# Sex-specific effect of CPB2 Ala147Thr but not Thr325Ile variants on the risk of venous thrombosis: A comprehensive meta-analysis

Nora D Zwingerman, Alejandra Medina-Rivera, Irfahan D Kassam, Michael

D. Wilson, Pierre-Emmanuel Morange, David-Alexandre Trégouë, France D
Gagnon

► To cite this version:

Nora D Zwingerman, Alejandra Medina-Rivera, Irfahan D Kassam, Michael D. Wilson, Pierre-Emmanuel Morange, et al.. Sex-specific effect of CPB2 Ala147Thr but not Thr325Ile variants on the risk of venous thrombosis: A comprehensive meta-analysis. PLoS ONE, 2017, 45, pp.e0177768. 10.1371/journal.pone.0177768.t008. [https://doi.org/10.1371/journal.pone.0177768](https://doi.org/10.1371/journal.pone.0177768.t008). [https://doi.org/10.1371/journal.pone.0177768](https://doi.org/10.1371/journal.pone.0177768)

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RESEARCH ARTICLE

# Sex-specific effect of *CPB2* Ala147Thr but not Thr325Ile variants on the risk of venous thrombosis: A comprehensive meta-analysis

Nora Zwingerman¹, Alejandra Medina-Rivera²,³, Irfahan Kassam¹, Michael D. Wilson²,⁴, Pierre-Emmanuel Morange⁵,⁶, David-Alexandre Trégouët⁷,⁸,⁹, France Gagnon¹*

1 Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada,

2 Genetics and Genome Biology Program, SickKids Research Institute, Toronto, Canada, 3 Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Juriquilla, Santiago de Querétaro, Querétaro, Mexico, 4 Department of Molecular Genetics, University of Toronto, Toronto, Canada, 5 Institut National de la Santé et de la Recherche Médicale (INSERM), Unité Mixte de Recherche (UMR) en Santé 1062, Nutrition Obesity and Risk of Thrombosis, Marseille, France,

6 Faculté de Médecine, Aix Marseille Université, Marseille, France, 7 Institut National de la Santé et de la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1166, Paris, France,

8 Institute for Cardiometabolism and Nutrition, Paris, France, 9 Sorbonne Universités, Université Pierre et Marie Curie (UPMC Univ Paris 06), UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France

* france.gagnon@utoronto.ca

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## OPEN ACCESS

**Citation:** Zwingerman N, Medina-Rivera A, Kassam I, Wilson MD, Morange P-E, Trégouët D-A, et al. (2017) Sex-specific effect of *CPB2* Ala147Thr but not Thr325Ile variants on the risk of venous thrombosis: A comprehensive meta-analysis. PLoS ONE 12(5): e0177768. https://doi.org/10.1371/journal.pone.0177768

**Editor:** Pablo Garcia de Frutos, Institut d'Investigacions Biomediques de Barcelona, SPAIN

**Received:** June 21, 2016

**Accepted:** May 3, 2017

**Published:** May 26, 2017

**Copyright:** © 2017 Zwingerman et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

**Data Availability Statement:** All relevant data are within the paper and its supporting information files.

**Funding:** This work was supported by the Canadian Institutes of Health Research (Grant MOP 86466) and by the Heart and Stroke Foundation of Canada (Grant T6484). NZ and AMR are Fellows in the Canadian Institutes of Health Research Strategic Training for Advanced Genetic Epidemiology (CIHR STAGE) program. FG and

## Abstract

### Background

Thrombin activatable fibrinolysis inhibitor (TAFI), encoded by the Carboxypeptidase B2 gene (*CPB2*), is an inhibitor of fibrinolysis and plays a role in the pathogenesis of venous thrombosis. Experimental findings support a functional role of genetic variants in *CPB2*, while epidemiological studies have been unable to confirm associations with risk of venous thrombosis. Sex-specific effects could underlie the observed inconsistent associations between *CPB2* genetic variants and venous thrombosis.

### Methods

A comprehensive literature search was conducted for associations between Ala147Thr and Thr325Ile variants with venous thrombosis. Authors were contacted to provide sex-specific genotype counts from their studies. Combined and sex-specific random effects meta-analyses were used to estimate a pooled effect estimate for primary and secondary genetic models.

### Results

A total of 17 studies met the inclusion criteria. A sex-specific meta-analysis applying a dominant model supported a protective effect of Ala147Thr on venous thrombosis in females (OR = 0.81, 95%CI: 0.68,0.97; p = 0.018), but not in males (OR = 1.06, 95%CI:0.96–1.16; p = 0.263). The Thr325Ile did not show a sex-specific effect but showed variation in allele frequencies by geographic region. A subgroup analysis of studies in European countries
MDW hold Canada Research Chairs. AMR was funded by the Consejo Nacional de Ciencia y Tecnología (CONACYT).

**Competing interests:** The authors have declared that no competing interests exist.

showed decreased risk, with a recessive model (OR = 0.83, 95%CI:0.71–0.97, p = 0.021) for venous thrombosis.

## Conclusions

A comprehensive literature review, including unpublished data, provided greater statistical power for the analyses and decreased the likelihood of publication bias influencing the results. Sex-specific analyses explained apparent discrepancies across genetic studies of Ala147Thr and venous thrombosis. While, careful selection of genetic models based on population genetics, evolutionary and biological knowledge can increase power by decreasing the need to adjust for testing multiple models.

## Introduction

Cardiovascular diseases incidence, complications, response to treatment and burden vary between men and women [1, 2]. These outcome differences could be due to the sex-specific effects of cardiovascular disease risk factors, including hemostatic plasma protein levels, on disease expression [3]. Thrombin-activatable fibrinolysis inhibitor (TAFI) plasma levels, which play a critical role in maintaining the delicate balance between coagulation and fibrinolysis [4], are associated with thrombotic events [5–11]. TAFI levels have been shown to increase with age in females but not in males [6, 12, 13]. In addition of being partially explained by the effect of sex steroids [14], such sexual dimorphism could be due to natural selection impacting the genetic architecture of complex traits [15]. Sex can modify the effect of genetic variants. It has recently been shown that 12–15% of autosomal expression quantitative trait loci act in a sex-specific manner [16]. Specifically, genetic risk profiles have been shown to have sex-specific associations with cardiovascular disease [17]. A sex-specific effect was suggested in coronary heart disease for the Ala147Thr variant, in the *CPB2* gene encoding TAFI [17], but sex effect on venous thrombosis remains to be determined.

TAFI is a plasma protein, synthesized primarily by the liver, which circulates in plasma as an inactive precursor. TAFI activation occurs by trypsin-like enzymes such as thrombin, plasmin, and most efficiently by the thrombin-thrombomodulin complex on the vascular endothelial surface [18–20]. Active TAFI (TAFIα) down-regulates fibrinolysis by removing the carboxy-terminal lysine residues from partially degraded fibrin polymers during clot lysis, which prevents the binding and activation of plasminogen [21–23]. Through this mechanism, TAFIα stabilizes the fibrin clot making it more resistant to lysis and therefore decreases fibrinolytic activity [23–25]. The antifibrinolytic effect of TAFIα is dependent on TAFI plasma concentration, the rate of TAFI activation, and the stability of the active enzyme [18, 19, 26]. TAFI attenuates fibrinolysis through a threshold-dependent mechanism [27, 28], only when the TAFIα levels drop below the threshold does the rate of fibrinolysis increase exponentially.

The *CPB2* gene encodes TAFI. This gene is located on chromosome 13q14.11, spans approximately 48kb of genomic DNA that comprises 11 exons and 10 introns [29]. Variants in the *CPB2* gene have the potential to affect TAFI plasma levels, function, and stability and therefore may be functionally relevant to thrombotic disease risk. The two most studied *CPB2* variants are Ala147Thr and Thr325Ile, both resulting in amino acid substitutions. The antifibrinolytic effect of Ala147Thr variant in exon 6 does not appear to involve TAFI protein stability [26]. Interestingly variants encompassing exons 6–7 have been maintained by balancing selection [30], which may be a result of a heterozygote advantage, and one of the two major
haplotype clades and the preferential exon splicing of exon 7 is associated mainly with one haplotype [30]. The Ile-325 variant in exon 10, results in increased TAFI protein stability [26] and its antifibrinolytic effects are 30-60% greater than the Thr-325 variant [26, 31]. As a result, homozygosity for Ile-325 would be predicted to result in a more potent enzyme and increase the risk of a thrombotic event. Conversely, Ile-325 homozygosity has been associated with decreased TAFI levels [31-33]. A possible explanation for the apparent inconsistency is that moderate changes in TAFI levels do not alter the function because of the threshold-dependent mechanism.

Despite the critical hemostatic role of TAFI, epidemiological studies on the effect of the above common TAFI-associated variants on the risk venous thrombosis are inconclusive [32, 34-55] with inconsistent results between studies, and a recent meta-analysis [56] that has important methodological limitations. We speculate that these inconsistencies could be due to the interaction of these variants with sex on the risk of thrombotic events, and to the lack of statistical power of individual studies. To simultaneously address these two points, we conducted a comprehensive systematic review and meta-analysis that examines whether these variants are associated with venous thrombotic events in a sex-specific manner.

# Materials and methods

## Search strategy

To identify studies that examined the association between variants of *CPB2* and thrombotic events, EMBASE, MEDLINE, HuGE Navigator literature, and the HuGE Navigator GWAS Integrator databases were searched from their inception through to September 2015 using a combination of keywords and MeSH terms, including "thrombosis", "thromboembolism", "pulmonary embolism", "cerebral infarction", "cerebral thrombosis" with "TAFI", and "CPB2". Titles and abstracts were screened by two independent reviewers, with records that reported the investigation of the *CPB2* variants and thrombotic events carried forward to full-text screening. Here, a thrombotic event was defined as a thrombus occurring in a vein, which may or not embolize and become a pulmonary embolism. Additional records were searched in the reference lists of records included in the full-text screening to achieve a comprehensive search.

During the full-text screening, two independent reviewers determined eligible studies using the following criteria:

* *Inclusion criteria:* Studies that investigated the association between thrombotic events and rs1926447 C/T (Thr325Ile), rs3742264 G/A (Ala147Thr), and/or *CPB2* variants in high (>0.8) linkage disequilibrium (LD) calculated for each ethnicity, including GWAS and other genetic association studies.

* *Exclusion criteria:* Review articles, genetic linkage studies, non-peer reviewed studies (e.g. conference proceedings).

Data was abstracted onto a standardized form by the two independent reviewers based on the Strengthening of Reporting of Genetic Association Studies (STREGA) [57] and Human Genome Epidemiology Network (HuGENet) [58] guidelines, which included (1) study details, including the title, author, country, year of publication, and SNP(s) being studied; (2) the research methods and study participants, including study design, mean age, ethnicity, proportion of females, definitions of case and non-case, and subject ascertainment; [59] genotype information, including source of DNA, method of genotyping, genotype distribution, genotype contrasts, and whether population stratification and Hardy-Weinberg Equilibrium
(HWE) were addressed. When information was not available from the article, details were sought from papers reporting on the same study population, or by contacting respective authors. Each study was assessed for quality in accordance to STREGA [57] and HuGENet [58] guidelines. In particular, scores between zero and two were assigned each category in items (2) and [59] of the abstracted data, for a maximum score of 16. The list of quality assessment items is provided in S1 Table.

Finally, the corresponding authors of all included articles were contacted for sex-specific genotype counts for cases and non-cases.

## Meta-analysis

Crude odds ratios (OR) and 95% confidence intervals (CI) were calculated from the genotype frequencies for each study using the minor allele as the risk allele under dominant and recessive model for the Ala147Thr and Thr325Ile variants, respectively. These primary models for analysis were strategically selected *a priori* based on available population genetics, evolutionary and biological data. The dominant model (AA + GA vs. GG) was selected for the Ala147Thr variant based on both evolutionary and biological information: evidence of balancing selection [30], which could indicate a potential heterozygote advantage, and based on observation of increased mean TAFI Ag level for heterozygotes and homozygotes for the rare allele [32, 60]. The recessive model (TT vs. CT + CC) was selected for Thr325Ile variant based on evidence for homozygotes for the rare allele having changes in protein levels [31–33] and stability [26, 31]. An inverse-variance weighted random-effects model was then used to estimate a pooled effect estimate for venous thrombosis using Stata Version 12 software (StataCorp LP, College Station, Texas). The I² statistic and Cochran's Q statistic were used to assess the intensity and significance of between-study heterogeneity, respectively. Between-study heterogeneity was considered low, moderate, and high with corresponding I² values of 25%, 50%, and 75% and a Cochran's Q p-value <0.05 suggested statistically significant heterogeneity [61]. Funnel plots and Egger's test were used to assess publication bias [62]. Sex-specific meta-analyses for each variant, including all studies with sex-specific genotype information, were performed; an interaction test was used to determine if the associations were significantly different between the sexes for each variant.

Potential sources of between-study heterogeneity were investigated by sensitivity analyses. First, since departure from HWE is a potential indicator of poor genotyping or ascertainment bias, studies that deviated from HWE were excluded. Departure from HWE was assessed in the non-cases using a chi-squared statistic with one degree of freedom. Second, studies were stratified by geographic region for a subgroup analysis to investigate the effects of potential population substructure. Third, studies with potential misclassification of case and non-case status were excluded (e.g. studies where the definition of a non-case encompassed individuals with other types of thrombotic events, for example a myocardial infarction; studies where the definition of cases included individuals with a medical history suggesting a predisposition to thrombotic events). Fourth, high-risk study populations (e.g. FVL mutation carriers, study samples with early disease onset) were analyzed separately to investigate the association for individuals who may already be genetically predisposed for a thrombotic event. Lastly, examination of whether the use of proxy SNPs in LD influenced the results.

While the primary analyses were performed using a genetic model that was pre-selected based on biological data of the variants, secondary analyses of the variants examined the association using alternative genetic models. The heterozygote effect, homozygote effect, dominant, recessive, and allelic models were tested for comparison with our hypothesized primary models, as if we would assume the wrong genetic model, statistical power would be decreased.
The cumulative evidence for association of the Ala147Thr and Thr325Ile variants was assessed according to the Venice guidelines [63] that use 3 major criteria: 1) amount of evidence; 2) replication of results; and 3) protection from bias.

## Results

Overall 17 studies met the inclusion criteria and all met the quality assessment score to be included in this meta-analysis. For the Thr325Ile variant 15 studies had information and 14 studies had information for the Ala147Thr variant, with 12 studies containing information on both variants. A flow chart describing the selection process is presented in Fig 1, and a summary of the study characteristics is shown in S2 Table.

### Ala147Thr variant

In total, the meta-analysis for the CPB2 Ala147Thr variant and venous thrombosis included a total of 8076 cases and 12 772 non-cases. The genotype distribution of Ala147Thr variant in case and non-case groups are shown in S3 Table. The minor allele frequency in non-cases varied from 24.5% in a French population [47] to 48.4% in Spanish population [51].

Under a dominant model, the odds of a venous thrombotic event is 0.94 (95% CI: 0.88, 1.02; p = 0.128) (S1 Fig). Overall, there was low heterogeneity ($I^2$ = 16.8%, p = 0.270) across all studies, indicating consistent results across studies with a dominant model. There was an indication of small-study effects (p = 0.02) with the GWAS studies [50, 64, 65] having estimates closest to the null, however, the funnel plot appears fairly symmetrical with slightly more small studies on the left of the estimate (S2 Fig).

The genotype distribution of Ala147Thr variant by sex in case and non-case groups is shown in Table 1. An examination of the allele frequencies by sex in non-cases showed a significantly higher minor allele frequency in females compared to males (p = 0.03) across all studies where genotypes counts was provided by sex. For the meta-analysis stratified by sex, for females 4058 cases and 5367 non-cases were analyzed and for males 3222 cases and 3989 non-cases were included in the analysis. Under a dominant genetic model (AA + GA vs. GG), subgroup analysis by sex for venous thrombosis showed an OR of 0.81 (95% CI: 0.68, 0.97; p = 0.018) from the eight studies with genotype frequencies in females and 1.06 (95% CI: 0.96, 1.16; p = 0.263) from the eight studies with genotype frequencies in males (Fig 2). The association differed by sex with a statistically significant interaction (p = 0.004). The forest plot shows that the OR estimate for five of the eight studies in females had estimates below 0.80. There was a moderate amount of between-study heterogeneity ($I^2$ = 66.2%, p = 0.004) in females and no indication of between-study heterogeneity in males ($I^2$ = 0%, p = 0.263). A potential source of heterogeneity is the combination of common forms of venous thrombosis (i.e. venous thromboembolism which is composed of deep vein thrombosis and pulmonary embolism) and less common forms of venous thrombosis (e.g. portal vein thrombosis, renal vein occlusion, cerebral venous infarction); however, this explanation is unlikely as stratified analysis showed the effect estimates in both groups to be consistent (results not shown). In the eight studies with sex-specific data, there was no indication of publication bias or small study effects (Egger's test p = 0.392).

Sensitivity analyses—which included the exclusion of one study that did not show consistency with HWE in our analysis, subgrouping by geographical region, high-risk group and proxy SNPs—did not modify the observed between-study heterogeneity (data not shown). We used geographic region for subgroup analyses as a proxy approach to assess putative effects due to ethnic heterogeneity. Secondary analyses of alternative genetic models showed that results from the allelic (A vs. G) and heterozygote (GA vs. GG) models were fairly
<figure><img src="image_4.png" /><figcaption>**Fig 1. Flow-chart of the selection process for inclusion into the systematic review.** Outline of the selection process used to identify studies from a comprehensive literature search that investigated the *CPB2* variants and venous thrombosis.</figcaption></figure>

https://doi.org/10.1371/journal.pone.0177768.g001

consistent with those of the dominant model, where significant associations with thrombotic events were observed in females but not in males (Table 2). The strongest association was observed in the heterozygote model (despite smaller effective sample size), which is consistent with the previously described heterozygote advantage [30]. Based on the Venice criteria, there is moderate amount of evidence for association between Ala147Thr and thrombotic events in females.
<table><caption>Table 1. Distribution of Ala147Thr genotypes by sex among cases and non-cases in studies included in the meta-analysis.</caption><thead><tr><th rowspan="2">Included Study</th><th colspan="2">GG Genotype</th><th colspan="2">GA Genotype</th><th colspan="2">AA Genotype</th><th colspan="2">Minor Allele Frequency</th></tr><tr><th>Cases</th><th>Noncases</th><th>Cases</th><th>Noncases</th><th>Cases</th><th>Noncases</th><th>Cases</th><th>Noncases</th></tr></thead><tbody><tr><td colspan="9"><strong>MALES</strong></td></tr><tr><td>Martini et al. 2006</td><td>96</td><td>94</td><td>94</td><td>85</td><td>12</td><td>22</td><td>0.292</td><td>0.321</td></tr><tr><td>Tregouet et al. 2009</td><td>105</td><td>185</td><td>101</td><td>150</td><td>23</td><td>35</td><td>0.321</td><td>0.297</td></tr><tr><td>Steinbrugger et al. 2010</td><td>67</td><td>65</td><td>53</td><td>62</td><td>13</td><td>9</td><td>0.297</td><td>0.294</td></tr><tr><td>Antoni et al. 2011</td><td>234</td><td>174</td><td>238</td><td>143</td><td>50</td><td>31</td><td>0.324</td><td>0.295</td></tr><tr><td>Heit et al. 2012</td><td>332</td><td>322</td><td>323</td><td>305</td><td>90</td><td>63</td><td>0.338</td><td>0.312</td></tr><tr><td>de Hann et al. 2012</td><td>619</td><td>1020</td><td>584</td><td>925</td><td>120</td><td>222</td><td>0.311</td><td>0.316</td></tr><tr><td>Tokgoz et al. 2012</td><td>7</td><td>19</td><td>8</td><td>21</td><td>3</td><td>4</td><td>0.389</td><td>0.330</td></tr><tr><td>Orikaza et al. 2014</td><td>20</td><td>11</td><td>26</td><td>19</td><td>4</td><td>3</td><td>0.340</td><td>0.379</td></tr><tr><td colspan="9"><strong>FEMALES</strong></td></tr><tr><td>Martini et al. 2006</td><td>140</td><td>117</td><td>104</td><td>125</td><td>25</td><td>29</td><td>0.286</td><td>0.338</td></tr><tr><td>Tregouet et al. 2009</td><td>94</td><td>394</td><td>67</td><td>378</td><td>21</td><td>86</td><td>0.299</td><td>0.321</td></tr><tr><td>Steinbrugger et al. 2010</td><td>82</td><td>82</td><td>54</td><td>90</td><td>15</td><td>27</td><td>0.278</td><td>0.362</td></tr><tr><td>Antoni et al. 2011</td><td>476</td><td>354</td><td>421</td><td>334</td><td>123</td><td>74</td><td>0.327</td><td>0.316</td></tr><tr><td>Heit et al. 2012</td><td>365</td><td>250</td><td>312</td><td>345</td><td>81</td><td>74</td><td>0.313</td><td>0.368</td></tr><tr><td>de Hann et al. 2012</td><td>704</td><td>1140</td><td>634</td><td>1043</td><td>149</td><td>249</td><td>0.313</td><td>0.317</td></tr><tr><td>Tokgoz et al. 2012</td><td>21</td><td>21</td><td>15</td><td>27</td><td>5</td><td>8</td><td>0.305</td><td>0.384</td></tr><tr><td>Orikaza et al. 2014</td><td>63</td><td>51</td><td>73</td><td>46</td><td>14</td><td>13</td><td>0.303</td><td>0.327</td></tr></tbody></table>

https://doi.org/10.1371/journal.pone.0177768.t001

## Thr325Ile variant

In total, the meta-analysis included 15 studies that examined the association between the Thr325Ile variant and venous thrombosis (5347 cases and 8458 non-cases). The genotype distribution of Thr325Ile variant in case and non-case groups are shown in Table 3. The minor allele frequency in non-cases varied from 24.8% in Brazilian population [54] to 53.8% in Chinese population [45]. The only study that showed inconsistency with HWE was conducted in a non-European population [54].

Under the primary recessive model (TT vs. CT + CC), the odds of a venous thrombosis is 0.91 (95% CI: 0.77, 1.07; p = 0.244) (Fig 3). Overall, there was a low amount of heterogeneity ($I^2$ = 23.4%, p = 0.194). There was no indication of publication bias (Egger's test p = 0.330 and S3 Fig), or differences in allele frequencies by sex (p = 0.498). For the meta-analysis stratified by sex, 2416 female cases and 2823 female non-cases were analyzed from the six studies with sex specific data; and for males, 1873 cases and 1806 non-cases were included in the analysis from the seven studies with sex-specific data. Under a recessive genetic model, the interaction term to test differences between sexes was not significant (p = 0.665) where the OR in females was 0.99 (95% CI: 0.80, 1.232) and 0.93 (95% CI: 0.69, 1.24) in males. The Thr325Ile variant did not exhibit a sex-specific association.

An examination of allele frequencies showed large variation across studies. As ethnicity was not clearly defined for each study, we used the study geographic region as a proxy. The subgroup analysis by geographic region showed odds of 0.83 (95% CI: 0.71, 0.97; p = 0.021) for venous thrombosis among the ten studies conducted in European countries (Fig 4). The remaining geographical regions had a limited number of studies: two in the United States, one in Africa, one in South America, and one in Asia, and were therefore not meta-analyzed. Exclusion of two studies on indication that the non-cases likely belonged to the case population (i.e. these individuals showed evidence of thrombotic events) or the case group included individuals predisposed to a thrombotic event reduced the odds for venous thrombosis to 0.78
Ala147Thr Dominant Model and Risk Venous Thrombosis
Stratified by Sex

<figure><img src="image_5.png" /><figcaption>**Fig 2.** Sex-specific meta-analysis of the *CPB2* Ala147Thr variant using the dominant model and risk of venous thrombosis. The analysis was stratified by sex. The solid squares represent the ORs from the individual studies; horizontal lines represent corresponding CIs; the diamonds show the combined ORs.</figcaption></figure>

https://doi.org/10.1371/journal.pone.0177768.g002

(95% CI: 0.66, 0.93; p = 0.006) (S4 Fig). Restricting the analysis to high-risk study populations and excluding proxy SNPs did not affect the results (results not shown). The meta-analysis results under the primary and secondary genetic models in all European studies are presented in Table 4. Only recessive (TT vs. CT + CC) and homozygote (TT vs. CC) models showed significant associations for venous thrombotic events. Based on the Venice criteria there is moderate amount of evidence for association.
<table><caption>Table 2. Sex specific meta-analysis with primary and secondary genetic models of the association between Ala147Thr variant and risk of venous thrombotic events.</caption><thead><tr><th>Genotype Contrasts</th><th>Number of Studies</th><th>OR</th><th>95% CI</th><th>p-value</th><th>I<sup>2</sup> (%)</th><th>P-value for Cochran's Q</th></tr></thead><tbody><tr><td colspan="7">Females (Number of cases = 4058 and Number of non-cases = 5367)</td></tr><tr><td>Allelic model</td><td>8</td><td>0.89</td><td>(0.80, 0.99)</td><td>0.041</td><td>54.7</td><td>0.031</td></tr><tr><td>GA vs. GG</td><td>8</td><td>0.80</td><td>(0.67, 0.96)</td><td>0.015</td><td>65.9</td><td>0.005</td></tr><tr><td>AA vs. GG</td><td>8</td><td>0.92</td><td>(0.78, 1.09)</td><td>0.325</td><td>11.6</td><td>0.340</td></tr><tr><td><strong>AA + GA vs. GG</strong></td><td><strong>8</strong></td><td><strong>0.81</strong></td><td><strong>(0.68, 0.97)</strong></td><td><strong>0.018</strong></td><td><strong>66.2</strong></td><td><strong>0.004</strong></td></tr><tr><td>AA vs. GA + GG</td><td>8</td><td>1.01</td><td>(0.88, 1.16)</td><td>0.885</td><td>0.0</td><td>0.507</td></tr><tr><td colspan="7">Males (Number of cases = 3222 and Number of non-cases = 3989)</td></tr><tr><td>Allelic model</td><td>8</td><td>1.03</td><td>(0.96, 1.11)</td><td>0.376</td><td>0.0</td><td>0.623</td></tr><tr><td>GA vs. GG</td><td>8</td><td>1.06</td><td>(0.96, 1.17)</td><td>0.248</td><td>0.0</td><td>0.874</td></tr><tr><td>AA vs. GG</td><td>8</td><td>1.06</td><td>(0.86, 1.31)</td><td>0.605</td><td>18.8</td><td>0.281</td></tr><tr><td><strong>AA + GA vs. GG</strong></td><td><strong>8</strong></td><td><strong>1.06</strong></td><td><strong>(0.96, 1.16)</strong></td><td><strong>0.263</strong></td><td><strong>0.0</strong></td><td><strong>0.263</strong></td></tr><tr><td>AA vs. GA + GG</td><td>8</td><td>1.03</td><td>(0.83, 1.12)</td><td>0.784</td><td>26.2</td><td>0.219</td></tr></tbody></table>

The primary genetic model is bolded and there was a statistically significant interaction between sexes (p = 0.004).

https://doi.org/10.1371/journal.pone.0177768.t002

Discussion

Our strategy of implementing a systematic and comprehensive literature search, paired with persistent efforts to include unpublished studies and to collect sex-specific genotype counts on these variants by directly contacting authors permitted a thorough meta-analysis to be conducted. Applying biological, population genetics and evolutionary knowledge to select primary genetic models for candidate gene analysis allowed us to approach the data with a *priori* hypotheses and thus, avoid unnecessary multiple testing. Prior suggestions of sex differences in risk profiles for variants in the *CPB2* gene for cardiovascular disease [17] led to sex-specific

<table><caption>Table 3. Distribution of CPB2 Thr325Ile genotypes among cases and non-cases in studies included in the meta-analysis.</caption><thead><tr><th rowspan="2">Included Study</th><th colspan="2">CC Genotype</th><th colspan="2">CT Genotype</th><th colspan="2">TT Genotype</th><th colspan="2">Minor Allele Frequency</th></tr><tr><th>Cases</th><th>Noncases</th><th>Cases</th><th>Noncases</th><th>Cases</th><th>Noncases</th><th>Cases</th><th>Noncases</th></tr></thead><tbody><tr><td><strong>Venous Thrombosis</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Morange et al. 2001</td><td>80</td><td>86</td><td>54</td><td>63</td><td>11</td><td>17</td><td>0.262</td><td>0.292</td></tr><tr><td>Zee et al. 2005*</td><td>59</td><td>56</td><td>43</td><td>54</td><td>18</td><td>10</td><td>0.329</td><td>0.308</td></tr><tr><td>Le Cam-Duchez et al. 2006</td><td>62</td><td>25</td><td>55</td><td>22</td><td>10</td><td>6</td><td>0.295</td><td>0.321</td></tr><tr><td>Martini et al. 2006</td><td>219</td><td>215</td><td>218</td><td>212</td><td>34</td><td>45</td><td>0.304</td><td>0.32</td></tr><tr><td>De Bruijne et al. 2007</td><td>40</td><td>53</td><td>69</td><td>52</td><td>9</td><td>13</td><td>0.369</td><td>0.331</td></tr><tr><td>Verdu et al. 2008</td><td>67</td><td>33</td><td>50</td><td>51</td><td>14</td><td>16</td><td>0.298</td><td>0.415</td></tr><tr><td>Heylen et al. 2006</td><td>70</td><td>37</td><td>63</td><td>27</td><td>11</td><td>5</td><td>0.295</td><td>0.268</td></tr><tr><td>Tregouet et al. 2009</td><td>201</td><td>584</td><td>173</td><td>518</td><td>32</td><td>124</td><td>0.292</td><td>0.312</td></tr><tr><td>Hoekstra et al. 2010</td><td>43</td><td>46</td><td>43</td><td>41</td><td>11</td><td>12</td><td>0.335</td><td>0.328</td></tr><tr><td>Kozian et al. 2010</td><td>99</td><td>1592</td><td>86</td><td>1275</td><td>21</td><td>277</td><td>0.311</td><td>0.291</td></tr><tr><td>Antoni et al. 2011</td><td>745</td><td>517</td><td>643</td><td>464</td><td>152</td><td>128</td><td>0.307</td><td>0.325</td></tr><tr><td>Heit et al. 2012</td><td>786</td><td>759</td><td>576</td><td>591</td><td>141</td><td>109</td><td>0.285</td><td>0.277</td></tr><tr><td>Li et al. 2012</td><td>27</td><td>15</td><td>42</td><td>44</td><td>11</td><td>21</td><td>0.4</td><td>0.538</td></tr><tr><td>Tokgoz et al. 2012</td><td>21</td><td>45</td><td>30</td><td>43</td><td>8</td><td>12</td><td>0.39</td><td>0.335</td></tr><tr><td>Orikaza et al. 2014</td><td>107</td><td>87</td><td>76</td><td>41</td><td>17</td><td>15</td><td>0.275</td><td>0.248</td></tr></tbody></table>

https://doi.org/10.1371/journal.pone.0177768.t003

<footnote>* Genotype counts calculated based on genotype and allele frequencies.</footnote>
Thr325Ile Recessive Model and Risk of Venous Thrombosis

<figure><img src="image_6.png" /><figcaption>**Fig 3.** Meta-analysis results of the *CPB2 Thr325Ile* variant and risk of venous thrombosis using a recessive model. The solid squares represent the ORs from the individual studies; horizontal lines represent corresponding CIs; the diamonds show the combined ORs.</figcaption></figure>

https://doi.org/10.1371/journal.pone.0177768.g003

analyses to detect associations that may otherwise be missed when both sexes are analyzed
together.

Ala147Thr variant

The dominant model was selected as the primary model for association as per evidence for a
potential heterozygote advantage based on balancing selection in the exons 6–7 region of
*CPB2* [30] and differences in TAFI levels for heterozygotes and homozygotes for the recessive
allele [32, 60]. We showed that when the Ala147Thr variant is analyzed in males and females
combined, there is no observed association with thrombotic events (OR = 0.94, p = 0.128).
These results are consistent with previous results of a meta-analysis of this variant with coro-
nary heart disease [34] but inconsistent with a recent meta-analysis with venous thrombosis
[56], which reported an association across all genetic models.

There are key differences between the two venous thrombosis meta-analysis methodologies
that may explain the discordant results. First, Qian et al. 2015 included much fewer studies
than the current meta-analysis (e.g. 15 versus 8 studies for the Thr325Ile variant). Second, of
Thr325lle Recessive Model and Risk of Venous Thrombosis
In a Subgroup of European Studies

<figure><img src="image_7.png" /><figcaption>**Fig 4.** Meta-analysis results of the *CPB2* Thr325lle variant and risk of venous thrombosis in European study populations. The solid squares represent the ORs from the individual studies; horizontal lines represent corresponding CIs; the diamonds show the combined ORs.</figcaption></figure>

https://doi.org/10.1371/journal.pone.0177768.g004

the studies that were included by Qian et al., two studies appear to have overlapping study samples and included oncologic patients; differences in the etiologies of provoked (e.g. cancer) and idiopathic venous thrombosis are well documented [66], Third, several of the reported genotype counts for each genetic model do not match the genotype counts provided in the original papers—it is unclear what the source of the discordance and consequently the effect estimates do not always match the unadjusted effect estimated provided in the original papers.

The analysis of males and females combined show higher heterogeneity between studies compared to males analyzed alone; however, significant heterogeneity still exists when the females were analyzed separately. The Ala147Thr variant showed a significantly higher minor allele frequency in females compared to males and was previously suggested to be associated with coronary heart disease in a sex-specific manner; together these justified the investigation of a sex-specific association. The results of our meta-analysis support a sex-specific association between Ala147Thr and all thrombotic events in females, where we observed 19% decreased risk with those having at least one copy of the minor allele, while no association is observed in males. This observation is consistent with the results of the single study by Silander et al. who showed that the Ala147Thr variant, under a dominant model, had a suggestive protective effect for coronary heart disease (hazard ratio (HR) = 0.31, 95% CI: 0.16, 0.60) in females but no effect in males (HR = 0.89, 95% CI 0.58–1.38) [17]. The size of the effect in the study by Silander et al is stronger than the effect observed in our meta-analysis, which may be due to the

<table><caption>**Table 4.** Meta-analysis of the association between Thr325lle variant and risk of venous thrombosis in European study populations.</caption><thead><tr><th>Genotype Contrasts</th><th>Number of Studies</th><th>OR</th><th>95% CI</th><th>p-value</th><th>I<sup>2</sup> (%)</th><th>P-value for Cochran's Q</th></tr></thead><tbody><tr><td colspan="7">Venous Thrombosis (Number of cases = 3235 and number of non-cases = 3486)</td></tr><tr><td>Allelic model</td><td>10</td><td>0.94</td><td>(0.87, 1.02)</td><td>0.139</td><td>11.5%</td><td>0.337</td></tr><tr><td>CT vs. CC</td><td>10</td><td>1.00</td><td>(0.88, 1.14)</td><td>0.994</td><td>22.6%</td><td>0.235</td></tr><tr><td>TT vs. CC</td><td>10</td><td>0.82</td><td>(0.70, 0.97)</td><td>0.021</td><td>0.0%</td><td>0.736</td></tr><tr><td>TT + CT vs. CC</td><td>10</td><td>0.97</td><td>(0.85, 1.10)</td><td>0.593</td><td>28.2%</td><td>0.185</td></tr><tr><td>TT vs. CT + CC</td><td>10</td><td><strong>0.83</strong></td><td><strong>(0.71, 0.97)</strong></td><td><strong>0.021</strong></td><td><strong>0.0%</strong></td><td><strong>0.923</strong></td></tr></tbody></table>

The primary genetic model is bolded and there was no interaction effect by sex.

https://doi.org/10.1371/journal.pone.0177768.t004
differences in study design and outcome (coronary artery disease versus venous thrombosis). Most of the studies included in our meta-analysis had a case-control design, while the study by Silander had a case-cohort design with time-at-risk data and an outcome of coronary heart disease, providing a more precise estimate of risk. Similarly, a study by Smith et al 2007, for which we did not have genotype information, observed a decreased risk for rs17844078, which is in high LD with Ala147Thr, in postmenopausal women but failed to replicate the association in a second study sample of both men and women [48]. Because individual studies did not examine a sex-specific effect, there is limited risk of publication bias for the sex-specific analysis.

## Thr325Ile variant

The recessive model was selected for the primary model based on evidence for homozygotes having changes in protein levels [31–33] and stability [26, 31]. Under a recessive model (TT vs. CT + CC), the meta-analysis OR for a venous thrombosis, across the 15 unique studies, was not overall significant. This result is inconsistent with the meta-analysis by Qian et al 2015, where they analyzed the association across eight studies and observed a significant association. As outlined above, there are a number of methodological differences; specifically study and sample size difference. The Thr325Ile variant showed allele frequency variation by geographical region. When the analysis was limited to the European population, we observed a statistically significant decreased risk of venous thrombosis (OR = 0.83, p = 0.021). The allele frequency of this variant has been demonstrated to vary between European and African populations [67]. In this meta-analysis, we also observed substantial variability by region. A previous meta-analysis examining Thr325Ile and coronary artery disease observed an overall increased risk (OR = 1.25, 95% CI: 1.02, 1.54) in mixed ethnicities, including: European, Asian, and African study populations [34]. However, in a subgroup analysis of only European studies, the association did not reach statistical significance (OR = 1.13, 95% CI: 0.90, 1.40) [34]. The opposing effect of the variant for venous thrombosis compared to coronary artery disease seems contradictory but it is biologically plausible. Venous thrombi are clots that are rich in fibrin and red blood cells. The 325-Ile variant is associated with lower plasma levels of TAFI [32, 33], and since TAFI works in a threshold dependent manner, there may not be adequate levels of TAFI to stabilize the clot, resulting in increased fibrinolysis. Arterial thrombi have a higher concentration of platelets because they are the result of a ruptured of atherosclerotic plaque, from having coronary artery disease. Platelets also secrete TAFI, which augment TAFI already present in plasma and enhance the anti-fibrinolytic effects [68], and therefore would act to stabilize the clot and increase the risk of arterial thrombosis. Therefore, it is possible for the opposing directions of association for venous compared to arterial thrombosis may be due to impaired or enhanced fibrinolytic activity. Additionally, TAFI is also involved in inflammation; changes in TAFI levels may result in abnormal regulation of inflammation [69] that is specific to arterial thrombosis, which may result in an increased risk for coronary heart disease.

## Strengths and limitations

CPB2 Ala147Thr and Thr325Ile variants are the most widely studied variants in CPB2 gene and have been previously associated with TAFI levels and activity. Both variants result in amino acid substitutions and offer biologically plausible mechanisms to alter the risk of thrombotic events. However, as for any genetic association studies, there is the potential that the associated variants are in fact in LD with other variants that are causally associated with disease risk. For instance the Ala147Thr is in LD with rs9526136 variant, which has been associated
with intact TAFI and TAFI activation peptide [43]. Further, the study by Smith et al. 2007 identified a variant in the *CPB2* gene, rs17844078, that showed a similar association in females to the Ala147Thr variant; these two variants were in high LD [48], making it difficult to pinpoint the causal variant.

This systematic review included a comprehensive search of all articles assessing any *CPB2* variants and risk of a venous thrombotic event, and followed rigorous systematic review methods [58, 62, 63, 70]. A potential source of missing data is whether there was selective reporting of positive results. Tests for publication bias did not detect publication bias and many studies included reported on multiple variants and included null associations. Additionally, the inclusion of data from GWAS studies and unpublished results limit the susceptibility of this meta-analysis to publication bias. However, a meta-analysis is susceptible to the same potential sources of bias and error as the individual studies. Importantly, using genotype frequency to calculate crude OR and not adjusting for potential confounder or taking into account matching could potentially alter the results. The calculated OR in the meta-analysis corresponded to the adjusted OR presented in the individual studies, which suggest that bias due to known potential confounders is unlikely. Further, potential sources of bias were also assessed through several carefully conducted sensitivity analyses outlined in the methods.

## Conclusions

This meta-analysis provides evidence that the Thr325Ile variant under the recessive model is significantly associated with decreased risk of venous thrombosis in Europeans. Additionally, there is evidence to support a sex-specific association between the Ala147Thr variant and risk of venous thrombosis in females under a dominant model. It is estimated that 15% of SNPs may act in a sex-dependent manner [16] and may help explain sexual dimorphism seen in the occurrence of thrombotic events. Although, most individual studies were unable to detect an association between *CPB2* variants and the risk of thrombotic events, this meta-analysis supports the role of *CPB2* variants in the risk of venous thrombosis.

## Supporting information

S1 Table. Quality assessment items, with each item out of 2, adapted from the STREGA and HuGENet guidelines.

(DOCX)

S2 Table. Characteristics of studies included in the meta-analysis of either Thr325Ile and/or Ala147Thr variants and risk of venous thrombosis.

(DOCX)

S3 Table. Distribution of *CPB2* Ala147Thr genotypes among cases and non-cases in studies included in the meta-analysis.

(DOCX)

S1 Fig. Meta-analysis results of the *CPB2* Ala147Thr variant and risk of venous thrombosis in all studies. The solid squares represent the ORs from individual studies; horizontal lines represent corresponding CIs; the diamonds show the combined ORs.

(TIF)

S2 Fig. Funnel plot was used to assess publication bias for all studies with genotype data on the Ala147Thr variant with the dominant model.

(TIF)
S3 Fig. Funnel plot was used to assess publication bias for all studies with genotype data on the Thr325Ile variant with the recessive model.
(TIF)

S4 Fig. Meta-analysis results of the CPB2 Thr325Ile variant and risk of venous thrombosis in European study populations (excluding three studies). The solid squares represent the ORs from individual studies; horizontal lines represent corresponding CIs; the diamonds show the combined ORs.
(TIF)

S1 File. Meta-analysis on genetic association studies checklist.
(DOCX)

**Acknowledgments**

We would like to thank: Frits R. Rosendaal, Department of Clinical Epidemiology, Leiden University Medical Center, The Netherlands; Cristina Mary Orikaza, Federal University São Paulo, Brazil; John A. Heit, Department of Internal Medicine, Mayo Clinic, United States of America; Serhat Tokgoz, NEU Meram Medical Faculty, Necemettin Erkbakan University, Turkey; Martin Weger, Department of Ophthalmology, Medical University of Graz, Austria; for providing genotype data from their respective studies.

**Author Contributions**

**Conceptualization:** NZ FG.

**Data curation:** NZ AMR.

**Formal analysis:** NZ IK.

**Funding acquisition:** FG.

**Methodology:** NZ FG.

**Supervision:** FG.

**Visualization:** NZ.

**Writing – original draft:** NZ.

**Writing – review & editing:** NZ IK MW PEM DAT FG.

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