Emily Maguire, Jincy Winston, Sarah H Ellwood, Rachel O'Donoghue, Bethany Shaw, Atahualpa Castillo Morales, Samuel Keat, Alexandra Evans, Rachel Marshall, Lauren Luckcuck, Laura Brown, Elisa Salis, Ganna Leonenko, Nicola Denning, Nicholas D Allen, Valentina Escott-Price, Caleb Webber, Philip R Taylor, Rebecca Sims, Sally A Cowley, Julie Williams, Sarah M Carpanini, Hazel Hall-Roberts
{"title":"人类iPSC中高、低多基因风险的常见阿尔茨海默病建模:大规模研究资源。","authors":"Emily Maguire, Jincy Winston, Sarah H Ellwood, Rachel O'Donoghue, Bethany Shaw, Atahualpa Castillo Morales, Samuel Keat, Alexandra Evans, Rachel Marshall, Lauren Luckcuck, Laura Brown, Elisa Salis, Ganna Leonenko, Nicola Denning, Nicholas D Allen, Valentina Escott-Price, Caleb Webber, Philip R Taylor, Rebecca Sims, Sally A Cowley, Julie Williams, Sarah M Carpanini, Hazel Hall-Roberts","doi":"10.1016/j.stemcr.2025.102570","DOIUrl":null,"url":null,"abstract":"<p><p>Common forms of Alzheimer's disease (AD) are complex and polygenic. We have created a research resource that seeks to capture the extremes of polygenic risk in a collection of human induced pluripotent stem cell (iPSC) lines from over 100 donors: the IPMAR Resource (iPSC Platform to Model Alzheimer's Disease Risk). Donors were selected from a large UK cohort of 6,000+ research-diagnosed early or late-onset AD cases and elderly cognitively healthy controls, many of whom have lived through the age of risk for disease development (>85 years). We include iPSC with extremes of global AD polygenic risk (high-risk late-onset AD: 34; high-risk early-onset AD: 29; low-risk control: 27) as well as those reflecting complement pathway-specific genetic risk (high-risk AD: 9; low-risk controls: 10). All iPSC have associated clinical, longitudinal, and genetic datasets and will be available through collaboration or from cell (EBiSC) and data (DPUK) repositories.</p>","PeriodicalId":21885,"journal":{"name":"Stem Cell Reports","volume":" ","pages":"102570"},"PeriodicalIF":5.9000,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling common Alzheimer's disease with high and low polygenic risk in human iPSC: A large-scale research resource.\",\"authors\":\"Emily Maguire, Jincy Winston, Sarah H Ellwood, Rachel O'Donoghue, Bethany Shaw, Atahualpa Castillo Morales, Samuel Keat, Alexandra Evans, Rachel Marshall, Lauren Luckcuck, Laura Brown, Elisa Salis, Ganna Leonenko, Nicola Denning, Nicholas D Allen, Valentina Escott-Price, Caleb Webber, Philip R Taylor, Rebecca Sims, Sally A Cowley, Julie Williams, Sarah M Carpanini, Hazel Hall-Roberts\",\"doi\":\"10.1016/j.stemcr.2025.102570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Common forms of Alzheimer's disease (AD) are complex and polygenic. We have created a research resource that seeks to capture the extremes of polygenic risk in a collection of human induced pluripotent stem cell (iPSC) lines from over 100 donors: the IPMAR Resource (iPSC Platform to Model Alzheimer's Disease Risk). Donors were selected from a large UK cohort of 6,000+ research-diagnosed early or late-onset AD cases and elderly cognitively healthy controls, many of whom have lived through the age of risk for disease development (>85 years). We include iPSC with extremes of global AD polygenic risk (high-risk late-onset AD: 34; high-risk early-onset AD: 29; low-risk control: 27) as well as those reflecting complement pathway-specific genetic risk (high-risk AD: 9; low-risk controls: 10). All iPSC have associated clinical, longitudinal, and genetic datasets and will be available through collaboration or from cell (EBiSC) and data (DPUK) repositories.</p>\",\"PeriodicalId\":21885,\"journal\":{\"name\":\"Stem Cell Reports\",\"volume\":\" \",\"pages\":\"102570\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2025-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stem Cell Reports\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.stemcr.2025.102570\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL & TISSUE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stem Cell Reports","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.stemcr.2025.102570","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL & TISSUE ENGINEERING","Score":null,"Total":0}
Modeling common Alzheimer's disease with high and low polygenic risk in human iPSC: A large-scale research resource.
Common forms of Alzheimer's disease (AD) are complex and polygenic. We have created a research resource that seeks to capture the extremes of polygenic risk in a collection of human induced pluripotent stem cell (iPSC) lines from over 100 donors: the IPMAR Resource (iPSC Platform to Model Alzheimer's Disease Risk). Donors were selected from a large UK cohort of 6,000+ research-diagnosed early or late-onset AD cases and elderly cognitively healthy controls, many of whom have lived through the age of risk for disease development (>85 years). We include iPSC with extremes of global AD polygenic risk (high-risk late-onset AD: 34; high-risk early-onset AD: 29; low-risk control: 27) as well as those reflecting complement pathway-specific genetic risk (high-risk AD: 9; low-risk controls: 10). All iPSC have associated clinical, longitudinal, and genetic datasets and will be available through collaboration or from cell (EBiSC) and data (DPUK) repositories.
期刊介绍:
Stem Cell Reports publishes high-quality, peer-reviewed research presenting conceptual or practical advances across the breadth of stem cell research and its applications to medicine. Our particular focus on shorter, single-point articles, timely publication, strong editorial decision-making and scientific input by leaders in the field and a "scoop protection" mechanism are reasons to submit your best papers.