Bioinformatics pipeline to guide late‐onset Alzheimer's disease (LOAD) post‐GWAS studies: Prioritizing transcription regulatory variants within LOAD‐associated regions

INTRODUCTION: As new late‐onset Alzheimer's disease (LOAD) genetic risk loci are identified and brain cell–type specific omics data becomes available, there is an unmet need for a bioinformatics framework to prioritize genes and variants for testing in single‐cell molecular profiling experiment...

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Detalles Bibliográficos
Autores principales: Lutz, Michael W., Chiba‐Falek, Ornit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864953/
https://www.ncbi.nlm.nih.gov/pubmed/35229021
http://dx.doi.org/10.1002/trc2.12244

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864953/
https://www.ncbi.nlm.nih.gov/pubmed/35229021
http://dx.doi.org/10.1002/trc2.12244

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