Article

A catalogue of missense and nonsense mutation abundances for the U.S. cancer patient population

2026-04-22

Abstract excerpt

<h4>ABSTRACT</h4> Widespread genomic sequencing efforts have characterized the molecular foundations of the different cancers. By combining these genomic data in a manner proportional to the population-level abundances of these different cancers, we estimate the overall abundances of each observed missense and nonsense mutation within the U.S. cancer patient population. We find BRAF V600E (5.2%) is the most comm...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 912b9572-11ec-569b-ae34-c80460d3459d
DOI: 10.64898/2026.04.20.26351248

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A catalogue of missense and nonsense mutation abundances for the U.S. cancer patient populationDOI 10.64898/2026.04.20.26351248Read

The somatic mutation landscape of the human bodySemantic proximity Read

Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity.Semantic proximity Read

COSMIC: exploring the world's knowledge of somatic mutations in human cancer.Semantic proximity Read

The origins, determinants, and consequences of human mutations.Semantic proximity Read

Catalogue, cause, complexity and cure; the many uses of cancer genome sequence.Semantic proximity Read

SomaMutDB 2.0: A comprehensive database for exploring somatic mutations and their functional impact in normal human tissuesSemantic proximity Read

Cells with cancer‐associated mutations overtake our tissues as we ageSemantic proximity Read

Landscape of human protein-coding somatic mutations across tissues and individualsSemantic proximity Read

CHASMplus reveals the scope of somatic missense mutations driving human cancersSemantic proximity Read

Pan-Cancer Analyses Reveal Disparities in Tumor Genomic Profiles by Race/Ethnicity, Age, and SexSemantic proximity Read

Mutational landscape and significance across 12 major cancer types.Semantic proximity Read

COSMIC: High-Resolution Cancer Genetics Using the Catalogue of Somatic Mutations in Cancer.Semantic proximity Read