Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

NOTCH3 Variants and Risk of Ischemic Stroke

  • Owen A. Ross ,

    ross.owen@mayo.edu

    Affiliation Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, United States of America

  • Alexandra I. Soto-Ortolaza,

    Affiliation Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, United States of America

  • Michael G. Heckman,

    Affiliation Section of Biostatistics, Mayo Clinic, Jacksonville, Florida, United States of America

  • Christophe Verbeeck,

    Affiliation Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, United States of America

  • Daniel J. Serie,

    Affiliation Section of Biostatistics, Mayo Clinic, Jacksonville, Florida, United States of America

  • Sruti Rayaprolu,

    Affiliation Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, United States of America

  • Stephen S. Rich,

    Affiliation Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America

  • Michael A. Nalls,

    Affiliation Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America

  • Andrew Singleton,

    Affiliation Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America

  • Rita Guerreiro,

    Affiliations Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America, Department of Molecular Neuroscience and Reta Lilla Weston Laboratories, Institute of Neurology, London, United Kingdom, Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal

  • Emma Kinsella,

    Affiliations Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America, Cardiff University School of Medicine, Cardiff, United Kingdom

  • Zbigniew K. Wszolek,

    Affiliation Department of Neurology, Mayo Clinic College of Medicine, Jacksonville, Florida, United States of America

  • Thomas G. Brott,

    Affiliation Department of Neurology, Mayo Clinic College of Medicine, Jacksonville, Florida, United States of America

  • Robert D. Brown Jr.,

    Affiliation Department of Neurology, Mayo Clinic, Rochester, Minnesota, United States of America

  • Bradford B. Worrall,

    Affiliation Department of Neurology, University of Virginia, Charlottesville, Virginia, United States of America

  •  [ ... ],
  • James F. Meschia

    Affiliation Department of Neurology, Mayo Clinic College of Medicine, Jacksonville, Florida, United States of America

  • [ view all ]
  • [ view less ]

Abstract

Background

Mutations within the NOTCH3 gene cause cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). CADASIL mutations appear to be restricted to the first twenty-four exons, resulting in the gain or loss of a cysteine amino acid. The role of other exonic NOTCH3 variation not involving cysteine residues and mutations in exons 25-33 in ischemic stroke remains unresolved.

Methods

All 33 exons of NOTCH3 were sequenced in 269 Caucasian probands from the Siblings With Ischemic Stroke Study (SWISS), a 70-center North American affected sibling pair study and 95 healthy Caucasian control subjects. Variants identified by sequencing in the SWISS probands were then tested for association with ischemic stroke using US Caucasian controls collected at the Mayo Clinic (n=654), and further assessed in a Caucasian (n=802) and African American (n=298) patient-control series collected through the Ischemic Stroke Genetics Study (ISGS).

Results

Sequencing of the 269 SWISS probands identified one (0.4%) with small vessel type stroke carrying a known CADASIL mutation (p.R558C; Exon 11). Of the 19 common NOTCH3 variants identified, the only variant significantly associated with ischemic stroke after multiple testing adjustment was p.R1560P (rs78501403; Exon 25) in the combined SWISS and ISGS Caucasian series (Odds Ratio [OR] 0.50, P=0.0022) where presence of the minor allele was protective against ischemic stroke. Although only significant prior to adjustment for multiple testing, p.T101T (rs3815188; Exon 3) was associated with an increased risk of small-vessel stroke (OR: 1.56, P=0.008) and p.P380P (rs61749020; Exon 7) was associated with decreased risk of large-vessel stroke (OR: 0.35, P=0.047) in Caucasians. No significant associations were observed in the small African American series.

Conclusion

Cysteine-affecting NOTCH3 mutations are rare in patients with typical ischemic stroke, however our observation that common NOTCH3 variants may be associated with risk of ischemic stroke warrants further study.

Introduction

One of the most successful approaches to the mapping of disease-related genes has been the identification of rare inherited forms. The classical linkage method employing large familial aggregates that display Mendelian patterns of stroke inheritance (dominant/recessive) has identified genes involved in monogenic forms of disease [1,2]. Cerebral autosomal-dominant arteriopathy with subcortical infarctions and leukoencephalopathy (CADASIL; OMIM #125310), is a rare form of small-vessel occlusive disease. In 1996, Joutel and colleagues reported the identification of the first genetic locus for stroke, with pathogenic mutations in the NOTCH3 gene [OMIM*600276] observed to cause CADASIL [3].

Over 50 NOTCH3 mutations have been recorded, and to date there does not appear to be a consistent genotype-phenotype correlation with CADASIL [4]. The clinical phenotype of CADASIL usually presents with ischemic stroke or transient ischemic attack, cognitive deficits, migraine with aura, or psychiatric disturbance. Ischemic stroke is by far the most common manifestation, occurring in up to 85% of patients [5]. The disease course of CADASIL is variable, even in the same family [6]. The age-at-onset can range from 30-94 years, with early-onset forms not necessarily predicting a more severe symptomatic progression, and disease duration range between 3 to 43 years [7]. There is no specific treatment for CADASIL with most therapies focused on symptomatic control, the mean age-at-death is estimated to be about 60 years [5]. Interestingly, a NOTCH3 mutation was identified in an octogenarian sporadic patient with a minor stroke demonstrating the potential role of NOTCH3 mutations with less severe presentation [8,9]. Recently a novel mutation was reported p.L1515P, which is hypothesized to hyperactivate the NOTCH3 receptor, suggesting alternative mechanisms of pathogenicity [10]. However the actual pathomechanism behind NOTCH3 mutations that are characteristic of CADASIL and ischemic stroke remains unclear. NOTCH3 signaling has also been implicated in ischemic stroke and studies suggest that the NOTCH3 protein is a determinant of stroke burden via vascular smooth muscle cells [11].

Given the reduced penetrance and clinical heterogeneity, we hypothesized that NOTCH3 variants may play a greater role in ischemic stroke than previously thought. Herein, we present a complete exon screening of NOTCH3 in 269 Caucasian probands with familial ischemic stroke and follow-up the identified variants in an association approach with a Caucasian and African-American patient-control series.

Subjects and Methods

We utilized two different ischemic stroke patient-control series to investigate the role of NOTCH3 variation in ischemic stroke; patient characteristics for each series are displayed in Table 1. For comprehensive sequence analysis, we employed a series of 269 Caucasian US familial stroke patients collected through the Siblings With Ischemic Stroke Study (SWISS). In brief, adult (>18 years old) probands were recruited at 70 US and Canadian medical centers with a study neurologist–confirmed ischemic stroke. Stroke was defined as rapidly developing signs of a focal or global disturbance of cerebral function, with symptoms lasting at least 24 hours or leading to death, with no apparent cause other than vascular origin (World Health Organization definition) [12]. Stroke was referred to as ischemic when computed tomography or magnetic resonance imaging of the brain was performed within 7 days of onset of stroke symptoms and identified the symptomatic cerebral infarct or failed to identify an alternative cause of symptoms. Probands were required to have reported at least 1 living full sibling with a history of stroke. No proband was enrolled with iatrogenic vasospastic or vasculitic stroke or if the stroke occurred in the setting of a mechanical heart valve or in the setting of untreated or actively treated bacterial endocarditis. Probands were also excluded if they were known to have CADASIL, Fabry disease, homocysteinuria, MELAS, or sickle-cell anemia. Study neurologists at each center assigned to the qualifying ischemic stroke of each proband a Trial of Org 10172 in Acute Stroke Treatment (TOAST) subtype diagnosis [13]. In addition, 95 healthy controls were obtained from Coriell Cell Repositories (Camden, NJ) for sequencing. These samples originated from different regions of the world (USA, Israel, Uruguay, Poland, Greece, Ireland, Australia, United Kingdom, Germany, Wales, Netherlands, Canada, Colombia and Cuba) noted to have an absence of neurological conditions by sample submitters [14]. This cohort of 95 healthy controls had a mean age of 78 years (range 70 to 95 years) and included 46 females and 49 males.

Familial Caucasian series ISGS Caucasian series ISGS African American series
VariableSWISS patients (N=269)Controls (N=654)Stroke patients (N=452)Controls (N=350)Stroke patients (N=167)ISGS Controls (N=131)
Age75 ± (36-99)72 ± (23-96)74 ± (31-103)70 ± (30-100)64 ± (28-101)62 ± (30-98)
Gender (Male)142 (55%)268 (41%)266 (59%)176 (50%)82 (49%)57 (44%)
Age at stroke67 ± (27-92)N/A66 ± (22-94)N/A56 ± (19-92)N/A
Atrial fibrillation29 (11%)N/A33 (7%)8 (2%)8 (5%)0 (0%)
Coronary artery disease37 (14%)N/A123 (27%)38 (11%)18 (11%)7 (5%)
Diabetes59 (23%)N/A105 (23%)38 (11%)51 (31%)30 (23%)
Hypertension181 (70%)N/A294 (65%)129 (37%)134 (80%)58 (44%)
Current smoking45 (17%)N/A100 (22%)30 (9%)62 (37%)21 (16%)
Type of stroke
Cardioembolic32 (12%)N/A125 (28%)N/A29 (17%)N/A
Large vessel63 (24%)N/A90 (20%)N/A28 (17%)N/A
Small vessel80 (31%)N/A60 (13%)N/A46 (28%)N/A
Other15 (6%)N/A25 (6%)N/A2 (1%)N/A
Undetermined68 (26%)N/A152 (34%)N/A62 (37%)N/A

Table 1. Patient characteristics for each series.

The sample mean ± SD (minimum – maximum) is given for age and age at stroke. Information in the Familial Caucasian series was unavailable in stroke patients regarding atrial fibrillation (N=3), coronary artery disease (N=1), current smoking (N=2), and type of stroke (N=1), in all controls regarding atrial fibrillation, coronary artery disease, diabetes, hypertension, and current smoking, and in controls regarding age (N=2). In the ISGS Caucasian series, information was unavailable regarding atrial fibrillation (N=3), coronary artery disease (N=1), and hypertension (N=1). In the ISGS African American series, information was unavailable regarding atrial fibrillation (N=4), coronary artery disease (N=1). and hypertension (N=2). ISGS=Ischemic Stroke Genetics Study. SWISS=Siblings With Ischemic Stroke Study
CSV
Download CSV

For association and follow-up of variants, we supplemented the aforementioned 269 Caucasian familial stroke patients with a series of 654 Caucasian controls collected at the Mayo Clinic in Jacksonville, Florida, and we refer to this patient-control series as the familial Caucasian series. Additionally, we used a sporadic Caucasian patient-control series collected through the Ischemic Stroke Genetics Study (ISGS) which consisted of 452 stroke patients and 350 controls. Finally a small African American patient-control series collected as part of ISGS was studied, and this series was made of up 164 stroke patients and 131 controls. Subjects had age, gender, age at stroke, and type of stroke (cardioembolic, large vessel, small vessel, other, or undetermined) data collected. Additionally, information regarding atrial fibrillation, coronary artery disease, diabetes, hypertension, and current smoking was also collected in the two ISGS patient-control series’. We combined the familial Caucasian series and ISGS Caucasian series into a “combined Caucasian series” to be analyzed along with the individual series’.

Ethics Statement

The ethics committee and the institutional review board of the Mayo Clinic approved the study, and all participants provided written informed consent.

Genetic analysis

For all 33 NOTCH3 exons, bidirectional DNA sequencing was performed on an ABI 3730 DNA sequencer and analyzed using SeqScape v2.5 (Applied Biosystems). The variants were genotyped on a Sequenom MassArray iPLEX platform (San Diego, CA; primer sequences are available on request) and analyzed with Typer 4.0 software, an ABI on-demand Taqman assay (analyzed with SDS 2.2.2 software) or by direct exon sequencing on an ABI 3730. Assay Design software was used to multiplex the 34 variants identified during sequencing which were split into two iPLEX panels (primers available upon request). The rate of genotype calls was ≥95% in each series. Linkage disequilibrium (LD) measures were calculated and plotted using Haploview (Figure S1) [15].

Statistical analysis

For NOTCH3 variants occurring with a minor allele frequency of 1% or greater, associations with ischemic stroke were evaluated using logistic regression models, separately for the familial Caucasian series, ISGS Caucasian series, combined Caucasian series, and ISGS African American series. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated. Models involving the familial Caucasian series and combined Caucasian series were adjusted for age and gender, with adjustment also made for series in the combined Caucasian series. Models for the ISGS Caucasian and African American series’ were adjusted for age, gender, CAD, diabetes, hypertension, current smoking, and atrial fibrillation (ISGS Caucasian series only). As no ISGS African American controls had atrial fibrillation, this characteristic was not adjusted for in that series.

Associations of NOTCH3 variants with ischemic stroke subtypes (cardioembolic stroke, large vessel stroke, small vessel stroke) were also evaluated in all individual series’ except the ISGS African American series due to its small sample size. In the primary analysis we utilized additive models (effect of each additional minor allele), though in secondary analysis we also examined dominant models (presence vs. absence of the minor allele). For NOTCH3 variants with a minor allele frequency of less than 1%, we estimated the proportion of carriers in each series, separately for ischemic stroke patients and controls. We employed a single-step minP permutation correction in order to account for the number of statistical tests that were performed in our logistic regression analysis [16], separately for each series and separately for each ischemic stroke outcome (overall, cardioembolic, large-vessel, small-vessel). Following this multiple testing adjustment, p-values ≤0.0056 (familial Caucasian series), ≤0.0067 (ISGS Caucasian series), ≤0.0048 (combined Caucasian series), and ≤0.0061 (ISGS African American series) were considered as statistically significant. All statistical analyses were performed using R Statistical Software (version 2.14.0; R Foundation for Statistical Computing, Vienna, Austria).

Results

We identified 39 variants in our comprehensive sequencing of the NOTCH3 gene in the 269 familial ischemic stroke probands and 95 control subjects (Table 2). When examining the frequency of these variants utilizing both the familial Caucasian patient-control series and the ISGS Caucasian and African American patient-control series’, 26 variants were observed with a minor allele frequency of less than 1% in any of the individual series’; frequencies of these rare variants are detailed in Table 3 separately for stroke patients and controls in each series. Of note, in our stroke probands, we identified one novel variant in exon 4, which results in a histidine-to-arginine substitution p.H170R that is adjacent to known CADASIL mutants (p.R169C and p.G171C). This occurred in a 75-year-old Caucasian female with a TOAST subtype of ‘other determined etiology’. However when screened in controls this variant was observed at an equivalent frequency as in stroke patients in the combined Caucasian series (0.7% and 0.4% carriers, Table 3); p.H170R was not observed in the ISGS African American series.

Position1ExonGenotypeSNPAmino Acid
153032253C>T rs3815188T101T
153029414A>Grs147373451H170R
153028444G>Ars1043994A202A
153027924C>Trs114457076Y220Y
153023286C>Trs116239440I315I
153001367T>Crs61749020P380P
152990519C>Trs11670799P496L
152990509C>Trs114207045S497L
1529880610C>Trs142762020G498G
1529880010C>Trs146055867S500S
1529808411C>Trs75068032R558C
1529803411G>Ars79926127T575T
1529797411C>Trs35793356G594G
1529616414C>Trs140040122A734A
1529513416T>Crs1043996C846C
1529243717G>Ars1043997P914P
1529182518C>Trs143695196H981Y
1529157619G>Crs35769976A1020P
1529155319G>Trs146829488W1028L
1529026521C>Trs140642726D1124D
1529023821C>Ars112197217H1133Q
1529000722G>Ars10408676V1183M
1528869524C>Ars78926093G1348G
1528505225G>Ars1044006P1521P
1528497825C>Grs150037063L1547V
1528493825G>Crs78501403R1560P
1528158026A>Trs201167365D1598V
1528134427A>Grs149222385E1638E
1528096928G>Ars143411026G1710D
1527673930T>Crs16980398A1842A
1527333732G>Ars115582213V1952M
1527241033G>Ars142007575V2011I
1527234333C>Trs145859816P2033L
1527221833C>Trs114447350P2074L
1527219933G>Trs141231747G2081V
1527200133G>Ars1044008A2146A
1527177133T>Crs1044009A2223V
1527168433G>Ars61731975S2251S
1527162833T>Crs61731974P2271P

Table 2. NOTCH3 variants identified by Sequencing in SWISS probands and controls.

1 Chromosomal positions are based on the February 2009 (GRCH37/hg19) genome assembly. SNP=single nucleotide polymorphism. Only observed in sequencing of 95 control subjects and not in subsequent screenings. na=not available.
CSV
Download CSV
Familial SWISS Caucasian series (269 patients, 654 controls)ISGS Caucasian series (452 patients, 350 controls)Combined Caucasian series (721 patients, 1004 controls)ISGS African American series (167 patients, 131 controls)
No. (%) of carriersNo. (%) of carriersNo. (%) of carriersNo. (%) of carriers
SNPAmino AcidMAMAFPatientsControlsMAFPatientsControlsMAFPatientsControlsMAFPatientsControls
rs147373451H170RC0.4%1 (0.4%)6 (0.9%)0.2%2 (0.5%)1 (0.3%)0.3%3 (0.4%)7 (0.7%)0.0%0 (0%)0 (0%)
rs114457076Y220YA0.2%2 (0.8%)2 (0.3%)<0.1%1 (0.2%)0 (0.0%)0.2%3 (0.4%)2 (0.2%)0.0%0 (0%)0 (0%)
rs116239440I315IA0.2%2 (0.8%)1 (0.2%)0.1%2 (0.5%)0 (0.0%)0.2%4 (0.6%)1 (0.1%)0.0%0 (0%)0 (0%)
rs11670799P496LT+++++++++0.2%0 (0.0%)1 (1.0%)
rs114207045S497LA0.4%3 (1.1%)5 (0.8%)0.4%4 (0.9%)3 (0.9%)0.4%7 (1.0%)8 (0.8%)0.9%2 (1.2%)3 (2.29%)
rs142762020G498GA<0.1%1 (0.4%)0 (0.0%)0.0%0 (0.0%)0 (0.0%)<0.1%1 (0.1%)0 (0.0%)0.0%0 (0%)0 (0%)
rs146055867S500SA0.2%1 (0.4%)3 (0.5%)0.1%2 (0.5%)0 (0.0%)0.2%3 (0.4%)3 (0.3%)0.0%0 (0%)0 (0%)
rs75068032R558CT<0.1%1 (0.4%)0 (0.0%)0.0%0 (0.0%)0 (0.0%)<0.1%1 (0.1%)0 (0.0%)0.0%0 (0%)0 (0%)
rs79926127T575TA0.8%6 (2.2%)9 (1.4%)0.5%7 (1.6%)1 (0.3%)0.7%13 (1.8%)10 (1.1%)0.6%0 (0.0%)3 (2.8%)
rs35793356G594GA0.2%2 (0.7%)2 (0.3%)<0.1%1 (0.2%)0 (0.0%)0.2%3 (0.4%)2 (0.2%)+++
rs140040122A734AA0.2%1 (0.4%)3 (0.5%)0.1%1 (0.2%)1 (0.3%)0.2%2 (0.3%)4 (0.4%)0.0%0 (0%)0 (0%)
rs146829488W1028LA<0.1%1 (0.4%)0 (0.0%)0.0%0 (0.0%)0 (0.0%)<0.1%1 (0.1%)0 (0.0%)0.0%0 (0%)0 (0%)
rs140642726D1124DA<0.1%1 (0.4%)0 (0.0%)0.0%0 (0.0%)0 (0.0%)<0.1%1 (0.1%)0 (0.0%)0.0%0 (0%)0 (0%)
rs112197217H1133QT+++++++++0.2%1 (0.6%)0 (0.0%)
rs10408676V1183MT+++0.5%3 (0.7%)5 (1.4%)++++++
rs150037063L1547VC0.2%1 (0.4%)2 (0.3%)0.2%1 (0.2%)2 (0.6%)0.2%2 (0.3%)4 (0.4%)0.0%0 (0%)0 (0%)
rs149222385E1638EC<0.1%1 (0.4%)0 (0.0%)<0.1%1 (0.2%)0 (0.0%)<0.1%2 (0.3%)0 (0.0%)0.0%0 (0%)0 (0%)
rs143411026G1710DT<0.1%1 (0.4%)0 (0.0%)<0.1%1 (0.2%)0 (0.0%)<0.1%2 (0.3%)0 (0.0%)0.0%0 (0%)0 (0%)
rs16980398A1842AG+++0.7%5 (1.1%)6 (1.7%)++++++
rs115582213V1952MT+++++++>++0.0%0 (0.0%)0 (0.0%)
rs145859816P2033LA<0.1%1 (0.4%)0 (0.0%)0.0%0 (0.0%)0 (0.0%)<0.1%1 (0.1%)0 (0.0%)0.0%0 (0%)0 (0%)
rs114447350P2074LT0.3%2 (0.7%)3 (0.5%)0.2%2 (0.5%)1 (0.4%)0.3%4 (0.6%)4 (0.5%)+++
rs141231747G2081VA<0.1%1 (0.4%)0 (0.0%)0.0%0 (0.0%)0 (0.0%)<0.1%1 (0.1%)0 (0.0%)0.0%0 (0%)0 (0%)
rs1044008A2146AT+++++++++0.5%1 (0.6%)2 (1.5%)
rs61731975S2251SA0.4%3 (1.1%)4 (0.6%)0.2%2 (0.5%)1 (0.3%)0.3%5 (0.7%)5 (0.5%)+++
rs61731974P2271PG0.2%1 (0.4%)3 (0.5%)0.0%0 (0.0%)0 (0.0%)0.1%1 (0.1%)3 (0.3%)+++

Table 3. Summary of variants with a minor allele frequency of less than 1%.

+ indicates that the SNP was observed with a minor allele frequency of 1% or greater in the given series. — indicates that the SNP was not observed in the given series. SNP=single nucleotide polymorphism. MA=minor allele. MAF=minor allele frequency.
CSV
Download CSV

One proband was observed to carry a known CADASIL causing mutation p.R558C (c. 1750 C>T). This patient was a 65-year-old man who presented for emergent medical attention with right arm weakness and mild dysarthria, which was caused by an acute infarct involving the posterior limb of the left internal capusle. The infarct occurred despite being prescribed cardizem, cardura, pravachol and aspirin. He had a history of one prior ischemic stroke 12 years earlier, sleep apnea, hyperlipidemia and hypertension, but not migraine headaches. MRI revealed a focal area of restricted diffusion corresponding to the presenting deficit along with bilateral small chronic infarcts and patchy leukoaraiosis (Figure 1). The affected sibling of the proband was also found to harbor the NOTCH3 p.R558C substitution.

thumbnail
Figure 1. Bilateral small chronic infarcts and patchy and confluent areas of leukoaraiosis seen on fluid attenuated inversion recovery (FLAIR) MRI on patient with NOTCH3 p.R558C mutation.

https://doi.org/10.1371/journal.pone.0075035.g001

A total of 19 variants were observed with a minor allele frequency of 1% or greater in any of the individual series (9 variants had a minor allele frequency ≥1% in all 4 series’); an evaluation of association of these 19 common variants with risk of overall ischemic in each series is shown in Table 4 under an additive model. In the combined Caucasian series, the only common NOTCH3 variant that was significantly associated with ischemic stroke after correction for multiple testing was p.R1560P (rs78501403, OR: 0.50, 95% CI: 0.31-0.79, P=0.0022). This association was strongest in the familial Caucasian patient-control series (OR: 0.23, 95% CI: 0.10-0.55, P<0.001), whereas although a protective effect was observed in the ISGS Caucasian series, this did not approach significance (OR: 0.83, 95% CI: 0.41-1.66, P=0.60). Although not significant, noteworthy trends toward association with ischemic stroke to were observed for p.T101T (rs3815188) in the combined Caucasian series (OR: 1.22, 95% CI: 0.99-1.50, P=0.058), p.P2074L (rs114447350) in the ISGS African American series (OR: 2.29, 95% CI: 0.98-5.34, P=0.056), and p.P2271P (rs61731974) in the ISGS African American series (OR: 2.44, 95% CI: 0.91-6.54, P=0.077). Results of ischemic stroke association analysis were similar under a dominant model (Table S1).

Familial SWISS Caucasian series (269 patients, 654 controls)ISGS Caucasian series (452 patients, 350 controls)Combined Caucasian series (721 patients, 1004 controls)ISGS African American series (167 patients, 131 controls)
SNPAmino Acid  MAMAFOR (95% CI)P-valueMAFOR (95% CI)P-valueMAFOR (95% CI)P-valueMAFOR (95% CI)P-value
rs3815188T101TA16.8%1.40 (1.07, 1.84)0.01513.6%1.03 (0.74, 1.44)0.8615.3%1.22 (0.99, 1.50)0.05827.1%1.05 (0.70, 1.56)0.83
rs1043994A202AT12.7%0.91 (0.67, 1.22)0.5212.4%0.93 (0.67, 1.29)0.6812.6%0.95 (0.77, 1.17)0.629.6%0.84 (0.47, 1.51)0.56
rs61749020P380PG3.4%0.56 (0.29, 1.08)0.0823.2%1.17 (0.62, 2.19)0.633.3%0.85 (0.57, 1.28)0.442.2%1.63 (0.45, 5.91)0.46
rs11670799P496LT1.7%0.32 (0.11, 0.92)0.0351.3%1.70 (0.45, 6.42)0.431.5%0.87 (0.47, 1.62)0.66+++
rs35793356G594GA+++++++++2.7%2.66 (0.70, 10.08)0.15
rs1043996C846CG131.7%1.12 (0.91, 1.39)0.2927.4%1.00 (0.78, 1.28)1.0029.7%1.08 (0.92, 1.26)0.3526.4%1.00 (0.67, 1.50)0.99
rs1043997P914PT15.0%0.86 (0.65, 1.14)0.2913.3%1.00 (0.72, 1.38)0.9914.2%0.94 (0.77, 1.15)0.5636.8%1.06 (0.73, 1.53)0.77
rs35769976A1020PG2.2%0.84 (0.44, 1.62)0.611.0%1.33 (0.46, 3.79)0.601.7%0.88 (0.51, 1.51)0.6428.5%1.12 (0.75, 1.67)0.59
rs112197217H1133QT1.1%1.35 (0.52, 3.48)0.542.1%0.88 (0.43, 1.82)0.741.6%0.99 (0.56, 1.74)0.97+++
rs10408676V1183MT1.6%0.60 (0.25, 1.45)0.26+++1.1%0.59 (0.28, 1.26)0.1723.7%0.90 (0.59, 1.38)0.63
rs1044006P1521PT9.9%0.81 (0.58, 1.15)0.249.5%1.03 (0.71, 1.50)0.879.7%0.97 (0.76, 1.23)0.812.2%0.86 (0.26, 2.79)0.80
rs78501403R1560PG3.7%0.23 (0.10, 0.55)<0.0012.9%0.83 (0.41, 1.66)0.603.3%0.50 (0.31, 0.79)0.00224.4%1.35 (0.54, 3.37)0.52
rs16980398A1842AG2.1%0.76 (0.38, 1.52)0.44+++1.4%0.76 (0.42, 1.38)0.3736.8%1.09 (0.75, 1.59)0.65
rs115582213V1952MT1.3%0.60 (0.22, 1.63)0.321.1%0.96 (0.34, 2.71)0.931.2%0.85 (0.44, 1.65)0.64+++
rs114447350P2074LT+++++++++8.3%2.29 (0.98, 5.34)0.056
rs1044008A2146AT4.6%1.29 (0.81, 2.06)0.284.4%1.03 (0.63, 1.69)0.904.5%1.15 (0.83, 1.60)0.41+++
rs1044009A2223VC23.7%1.22 (0.96, 1.54)0.1021.9%0.97 (0.73, 1.29)0.8422.9%1.16 (0.97, 1.38)0.1145.8%1.05 (0.70, 1.56)0.82
rs61731975S2251SA+++++++++8.7%1.35 (0.68, 2.66)0.39
rs61731974P2271PG++++++3.9%2.44 (0.91, 6.54)0.077

Table 4. Single SNP associations with ischemic stroke under an additive model.

1 The minor allele for rs1043996 was G in the Caucasian series’ and A in the ISGS African American series. + indicates that the SNP was observed with a minor allele frequency of less than 1% or greater in the given series. --- indicates that the SNP was not observed in the given series. ORs and p-values result from logistic regression models adjusted for age and gender (Familial Caucasian series), age, gender, atrial fibrillation, coronary artery disease, diabetes, hypertension, and current smoking (ISGS Caucasian series), age, gender, and series (combined Caucasian series), and age, gender, coronary artery disease, diabetes, hypertension, and current smoking (ISGS African American series). ORs correspond to an additional minor allele. SNP=single nucleotide polymorphism. MA=minor allele. MAF=minor allele frequency. OR=odds ratio. CI=confidence interval. ISGS=Ischemic Stroke Genetics Study.
CSV
Download CSV

Associations of NOTCH3 variants with cardioembolic, large-vessel, and small-vessel ischemic stroke in the combined Caucasian series under an additive model are displayed in Table 5. No variants were significantly associated with these ischemic stroke subtypes after multiple testing adjustment, although non-significant trends toward association were observed for p.T101T, which was associated with increased risk of small-vessel stroke (OR: 1.56, 95% CI: 1.12-2.18, P=0.008), and p.P380P (rs61749020), which was associated with a decreased risk of large-vessel stroke (OR: 0.35, 95% CI: 0.12-0.98, P=0.047). The aforementioned association with ischemic stroke for p.R1560P was relatively consistent in magnitude across ischemic stroke subtypes, though strongest for small-vessel stroke (OR: 0.36, P=0.053), followed by cardioembolic stroke (OR: 0.48, P=0.13) and large-vessel stroke (OR: 0.67, P=0.30). Results were similar under a dominant model (data not shown). Associations of NOTCH3 variants with stroke subtypes in the individual familial Caucasian and ISGS Caucasian series’ are displayed in Tables S2 and S3, while genotype frequencies for each NOTCH3 variant are shown in Tables S4-S7 for each series.

Association with cardioembolic stroke (157 patients, 1004 controls)Association with large vessel stroke (153 patients, 1004 controls)Association with small vessel stroke (140 patients, 1004 controls)
SNPAmino Acid   MA  MAF OR (95% CI)P-valueOR (95% CI)P-valueOR (95% CI)P-value
rs3815188T101TA15.3%0.96 (0.65, 1.43)0.850.96 (0.66, 1.39)0.831.56 (1.12, 2.18)0.0082
rs1043994A202AT12.6%1.28 (0.91, 1.81)0.161.05 (0.74, 1.49)0.780.82 (0.56, 1.20)0.31
rs61749020P380PG3.3%0.60 (0.25, 1.48)0.270.35 (0.12, 0.98)0.0471.16 (0.59, 2.28)0.67
rs11670799P496LT1.5%0.56 (0.12, 2.59)0.460.67 (0.19, 2.29)0.520.87 (0.29, 2.56)0.79
rs1043996C846CG29.7%1.11 (0.84, 1.47)0.481.02 (0.78, 1.34)0.861.15 (0.88, 1.50)0.31
rs1043997P914PT14.2%1.21 (0.86, 1.70)0.281.08 (0.77, 1.51)0.650.79 (0.54, 1.14)0.20
rs35769976A1020PG1.7%0.53 (0.13, 2.23)0.390.61 (0.20, 1.90)0.401.07 (0.47, 2.43)0.87
rs112197217H1133QT1.6%1.07 (0.45, 2.52)0.881.00 (0.38, 2.61)1.001.22 (0.47, 3.17)0.68
rs10408676V1183MT1.1%0.41 (0.06, 3.07)0.390.30 (0.04, 2.17)0.241.02 (0.37, 2.83)0.97
rs1044006P1521PT9.7%1.25 (0.84, 1.86)0.261.09 (0.74, 1.62)0.660.81 (0.52, 1.25)0.34
rs78501403R1560PG3.3%0.48 (0.18, 1.24)0.130.67 (0.31, 1.43)0.300.36 (0.13, 1.01)0.053
rs16980398A1842AG1.4%0.35 (0.05, 2.53)0.300.74 (0.25, 2.19)0.591.22 (0.55, 2.70)0.62
rs115582213V1952MT1.2%1.75 (0.66, 4.65)0.261.21 (0.44, 3.27)0.710.49 (0.11, 2.09)0.33
rs1044008A2146AT4.5%1.11 (0.63, 1.94)0.720.67 (0.33, 1.34)0.251.28 (0.75, 2.17)0.37
rs1044009A2223VC22.9%1.22 (0.90, 1.65)0.211.08 (0.80, 1.45)0.621.25 (0.93, 1.66)0.14

Table 5. Single SNP associations with ischemic stroke subtypes in the combined Caucasian series under an additive model.

ORs and p-values result from logistic regression models adjusted for age, gender, and series. ORs correspond to an additional minor allele. SNP=single nucleotide polymorphism. MA=minor allele. MAF=minor allele frequency. OR=odds ratio. CI=confidence interval.
CSV
Download CSV

Discussion

Rare mutations within the NOTCH3 gene resulting in the gain or loss of a cysteine residue produce the CADASIL phenotype. We set out to examine whether CADASIL-linked mutations can also produce a clinical phenotype that is more reminiscent of typical ischemic stroke. In addition, we examined if other coding variants in NOTCH3, common or rare variation, affect the individual susceptibility to ischemic stroke.

One of the variants identified is a known pathogenic CADASIL substitution (p.R558C) and was identified in a proband with a history of small vessel stroke. In addition to p.R558C substitution, we observed a number of rare variants within the NOTCH3 gene, 15 of which are non-synonymous. When evaluating associations with ischemic stroke for common variants, we observed an association for p.R1560P in the combined Caucasian series that withstood correction for multiple testing, where presence of the minor allele was associated with a lower risk of ischemic stroke with an odds ratio of 0.50. This protective effect for p.R1560P was also observed when considering ischemic stroke subtypes (although not statistically significant in these lower-powered analyses), and was strongest for small-vessel ischemic stroke. Employing the Polyphen (Polymorphism phenotyping) freeware, which predicts the effect of an amino acid substitution, suggests that the p.R1560P may possibly damage the structure and function of the NOTCH3 protein and could support a functional effect by this substitution [17].

A recent study by Schmidt and colleagues examined the presence of NOTCH3 variants in an elderly series and assessed whether they play a role in age-related small vessel disease [18]. They observed a risk association of a number of common variants and the presence of white matter lesions; however the association was only present in hypertensive subjects. Interestingly, although they sequenced almost 300 individuals, they did not observe the p.R1560P variant, suggesting that the p.R1560P variant may display different allele frequencies across populations. In addition the p.R1560P substitution was not observed in >4000 individuals in the exome variant server database. In the current study all carriers were Sanger sequenced to confirm the presence and the publicly available data may suggest that this exon is poorly captured through exome approaches. Indeed, to further investigate we attempted to impute this variant in 11 datasets ranging in size from 900 participants to over 5000 participants. The SNP of interest appeared monomorphic in all imputed datasets except two cohorts where the minor allele frequency in both was less than 0.5%. However, in all imputed datasets, imputation quality (RSQ) was much less than the gold standard cut-off of 0.30, with RSQ metrics ranging from 0 to a high of 0.038. It is known that imputation generally functions less accurately for rarer variants. All imputed datasets were generated using MACH and miniMac and default settings for imputation [http://genome.sph.umich.edu/wiki/Minimac] with the 1000 Genomes Project phase 1 alpha freeze version 3 vcf file (multi-ethnic panel) as the reference for imputation [http://www.1000genomes.org]. Therefore further specific genotyping of this variant may be warranted.

There are several limitations of our study that should be acknowledged. Chief among these is the relatively small sample size. As a result, power to detect associations of NOTCH3 variants with ischemic stroke and ischemic stroke subtypes is low, and the possibility of Type II error (i.e. a false-negative association) is important to acknowledge, especially after correction for multiple testing. This is particularly true in the African American series and in examination of associations of NOTCH3 variants with ischemic stroke subtypes. Related to this, assessment of rare variants is challenging in our relatively small study. Also, though the finding regarding p.R1560P achieved statistical significance after multiple testing adjustment, given the stronger association in the Familial Caucasian series than in the ISGS Caucasian series, it will be important to validate this finding as well as other results of our study involving both common and rare variants in larger series’.

The NOTCH pathway is a fundamental signaling mechanism determining cell fate choices [19]. NOTCH 1-4 are cell surface receptors, which interact with membrane-bound ligands transducing signals between neighboring cells. The NOTCH3 receptor has been reported to promote vascular smooth muscle cell survival. To date the confirmed pathogenic CADASIL mutations are located in the epidermal growth factor (EGF)-like repeat domains at the extracellular N-domain of the receptor. Missense and splice-site mutations and in-frame deletions have been observed in patients. Mutations appear to affect highly conserved cysteine residues. Within each wild-type EGF-like repeat there are six cysteine residues, while in CADASIL mutation patients there is a loss or gain of a cysteine residue. This uneven number of cysteine residues has been hypothesized to effect differential protein interactions and the possible multimerization of mutant NOTCH3.

The association of NOTCH3 p.R1560P suggests that disruption of the normal NOTCH3 receptor function could modulate the risk of ischemic stroke. Additional studies in large patient-control series and other ethnicities are required to fully elucidate the role of NOTCH3 variation in disease and the underlying pathomechanism that results in ischemia.

Supporting Information

Figure S1.

Linkage disequilibrium (LD) plots for common NOTCH3 variants.

https://doi.org/10.1371/journal.pone.0075035.s001

(PPTX)

Table S1.

Single SNP associations with ischemic stroke under a dominant model.

https://doi.org/10.1371/journal.pone.0075035.s002

(DOCX)

Table S2.

Single SNP associations with ischemic stroke subtypes in the familial Caucasian series under an additive model.

https://doi.org/10.1371/journal.pone.0075035.s003

(DOCX)

Table S3.

Single SNP associations with ischemic stroke subtypes in the ISGS Caucasian series under an additive model.

https://doi.org/10.1371/journal.pone.0075035.s004

(DOCX)

Table S4.

Genotype frequencies in the Familial Caucasian series.

https://doi.org/10.1371/journal.pone.0075035.s005

(DOCX)

Table S5.

Genotype frequencies in the ISGS Caucasian series.

https://doi.org/10.1371/journal.pone.0075035.s006

(DOCX)

Table S6.

Genotype frequencies in the combined Caucasian series.

https://doi.org/10.1371/journal.pone.0075035.s007

(DOCX)

Table S7.

Genotype frequencies in the ISGS African American series.

https://doi.org/10.1371/journal.pone.0075035.s008

(DOCX)

Acknowledgments

We would like to thank all those who have contributed to our research, particularly the patients and families who donated DNA samples for this work. Samples from the Human Genetics Resource Center DNA and Cell Line Repository (ccr.coriell.org) were used. For further details on our research in cerebrovascular disease please visit our web-site; http://mayoresearch.mayo.edu/mayo/research/ross_lab/

Author Contributions

Conceived and designed the experiments: OAR AISO MGH RG JFM. Performed the experiments: AISO CV SR EK. Analyzed the data: OAR AISO MGH CV DJS EK MAN. Contributed reagents/materials/analysis tools: OAR SSR MAN AS RG ZKW TGB RDB BBW JFM. Wrote the manuscript: OAR MGH. Drafting the article or revising it critically for important intellectual content: OAR AISO MGH CV DJS SR SSR MAN AS RG EK ZKW TGB RDB BBW JFM. Final approval of the version to be published: OAR AISO MGH CV DJS SR SSR MAN AS RG EK ZKW TGB RDB BBW JFM.

References

  1. 1. Meschia JF, Worrall BB, Rich SS (2011) Genetic susceptibility to ischemic stroke. Nat. Rev Neurol 7: 369-378. doi:https://doi.org/10.1038/nrneurol.2011.80.
  2. 2. Ross OA, Worrall BB, Meschia JF (2007) Advancing stroke therapeutics through genetic understanding. Curr Drug Targets 8: 850-859. doi:https://doi.org/10.2174/138945007781077355. PubMed: 17630939.
  3. 3. Joutel A, Corpechot C, Ducros A, Vahedi K, Chabriat H et al. (1996) Notch3 mutations in CADASIL, a hereditary adult-onset condition causing stroke and dementia. Nature 383: 707-710. doi:https://doi.org/10.1038/383707a0. PubMed: 8878478.
  4. 4. Federico A, Bianchi S, Dotti MT (2005) The spectrum of mutations for CADASIL diagnosis. Neurol Sci 26: 117-124. doi:https://doi.org/10.1007/s10072-005-0444-3. PubMed: 15995828.
  5. 5. Dichgans M (2003) Ch.6 Monogenic causes of ischaemic stroke. In: H. Markus. Stroke Genetics. Publ. Oxford Press. pp.165-195.
  6. 6. Guidetti D, Casali B, Mazzei RL, Dotti MT (2006) Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy. Clin Exp Hypertens 28: 271-277. doi:https://doi.org/10.1080/10641960600549223. PubMed: 16833034.
  7. 7. Kalimo H, Ruchoux MM, Viitanen M, Kalaria RN (2002) CADASIL: a common form of hereditary arteriopathy causing brain infarcts and dementia. Brain Pathol 12: 371-384. PubMed: 12146805.
  8. 8. Pescini F, Bianchi S, Salvadori E, Poggesi A, Dotti MT et al. (2008) A pathogenic mutation on exon 21 of the NOTCH3 gene causing CADASIL in an octogenarian paucisymptomatic patient. J Neurol Sci 267: 170-173. doi:https://doi.org/10.1016/j.jns.2007.10.017. PubMed: 18022198.
  9. 9. Vikelis M, Papatriantafyllou J, Karageorgiou CE (2007) A novel CADASIL-causing mutation in a stroke patient. Swiss Med Wkly 137: 323-325. PubMed: 17629811.
  10. 10. Fouillade C, Chabriat H, Riant F, Mine M, Arnoud M et al. (2008) Activating NOTCH3 mutation in a patient with small-vessel-disease of the brain. Hum Mutat 29: 452. doi:https://doi.org/10.1002/humu.9526. PubMed: 18273901.
  11. 11. Arboleda-Velasquez JF, Zhou Z, Shin HK, Louvi A, Kim HH et al. (2008) Linking Notch signaling to ischemic stroke. Proc Natl Acad Sci U S A 105: 4856-4861. doi:https://doi.org/10.1073/pnas.0709867105. PubMed: 18347334.
  12. 12. (1988) The World Health Organization MONICA Project (monitoring trends and determinants in cardiovascular disease): a major international collaboration. WHO MONICA Project Principal Investigators. J Clin Epidemiol 41: 105-114. doi:https://doi.org/10.1016/0895-4356(88)90084-4. PubMed: 3335877. PubMed: 3335877.
  13. 13. Adams HP Jr., Bendixen BH, Kappelle LJ, Biller J, Love BB et al. (1993) Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke 24: 35-41.
  14. 14. Guerreiro RJ, Lohmann E, Kinsella E, Bras JM, Luu N et al. (2011) Exome sequencing reveals an unexpected genetic cause of disease: NOTCH3 mutation in a Turkish family with Alzheimer’s disease. Neurobiol Aging.
  15. 15. Barrett JC (2009) Haploview: Visualization and analysis of SNP genotype data. Cold Spring Harb Protoc 2009: pdb ip71.
  16. 16. Dudoit S, van der Laan MJ, Pollard KS (2004) Multiple testing. Part I. Single-step procedures for control of general type I error rates. Stat Appl Genet Mol Biol 3: Article13.
  17. 17. Ramensky V, Bork P, Sunyaev S (2002) Human non-synonymous SNPs: server and survey. Nucleic Acids Res 30: 3894-3900. doi:https://doi.org/10.1093/nar/gkf493. PubMed: 12202775.
  18. 18. Schmidt H, Zeginigg M, Wiltgen M, Freudenberger P, Petrovic K et al. (2011) Genetic variants of the NOTCH3 gene in the elderly and magnetic resonance imaging correlates of age-related cerebral small vessel disease. Brain 134: 3384-3397. doi:https://doi.org/10.1093/brain/awr252. PubMed: 22006983.
  19. 19. High FA, Epstein JA (2008) The multifaceted role of Notch in cardiac development and disease. Nat Rev Genet 9: 49-61. doi:https://doi.org/10.1038/nrg2279. PubMed: 18071321.