首页> STAR protocols> Protocol to perform cell-type-specific transcriptome-wide association study using scPrediXcan framework.

Protocol to perform cell-type-specific transcriptome-wide association study using scPrediXcan framework.

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第一作者： Yichao,Zhou

第一单位： Committee of Genetic, Genomics, and Systems Biology, University of Chicago, Chicago, IL, USA.

作者： Yichao,Zhou ^[1] ; Sarah,Sumner ^[2] ; Temidayo,Adeluwa ^[1] ; Lisha,Zhu ^[2] ; Sofia,Salazar-Magaña ^[2] ; Hyunki,Kim ^[3] ; Saideep,Gona ^[1] ; Festus,Nyasimi ^[4] ; Rohit,Kulkarni ^[3] ; Joseph,Powell ^[5] ; Ravi,Madduri ^[6] ; Boxiang,Liu ^[7] ; Mengjie,Chen ^[8] ; Hae Kyung,Im ^[9]

作者单位： Committee of Genetic, Genomics, and Systems Biology, University of Chicago, Chicago, IL, USA. ^[1] Department of Medicine, Section of Genetic Medicine, University of Chicago, Chicago, IL, USA. ^[2] Department of Medicine, Harvard Medical School, Boston, MA, USA. ^[3] Department of Human Genetics, University of Chicago, Chicago, IL, USA. ^[4] UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney, NSW, Australia; Translational Genomics, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia. ^[5] Data Science and Learning Division, Argonne National Laboratory, Chicago, IL, USA. ^[6] Department of Pharmacy and Pharmaceutical Sciences, National University of Singapore, Singapore, Singapore. ^[7] Department of Medicine, Section of Genetic Medicine, University of Chicago, Chicago, IL, USA. Electronic address: mengjiechen@uchicago.edu. ^[8] Department of Medicine, Section of Genetic Medicine, University of Chicago, Chicago, IL, USA. Electronic address: haky@uchicago.edu. ^[9]

关键词 Bioinformatics Genetics gene expression genomics sequence analysis

医学主题词全基因组关联研究(Genome-Wide Association Study);人类(Humans);基因表达谱(Gene Expression Profiling);计算生物学(Computational Biology);软件(Software)

DOI 10.1016/j.xpro.2025.104306

PMID 41689808

发布时间 2026-03-27

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