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(Stroke. 2000;31:930.)
© 2000 American Heart Association, Inc.


Original Contributions

Linkage of Familial Moyamoya Disease (Spontaneous Occlusion of the Circle of Willis) to Chromosome 17q25

Tohru Yamauchi, MD; Mitsuhiro Tada, MD; Kiyohiro Houkin, MD; Toshihiro Tanaka, MD; Yusuke Nakamura, MD; Satoshi Kuroda, MD; Hiroshi Abe, MD; Takuya Inoue, MD; Kiyonobu Ikezaki, MD; Toshio Matsushima, MD Masashi Fukui, MD

From the Section of Neurosurgery, Department of Neuropathophysiology (T.Y, M.T., K.H., S.K., H.A.), and Division of Cell Biology, Cancer Institute (M.T.), Hokkaido University School of Medicine, Sapporo, Japan; Laboratory of Molecular Medicine (T.T., Y.N.), Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; and Department of Neurosurgery (T.I., K.I., T.M., M.F.), Neurological Institute, Faculty of Medicine, Kyusyu University, Fukuoka, Japan

Correspondence to Mitsuhiro Tada, MD, Division of Cell Biology, Cancer Institute, Hokkaido University School of Medicine, North 15 West 7 Kita-Ku, Sapporo, 060-8638 Japan. E-mail m_tada{at}med.hokudai.ac.jp


*    Abstract
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Background and Purpose—Moyamoya disease is a cerebrovascular disease of unknown cause that mainly affects Japanese children. The incidence of familial occurrence accounts for 9% of cases. The characteristic lesions of moyamoya disease are occasionally seen in neurofibromatosis type 1, of which the causative gene (NF1) has been assigned to chromosome 17q11.2.

Methods—To determine whether a gene related to moyamoya disease is located on chromosome 17, we conducted microsatellite linkage analyses on 24 families containing 56 patients with moyamoya disease. Leukocyte DNA extracted from the family members was subjected to polymerase chain reaction for a total of 22 microsatellite markers on chromosome 17. The amplified polymerase chain reaction fragments were analyzed with GeneScan on an automated sequencer.

Results—Two-point linkage analysis gave a maximum log10 odds (LOD) score of 3.11 at the recombination fraction of 0.00 for the marker at locus D17S939. The affected pedigree member method also showed a significantly low P value (<1.0x10-5) for the 5 adjacent markers at 17q25. Multipoint linkage analysis also indicated that the disease gene is contained within the 9-cM region of D17S785 to D17S836, with a maximum LOD score of 4.58.

Conclusions—A gene for familial moyamoya disease is located on chromosome 17q25.


Key Words: child • genetics • moyamoya disease


*    Introduction
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*Introduction
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Spontaneous occlusion of the circle of Willis (moyamoya disease) is a clinical entity of unknown cause that is characterized primarily by angiographic findings of bilateral occlusion at the terminal portion of the internal carotid artery with a characteristic telangiectasic vascular network ("moyamoya" vessels) at the base of the brain. Although the disease is extremely uncommon in non-Asian populations,1 its estimated prevalence in the entire Japanese population is >=3 per 100 000 persons.2 Together with the elevated incidence in the Japanese population, there are several lines of evidence that indicate moyamoya disease is related to genetic factors3 4 5 : (1) familial occurrence is seen in {approx}9% of cases, (2) the incidence of the disease in both monozygotic twins is 80%, and (3) the sib recurrence rate and relative incidence rate in offspring are 42 and 34 times higher than the incidence rate in the general population. On the basis of the statistical data, Osawa et al4 concluded that moyamoya disease is inherited most probably in a polygenic mode or an autosomal dominant fashion with a low penetrance.

In this regard, it is quite interesting that the characteristic lesions of moyamoya disease are occasionally associated with neurofibromatosis type 1 (NF1; von Recklinghausen’s disease), of which the responsible gene, NF1, is located on chromosome 17q11.2.6 More than 50 cases of such an association have been reported so far.4 7 8 9 In the present study, we conducted linkage analyses on pedigrees of familial moyamoya disease to test the hypothesis that moyamoya disease is linked to a particular chromosomal region.


*    Subjects and Methods
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*Subjects and Methods
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Ascertainment
Each member of 24 families who agreed to participate in the present study was examined by 1 of the authors (K.H., S.K., T.M., or M.F.). All of the participants underwent magnetic resonance (MR) imaging at least once and MR angiography (MRA), conventional angiography, or both when indicated. The presence of moyamoya disease was diagnosed according to the criteria shown in Table 1Down.10 All of the individuals without symptoms were screened with MRA or angiography. An asymptomatic patient (individual 6) was diagnosed as having definite moyamoya disease on MRA or angiography (criterion II) in addition to criterion III. All of the affected patients were diagnosed as having definite moyamoya disease (Figure 1Down), and no "probable" cases were included. The analyzed pedigrees are shown in Figure 2Down. Among them, 5 families have been reported elsewhere.5 11 The mean ages (range, median) of the affected patients and unaffected individuals were 19.5 (3 to 56, median 14) years and 44.0 (18 to 65, median 47) years, respectively.


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Table 1. Diagnostic Guidelines for Spontaneous Occlusion of the Circle of Willis (Moyamoya Disease)



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Figure 1. Cerebral carotid angiogram of a representative case of moyamoya disease (individual 6 in Figure 2Up).



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Figure 2. Pedigrees of the families studied indicating male ({blacksquare} and {square}) and female (• and {circ}) individuals. Filled squares and circles indicate individuals with moyamoya disease. All of the numbered individuals were genotyped. Individuals 62 to 65, 70 to 73, 78 to 81, 33 to 44, 45 to 52, and 82 to 90 were also analyzed by Ikeda et al.16

DNA Typing and Search Strategy
Genomic DNA was extracted from peripheral blood with DNAzol (Life Technologies). For an initial screening of chromosome 17 to determine the approximate locus, the ABI PRISM linkage mapping set of fluorescence-labeled markers (D17S849, D17S938, D17S945, D17S799, D17S925, D17S798, D17SS791, D17S787, D17S808, D17S949, D17S802, D17S784, and D17S928; Perkin-Elmer Applied Biosystems) that define a 10-cM resolution was used on the 4 families (individuals 1 to 5, 6 to 9, 12 to 22, and 23 to 28 in Figure 2Up). Polymerase chain reaction (PCR) was performed with a 2400 Thermal Cycler (Perkin-Elmer Applied Biosystems) in a 15-µL reaction mixture containing 40 to 60 ng genomic DNA, 1x PCR buffer II (Perkin-Elmer Applied Biosystems), 2.5 mmol/L MgCl2, 250 µmol/L concentration of each dNTP, 0.5 µmol/L concentration of each primer, and 2.5 U Taq Gold polymerase (Perkin-Elmer Applied Biosystems) with the following cycles: initial denaturation at 95°C for 12 minutes; denaturation at 94°C for 15 seconds, annealing at 55°C for 15 seconds, and extension at 72°C for 45 seconds for the first 10 cycles; denaturation at 89°C for 15 seconds, annealing at 53°C for 15 seconds, and extension at 72°C for 45 seconds for the next 35 cycles; and then final extension at 72°C for 10 minutes. DNA typing was performed with an ABI PRISM 310 automated DNA sequencer (Perkin-Elmer Applied Biosystems). Allele sizes were calculated with the use of GeneScan software with GeneScan 500 TAMRA as the size standard markers. For the detailed analysis of chromosome 17q24-qter, 9 markers (D17S794, D17S942, D17S795, D17S840, D17S929, D17S801, D17S785, D17S939, and D17S836) were selected to cover the region at an average of 4.3-cM intervals for 24 families (individuals 1 to 103). PCRs were carried out in 15-µL volumes containing 40 to 60 ng genomic DNA, 1x XL buffer (Perkin-Elmer Applied Biosystems), 2.5 mmol/L Mg(OAc)2, 250 µmol/L concentration of each dNTP, 1.0 µmol/L concentration of each primer, and 2.5 U Tth XL polymerase (Perkin-Elmer Applied Biosystems), with the following cycles: initial denaturation at 95°C for 30 seconds; denaturation at 94°C for 60 seconds, annealing at 55°C for 60 seconds, and extension at 72°C for 60 seconds for the first 10 cycles; denaturation at 94°C for 60 seconds, annealing at 50 to 55°C for 60 seconds, and extension at 72°C for 60 seconds for the next 35 cycles; and then final extension at 72°C for 10 minutes. Two Internet databases [GeneMap98 (http://www.ncbi.nlm.nih.gov/genemap98/) and NCBI Entrez Chromosomal Map (http://www.ncbi.nlm.nih.gov/Entrez/Genome/org.html)] were used to generate linkage maps.

Linkage Analysis
Two-point LOD scores between the disease locus and each individual marker were calculated with the MLINK program of the LINKAGE 5.2 package.12 Osawa et al4 assumed on the basis of their statistical study that moyamoya disease was inherited in a polygenic mode or an autosomal dominant manner with a low penetrance. Because of the actual inheritance observed in the present pedigrees (Figure 2Up), in which 1 of the parents in several families had moyamoya disease as well as the children, we considered that there was a certain major gene that determined the disease occurrence at least apparently in a dominant fashion. We thus used a dominant transmission model as the most appropriate model for the 2-point linkage analysis. Based on the incidences of the disease in the parents and the offspring, penetrances of 0.2, 0.5, and 0.67 were used. The frequency of the abnormal allele was set at 0.00001 on the basis of the prevalence of 3.16 per 100 000 persons and the familial aggregation.2 Recombination frequency ({theta}) was assumed to be equal between males and females. LOD scores were also calculated with the use of a recessive model with an allele frequency of 0.006 and penetrance of 0.2, 0.5, 0.67, 0.8, and 1.0 for a reference. Unified parametric and nonparametric multipoint analyses were performed with GENEHUNTER,13 and the results were plotted contiguous to each other.14 Marker order and intermarker distances were based on the linkage maps available on Internet databases. The studied markers and the distances between them are shown in Figure 3Down.



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Figure 3. Genetic regional map of chromosome 17. Markers used for linkage analysis in this study are indicated, with their respective distances (q).18 19 20

To further confirm the results, the affected pedigree member (APM) method15 was performed with the APM package. As weighing functions, f(p)=1/{surd}p and 1/p were applied. Empirical P values were calculated with SIM and HIST in the APM package.


*    Results
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up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
*Results
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The screening of 4 families (individuals 1 to 5, 6 to 9, 12 to 22, and 23 to 28 in Figure 2Up) with 10 microsatellite markers showed a positive LOD score at the D17S784 marker on chromosome 17q25 (maximum LOD score [Zmax] 0.32 at {theta} =0.00). With a dominant transmission model, detailed analysis for all of the 24 families (individuals 1 to 103) with the 9 additional markers around D17S784 yielded a cumulative maximum LOD score of 3.11 at {theta}=0.00 for the marker D17S939. Different estimates of disease penetrance did not significantly alter the LOD scores. With an autosomal recessive model of inheritance, the maximum LOD scores were 2.02 (penetrance 0.2), 2.26 (0.5), 2.45 (0.67), 2.56 (0.8), and 2.82 (1.0) at the recombination fraction of 0.10 for the marker D17S939. The cumulative LOD scores obtained are shown in Table 2Down. Multipoint linkage analysis in the 24 families according to the method of Kruglyak et al13 revealed that the moyamoya disease gene was most likely to lie in the 9-cM interval between D17S785 and D17S836, with a maximum LOD score of 4.58 (Figure 4Down).


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Table 2. Cumulative 2-Point LOD Scores Obtained With an Autosomal Dominant Model With Penetrance of 0.2 (1 of 5) or 0.67 (2 of 3)



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Figure 4. Unified multipoint linkage analysis between familial moyamoya disease and markers on chromosome 17q24-25, determined with the use of genotypes from all the pedigrees. Marker D17S794 was set at map position zero. The LOD score at each point was computed according to the method of Kruglyak et al.13

The application of the APM method to all of the affected individuals showed high statistical values and significantly low empirical P values (P<0.00001) for the 5 markers surrounding D17S939 with a weighting function f(p)=1/{surd}p (Table 3Down). With f(p)=1/p, the empirical P value was the lowest for the marker D17S939.


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Table 3. Results of the Analysis of Affected Pedigree Member


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
up arrowResults
*Discussion
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We performed linkage analysis to map the locus of familial moyamoya disease on chromosome 17. Despite the small pedigree and the limited number of microsatellite markers on chromosome 17, we successfully identified the disease locus in the telomeric region of the long arm of chromosome 17. With the APM method, we confirmed the linkage at a significantly low P value. During the initial period of this study, we expected moyamoya disease to be related to the NF1 gene located on chromosome 17q11.2. The NF1 protein is a GTPase-activating protein that regulates cellular growth through control of the Ras oncogene. We hypothesized that aberration of this regulation might give rise to the proliferation of endothelial and smooth muscle cells in the internal carotid arteries and their branches. The present data, however, did not support the direct participation of the NF1 gene in the occurrence of moyamoya disease and instead indicated the importance of a distinct gene located closer to the telomere of chromosome 17 (17q25). At the present moment, the region 17q 25 between the markers D17S785 and D17S836 includes no likely candidate genes that may be relevant to angiogenesis or cellular proliferation, according to the GeneMap’98 available on the Internet (http://www.ncbi.nlm.nih.gov/genemap98/). However, adjacent regions contain some possibly relevant genes, including epidermal growth factor receptor-binding protein 2 (GenBank accession number M96995), integrin-ß4 subunit (X51841), and tissue inhibitor of metalloproteinase 2 (J05593).

Ikeda et al16 recently demonstrated that a gene of familial moyamoya disease is mapped to chromosome 3p24.2-p26 region. Their result, however, is not necessarily contradictory to our result, because the previously conducted genetic studies predicted that the disease is most probably polygenic (ie, >1 gene can be responsible for the disease).4 For instance, linkage of several independent loci, including chromosomes 5q, 6, 11q, 12q, 13, and 14q, has been found to show linkage to asthma.17 Because the maximum LOD score of 3.11 (OR >1200) in the 2-point linkage analysis was considered marginal to indicate the presence of a linkage and because this type of analysis is susceptible to the assumed model of inheritance, we conducted 2 further nonparametric analyses. With the unified parametric and nonparametric methods of Kruglyak et al,13 the maximum LOD score of 4.58 (OR >38 000) was observed at a locus between D17S785 and D17S836. This was confirmed with the APM method, which showed significantly low P values (P<0.00001) in the same region. The amply significant statistical LOD scores and P values according to different analytical methods in the present study definitely demonstrate the presence of a relevant gene on chromosome 17q25, although further studies should be warranted to determine the relationship between the genes at the different loci.

Moyamoya disease is the most critical cause for childhood stroke in the Japanese population. The disease is considered most frequent in northern Asian countries, and it is distributed worldwide at a lower frequency. Because this study dealt with only familial cases of moyamoya disease, the results may not be directly applicable to the majority of sporadic cases. However, the elucidation of a genetic cause for familial moyamoya disease should help us to better understand sporadic moyamoya disease as well. Based on this point of view, we are conducting a project to clone the causative gene in the chromosome 17q25 region.


*    Acknowledgments
 
This work was supported in part by a grant from Research Committee on Spontaneous Occlusion of the Circle of Willis sponsored by the Ministry of Health and Welfare of Japan and by a grant-in-aid for Scientific Research from the Ministry of Education of Japan (08671556).

Received September 24, 1999; revision received December 6, 1999; accepted January 4, 2000.


*    References
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up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
up arrowResults
up arrowDiscussion
*References
 

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