Plasminogen activator inhibitor type 1 (PAI1) and platelet glycoprotein IIIa (PGIIIa) polymorphisms in Black South Africans with pre‐eclampsia

Pegoraro, R.J.; Hira, B; Rom, L.; Moodley, J.

doi:10.1034/j.1600-0412.2003.00085.x

Cited by 30 publications

(20 citation statements)

References 27 publications

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“…Further subgroup analysis based on comparison of the PlA1/A1 versus PlA2/A2 genotype failed to show a significant association ( n = 23,836; OR 1.023, 95% CI 0.877–1.192; p = 0.774) [70]–[72], [81], [82], [86]–[91], [95], [98]–[100], [102]–[104], [106]–[108], [111]–[114], [116], [117], [120], [122], [124], [128] (Figure 3); however, within this analysis, the number of subjects with the PlA2/A2 genotype was small, consisting of 333 cases and 1,504 controls.…”

Section: Resultsmentioning

confidence: 99%

“…For subjects ≤45 years old, carriage of the PlA2 allele produced a pooled OR for MI of 1.205 ( n = 9,547; 95% CI 1.067–1.360; p = 0.003) with significant heterogeneity (I 2 = 70.3%, p<0.001), and analysis using the random-effects model again increased the level of association (OR 1.356, 95% CI 1.044–1.762; p = 0.022) [72], [82], [84], [86], [91], [97], [107], [116], [121]–[123]. Significant heterogeneity and an increased level of association as compared with the total population were also observed using the random-effects model for the ≤55 and ≤65 year-old subgroups.…”

Section: Resultsmentioning

confidence: 99%

“…Cohort studies did not demonstrate an association between carriage of the PlA2 allele and MI ( n = 19,032; OR 0.996, 95% CI 0.917–1.082; p = 0.926) [80], [85], [86], [92]–[95], [97], [100], [105], [106], [109], [112], [114], [118], [125], [126], whereas case-control studies did ( n = 21,660; OR 1.126, 95% CI 1.057–1.198; p<0.001) (Figure 6) [70]–[73], [81]–[84], [87]–[91], [96], [98], [99], [101]–[104], [107], [108], [110], [111], [113], [115]–[117], [119]–[124], [127], [128]. Studies with <250 cases showed a significant association ( n = 10,145; OR 1.240, 95% CI 1.139–1.350; p = 0.006) [70], [72], [73], [80]–[83], [85], [88]–[94], [97], [98], [102], [103], [105], [108], [110], [111], [113]–[116], [118]–[127], [130], whereas studies with ≥250 cases did not ( n = 30,547; OR 0.999, 95% CI 0.935–1.084; p = 0.864) …”

Section: Resultsmentioning

confidence: 99%

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The PlA1/A2 Polymorphism of Glycoprotein IIIa as a Risk Factor for Myocardial Infarction: A Meta-Analysis

2014

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BackgroundThe PlA2 polymorphism of glycoprotein IIIa (GPIIIa) has been previously identified as being associated with myocardial infarction (MI), but whether this represents a true association is entirely unclear due to differences in findings from different studies. We performed a meta-analysis to evaluate whether this polymorphism is a risk factor for MI.MethodsElectronic databases (MEDLINE and EMBASE) were searched for all articles evaluating genetic polymorphisms of GPIIIa. For studies where acute coronary events were recorded in association with genetic analysis, pooled odds ratios (ORs) were calculated using fixed-effects and random-effects models. The primary outcome measure was MI, and a secondary analysis was also performed for acute coronary syndromes (ACS) more generally.Findings57 studies were eligible for statistical analysis and included 17,911 cases and 24,584 controls. Carriage of the PlA2 allele was significantly associated with MI (n = 40,692; OR 1.077, 95% CI 1.024–1.132; p = 0.004) but with significant publication bias (p = 0.040). The degree of association with MI increased with decreasing age of subjects (≤45 years old: n = 9,547; OR 1.205, 95% CI 1.067–1.360; p = 0.003) and with adjustment of data for conventional cardiovascular risk factors (n = 12,001; OR 1.240, 95% CI 1.117–1.376; p<0.001). There was a low probability of publication bias for these subgroup analyses (all p<0.05).ConclusionsThe presence of significant publication bias makes it unclear whether the association between carriage of the PlA2 allele and MI is true for the total population studied. However for younger subjects, the relative absence of conventional cardiovascular risk factors results in a significant association between carriage of the PlA2 allele and MI.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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The PlA1/A2 Polymorphism of Glycoprotein IIIa as a Risk Factor for Myocardial Infarction: A Meta-Analysis

2014

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“…30 ) Although inclusion was often initially reported in a straightforward fashion, details were often missing-for example, one report noted that ''Only indigenous Zuluspeaking Black African women were included in the study and those with known nonindigenous relatives were excluded.'' 31 The method of determination that a relative was ''non-indigenous'' was, however, never reported.…”

Section: Resultsmentioning

confidence: 99%

Non-reporting and inconsistent reporting of race and ethnicity in articles that claim associations among genotype, outcome, and race or ethnicity

et al. 2006

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Background: The use of race as a category in medical research is the focus of an intense debate, complicated by the inconsistency of presumed independent variables, race and ethnicity, on which analysis depends. Interpretation is made difficult by inconsistent methods for determining the race or ethnicity of a participant. The failure to specify how race or ethnicity was determined is common in the published literature. Hypothesis: Criteria by which they assign a research participant to racial or ethnic categories are not reported by published articles. Methods: Methods were reviewed for assigning race and ethnicity of research participants in 268 published reports reporting associations among race (or ethnicity), health outcome and genotype. Results: Of the 268 published reports reviewed, it was found that 192 (72%) did not explain their methods for assigning race or ethnicity as an independent variable. This was despite the fact that 180 (67%) of those reports reached conclusions about associations among genetics, health outcome and race or ethnicity. Conclusions: More attention needs to be given to the definition of race and ethnicity in genetic studies, especially in those diseases where health disparities are known to exist.

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“…Much less data is available for continental African populations. To date, only three small-scale studies have been performed in black African individuals, showing an even higher prevalence of the 5G allele than in African Americans [15], [26], [27].…”

Section: Introductionmentioning

confidence: 99%

In Black South Africans from Rural and Urban Communities, the 4G/5G PAI-1 Polymorphism Influences PAI-1 Activity, but Not Plasma Clot Lysis Time

Lange

Rijken²,

Hoekstra

et al. 2013

PLoS ONE

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Data on genetic and environmental factors influencing PAI-1 levels and their consequent effect on clot lysis in black African populations are limited. We identified polymorphisms in the promoter area of the PAI-1 gene and determined their influence on PAI-1act levels and plasma clot lysis time (CLT). We also describe gene-environment interactions and the effect of urbanisation. Data from 2010 apparently healthy urban and rural black participants from the South African arm of the PURE study were cross-sectionally analysed. The 5G allele frequency of the 4G/5G polymorphism was 0.85. PAI-1act increased across genotypes in the urban subgroup (p = 0.009) but not significantly in the rural subgroup, while CLT did not differ across genotypes. Significant interaction terms were found between the 4G/5G polymorphism and BMI, waist circumference and triglycerides in determining PAI-1act, and between the 4G/5G polymorphism and fibrinogen and fibrinogen gamma prime in determining CLT. The C428T and G429A polymorphisms did not show direct relationships with PAI-1act or CLT but they did influence the association of other environmental factors with PAI-1act and CLT. Several of these interactions differed significantly between rural and urban subgroups, particularly in individuals harbouring the mutant alleles. In conclusion, although the 4G/5G polymorphism significantly affected PAI-1act, it contributed less than 1% to the PAI-1act variance. (Central) obesity was the biggest contributor to PAI-1act variance (12.5%). Urbanisation significantly influenced the effect of the 4G/5G polymorphism on PAI-1act as well as gene-environment interactions for the C428T and G429A genotypes in determining PAI-1act and CLT.

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Plasminogen activator inhibitor type 1 (PAI1) and platelet glycoprotein IIIa (PGIIIa) polymorphisms in Black South Africans with pre‐eclampsia

Cited by 30 publications

References 27 publications

The PlA1/A2 Polymorphism of Glycoprotein IIIa as a Risk Factor for Myocardial Infarction: A Meta-Analysis

The PlA1/A2 Polymorphism of Glycoprotein IIIa as a Risk Factor for Myocardial Infarction: A Meta-Analysis

Non-reporting and inconsistent reporting of race and ethnicity in articles that claim associations among genotype, outcome, and race or ethnicity

In Black South Africans from Rural and Urban Communities, the 4G/5G PAI-1 Polymorphism Influences PAI-1 Activity, but Not Plasma Clot Lysis Time

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