[HTML][HTML] Interpretation of mRNA splicing mutations in genetic disease: review of the literature and guidelines for information-theoretical analysis
The interpretation of genomic variants has become one of the paramount challenges in the
post-genome sequencing era. In this review we summarize nearly 20 years of research on …
post-genome sequencing era. In this review we summarize nearly 20 years of research on …
In silico prediction of splice-altering single nucleotide variants in the human genome
X Jian, E Boerwinkle, X Liu - Nucleic acids research, 2014 - academic.oup.com
In silico tools have been developed to predict variants that may have an impact on pre-
mRNA splicing. The major limitation of the application of these tools to basic research and …
mRNA splicing. The major limitation of the application of these tools to basic research and …
[HTML][HTML] Genomic signatures for paclitaxel and gemcitabine resistance in breast cancer derived by machine learning
SN Dorman, K Baranova, JHM Knoll, BL Urquhart… - Molecular …, 2016 - Elsevier
Increasingly, the effectiveness of adjuvant chemotherapy agents for breast cancer has been
related to changes in the genomic profile of tumors. We investigated correspondence …
related to changes in the genomic profile of tumors. We investigated correspondence …
Integrated analysis of genomic and transcriptomic data for the discovery of splice-associated variants in cancer
Somatic mutations within non-coding regions and even exons may have unidentified
regulatory consequences that are often overlooked in analysis workflows. Here we present …
regulatory consequences that are often overlooked in analysis workflows. Here we present …
Prioritizing Variants in Complete Hereditary Breast and Ovarian Cancer Genes in Patients Lacking Known BRCA Mutations
NG Caminsky, EJ Mucaki, AM Perri, R Lu… - Human …, 2016 - Wiley Online Library
ABSTRACT BRCA1 and BRCA2 testing for hereditary breast and ovarian cancer (HBOC)
does not identify all pathogenic variants. Sequencing of 20 complete genes in HBOC …
does not identify all pathogenic variants. Sequencing of 20 complete genes in HBOC …
Expression changes confirm genomic variants predicted to result in allele-specific, alternative mRNA splicing
Splice isoform structure and abundance can be affected by either noncoding or
masquerading coding variants that alter the structure or abundance of transcripts. When …
masquerading coding variants that alter the structure or abundance of transcripts. When …
Characterizing variants of unknown significance in rhodopsin: A functional genomics approach
A Wan, E Place, EA Pierce, J Comander - Human mutation, 2019 - Wiley Online Library
Characterizing the pathogenicity of DNA sequence variants of unknown significance (VUS)
is a major bottleneck in human genetics, and is increasingly important in determining which …
is a major bottleneck in human genetics, and is increasingly important in determining which …
Splicing mutation analysis reveals previously unrecognized pathways in lymph node-invasive breast cancer
Somatic mutations reported in large-scale breast cancer (BC) sequencing studies primarily
consist of protein coding mutations. mRNA splicing mutation analyses have been limited in …
consist of protein coding mutations. mRNA splicing mutation analyses have been limited in …
A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
EJ Mucaki, NG Caminsky, AM Perri, R Lu… - BMC Medical …, 2016 - Springer
Background Sequencing of both healthy and disease singletons yields many novel and low
frequency variants of uncertain significance (VUS). Complete gene and genome sequencing …
frequency variants of uncertain significance (VUS). Complete gene and genome sequencing …
SNPlice: variants that modulate Intron retention from RNA-sequencing data
Rationale: The growing recognition of the importance of splicing, together with rapidly
accumulating RNA-sequencing data, demand robust high-throughput approaches, which …
accumulating RNA-sequencing data, demand robust high-throughput approaches, which …