Introduction Cerebral venous thrombosis (CVT) is a rare cerebrovascular condition accounting for <1% of all stroke cases and mainly affects young adults. Its genetic aetiology is not clearly elucidated.
Methods and analysis To better understand the genetic basis of CVT, we have established an international biobank of CVT cases, Biorepository to Establish the Aetiology of Sinovenous Thrombosis (BEAST) which aims to recruit highly phenotyped cases initially of European descent and later from other populations. To date we have recruited 745 CVT cases from 12 research centres. As an initial step, the consortium plans to undertake a genome-wide association analysis of CVT using the Illumina Infinium HumanCoreExome BeadChip to assess the association and impact of common and low-frequency genetic variants on CVT risk by using a case–control study design. Replication will be performed to confirm putative findings. Furthermore, we aim to identify interactions of genetic variants with several environmental and comorbidity factors which will likely contribute to improve the understanding of the biological mechanisms underlying this complex disease.
Ethics and dissemination BEAST meets all ethical standards set by local institutional review boards for each of the participating sites. The research outcomes will be published in international peer-reviewed open-access journals with high impact and visibility. The results will be presented at national and international meetings to highlight the contributions into improving the understanding of the mechanisms underlying this uncommon but important disease. This international DNA repository will become an important resource for investigators in the field of haematological and vascular disorders.
- cerebral venous thrombosis
- ischemic stroke
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Strengths and limitations of this study
This study is the largest collaboration on cerebral venous thrombosis (CVT) conducted to-date and has the advantage that it includes highly phenotyped individuals.
This is the first study that aims to perform a genome-wide association analysis to assess the association and impact of common and low-frequency genetic variants on CVT risk.
Identifying genetic variants associated with CVT risk will likely contribute to improving our understanding of the biological mechanisms underlying this disease and may lead to the discovery of novel therapeutic targets.
A potential limitation of the study is the difficulty of recruiting a large number of cases due to the very low incidence and prevalence of this condition. Major efforts are being made to include as many research centres able to investigate this disease across Europe and beyond.
Cerebral venous thrombosis (CVT) is a rare cerebrovascular condition that accounts for <1% of all strokes,1 with an overall annual incidence estimated at 1.32 per 100 000 person-years.2 CVT commonly affects young adults and is more prevalent in women, accounting for ∼75% of the adult affected patients.3 It can lead to mortality or severe morbidity but generally has a good clinical outcome particularly following early identification of less severe cases using advanced imaging.4
The condition has two broadly different aetiological mechanisms: thrombosis of cerebral veins with local effects caused by venous obstruction and thrombosis of the dural sinuses which may cause intracranial hypertension.
However, both processes usually occur simultaneously in most patients with thrombosis often present in more than one sinus.1 ,5 ,6 Compared with arterial thrombosis, CVT is less frequent in terms of incidence and more variable in its clinical presentation and neuroimaging.7
The condition has multiple risk factors (box 1) and presents as a diagnostic and therapeutic challenge given the diversity of symptomatic presentation and variety of putative aetiological factors.
Genetic prothrombotic conditions
Protein C and S deficiency
Factor V Leiden mutation
Prothrombin G20120A mutation
Hyperhomocysteinaemia caused by MTHFR C677 T polymorphism
Acquired prothrombotic states
Systemic inflammatory disease
Systemic lupus erythematosus
Inflammatory bowel disease
Systemic infectious disease
Bacterial: septicaemia, endocarditis, typhoid, tuberculosis
Viral: measles, hepatitis, encephalitis, herpes, HIV, cytomegalovirus
Parasitic: malaria, trichinosis
Head and neck infections
Extradural: mastoiditis, sinusitis, otitis, facial cellulitis, osteomyelitis, tonsillitis
Intradural/parenchymal: abscess, empyema, meningitis
Polycythaemia (primary and secondary)
Anaemia (including paroxysmal nocturnal haemoglobinuria)
Sickle cell disease
Hormone supplement therapy
Central nervous system tumours
Meningioma, metastases, carcinomatous infiltration
Ulcerative colitis, Crohn's disease
Congenital heart disease, cardiac insufficiency
Mechanical causes and trauma
Head injury, injury to sinuses or jugular vein, neurosurgical procedures, jugular vein catheterisation, lumbar puncture
Cerebral infarcts and haemorrhage
Dural arteriovenous malformation
Internal jugular compression
Severe exfoliative dermatitis
Severe dehydration of any cause
CVT is a rare manifestation of venous thromboembolism (VTE). Compared with CVT, traditional venous thrombosis manifestations such as deep vein thrombosis (DVT) and pulmonary embolism (PE) are much more common and are diseases of ageing.8
There is a lack of data evaluating the risk of CVT recurrence, as well as whether the risk factors for CVT are similar to those for DVT and PE. One recent study has found that after a 10-year follow-up on patients with DVT and PE only 5.2% developed CVT,9 while for patients with CVT only 5.8% developed DVT/PE later on.10 Therefore, no significant link between CVT and DVT/PE has been found so far.
Interestingly, one study has found no differences in thrombophilia markers between CVT and patients with DVT/PE; however, the frequency of other risk factors, such as oral contraceptive (OC) use, pregnancy or puerperium was significantly different.11 CVT showed to be more frequent in women, secondary to hormonal factors and less often secondary to trauma, immobilisation or surgery compared with patients with DVT/PE.11
Therefore, it is not clear why CVT occurs less often than DVT/PE, and age-dependent differences in the risk profile between CVT and DVT/PE, as well as genetic factors may play a role in the pathogenesis. Thus, due to its rarity and risk profile, CVT represents a particular form of VTE.
Neither the genetic component of CVT nor its heritability has been widely assessed mainly because of its low incidence and lack of large number of cases. However, there is reasonable evidence to support a genetic predisposition to CVT.
A significant proportion of cases (∼13–25%) have no risk factors identified1 ,7 suggesting that undetermined genetic factors may at least partly account for this unexplained risk. Although it is a more rare condition, it does not usually cluster in families and there is no evidence to suggest a Mendelian inheritance.
The genetic component of CVT has so far been assessed mainly by candidate gene studies. As CVT is known to be associated with inherited thrombophilia,1 most candidate gene studies have assessed mutations associated with this condition such as factor V Leiden and prothrombin G20120A mutation.12 Other mutations investigated by candidate gene studies have included the MTHFR C677T polymorphism (risk factor for hyperhomocysteinaemia),13 the plasminogen activator inhibitor-1 4G/5G polymorphism (risk factor for thrombosis),14 protein Z G79A polymorphism (involved in formation of blood clots)15 and Janus Kinase-2 V617F mutation (involved in making haematopoietic cells more sensitive to growth factors).16 However, the results from such individual candidate gene studies have been conflicting mainly because of lack of sufficient power due to the low number of cases. One large meta-analysis on 1183 CVT cases and 5189 controls that pooled together results from 26 candidate gene studies highlighted significant associations of factor V Leiden G1691A mutation (OR=2.40; 95% CI 1.75 to 3.30; p<10−5) and prothrombin G20120A mutation (OR=5.48; 95% CI 3.88 to 7.74; p<10−5) in adult populations.17 Interestingly, this study also found that genes involved in the clotting cascade provide a greater level of thrombosis risk in the cerebral venous circulation compared with its arterial circulation implying a larger genetic liability for CVT compared with sporadic ischaemic stroke (IS).17 Moreover, previous studies suggested a stronger genetic component in younger patients who had stroke compared with older case of stroke providing additional evidence to support a strong genetic susceptibility to CVT.18–20
Other thrombophilic factors involved in the coagulation pathway that are associated with an increased risk of CVT are: protein C, protein S and antithrombin deficiencies.21 These prothrombotic factors are also associated with an increased risk of DVT and PE22 ,23 suggesting that all these venous thrombosis conditions may have a common genetic component.
An important characteristic of the disease is the higher prevalence in women. Large epidemiological studies have confirmed that OC users, particularly users of third-generation OCs, are at increased risk of VTE.24–26 Although contraceptive drugs are an important factor in explaining this gender distribution, genetic factors interacting with pharmacological or environmental determinants may also play a significant role. In addition, very little is known about why the rate of CVT is relatively low given widespread environmental exposures on a population level (eg, OCs, sinus infections, etc), suggesting that an underlying background genetic risk may contribute to increasing the incidence of CVT in those with common exposures.
To better understand the genetic basis of CVT, we have established an international biorepository of highly characterised CVT cases, Biorepository to Establish the Aetiology of Sinovenous Thrombosis (BEAST). The BEAST Consortium includes CVT cases recruited currently from 10 centres across seven countries in Europe, and one each from the USA and Mexico.
Our study aims first to assess the association and impact of common and low-frequency genetic variants on CVT risk by using a case–control study design and second, to identify interactions of genetic variants with several environmental and comorbidity factors which collectively will likely contribute to a better understanding of the biological mechanisms underlying this complex disease.
The ongoing international BEAST Consortium has to-date recruited DNA and clinical data from 745 patients with CVT (aged ≥18 years) from 12 research centres located in the following countries: Belgium, Finland, Greece, Italy, the Netherlands, Portugal, UK, USA and Mexico.
In all cases, CVT is confirmed by CT or MRI of the brain and dedicated venography (CT angiography, MR angiography, or conventional angiogram). The inclusion criteria for cases are presented in table 1. Detailed phenotypic data is provided by each participating centre (box 2).
Phenotypic data provided by each participating centre
Demographic data (age, sex, ethnicity).
Date of cerebral venous thrombosis diagnosis.
Clinical presentation and symptoms.
Neuroimaging information including sinus/vein involved and extent of oedema, haemorrhage.
Family history of thrombotic or cerebrovascular event.
Thrombophilia screening information:
Protein C and S deficiencies,
Genetic polymorphisms (factor V G1691A mutation, prothrombin G20210A mutation),
Risk factors and associated conditions:
Other venous thrombosis,
Transient risk factors,
Systemic or brain infections,
Systemic inflammatory disease,
Drugs (oral contraceptives, L-asparaginase therapy, hormone replacement therapy),
Mechanical causes and trauma (head injury, surgery, etc),
Severe dehydration of any cause.
Modified Rankin scale at last follow-up.
Owing to differences in the genetic structure between the different populations participating in the study,27 cases will be split for genetic association analysis into four groups: West European, South European (Italian and Portuguese), Finnish and Mexican cases, to obtain homogeneous populations. The US population is all European origin (non-Hispanic white). The results will be presented per ancestral population and then subjected to a pooled meta-analysis of all populations.
The inclusion criteria for the control population are presented in table 1.
For the West European CVT cohort, the BEAST study will use data from previously genotyped control samples, namely 2469 British controls from the 1958 British Birth Cohort part of the Wellcome Trust Case Control Consortium (WTCCC).28 ,29
In addition, we have recruited healthy age-matched and sex-matched controls numbering 300 Italians for the South European cohort, 230 Finnish for the Finnish cohort and 100 Mexicans for the Mexican cohort.
BEAST meets all ethical standards set by local institutional review boards for each of the participating sites. Written informed consent is obtained for all patients with CVT and controls at each participating research centre. Patient confidentiality is protected and patient details are encrypted.
Peripheral blood samples from all participants are collected in EDTA-coated phials or sodium citrate vacutainers using venipuncture. Genomic DNA is extracted from peripheral blood using commercially available DNA isolation kits and stored at −80°C.
DNA samples for all CVT cases will be processed on the HumanCoreExome BeadChip v1.0 (Illumina, San Diego, California, USA) using standard protocols at the Genetic and Molecular Epidemiology Laboratory, McMaster University, Canada.
The Illumina Infinium HumanCoreExome BeadChip contains ∼240 000 exome focused markers, as well as ∼240 000 common tagSNP markers. The functional exonic markers include non-synonymous variants, stop altering variants, splice coding variants and variants located in promoter regions.
The WTCCC British control sample was genotyped using the HumanExome BeadChip v1.0 (Illumina, San Diego, California, USA). The Illumina HumanExome Beadchip includes 247 870 markers focused on protein-altering variants selected from >12 000 exome and genome sequences representing multiple ethnicities and complex traits.
The Finnish controls have already been genotyped using the Illumina Infinium HumanCoreExome BeadChip, while other control samples (Italian and Mexican) will be genotyped with the same array.
We will perform case–control analysis using logistic regression assuming an additive genetic model to assess the association of the genotyped markers with CVT risk. Rigorous quality control procedures will be applied according to the recommended exome chip processing protocol.30
Population stratification analysis and testing for relatedness will be conducted, and outliers will be removed from analysis. To investigate residual population stratification, genomic inflation factors will be calculated. Quantile-Quantile plots will be constructed to assess the quality of the association results. Meta-analysis of the association results for the participating cohorts will be performed using a fixed effect model and inverse variance method of weighted β coefficients and SEs from each study. Furthermore, the putative positive findings will be confirmed by replication in independent samples to exclude spurious associations. We are currently collaborating with additional centres to recruit a replication sample.
We will conduct a reciprocal look up in genome-wide association studies (GWAS) of other venous thrombosis conditions (DVT/PE) and potentially pooling of analyses from these studies if available.
We will undertake a subgroup analysis of CVT cases with and without history of other venous thrombosis conditions (DVT/PE). We will also undertake a subgroup analysis of CVT cases with and without inherited thrombophilia.
We will assess the interactions of significant polymorphisms with environmental and comorbidity risk factors, severity of clinical presentation and outcome.
The power for gene-environment interactions depends on the magnitude of the environmental exposure frequency. Therefore, the power is higher if the exposure frequency is low and is lower if the exposure is high.31
We will perform sex stratified analysis, adjusting for age, and conduct several comparisons (eg, between OC users and female non-users, cases with factor V Leiden mutation and cases without the mutation), to highlight the influence of genetic factors between different patient groups. We will also stratify the data by IS status (cases with IS vs cases without IS).
Sample size and power
Power calculations were performed using the genetic power calculator CaTS.32 With the current BEAST repository of 745 CVT cases and a total of ∼3000 controls, the study has 80% power to detect a relative risk of 1.6 at a significant p value <10−7 with a population allele frequency of 30%. However, the likely genetic liability of this condition17 suggests that this power calculation may be conservative.
The BEAST Consortium is the largest DNA repository of highly characterised CVT cases established to-date. The study aims to improve our understanding of the genetics of CVT by first investigating the influence of common and low-frequency genetic variants on CVT risk and, second, by identifying interactions of genetic variants with environmental and comorbidity risk factors. Comprehensive investigation into the genetics of CVT holds the potential to allow at-risk groups to be identified, as well as disease severity and prognosis to be determined.
In the past several years, the genome-wide association (GWA) approach facilitated by technological developments of high-density genome-wide genotyping arrays has been applied for many complex diseases and has been successful in identifying thousands of novel common genetic variants associated with disease risk.33 However, for IS GWA has not been as successful with few genetic variants identified34–39 likely due to the paucity of power in detecting common genetic variants with small effects which require very large cohorts.40 Another likely reason for the limited positive results is the clinical heterogeneity of IS which is known to be influenced by a heterogeneous collection of disease pathways. Considering that CVT is a rare form of stroke affecting a much younger population and a more clinically homogenous form of stroke, we hypothesise that it is likely to be influenced by rare genetic variants with potentially larger effects compared with sporadic stroke.
The use of the Illumina Infinium HumanCoreExome BeadChip, which includes a significant number of exonic markers, will increase the probability of identifying functional genetic markers with potential large effects. The exome contains a large amount of rare protein-altering variants (missense, nonsense single-base substitutions, insertion–deletions) that are predicted to have functional roles and/or to be deleterious41 ,42 which probably account for a considerable amount of the disease-causing mutations.43 Thus, although the initial sample size of our CVT cohort is small due to the low prevalence/incidence of this disease, this highly phenotyped clinical and DNA repository of CVT cases has the potential of identifying novel coding functional variants associated with CVT with potential large effects. Increasing the sample size with more CVT cases and replicating any initial findings is clearly necessary and is being directly addressed by the BEAST Consortium.
Currently, the main limitation of our study is the insufficient power to detect genetic variants with small effects using the genome-wide approach due to the sample size of our study but continuous efforts are being made to enhance enrolment. An important advantage of our study is the thorough phenotyping using stringent inclusion and exclusion criteria and collection of large amount of clinical variables enabling not just genetic analysis but also allowing differences of associated risk factors or outcomes to be evaluated.
Establishing a large DNA repository of CVT cases worldwide will help elucidate its genetics leading to an improvement in our understanding of the pathophysiological mechanisms underlying this disease, identifying groups at risk and potentially facilitating the identification of novel therapeutic targets.
IC and TM contributed equally to this work
Contributors IC was involved in study design, recruitment, contributed to developing the final protocol and drafted the manuscript. TM was involved in study design, recruitment, contributed to developing the final protocol and revising the manuscript. MSK, TP, AH and RD were involved in laboratory analysis and management of samples. SH, EH, TMM, JP, SMZ, MCB, SMP, PB, EP, PC, MC, PC, AT, RS, GF and DC were involved in recruitment and laboratory analysis. MM, EG, MZ, KS, AA, SD, GP, JMF, VT, AP, JJM, IM, JMC and TT are senior investigators who contributed with recruitment and sample collection. PS conceived the idea and is the principal investigator of BEAST who developed the final protocol and drafted the manuscript. All authors contributed intellectually to the protocol and draft versions of the manuscript and approved the final manuscript.
Funding BEAST has received financial support from the Dowager Countess Eleanor Peel Trust and from the Stroke Association.
Competing interests None declared.
Patient consent Obtained.
Ethics approval UK Research Ethics Committee.
Provenance and peer review Not commissioned; externally peer reviewed.
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