| 松田 文彦 | Whole-genome sequencing of 3135 individuals representing the genetic diversity of the Japanese population | Journal of Human Genetics (doi:10.1038/s10038-025-01430-1) | 2025.11.8 | JGAD000220 |
| 松田 文彦 | IgG4-related disease in the Japanese population: a whole-genome sequencing study | The Lancet Rheumatology (doi:10.1016/S2665-9913(25)00195-X) | 2025.11.3 | JGAD000123、JGAD000220 |
| Tianzhong Yang | Multiancestry Transcriptome-Wide Association Study Identifies Candidate Genes Associated with Hepatoblastoma | Cancer Epidemiology Biomarkers & Prevention (doi: 10.1158/1055-9965.EPI-24-1553) | 2025.8.1 | JGAD000334 |
| 角田 達彦 | High-Throughput Drug Screening of Clear Cell Ovarian Cancer Organoids Reveals Vulnerability to Proteasome Inhibitors and Dinaciclib and Identifies AGR2 as a Therapeutic Target | Cancer Research Commun (doi: 10.1158/2767-9764.CRC-25-0024) | 2025.6.25 | JGAD000076 |
| 白石 航也 | Genomic Profiles of Pathogenic and Moderate-Penetrance Germline Variants Associated With Risk of Early-Onset Lung Adenocarcinoma | Journal of Thoracic Oncology (doi: 10.1016/j.jtho.2025.06.005) | 2025.6.12 | JGAD000060、 JGAD000062、 JGAD000076、 JGAD000086、 JGAD000091、 JGAD000092、 JGAD000095、 JGAD000109、 JGAD000110、 JGAD000111、 JGAD000116、 JGAD000122、 JGAD000123、 JGAD000124、 JGAD000228、 JGAD000229、 JGAD000233、 JGAD000236、 JGAD000250、 JGAD000311、 JGAD000312 |
| 河野 隆志 | Genomic Profiles of Pathogenic and Moderate-Penetrance Germline Variants Associated With Risk of Early-Onset Lung Adenocarcinoma | Journal of Thoracic Oncology (doi: 10.1016/j.jtho.2025.06.005) | 2025.6.12 | JGAD000018、 JGAD000075、 JGAD000209、 JGAD000220 |
| 白石 航也 | Impact of germline variants on breast and ovarian cancer risk in Japanese women: an original cohort study and meta-analysis | eBioMedicine (doi: 10.1016/j.ebiom.2025.105758) | 2025.5.21 | JGAD000060、 JGAD000062、 JGAD000076、 JGAD000086、 JGAD000091、 JGAD000092、 JGAD000095、 JGAD000109、 JGAD000110、 JGAD000111、 JGAD000116、 JGAD000122、 JGAD000123、 JGAD000124、 JGAD000228、 JGAD000229、 JGAD000233、 JGAD000236、 JGAD000250、 JGAD000311、 JGAD000312 |
| 岡田 随象 | Dissecting cross-population polygenic heterogeneity across respiratory and cardiometabolic diseases | Nature Communications (doi: 10.1038/s41467-025-58149-y) | 2025.4.28 | JGAD000018、 JGAD000101、 JGAD000102、 JGAD000123、 JGAD000124、 JGAD000144-JGAD000201、 JGAD000220 |
| Eric Westman | Atrophy trajectories in Alzheimer’s disease: how sex matters | Alzheimer's Research & Therapy (doi:10.1186/s13195-025-01713-x) | 2025.4.11 | JGAD000051 |
| 寺尾 知可史 | Translational genomics of osteoarthritis in 1,962,069 individuals | Nature (doi:10.1038/s41586-025-08771-z) | 2025.4.9 | JGAD000123、 JGAD000124、 JGAD000144-JGAD000201、 JGAD000220、 JGAD000836、 JGAD000529 |
| 平川 晃弘 | Self-Organized Prediction-Classification-Superposition of Longitudinal Cognitive Decline in Alzheimer's Disease: An Application to Novel Clinical Research Methodology | IEEE Journal of Biomedical and Health Informatics (doi: 10.1109/JBHI.2025.3546020) | 2025.2.26 | JGAD000051 |
| 寺尾 知可史 | Mosaic loss of chromosome Y characterises late-onset rheumatoid arthritis and contrasting associations of polygenic risk score based on age at onset | Annals of the Rheumatic Diseases (doi:10.1016/j.ard.2025.01.034) | 2025.2.24 | JGAD000123、 JGAD000124、 JGAD000144-JGAD000201、 JGAD000220、 JGAD000836、 JGAD000529 |
| Yongxin LI | Human microbiome-derived peptide affects the development of experimental autoimmune encephalomyelitis via molecular mimicry | eBioMedicine (doi: 10.1016/j.ebiom.2024.105516) | 2024.12.24 | JGAD000363 |
| 野口 恵美子 | A genome-wide meta-analysis reveals shared and population-specific variants for allergic sensitization | Journal of Allergy and Clinical Immunology (doi:10.1016/j.jaci.2024.11.033) | 2024.12.5 | JGAD000018 |
| 河野 隆志 | Polygenic Risk Score and Lung Adenocarcinoma Risk Among Never-Smokers by EGFR Mutation Status: A Brief Report | Journal of Thoracic Oncology (doi: 10.1016/j.jtho.2024.11.019) | 2024.11.22 | JGAD000075、 JGAD000209、 JGAD000220 |
| 二宮 利治 | Common protein-altering variant in GFAP is associated with white matter lesions in the older Japanese population | npj Genomic Medicine (doi:10.1038/s41525-024-00431-x) | 2024.11.13 | JGAD000220 |
| 岡田 随象 | Genetic legacy of ancient hunter-gatherer Jomon in Japanese populations | Nature Communications (doi: 10.1038/s41467-024-54052-0) | 2024.11.12 | JGAD000018、 JGAD000101、 JGAD000102、 JGAD000123、 JGAD000124、 JGAD000144-JGAD000201、 JGAD000220 |
| 中杤 昌弘 | Copy number variations in RNF216 and postsynaptic membrane–associated genes are associated with bipolar disorder: a case-control study in the Japanese population | Psychiatry Clinical Neurosciences (doi:10.1111/pcn.13752) | 2024.10.15 | JGAD000379 |
| 岡田 随象 | Inconsistent embryo selection across polygenic score methods | nature human behaviour (doi: 10.1038/s41562-024-02019-y) | 2024.10.14 | JGAD000018、 JGAD000101、 JGAD000102、 JGAD000123、 JGAD000124、 JGAD000144-JGAD000201、 JGAD000220 |
| Charles G. Mullighan | Biologic and Clinical Analysis of Childhood Gamma Delta T-ALL Identifies LMO2/STAG2 Rearrangements as Extremely High Risk | Cancer Discovery (doi:10.1158/2159-8290.CD-23-1452) | 2024.10.4 | JGAD000090、 JGAD000207 |
| Eric Westman | Frontoparietal atrophy trajectories in cognitively unimpaired elderly individuals using longitudinal Bayesian clustering | Computers in Biology and Medicine (doi:10.1016/j.compbiomed.2024.109190) | 2024.10.2 | JGAD000051 |
| 岡田 随象 | Machine learning reveals heterogeneous associations between environmental factors and cardiometabolic diseases across polygenic risk scores | communications medicine (doi: 10.1038/s43856-024-00596-7) | 2024.9.20 | JGAD000018、 JGAD000101、 JGAD000102、 JGAD000123、 JGAD000124、 JGAD000144-JGAD000201、 JGAD000220 |
| 岡田 随象 | Large-scale cross-trait genetic analysis highlights shared genetic backgrounds of autoimmune diseases | Immunological Medicine (doi: 10.1080/25785826.2024.2394258) | 2024.8.22 | JGAD000018、 JGAD000101、 JGAD000102、 JGAD000123、 JGAD000124、 JGAD000144-JGAD000201、 JGAD000220 |
| Charles G. Mullighan | The genomic basis of childhood T-lineage acute lymphoblastic leukaemia | Nature (doi:10.1038/s41586-024-07807-0) | 2024.8.14 | JGAD000090、 JGAD000207 |
| 金子 猛 | HLA-DQA1*01:03 and DQB1*06:01 are risk factors for severe COVID-19 pneumonia | HLA (doi: 10.1111/tan.15609) | 2024.7.23 | JGAD000018 |
| 岡田 随象 | Common and rare genetic variants predisposing females to unexplained recurrent pregnancy loss | Nature Communications (doi:10.1038/s41467-024-49993-5) | 2024.7.17 | JGAD000012、 JGAD000018、 JGAD000101、JGAD000102、 JGAD000124、 JGAD000144-JGAD000201、 JGAD000220 |
| 上辻 茂男 | Genome-Wide Association Study with Three Control Cohorts of Japanese Patients with Esotropia and Exotropia of Comitant Strabismus and Idiopathic Superior Oblique Muscle Palsy | Molecular Sciences (doi:10.3390/ijms25136986) | 2024.6.26 | JGAD000123、JGAD000529 |
| 寺尾 知可史 | RNF213 Variants, Vasospastic Angina, and Risk of Fatal Myocardial Infarction | JAMA Cardiology (doi:10.1001/jamacardio.2024.1483) | 2024.6.18 | JGAD000123、 JGAD000124、 JGAD000144-JGAD000201、 JGAD000220、 JGAD000836、 JGAD000529 |
| Charles G. Mullighan | Conserved epigenetic hallmarks of T cell aging during immunity and malignancy | Nature Aging (doi:10.1038/s43587-024-00649-5) | 2024.6.12 | JGAD000090、 JGAD000207 |
| 岡田 随象 | Body mass index stratification optimizes polygenic prediction of type 2 diabetes in cross-biobank analyses | Nature Genetics (doi:10.1038/s41588-024-01782-y) | 2024.6.11 | JGAD000012、 JGAD000018、 JGAD000101、JGAD000102、 JGAD000124、 JGAD000144-JGAD000201、 JGAD000220 |
| 寺尾 知可史 | A genome-wide association study identifies a locus associated with knee extension strength in older Japanese individuals | Communications Biology (doi:10.1038/s42003-024-06108-6) | 2024.5.20 | JGAD000123、 JGAD000124、 JGAD000144-JGAD000201、 JGAD000220、 JGAD000836、 JGAD000529 |
| Martin Hofmann-Apitius | Semantic Harmonization of Alzheimer’s Disease Datasets Using AD-Mapper | The Journal of Prevention of Alzheimer's Disease (doi:10.3233/JAD-240116) | 2024.5.15 | JGAD000051 |
| 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 |
| 岡田 随象 | Genetic drivers of heterogeneity in type 2 diabetes pathophysiology | Nature (doi:10.1038/s41586-024-07019-6) | 2024.3.14 | JGAD000012、 JGAD000018、 JGAD000101、JGAD000102、 JGAD000124、 JGAD000144-JGAD000201、 JGAD000220 |
| 菊地 正隆 | Polygenic effects on the risk of Alzheimer's disease in the Japanese population | Alzheimer's Research & Therapy (doi:10.1186/s13195-024-01414-x) | 2024.2.27 | JGAD000220 |
| 寺尾 知可史 | GWAS for systemic sclerosis identifies six novel susceptibility loci including one in the Fcγ receptor region | Nature Communications (doi:10.1038/s41467-023-44541-z) | 2024.1.31 | JGAD000123、 JGAD000124、 JGAD000144-JGAD000201、 JGAD000220、 JGAD000836、 JGAD000529 |
| 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 |
| Martin Hofmann-Apitius | Data-Driven Thresholding Statistically Biases ATN Profiling across Cohort Datasets | The Journal of Prevention of Alzheimer's Disease (doi:10.14283/jpad.2023.100) | 2024.1 | 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 |
| 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 | JGAD000235、 JGAD000277、 JGAD000302、 JGAD000320、 JGAD000321, JGAD000327, JGAD000328、 JGAD000329、 JGAD000330、 JGAD000345、 JGAD000385 |
| 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 |
| Ming-an Sun | Endogenous retrovirus-derived enhancers confer the transcriptional regulation of human trophoblast syncytialization | Nucleic Acids Research (doi:10.1093/nar/gkad109) | 2023.6.9 | JGAD000073、 JGAD000115、JGAD000121 |
| 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 |
| 岡田 随象 | Reconstruction of the personal information from human genome reads in gut metagenome sequencing data | Nature Microbiology (doi:10.1038/s41564-023-01381-3) | 2023.5.15 | JGAD000529 |
| 岡田 随象 | A genome-wide association study for allergen component sensitizations identifies allergen component-specific and allergen protein group-specific associations | The Journal of Allergy and Clinical Immunology: Global (doi:10.1016/j.jacig.2023.100086) | 2023.5 | JGAD000220 |
| 野口 恵美子 | A genome-wide association study for allergen component sensitizations identifies allergen component-specific and allergen protein group-specific associations | The Journal of Allergy and Clinical Immunology: Global (doi:10.1016/j.jacig.2023.100086) | 2023.5 | JGAD000220 |
| Ansuman Satpathy | Lineage tracing reveals clonal progenitors and long-term persistence of tumor-specific T cells during immune checkpoint blockade | Cancer Cell (doi:10.1016/j.ccell.2023.03.009) | 2023.4.10 | JGAD000597 |
| Ming-an Sun | Regulation of endogenous retrovirus–derived regulatory elements by GATA2/3 and MSX2 in human trophoblast stem cells | Genome Research (doi:10.1101/gr.277150.122) | 2023.2.17 | JGAD000073、 JGAD000115、JGAD000121 |
| Martin Hofmann-Apitius | Forecasting individual progression trajectories in Alzheimer’s disease | Nature Communications (doi:10.1038/s41467-022-35712-5) | 2023.2.10 | JGAD000051 |
| Ulf Leser | Transcriptomic Deconvolution of Neuroendocrine Neoplasms Predicts Clinically Relevant Characteristics | Cancers (doi:10.3390/cancers15030936) | 2023.2.1 | JGAD000336 |
| 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 |
| 堀田 紀久子 | Two differentially methylated region networks in nonalcoholic fatty liver disease, viral hepatitis, and hepatocellular carcinoma | BMC Gastroenterology (doi:10.1186/s12876-022-02360-4) | 2022.6.2 | JGAD000059 |
| 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 |
| 岡田 随象 | Decoding the diversity of killer immunoglobulin-like receptors by deep sequencing and a high-resolution imputation method | Cell Genomics (doi:10.1016/j.xgen.2022.100101) | 2022.3.9 | JGAD000123、JGAD000220 |
| 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 |
| 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 |
| Martin Hofmann-Apitius | Evaluating the Alzheimer's disease data landscape | Alzheimer's & Dementia (doi:10.1002/trc2.12102) | 2020.12.16 | JGAD000051 |
| 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 | JGAD000012、JGAD000124、 JGAD000144-JGAD000201 |
| 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 |
| 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 |
