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Full-Text Articles in Neuroscience and Neurobiology
Prediction Of Alzheimer’S Disease-Specific Phospholipase C Gamma-1 Snv By Deep Learning-Based Approach For High-Throughput Screening, Sung Hyun Kim, Sumin Yang, Key Hwan Lim, Euiseng Ko, Hyun Jun Jang, Mingon Kang, Pann Ghill Suh, Jae Yeol Joo
Prediction Of Alzheimer’S Disease-Specific Phospholipase C Gamma-1 Snv By Deep Learning-Based Approach For High-Throughput Screening, Sung Hyun Kim, Sumin Yang, Key Hwan Lim, Euiseng Ko, Hyun Jun Jang, Mingon Kang, Pann Ghill Suh, Jae Yeol Joo
Computer Science Faculty Research
© 2021 National Academy of Sciences. All rights reserved. Exon splicing triggered by unpredicted genetic mutation can cause translational variations in neurodegenerative disorders. In this study, we discover Alzheimer’s disease (AD)-specific single-nucleotide variants (SNVs) and abnormal exon splicing of phospholipase c gamma-1 (PLCγ1) gene, using genome-wide association study (GWAS) and a deep learning-based exon splicing prediction tool. GWAS revealed that the identified single-nucleotide variations were mainly distributed in the H3K27ac-enriched region of PLCγ1 gene body during brain development in an AD mouse model. A deep learning analysis, trained with human genome sequences, predicted 14 splicing sites in human PLCγ1 gene, …