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dc.contributor.authorKondo, Takayukien
dc.contributor.authorYada, Yuichiroen
dc.contributor.authorIkeuchi, Takeshien
dc.contributor.authorInoue, Haruhisaen
dc.contributor.alternative近藤, 孝之ja
dc.contributor.alternative矢田, 祐一郎ja
dc.contributor.alternative井上, 治久ja
dc.date.accessioned2023-09-14T07:32:25Z-
dc.date.available2023-09-14T07:32:25Z-
dc.date.issued2023-03-
dc.identifier.urihttp://hdl.handle.net/2433/285098-
dc.description.abstractAlzheimer’s disease (AD) is a neurodegenerative disease that causes cognitive impairment for which neither treatable nor preventable approaches have been confirmed. Although genetic factors are considered to contribute to sporadic AD, for the majority of AD patients, the exact causes of AD aren’t fully understood. For AD genetics, we developed cellular dissection of polygenicity (CDiP) technology to identify the smallest unit of AD, i.e., genetic factors at a cellular level. By CDiP, we found potential therapeutic targets, a rare variant for disease stratification, and polygenes to predict real-world AD by using the real-world data of AD cohort studies (Alzheimer’s Disease Neuroimaging Initiative: ADNI and Japanese Alzheimer’s Disease Neuroimaging Initiative: J-ADNI). In this review, we describe the components and results of CDiP in AD, induced pluripotent stem cell (iPSC) cohort, a cell genome-wide association study (cell GWAS), and machine learning. And finally, we discuss the future perspectives of CDiP technology for reverse engineering of sporadic AD toward AD eradication.en
dc.language.isoeng-
dc.publisherSpringer Natureen
dc.rights© The Author(s) 2022en
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.subjectAlzheimer's diseaseen
dc.subjectGenome-wide association studiesen
dc.subjectInduced pluripotent stem cellsen
dc.titleCDiP technology for reverse engineering of sporadic Alzheimer’s diseaseen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleJournal of Human Geneticsen
dc.identifier.volume68-
dc.identifier.issue3-
dc.identifier.spage231-
dc.identifier.epage235-
dc.relation.doi10.1038/s10038-022-01047-8-
dc.textversionpublisher-
dc.identifier.pmid35680997-
dcterms.accessRightsopen access-
datacite.awardNumber21H02807-
datacite.awardNumber17K16121-
datacite.awardNumber20K16599-
datacite.awardNumber18K18452-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21H02807/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17K16121/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K16599/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18K18452/-
dc.identifier.pissn1434-5161-
dc.identifier.eissn1435-232X-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitle点鼻タウワクチンによる脳内免疫応答の解明とナノ粒子のベクター利用ja
jpcoar.awardTitle疾患特異的iPS細胞を用いた3次元創薬プラットフォームの構築ja
jpcoar.awardTitle患者アストロサイトを用いたアルツハイマー病病態の解明ja
jpcoar.awardTitleDeep learningによる神経変性画像解析の研究ja
出現コレクション:学術雑誌掲載論文等

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