Publications by authors named "D Vitale"
Background/objectives: Genetic variants in PRSS1 encoding human cationic trypsinogen are associated with hereditary pancreatitis. The clinically frequent variants exert their pathogenic effect by increasing intrapancreatic trypsin activity, while a distinct subset of variants causes disease via mutation-induced trypsinogen misfolding and endoplasmic reticulum (ER) stress. Here, we report a novel misfolding PRSS1 variant.
View Article and Find Full Text PDFManagement of choledochoceles (type III choledochal cysts) in children varies. We highlight the potential role of endoscopic management of choledochoceles with cystostomy and biliary sphincterotomy through a series of three successfully treated pediatric patients aged 12-13 at our tertiary center. Patients presented with symptoms including abdominal pain and pancreatitis.
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- Copy Number Variations (CNVs) are crucial in understanding complex diseases and vary across different populations, necessitating large sample studies for accurate analysis.
- The CNV-Finder pipeline utilizes deep learning, specifically Long Short-Term Memory (LSTM) networks, to streamline the identification of CNVs in specific genomic areas, making subsequent analyses like genome sequencing more efficient.
- The tool has been validated with data from various cohorts, focusing on genes related to neurological diseases, and includes an interactive web application for researchers to visualize and refine their findings based on model predictions.
Article Synopsis
- Latin America's genetic diversity offers a unique opportunity to study Alzheimer's disease (AD) and frontotemporal dementia (FTD), with a focus on identifying related genetic variations.
- The study involved 2,162 participants from six countries who underwent extensive genomic sequencing and analysis to detect genetic factors linked to these dementias.
- Results highlighted a mix of American, African, and European ancestries, discovered 17 pathogenic variants, and revealed specific genetic variations tied to AD and FTD inheritance patterns in affected families.
GenoTools, a Python package, streamlines population genetics research by integrating ancestry estimation, quality control (QC), and genome-wide association studies (GWAS) capabilities into efficient pipelines. By tracking samples, variants, and quality-specific measures throughout fully customizable pipelines, users can easily manage genetics data for large and small studies. GenoTools' "Ancestry" module renders highly accurate predictions, allowing for high-quality ancestry-specific studies, and enables custom ancestry model training and serialization specified to the user's genotyping or sequencing platform.
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