Masao Nagasaki

Masao Nagasaki


Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

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

Representative Publications

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11 September 2011 in Nature
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Journal Article
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KYKenichi Yoshida
Kenichi Yoshida
MSMasashi Sanada
Masashi Sanada
YSYuichi Shiraishi
Yuichi Shiraishi
DNDaniel Nowak
Daniel Nowak
YNYasunobu Nagata
Yasunobu Nagata
SOSeishi Ogawa
Seishi Ogawa

27 May 2012 in Nature Genetics
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Journal Article
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AFAkihiro Fujimoto
Akihiro Fujimoto
YTYasushi Totoki
Yasushi Totoki
TATetsuo Abe
Tetsuo Abe
KBKeith A Boroevich
Keith A Boroevich
FHFumie Hosoda
Fumie Hosoda
HNHidewaki Nakagawa
Hidewaki Nakagawa

18 August 2013 in Nature Genetics
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Journal Article
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AKAyana Kon
Ayana Kon
LSLee-Yung Shih
Lee-Yung Shih
MMMasashi Minamino
Masashi Minamino
MSMasashi Sanada
Masashi Sanada
YSYuichi Shiraishi
Yuichi Shiraishi
SOSeishi Ogawa
Seishi Ogawa

21 August 2015 in Nature Communications
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Journal Article
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MNMasao Nagasaki
Masao Nagasaki
JYJun Yasuda
Jun Yasuda
FKFumiki Katsuoka
Fumiki Katsuoka
NNNaoki Nariai
Naoki Nariai
KKKaname Kojima
Kaname Kojima
MYMasayuki Yamamoto
Masayuki Yamamoto
The Tohoku Medical Megabank Organization reports the whole-genome sequences of 1,070 healthy Japanese individuals and construction of a Japanese population reference panel (1KJPN). Here we identify through this high-coverage sequencing (32.4 × on average), 21.2 million, including 12 million novel, single-nucleotide variants (SNVs) at an estimated false discovery rate of <1.0%. This detailed analysis detected signatures for purifying selection on regulatory elements as well as coding regions. We also catalogue structural variants, including 3.4 million insertions and deletions, and 25,923 genic copy-number variants. The 1KJPN was effective for imputing genotypes of the Japanese population genome wide. These data demonstrate the value of high-coverage sequencing for constructing population-specific variant panels, which covers 99.0% SNVs of minor allele frequency ≥0.1%, and its value for identifying causal rare variants of complex human disease phenotypes in genetic association studies.

1 January 2016 in Journal of Epidemiology
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SKShinichi Kuriyama
Shinichi Kuriyama
NYNobuo Yaegashi
Nobuo Yaegashi
FNFuji Nagami
Fuji Nagami
TATomohiko Arai
Tomohiko Arai
YKYoshio Kawaguchi
Yoshio Kawaguchi
MYMasayuki Yamamoto
Masayuki Yamamoto
Japan's largest platform for academic e-journals: J-STAGE is a full text database for reviewed academic papers published by Japanese societies

7 January 2016 in PLOS Genetics
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MKMasakazu Kohda
Masakazu Kohda
YTYoshimi Tokuzawa
Yoshimi Tokuzawa
YKYoshihito Kishita
Yoshihito Kishita
HNHiromi Nyuzuki
Hiromi Nyuzuki
YMYohsuke Moriyama
Yohsuke Moriyama
YOYasushi Okazaki
Yasushi Okazaki
Mitochondrial disorders have the highest incidence among congenital metabolic disorders characterized by biochemical respiratory chain complex deficiencies. It occurs at a rate of 1 in 5,000 births, and has phenotypic and genetic heterogeneity. Mutations in about 1,500 nuclear encoded mitochondrial proteins may cause mitochondrial dysfunction of energy production and mitochondrial disorders. More than 250 genes that cause mitochondrial disorders have been reported to date. However exact genetic diagnosis for patients still remained largely unknown. To reveal this heterogeneity, we performed comprehensive genomic analyses for 142 patients with childhood-onset mitochondrial respiratory chain complex deficiencies. The approach includes whole mtDNA and exome analyses using high-throughput sequencing, and chromosomal aberration analyses using high-density oligonucleotide arrays. We identified 37 novel mutations in known mitochondrial disease genes and 3 mitochondria-related genes (MRPS23, QRSL1, and PNPLA4) as novel causative genes. We also identified 2 genes known to cause monogenic diseases (MECP2 and TNNI3) and 3 chromosomal aberrations (6q24.3-q25.1, 17p12, and 22q11.21) as causes in this cohort. Our approaches enhance the ability to identify pathogenic gene mutations in patients with biochemically defined mitochondrial respiratory chain complex deficiencies in clinical settings. They also underscore clinical and genetic heterogeneity and will improve patient care of this complex disorder. Mitochondria play a crucial role in ATP biosynthesis and comprise proteins encoded in both the nuclear and mitochondrial genomes. Although more than 250 mitochondrial disease-causing genes have been reported, the exact genetic causes in patients remain largely unknown. Here, we aimed to provide further insights into the pathogenic mechanisms of mitochondrial disorders. We investigated the genes encoded in the nuclear and mitochondrial genomes using comprehensive genomic analysis in 142 patients with mitochondrial respiratory chain complex deficiencies. We identified 3 novel disease-causing mitochondria-related genes (MRPS23, QRSL1, and PNPLA4) as well as other disease-causing genes and novel pathogenic mutations in known mitochondrial disease-causing genes. All pathogenic mutations in this study are validated by genetic and/or functional evidence. Our findings, including the achievement of firm genetic diagnoses for 49 of 142 patients (34.5%), were higher than the general diagnosis rate of approximately 25% and demonstrated the value of comprehensive genomic analysis. Accordingly, we have shed light on the genetic heterogeneity underlying mitochondrial disorders.