Huw R. Morris

CNV-Finder: streamlining copy number variation discovery

Abstract Motivation Copy Number Variations (CNVs) play pivotal roles in complex disease etiology, often requiring large sample sizes to analyze disease associations. While genotyping arrays offer a cost-effective approach for CNV detection using Log R Ratio (LRR) and B Allele Frequency (BAF) signals, existing independent array-based callers suffer from high false positive rates and noise susceptibility, burdening manual validation. Results We present CNV-Finder, a deep learning pipeline employing Long Short-Term Memory (LSTM) networks for large-scale CNV identification within user-defined genomic regions. Trained on expert-annotated samples from the Global Parkinson’s Genetics Program across four neurodegenerative disease-associated genes (PRKN, LINGO2, MAPT, SNCA), CNV-Finder integrates human feedback to iteratively improve performance. In benchmarking across 105 936 samples spanning 11 ancestries and nearly 150 cohorts, the model achieved 91% and 89% visual confirmation rates for PRKN deletions and duplications at high-confidence thresholds. In two validation cohorts, CNV-Finder nominated 83% fewer candidates than a popular Hidden Markov Model-based caller while maintaining higher confirmation rates. Validation through MLPA, short-read, and long-read sequencing demonstrated robust performance, generalizing to diverse signatures including homozygous deletions and SNCA triplications absent from training. Our findings highlight human expertise’s value in complex loci like 17q21.31. Availability and implementation CNV-Finder is freely available at https://github.com/nvk23/CNV-Finder.

The LRRK2 G2019S variant rewires Rab GTPase phosphorylation after lysosomal damage and promotes cell death in human macrophages

ABSTRACT Variants in leucine-rich repeat kinase 2 (LRRK2) are the most common genetic cause of Parkinson's disease, yet how these variants alter immune cell function remains unclear. Because LRRK2 is activated by lysosomal damage in macrophages, we investigated how the pathogenic G2019S variant affects macrophage responses to lysosomal damage. Here, we show that LRRK2 G2019S has an effect during lysosomal damage through kinase-dependent and kinase-independent mechanisms. Phosphoproteomic analysis revealed that lysosomal damage induces selective rewiring of LRRK2-dependent Rab GTPase phosphorylation, characterised by increased Rab12 phosphorylation and reduced Rab35 phosphorylation without global kinase hyperactivation. Strikingly, LRRK2 G2019S macrophages showed increased susceptibility to apoptosis following lysosomal damage. This increase in cell death occurred independently of the kinase activity, indicating a distinct kinase-independent role of LRRK2 in regulating cell survival. We generated isogenic induced pluripotent stem cells from patients carrying the LRRK2 G2019S variant and confirmed that LRRK2 G2019S macrophages are more susceptible to cell death in a kinase-independent manner. Together, our findings support a model in which the LRRK2 G2019S variant selectively changes the phosphorylation of Rab GTPases in macrophages and increases cell death after lysosomal damage in macrophages.

Defining the underlying pathology of corticobasal syndrome using clinical features and biomarkers.