pooled odds ratios (ORs) based on the results from the heterogeneity tests.ResultsFinally, we performed a meta-analysis of 15 studies, involving 8731 IS patients and 10,756 controls. The results showed nonsignificant association between PDE4D SNP56 and IS risk (T vs. A: OR=1.01, 95%CI=0.88–1.15, P=0.90). Similarly, in the subgroup analysis by ethnicity, no significant association was observed in Asian (T vs. A: OR=1.08, 95%CI=0.80–1.44, P=0.62) or European (T vs. A: OR=0.96, 95%CI=0.86–1.08, P=0.54) population. Moreover, funnel plots and Egger regression testing showed no evidence of publication bias.ConclusionsIn summary, current evidence suggested that PDE4D SNP56 might not be associated with an increased susceptibility to IS. However, this conclusion needs further validation by well-designed studies with large sample sizes.

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“…Then, a fixed-effects trans-ethnic meta-analysis was done including all samples (67,162 [49]. The results of any stroke, as well as the subtypes of stroke, were reported in distinct files which consist of any stroke (AS) cases (67,162), any ischemic stroke (AIS) cases (60,341), and large artery stroke (LAS) cases (6,688), cardioembolic stroke (CES) cases (9,006), and small vessel stroke (SVS) cases (11,710). The datasets were downloaded on 14 April 2022.…”

Section: Stroke Gwas Summary Statistics Datamentioning

confidence: 99%

“…The biomarkers for stroke risk assessment of individuals are currently unavailable, warranting the identification of potential biomarkers for stroke risk, which may enhance the stroke risk assessment and develop novel therapeutics. Past genome-wide association studies (GWAS) have identified several risk loci associated with stroke, including rs2304556 (located in FMNL2) and rs1986743 (located in ARL6IP6) [5][6][7][8][9][10]. The latest GWAS meta-analysis of stroke has revealed 89 risk loci associated with stroke [11].…”

Section: Introductionmentioning

confidence: 99%

Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke

Islam

Rahman

Khan

et al. 2023

Preprint

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Stroke is the second largest cause of mortality in the world. Genome-wide association studies (GWAS) have identified some genetic variants associated with stroke risk, but their putative functional causal genes are unknown. Hence, we aimed to identify putative functional causal gene biomarkers of stroke risk. We used a summary-based Mendelian randomisation (SMR) approach to identify the pleiotropic associations of genetically regulated traits (i.e., gene expression and DNA methylation) with stroke risk. Using SMR approach, we integrated cis-expression quantitative loci (cis-eQTLs) and cis-methylation quantitative loci (cis-mQTLs) data with GWAS summary statistics of stroke. We also utilised heterogeneity in dependent instruments (HEIDI) test to distinguish pleiotropy from linkage from the observed associations identified through SMR analysis. Our integrative SMR analyses and HEIDI test revealed 45 candidate biomarker genes (FDR < 0.05; PHEIDI>0.01) that were pleiotropically or potentially causally associated with stroke risk. Of those candidate biomarker genes, 10 genes (HTRA1, PMF1, FBN2, C9orf84, COL4A1, BAG4, NEK6, SH2B3, SH3PXD2A, ACAD10) were differentially expressed in genome-wide blood transcriptomics data from stroke and healthy individuals (FDR<0.05). Functional enrichment analysis of the identified candidate biomarker genes revealed gene ontologies and pathways involved in stroke, including cell aging, metal ion binding and oxidative damage. Based on the evidence of genetically regulated expression of genes through SMR and directly measured expression of genes in blood, our integrative analysis suggests ten genes as blood biomarkers of stroke risk. Furthermore, our study provides a better understanding of the influence of DNA methylation on the expression of genes linked to stroke risk.

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Association of C7673T polymorphism in apolipoprotein B gene with ischemic stroke in the Chinese population: a meta-analysis

Abstract: Our meta-analysis revealed that C7673T polymorphism in apoB gene was significantly associated with increased IS risk in the Chinese population.

Cited by 4 publications

References 28 publications

Association between the APOB XbaI and EcoRI polymorphisms and lipids in Chinese: a meta-analysis

Association between the APOB XbaI and EcoRI polymorphisms and lipids in Chinese: a meta-analysis

No Association Between SNP56 in PDE4D Gene and Susceptibility to Ischemic Stroke: A Meta-Analysis of 15 Studies

Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke

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