Angela D. Hamblin

A gene pathogenicity tool 'GenePy' identifies missed biallelic diagnoses in the 100,000 Genomes Project

GenePy identifies potential missed biallelic diagnoses in the 100KGP by scoring variants and analyzing phenotypic overlaps, finding 14% of undiagnosed participants may have a missed diagnosis.

Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping

The paper introduces MuAt, a deep learning model that learns representations of somatic mutations to predict tumour types and subtypes with high accuracy.

Stretch-activated ion channel TMEM63B associates with developmental and epileptic encephalopathies and progressive neurodegeneration

This study identifies TMEM63B variants in patients with developmental and epileptic encephalopathy and neurodegeneration, showing altered cation currents and hematological abnormalities.

Targeting de novo loss of function variants in constrained disease genes improves diagnostic rates in the 100,000 Genomes Project

The paper introduces DeNovoLOEUF, a method to identify diagnostic variants in genome sequencing data, achieving 96% positive predictive value and uncovering 39 missed diagnoses in the 100,000 Genomes Project.

Mendelian gene identification through mouse embryo viability screening

The paper identifies novel Mendelian genes by analyzing mouse embryo lethality and linking them to human disease phenotypes and genetic variants.

An intermediate effect size variant in UMOD confers risk for chronic kidney disease

The paper identifies an intermediate-effect variant in UMOD associated with chronic kidney disease risk and shows it has reduced disease severity compared to canonical ADTKD mutations.

Whole genome sequencing delineates regulatory and novel genic variants in childhood cardiomyopathy

This study uses whole-genome sequencing to identify regulatory and novel genic variants contributing to childhood cardiomyopathy.

Dissecting mutational mechanisms underpinning signatures caused by replication errors and endogenous DNA damage

The paper identifies gene-specific mutational signatures caused by replication errors and endogenous DNA damage using CRISPR-Cas9 knockouts and whole-genome sequencing.

Human and mouse essentiality screens as a resource for disease gene discovery

The paper integrates gene essentiality data from human and mouse screens to classify genes into FUSIL categories, identifying developmental lethal genes associated with rare diseases.

Unraveling intratumoral heterogeneity through high-sensitivity single-cell mutational analysis and parallel RNA-sequencing

This study introduces TARGET-seq, a method that simultaneously detects mutations and performs RNA-sequencing in single cells, revealing transcriptional and genetic tumor heterogeneity in myeloproliferative neoplasm cells.