K. Savage

Assessment of the variant prioritisation strategy for genomic newborn screening in the Generation Study

The paper assesses an automated variant prioritisation strategy for genomic newborn screening in the Generation Study, finding that 3-5% of samples require manual review and <1% need confirmatory testing.

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.

Age and Sex Differences in the Genetics of Cardiomyopathy

This study identifies genetic differences between pediatric and adult cardiomyopathy, finding more constrained variants in childhood cases and female patients.

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.

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.