NBDCヒトデータベースに登録されている制限公開データを使用した研究成果
| 研究代表者 | 論文タイトル | ジャーナル | 公開日 | 利用データ |
|---|---|---|---|---|
| 井狩 彌彦 | Improved Correlation of 18F-Flortaucipir PET SUVRs and Clinical Stages in the Alzheimer Disease Continuum with the MUBADA/PERSI-Based Analysis | Journal of Nuclear Medicine Technology (doi:10.2967/jnmt.123.267113) |
2024.4.16 | JGAD000378 |
| Eric Westman | A deep learning model for brain age prediction using minimally preprocessed T1w images as input | Frontiers in Aging Neuroscience (doi:10.3389/fnagi.2023.1303036) |
2024.1.8 | JGAD000051 |
| 福永 航也 | Differential Effects of HLA-B∗15:11 and HLA-A∗31:01 on Carbamazepine-Induced Cutaneous Adverse Reactions | Journal of Investigative Dermatology (doi:10.1016/j.jid.2023.09.282) |
2023.10.30 | JGAD000018、 JGAD000425、 JGAD000529、JGAD000660 |
| 河野 隆志 | Identification of telomere maintenance gene variations related to lung adenocarcinoma risk by genome-wide association and whole genome sequencing analyses | Cancer Communication (doi:10.1002/cac2.12498) |
2023.10.26 | JGAD000123、JGAD000220 |
| 白石 航也 | Identification of telomere maintenance gene variations related to lung adenocarcinoma risk by genome-wide association and whole genome sequencing analyses | Cancer Communication (doi:10.1002/cac2.12498) |
2023.10.26 | JGAD000060、JGAD000062、 JGAD000076、JGAD000086、 JGAD000091、JGAD000092、 JGAD000095、JGAD000109、 JGAD000110、JGAD000111、 JGAD000116、 JGAD000122、 JGAD000123、JGAD000124、 JGAD000228、JGAD000229、 JGAD000233、JGAD000236、 JGAD000250、JGAD000311 |
| 河野 隆志 | Contribution of an Asian-prevalent HLA haplotype to the risk of HBV-related hepatocellular carcinoma | Scientific Reports (doi:10.1038/s41598-023-40000-3) |
2023.8.9 | JGAD000018 |
| 河野 隆志 | Contribution of an Asian-prevalent HLA haplotype to the risk of HBV-related hepatocellular carcinoma | Scientific Reports (doi:10.1038/s41598-023-40000-3) |
2023.8.9 | JGAD000123、JGAD000220 |
| 白石 航也 | Contribution of an Asian-prevalent HLA haplotype to the risk of HBV-related hepatocellular carcinoma | Scientific Reports (doi:10.1038/s41598-023-40000-3) |
2023.8.9 | JGAD000060、JGAD000062、 JGAD000076、JGAD000086、 JGAD000091、JGAD000092、 JGAD000095、JGAD000109、 JGAD000110、JGAD000111、 JGAD000116、 JGAD000122、 JGAD000123、JGAD000124、 JGAD000228、JGAD000229、 JGAD000233、JGAD000236、 JGAD000250、JGAD000311 |
| 枡田 大生 | Higher longitudinal brain white matter atrophy rate in aquaporin-4 IgG-positive NMOSD compared with healthy controls | Scientific Reports (doi: 10.1038/s41598-023-38893-1) |
2023.8.3 | JGAD000051 |
| Danny Chi Yeu Leung | Single-cell analysis reveals transcriptomic and epigenomic impacts on the maternal-fetal interface following SARS-CoV-2 infection | Nature Cell Biology (doi:10.1038/s41556-023-01169-x) |
2023.7.3 | JGAD000073、JGAD000115、 JGAD000121 |
| 岡田 随象 | Pan-cancer and cross-population genome-wide association studies dissect shared genetic backgrounds underlying carcinogenesis | Nature Communications (doi: 10.1038/s41467-023-39136-7) |
2023.6.20 | JGAD000101、JGAD000102、 JGAD000123、JGAD000124、 JGAD000144-JGAD000201、 JGAD000220、JGAD000018 |
| 河野 隆志 | Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population | Nature Communications (doi:10.1038/s41467-023-38196-z) |
2023.5.26 | JGAD000123、JGAD000220 |
| Martin Hofmann-Apitius | Forecasting individual progression trajectories in Alzheimer’s disease | Nature Communications (doi:10.1038/s41467-022-35712-5) |
2023.2.10 | JGAD000051 |
| 上辻 茂男 | Genetic Backgrounds Associated With Stent Thrombosis: A Pilot Study From a Percutaneous Coronary Intervention Registry | JACC: Advances (doi:10.1016/j.jacadv.2022.100172) |
2023.1.27 | JGAD000123、JGAD000124、 JGAD000145、JGAD000146、 JGAD000149、JGAD000151、 JGAD000155、JGAD000156、 JGAD000158、JGAD000159、 JGAD000163、JGAD000165、 JGAD000166、JGAD000167、 JGAD000170、JGAD000172、 JGAD000173、JGAD000174、 JGAD000175、JGAD000182、 JGAD000187、JGAD000188、 JGAD000189、JGAD000192、 JGAD000193、JGAD000194、 JGAD000195、JGAD000196、 JGAD000200、JGAD000201 |
| Christian Wachinger | Identification of causal effects of neuroanatomy on cognitive decline requires modeling unobserved confounders | Alzheimer's & Dementia (doi:10.1002/alz.12825) |
2022.11.23 | JGAD000051 |
| Eric Westman | Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer’s disease | Nature Communications (doi:10.1038/s41467-022-32202-6) |
2022.8.5 | JGAD000051 |
| 万代 昌紀 | Mutation burden-orthogonal tumor genomic subtypes delineate responses to immune checkpoint therapy | Journal for ImmunoTherapy of Cancer (doi:10.1136/jitc-2022-004831) |
2022.7.22 | JGAD000022、JGAD000075、 JGAD000076、JGAD000091、 JGAD000086、JGAD000095、 JGAD000109、JGAD000110、 JGAD000111、JGAD000122、 JGAD000141、JGAD000250、 JGAD000254、JGAD000380 |
| 平川 晃弘 | Estimating the longitudinal trajectory of cognitive function measurement using short-term data with different disease stages: Application in Alzheimer's disease | Statics in Medicine (doi:10.1002/sim.9504) |
2022.6.24 | JGAD000051 |
| 岡田 随象 | Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation | Nature Genetics (doi:10.1038/s41588-022-01058-3) |
2022.5.12 | JGAD000012 |
| Martin Hofmann-Apitius | Comparison and aggregation of event sequences across ten cohorts to describe the consensus biomarker evolution in Alzheimer’s disease | Alzheimer's Research & Therapy (doi:10.1186/s13195-022-01001-y) |
2022.4.20 | JGAD000051 |
| 李 元中 | A high-generalizability machine learning framework for predicting the progression of Alzheimer’s disease using limited data | npj Digital Medicine (doi:10.1038/s41746-022-00577-x) |
2022.4.12 | JGAD000051 |
| Jonghwan Kim | Induction of human trophoblast stem-like cells from primed pluripotent stem cells | Cell Biology (doi:10.1073/pnas.2115709119) |
2022.3.26 | JGAD000038、JGAD000073、 JGAD000115、JGAD000121 |
| 寶珍 輝尚 | Extraction of Genes and Transcripts Associated with Liver Cancer Using Machine Learning | International Journal of Smart Computing and Artificial Intelligence (doi:10.52731/ijscai.v6.i1.628) |
2022.3.11 | JGAD000091、JGAD000228、 JGAD000229 |
| Charles G. Mullighan | Enhancer Hijacking Drives Oncogenic BCL11B Expression in Lineage-Ambiguous Stem Cell Leukemia | Cancer Discovery (doi:10.1158/2159-8290.cd-21-0145) |
2021.11.1 | JGAD000090 |
| 岡田 随象 | A cross-population atlas of genetic associations for 220 human phenotypes | Nature Genetics (doi:10.1038/s41588-021-00931-x) |
2021.9.30 | JGAD000018 |
| 莚田 泰誠 | Genome-wide association study reveals an association between the HLA-DPB1∗02:01:02 allele and wheat-dependent exercise-induced anaphylaxis | American Journal of Human Genetics (doi:10.1016/j.ajhg.2021.06.017) |
2021.7.9 | JGAD000018 |
| Charles de Bock | Oncogenic cooperation between TCF7-SPI1 and NRAS(G12D) requires β-catenin activity to drive T-cell acute lymphoblastic leukemia | Nature Communications (doi:10.1038/s41467-021-24442-9) |
2021.7.6 | JGAD000090 |
| Martin Hofmann-Apitius | Unraveling the heterogeneity in Alzheimer's disease progression across multiple cohorts and the implications for data-driven disease modeling | Alzheimer’s & Dementia (doi:10.1002/alz.12387) |
2021.6.9 | JGAD000051 |
| 佐々木 雅之 | Improved Accuracy of Amyloid PET Quantification with Adaptive Template–Based Anatomic Standardization | Journal of Nuclear Medicine Technology (doi:10.2967/jnmt.120.261701) |
2021.4.5 | JGAD000051 |
| Eric Westman | Stage vs. Subtype Hypothesis in Alzheimer's Disease: A Multi-Cohort and Longitudinal Bayesian Clustering Study | LANCET (doi:10.2139/ssrn.3797614) |
2021.3.4 | JGAD000051 |
| 岡田 随象 | Clinical use of current polygenic risk scores may exacerbate health disparities | Nature Genetics (doi:10.1038/s41588-019-0379-x) |
2021.1.28 | JGAD000101、JGAD000102、 JGAD000123 |
| 河合 洋介 | Genome-wide SNP data of Izumo and Makurazaki populations support inner-dual structure model for origin of Yamato people | Journal of Human Genetics (doi:10.1038/s10038-020-00898-3) |
2021.1.25 | JGAD000123、JGAD000124、 JGAD000144-JGAD000201、 JGAD000220 |
| Brock Christensen | Altered immune phenotype and DNA methylation in panic disorder | Clinical Epigenetics (doi:10.1186/s13148-020-00972-9) |
2020.11.18 | JGAD000120 |
| 深見 忠典 | Longitudinal analysis of brain structure using existence probability | Brain and Behavior (doi:10.1002/brb3.1869) |
2020.10.9 | JGAD000051 |
| 佐々木 雅之 | Development and evaluation of an automated quantification tool for amyloid PET images | EJNMMI Physics (doi:10.1186/s40658-020-00329-4) |
2020.9.29 | JGAD000051 |
| 佐々木 雅之 | Feasibility study of a PET-only amyloid quantification method: a comparison with visual interpretation | Annals of Nuclear Medicine (doi:10.1007/s12149-020-01486-3) |
2020.6.13 | JGAD000051 |
| 山口 修平 | Prediction of conversion to Alzheimer’s disease using deep survival analysis of MRI images | Brain Communications (doi:10.1093/braincomms/fcaa057) |
2020.5.27 | JGAD000051 |
| 岡田 随象 | Trans-biobank analysis with 676,000 individuals elucidates the association of polygenic risk scores of complex traits with human lifespan | Nature Medicine (doi:10.1038/s41591-020-0785-8) |
2020.3.23 | JGAD000124、 JGAD000144-JGAD000201 |
| 岡田 随象 | Trans-biobank analysis with 676,000 individuals elucidates the association of polygenic risk scores of complex traits with human lifespan | Nature Medicine (doi:10.1038/s41591-020-0785-8) |
2020.3.23 | JGAD000012 |
| 鈴木 一詩 | Effect of apolipoprotein E ε4 allele on the progression of cognitive decline in the early stage of Alzheimer's disease | Alzheimer’s & Dementia (doi:10.1002/trc2.12007) |
2020.3.20 | JGAD000051 |
| 青島 健 | Identification of prognostic factors to predict cognitive decline of patients with early Alzheimer's disease in the Japanese Alzheimer's Disease Neuroimaging Initiative study | Alzheimer’s & Dementia (doi:10.1016/j.trci.2019.06.004) |
2020.3.20 | JGAD000051 |
| 加藤 隆司 | Evaluation of PiB visual interpretation with CSF Aβ and longitudinal SUVR in J-ADNI study | Annals of Nuclear Medicine (doi:10.1007/s12149-019-01420-2) |
2019.11.20 | JGAD000051 |
| 菊池 正史 | Current Landscape of Late-Phase Clinical Trials for Alzheimer’s Disease: Comparing Regional Variation Between Subjects in Japan and North America | Pharmaceutical Medicine (doi:10.1007/s40290-019-00306-y) |
2019.11.2 | JGAD000051 |
| 千田 道雄 | Voxel-based statistical analysis and quantification of amyloid PET in the Japanese Alzheimer’s disease neuroimaging initiative (J-ADNI) multi-center study | EJNMMI Research (doi:10.1186/s13550-019-0561-2) |
2019.9.18 | JGAD000051 |
| Robert Bradley | DUX4 Suppresses MHC Class I to Promote Cancer Immune Evasion and Resistance to Checkpoint Blockade | Developmental Cell (doi:10.1016/j.devcel.2019.06.011) |
2019.7.18 | JGAD000047 |
| Christina Curtis | Quantitative evidence for early metastatic seeding in colorectal cancer | Nature Genetics (doi:10.1038/s41588-019-0423-x) |
2019.7.17 | JGAD000060 |
| Ana M. Aransay | A Comprehensive Study of Vesicular and Non-Vesicular miRNAs from a Volume of Cerebrospinal Fluid Compatible with Clinical Practice | Theranostics (doi:10.7150/thno.31502) |
2019.6.19 | JGAD000064 |
| 鈴木 一詩 | Effects of sex, educational background, and chronic kidney disease grading on longitudinal cognitive and functional decline in patients in the Japanese Alzheimer's Disease Neuroimaging Initiative study | Alzheimer’s & Dementia (doi:10.1016/j.trci.2018.06.008) |
2018.7.12 | JGAD000051 |
| 野口 恵美子 | HLA-DQ and RBFOX1 as susceptibility genes for an outbreak of hydrolyzed wheat allergy | MECHANISMS OF ALLERGY/IMMUNOLOGY (doi:10.1016/j.jaci.2019.06.034) |
2018.7.10 | JGAD000012、JGAD000018 |
| 松田 博史 | The association between “Brain-Age Score” (BAS) and traditional neuropsychological screening tools in Alzheimer's disease | Brain and Behavior (doi:10.1002/brb3.1020) |
2018.6.22 | JGAD000051 |
| Michael C Donohue | Japanese and North American Alzheimer's Disease Neuroimaging Initiative studies: Harmonization for international trials | Alzheimer’s & Dementia (doi:10.1016/j.jalz.2018.03.009) |
2018.5.9 | JGAD000051 |
| Danielle Harvey | Japanese and North American Alzheimer's Disease Neuroimaging Initiative studies: Harmonization for international trials | Alzheimer’s & Dementia (doi:10.1016/j.jalz.2018.03.009) |
2018.5.9 | JGAD000051 |
| 鈴木 一詩 | Japanese and North American Alzheimer's Disease Neuroimaging Initiative studies: Harmonization for international trials | Alzheimer’s & Dementia (doi:10.1016/j.jalz.2018.03.009) |
2018.5.9 | JGAD000051 |
| 田沼 延公 | PKM1 Confers Metabolic Advantages and Promotes Cell-Autonomous Tumor Cell Growth | Cancer Cell (doi: 10.1016/j.ccell.2018.02.004) |
2018.3.12 | JGAD000336 |
| 堀江 真史 | Integrative CAGE and DNA Methylation Profiling Identify Epigenetically Regulated Genes in NSCLC | Molecular Cancer Research (doi:10.1158/1541-7786.MCR-17-0191) |
2017.10.1 | JGAD000070 |
| Michael C Donohue | Cross-validation of optimized composites for preclinical Alzheimer's disease | Alzheimer’s & Dementia: Translational Research & Clinical Interventions (doi:10.1016/j.trci.2016.12.001) |
2016.12.26 | JGAD000051 |
| 石井 賢二 | Inter-rater variability of visual interpretation and comparison with quantitative evaluation of 11C-PiB PET amyloid images of the Japanese Alzheimer’s Disease Neuroimaging Initiative (J-ADNI) multicenter study | European Journal of Nuclear Medicine and Molecular Imaging (doi:10.1007/s00259-016-3591-2) |
2016.12.13 | JGAD000051 |
| 千田 道雄 | Inter-rater variability of visual interpretation and comparison with quantitative evaluation of 11C-PiB PET amyloid images of the Japanese Alzheimer’s Disease Neuroimaging Initiative (J-ADNI) multicenter study | European Journal of Nuclear Medicine and Molecular Imaging (doi:10.1007/s00259-016-3591-2) |
2016.12.13 | JGAD000051 |
| 松田 博史 | Sample Size Estimation for Alzheimer’s Disease Trials from Japanese ADNI Serial Magnetic Resonance Imaging | Journal of Alzheimer's Disease (doi:10.3233/JAD-160621) |
2016.10.12 | JGAD000051 |
| 松田 博史 | Histogram-Based Feature Extraction from Individual Gray Matter Similarity-Matrix for Alzheimer’s Disease Classification | Journal of Alzheimer's Disease (doi:10.3233/JAD-160850) |
2016.10.6 | JGAD000051 |
| 千田 道雄 | Phantom criteria for qualification of brain FDG and amyloid PET across different cameras | EJNMMI Physics (doi:10.1186%2Fs40658-016-0159-y) |
2016.10.6 | JGAD000051 |
| 吉藤 元 | Takayasu Arteritis and Ulcerative Colitis: High Rate of Co-Occurrence and Genetic Overlap | Arthritis Rheumatology (doi:10.1002/art.39157) |
2015.7.28 | JGAD000018 |
