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Full-Text Articles in Medicine and Health Sciences
Deep Learning Modeling M6a Deposition Reveals The Importance Of Downstream Cis-Element Sequences., Zhiyuan Luo, Jiacheng Zhang, Jingyi Fei, Shengdong Ke
Deep Learning Modeling M6a Deposition Reveals The Importance Of Downstream Cis-Element Sequences., Zhiyuan Luo, Jiacheng Zhang, Jingyi Fei, Shengdong Ke
Faculty Research 2022
The N6-methyladenosine (m6A) modification is deposited to nascent transcripts on chromatin, but its site-specificity mechanism is mostly unknown. Here we model the m6A deposition to pre-mRNA by iM6A (intelligent m6A), a deep learning method, demonstrating that the site-specific m6A methylation is primarily determined by the flanking nucleotide sequences. iM6A accurately models the m6A deposition (AUROC = 0.99) and uncovers surprisingly that the cis-elements regulating the m6A deposition preferentially reside within the 50 nt downstream of the m6A sites. The m6A enhancers mostly …
Svanna: Efficient And Accurate Pathogenicity Prediction Of Coding And Regulatory Structural Variants In Long-Read Genome Sequencing., Daniel Danis, Julius O B Jacobsen, Parithi Balachandran, Qihui Zhu, Feyza Yilmaz, Justin Reese, Matthias Haimel, Gholson J Lyon, Ingo Helbig, Christopher J Mungall, Christine R Beck, Charles Lee, Damian Smedley, Peter N Robinson
Svanna: Efficient And Accurate Pathogenicity Prediction Of Coding And Regulatory Structural Variants In Long-Read Genome Sequencing., Daniel Danis, Julius O B Jacobsen, Parithi Balachandran, Qihui Zhu, Feyza Yilmaz, Justin Reese, Matthias Haimel, Gholson J Lyon, Ingo Helbig, Christopher J Mungall, Christine R Beck, Charles Lee, Damian Smedley, Peter N Robinson
Faculty Research 2022
Structural variants (SVs) are implicated in the etiology of Mendelian diseases but have been systematically underascertained owing to sequencing technology limitations. Long-read sequencing enables comprehensive detection of SVs, but approaches for prioritization of candidate SVs are needed. Structural variant Annotation and analysis (SvAnna) assesses all classes of SVs and their intersection with transcripts and regulatory sequences, relating predicted effects on gene function with clinical phenotype data. SvAnna places 87% of deleterious SVs in the top ten ranks. The interpretable prioritizations offered by SvAnna will facilitate the widespread adoption of long-read sequencing in diagnostic genomics. SvAnna is available at https://github.com/TheJacksonLaboratory/SvAnn a …
Independent Dsg4 Frameshift Variants In Cats With Hair Shaft Dystrophy., Sarah Kiener, Ana Rostaher, Silvia Rüfenacht, Vidhya Jagannathan, John P Sundberg, Monika Welle, Tosso Leeb
Independent Dsg4 Frameshift Variants In Cats With Hair Shaft Dystrophy., Sarah Kiener, Ana Rostaher, Silvia Rüfenacht, Vidhya Jagannathan, John P Sundberg, Monika Welle, Tosso Leeb
Faculty Research 2022
Investigations of hereditary phenotypes in spontaneous mutants may help to better understand the physiological functions of the altered genes. We investigated two unrelated domestic shorthair cats with bulbous swellings of the hair shafts. The clinical, histopathological, and ultrastructural features were similar to those in mice with lanceolate hair phenotype caused by loss-of-function variants in Dsg4 encoding desmoglein 4. We sequenced the genomes from both affected cats and compared the data of each affected cat to 61 control genomes. A search for private homozygous variants in the DSG4 candidate gene revealed independent frameshift variants in each case, c.76del or p.Ile26fsLeu*4 in …