Mutation

RASopathy Gene Mutations in Melanoma.

Next-generation sequencing of melanomas has unraveled critical driver genes and genomic abnormalities, mostly defined as occurring at high frequency. In addition, less abundant mutations are present that link melanoma to a set of disorders, commonly …

Germline MC1R status influences somatic mutation burden in melanoma.

The major genetic determinants of cutaneous melanoma risk in the general population are disruptive variants (R alleles) in the melanocortin 1 receptor (MC1R) gene. These alleles are also linked to red hair, freckling, and sun sensitivity, all of …

Mutadelic: mutation analysis using description logic inferencing capabilities.

MOTIVATION: As next generation sequencing gains a foothold in clinical genetics, there is a need for annotation tools to characterize increasing amounts of patient variant data for identifying clinically relevant mutations. While existing …

Exome sequencing identifies recurrent mutations in NF1 and RASopathy genes in sun-exposed melanomas.

We report on whole-exome sequencing (WES) of 213 melanomas. Our analysis established NF1, encoding a negative regulator of RAS, as the third most frequently mutated gene in melanoma, after BRAF and NRAS. Inactivating NF1 mutations were present in 46% …

Rare SF3B1 R625 mutations in cutaneous melanoma.

RNA splicing is the cellular process that has only recently been found to be an important target for various cancers. Among the spliceosome genes that are involved in cancers, SF3B1 is most frequently mutated. Recurrent mutation in codon 625 has been …

Identification of PLX4032-resistance mechanisms and implications for novel RAF inhibitors.

BRAF inhibitors improve melanoma patient survival, but resistance invariably develops. Here we report the discovery of a novel BRAF mutation that confers resistance to PLX4032 employing whole-exome sequencing of drug-resistant BRAF(V600K) melanoma …

Computational analysis in cancer exome sequencing.

Exome sequencing in cancer is a powerful tool for identifying mutational events across the coding region of human genes. Here, we describe computational methods that use exome sequencing reads from cancer samples to identify somatic single nucleotide …

Adjusting for background mutation frequency biases improves the identification of cancer driver genes.

A common goal of tumor sequencing projects is finding genes whose mutations are selected for during tumor development. This is accomplished by choosing genes that have more non-synonymous mutations than expected from an estimated background mutation …

Exome sequencing identifies recurrent somatic RAC1 mutations in melanoma.

We characterized the mutational landscape of melanoma, the form of skin cancer with the highest mortality rate, by sequencing the exomes of 147 melanomas. Sun-exposed melanomas had markedly more ultraviolet (UV)-like CtextgreaterT somatic mutations …

MicroRNA signatures differentiate melanoma subtypes.

Melanoma is an aggressive cancer that is highly resistance to therapies once metastasized. We studied microRNA (miRNA) expression in clinical melanoma subtypes and evaluated different miRNA signatures in the background of gain of function somatic and …