Genome interpretation using in silico predictors of variant impact
Estimating the effects of variants found in disease driver genes opens the door to
personalized therapeutic opportunities. Clinical associations and laboratory experiments …
personalized therapeutic opportunities. Clinical associations and laboratory experiments …
In silico methods for predicting functional synonymous variants
Single nucleotide variants (SNVs) contribute to human genomic diversity. Synonymous
SNVs are previously considered to be “silent,” but mounting evidence has revealed that …
SNVs are previously considered to be “silent,” but mounting evidence has revealed that …
Performance evaluation of differential splicing analysis methods and splicing analytics platform construction
K Li, T Luo, Y Zhu, Y Huang, A Wang… - Nucleic Acids …, 2022 - academic.oup.com
A proportion of previously defined benign variants or variants of uncertain significance in
humans, which are challenging to identify, may induce an abnormal splicing process. An …
humans, which are challenging to identify, may induce an abnormal splicing process. An …
Genetic evidence for involvement of β2-adrenergic receptor in brown adipose tissue thermogenesis in humans
Y Ishida, M Matsushita, T Yoneshiro, M Saito… - International Journal of …, 2024 - nature.com
Background Sympathetic activation of brown adipose tissue (BAT) thermogenesis can
ameliorate obesity and related metabolic abnormalities. However, crucial subtypes of the β …
ameliorate obesity and related metabolic abnormalities. However, crucial subtypes of the β …
[HTML][HTML] Nonsynonymous synonymous variants demand for a paradigm shift in genetics
M Vihinen - Current Genomics, 2023 - ncbi.nlm.nih.gov
Synonymous (also known as silent) variations are by definition not considered to change the
coded protein. Still many variations in this category affect either protein abundance or …
coded protein. Still many variations in this category affect either protein abundance or …
Effect predictor of driver synonymous mutations based on multi-feature fusion and iterative feature representation learning
N Cheng, C Bi, Y Shi, M Liu, A Cao… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Accurate identification of driver mutations is crucial in genetic studies of human cancers.
While numerous cancer driver missense mutations have been identified, research into …
While numerous cancer driver missense mutations have been identified, research into …
[HTML][HTML] Pathogenicity of intronic and synonymous variants of ATP7B in Wilson disease
WQ Xu, RM Wang, Y Dong, ZY Wu - The Journal of Molecular Diagnostics, 2023 - Elsevier
Wilson disease (WD) is a hereditary disorder of copper metabolism, resulting from mutations
within ATP7B. Early diagnosis is essential for affected individuals. However, there are still …
within ATP7B. Early diagnosis is essential for affected individuals. However, there are still …
Populational pan-ethnic screening panel enabled by deep whole genome sequencing
L Yang, Z Lin, Y Gao, J Zhang, H Peng, Y Li… - NPJ Genomic …, 2023 - nature.com
Birth defect is a global threat to the public health systems. Mitigating neonatal anomalies is
hampered by elusive molecular mechanisms of pathogenic mutations and poor subsequent …
hampered by elusive molecular mechanisms of pathogenic mutations and poor subsequent …
Prioritizing de novo potential non-canonical splicing variants in neurodevelopmental disorders
Background Genomic variants outside of the canonical splicing site (±2) may generate
abnormal mRNA splicing, which are defined as non-canonical splicing variants (NCSVs) …
abnormal mRNA splicing, which are defined as non-canonical splicing variants (NCSVs) …
[HTML][HTML] Deep mutational scanning in disease-related genes with saturation Mutagenesis-reinforced functional assays (SMuRF)
Interpretation of disease-causing genetic variants remains a challenge in human genetics.
Current costs and complexity of deep mutational scanning methods hamper crowd-sourcing …
Current costs and complexity of deep mutational scanning methods hamper crowd-sourcing …