Hirotomo Saitsu

Prof. Hirotomo Saitsu

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 March 2012 in Nature Genetics
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Journal Article
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YTYoshinori Tsurusaki
Yoshinori Tsurusaki
NONobuhiko Okamoto
Nobuhiko Okamoto
HOHirofumi Ohashi
Hirofumi Ohashi
TKTomoki Kosho
Tomoki Kosho
YIYoko Imai
Yoko Imai
NMNaomichi Matsumoto
Naomichi Matsumoto

11 May 2008 in Nature Genetics
Verified
Journal Article
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HSHirotomo Saitsu
Hirotomo Saitsu
MKMitsuhiro Kato
Mitsuhiro Kato
TMTakeshi Mizuguchi
Takeshi Mizuguchi
KHKeisuke Hamada
Keisuke Hamada
HOHitoshi Osaka
Hitoshi Osaka
NMNaomichi Matsumoto
Naomichi Matsumoto

24 February 2013 in Nature Genetics
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Journal Article
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HSHirotomo Saitsu
Hirotomo Saitsu
TNTaki Nishimura
Taki Nishimura
KMKazuhiro Muramatsu
Kazuhiro Muramatsu
HKHirofumi Kodera
Hirofumi Kodera
SKSatoko Kumada
Satoko Kumada
NMNaomichi Matsumoto
Naomichi Matsumoto

25 February 2016 in Journal of Human Genetics
Verified
Journal Article
Open access
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KHKoichiro Higasa
Koichiro Higasa
NMNoriko Miyake
Noriko Miyake
JYJun Yoshimura
Jun Yoshimura
KOKohji Okamura
Kohji Okamura
TNTetsuya Niihori
Tetsuya Niihori
FMFumihiko Matsuda
Fumihiko Matsuda
Whole-genome and -exome resequencing using next-generation sequencers is a powerful approach for identifying genomic variations that are associated with diseases. However, systematic strategies for prioritizing causative variants from many candidates to explain the disease phenotype are still far from being established, because the population-specific frequency spectrum of genetic variation has not been characterized. Here, we have collected exomic genetic variation from 1208 Japanese individuals through a collaborative effort, and aggregated the data into a prevailing catalog. In total, we identified 156 622 previously unreported variants. The allele frequencies for the majority (88.8%) were lower than 0.5% in allele frequency and predicted to be functionally deleterious. In addition, we have constructed a Japanese-specific major allele reference genome by which the number of unique mapping of the short reads in our data has increased 0.045% on average. Our results illustrate the importance of constructing an ethnicity-specific reference genome for identifying rare variants. All the collected data were centralized to a newly developed database to serve as useful resources for exploring pathogenic variations. Public access to the database is available at http://www.genome.med.kyoto-u.ac.jp/SnpDB/.

13 March 2012 in Neurology
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SMS. Miyatake
S. Miyatake
NMN. Miyake
N. Miyake
HTH. Touho
H. Touho
ANA. Nishimura-Tadaki
A. Nishimura-Tadaki
YKY. Kondo
Y. Kondo
NMN. Matsumoto
N. Matsumoto
Objective: RNF213 was recently reported as a susceptibility gene for moyamoya disease (MMD). Our aim was to clarify the correlation between the RNF213 genotype and MMD phenotype. Methods: The entire coding region of the RNF213 gene was sequenced in 204 patients with MMD, and corresponding variants were checked in 62 pairs of parents, 13 mothers and 4 fathers of the patients, and 283 normal controls. Clinical information was collected. Genotype-phenotype correlations were statistically analyzed. Results: The c.14576G>A variant was identified in 95.1% of patients with familial MMD, 79.2% of patients with sporadic MMD, and 1.8% of controls, thus confirming its association with MMD, with an odds ratio of 259 and p < 0.001 for either heterozygotes or homozygotes. Homozygous c.14576G>A was observed in 15 patients but not in the controls and unaffected parents. The incidence rate for homozygotes was calculated to be >78%. Homozygotes had a significantly earlier age at onset compared with heterozygotes or wild types (median age at onset 3, 7, and 8 years, respectively). Of homozygotes, 60% were diagnosed with MMD before age 4, and all had infarctions as the first symptom. Infarctions at initial presentation and involvement of posterior cerebral arteries, both known as poor prognostic factors for MMD, were of significantly higher frequency in homozygotes than in heterozygotes and wild types. Variants other than c.14576G>A were not associated with clinical phenotypes. Conclusions: The homozygous c.14576G>A variant in RNF213 could be a good DNA biomarker for predicting the severe type of MMD, for which early medical/surgical intervention is recommended, and may provide a better monitoring and prevention strategy.

1 September 2013 in The American Journal of Human Genetics
Verified
Journal Article
Closed access
KNKazuyuki Nakamura
Kazuyuki Nakamura
HKHirofumi Kodera
Hirofumi Kodera
TATenpei Akita
Tenpei Akita
MSMasaaki Shiina
Masaaki Shiina
MKMitsuhiro Kato
Mitsuhiro Kato
HSHirotomo Saitsu
Hirotomo Saitsu