Publications by authors named "Leonard H"

Recently, a novel African ancestry specific Parkinson's disease (PD) risk signal was identified at the gene encoding glucocerebrosidase ( ). This variant (rs3115534-G) is carried by ∼50% of West African PD cases and imparts a dose-dependent increase in risk for disease. The risk variant has varied frequencies across African ancestry groups, but is almost absent in European and Asian ancestry populations.

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Background: Known pathogenic variants in Parkinson's disease (PD) contribute to disease development but have yet to be fully explored by arrays at scale.

Objectives: This study evaluated genotyping success of the NeuroBooster array (NBA) and determined the frequencies of pathogenic variants across ancestries.

Method: We analyzed the presence and allele frequency of 34 pathogenic variants in 28,710 PD cases, 9,614 other neurodegenerative disorder cases, and 15,821 controls across 11 ancestries within the Global Parkinson's Genetics Program dataset.

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Introduction: The clinical, research and advocacy communities for Rett syndrome are striving to achieve clinical trial readiness, including having fit-for-purpose clinical outcome assessments. This study aimed to (1) describe psychometric properties of clinical outcome assessment for Rett syndrome and (2) identify what is needed to ensure that fit-for-purpose clinical outcome assessments are available for clinical trials.

Methods: Clinical outcome assessments for the top 10 priority domains identified in the Voice of the Patient Report for Rett syndrome were compiled and available psychometric data were extracted.

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Background: Information on the hospital service use among individuals with CDKL5 Deficiency Disorder, an ultrarare developmental epileptic encephalopathy, is limited, evidence of which could assist with service planning. Therefore, using baseline and longitudinal data on 379 genetically verified individuals in the International CDKL5 Disorder Database, we aimed to investigate rates of seizure-related and other hospitalizations and associated length of stay in this cohort.

Methods: Outcome variables were lifetime count of family-reported hospitalizations and average length of stay both for seizure- (management and/or investigative) and non-seizure-related causes.

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Objective: To evaluate the associations between complex hip surgery and subsequent hospitalizations in children with intellectual disability, including a subset of children with cerebral palsy.

Study Design: We conducted a retrospective cohort study using linked administrative, health, and disability data from Western Australia. Children born between 1983 and 2009 who underwent complex hip surgery by end 2014 were included (intellectual disability, n = 154; subset with cerebral palsy, n = 91).

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Recently, an African ancestry-specific Parkinson disease (PD) risk signal was identified at the gene encoding glucocerebrosidase (GBA1). This variant ( rs3115534 -G) is carried by ~50% of West African PD cases and imparts a dose-dependent increase in risk for disease. The risk variant has varied frequencies across African ancestry groups but is almost absent in European and Asian ancestry populations.

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Article Synopsis
  • Accelerated decline in lung function is linked to chronic respiratory diseases, and while genetics play a role, few genetic connections have been found.
  • This study aimed to investigate genetic variants associated with lung function decline using genome-wide association studies (GWAS) across diverse populations in multiple cohorts.
  • They identified 361 significant genetic variants potentially related to lung function declines, with some replicated in additional cohorts, indicating strong genetic influences on respiratory health.
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  • - The study highlights the complexity of Alzheimer's disease and related dementias, emphasizing the need to understand genetic and environmental factors that vary across different ancestries for personalized treatment approaches.
  • - Utilizing large-scale biobank data, the research characterized genetic variants associated with Alzheimer's across 11 ancestries, identifying 116 potentially linked variants, including 18 known pathogenic ones and 98 new variants.
  • - The findings revealed significant ancestry-driven differences in disease risk, including a higher presence of ε4/ε4 carriers in African ancestries, suggesting the importance of considering genetics in diverse populations to enhance understanding and treatment of AD/ADRDs.
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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.
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  • 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.
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  • GenoTools is a Python package designed to simplify population genetics research by integrating key functions like ancestry estimation, quality control, and genome-wide association studies into streamlined pipelines.
  • It allows users to track samples and variants across customizable processes, making it easier to handle genetics data for studies of any size.
  • The tool is utilized in major initiatives like the NIH's Alzheimer's program and has successfully processed vast datasets, contributing to new discoveries and ensuring reliable ancestry predictions and robust quality control in genetic studies.
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  • - The paper explores using Large Language Models (LLMs) to streamline data wrangling and automate tasks in data discovery and harmonization, crucial for making biomedical data AI-ready by developing Common Data Elements (CDEs).
  • - A human-in-the-loop approach was utilized to ensure the accuracy of generated CDEs from various studies and databases, achieving a high accuracy rate where 94.0% of fields required no manual changes, with an interoperability mapping rate of 32.4%.
  • - The resulting CDEs are designed to improve dataset compatibility by measuring how well different data sources align with these standards, ultimately enhancing the efficiency and scalability of biomedical research efforts.
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Unlabelled: R2R3-MYBs are an important group of transcription factors that regulate crucial developmental processes across the plant kingdom; yet no comprehensive analysis of the R2R3-MYBs in the early-diverging eudicot clade of Ranunculaceae has been conducted so far. In the present study,  is chosen to understand the extent of conservation and divergence of R2R3-MYBs as a representative of the family by analysing the genomic distribution, organization, gene structure, physiochemical properties, protein architecture, evolution and possible mode of expansion. Genome-wide analysis showed the presence of 82 putative homologues classified into 21 subgroups, based on phylogenetic analysis of full-length protein sequences.

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Introduction: Rett syndrome (RTT) is a rare neurodevelopmental disorder with developmental impairments, comorbidities, and abnormal behaviours such as hand stereotypies and emotional features. The Rett Syndrome Behaviour Questionnaire (RSBQ) was developed to describe the behavioural and emotional features of RTT. Little is known how RSBQ scores are associated with genetic and clinical characteristics in RTT.

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Pathogenic variants in the gene represent the most common cause of autosomal dominant Parkinson's disease (PD) worldwide. We identified the p.L1795F variant in 14 White/European ancestry PD patients, including two families with multiple affected carriers and seven additional affected individuals with familial PD using genotyping and sequencing data from more than 50,000 individuals through GP2, AMP-PD, PDGENEration, and CENTOGENE.

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Alzheimer's disease (AD) and Parkinson's disease (PD) are influenced by genetic and environmental factors. Using data from UK Biobank, SAIL Biobank, and FinnGen, we conducted an unbiased, population-scale study to: 1) Investigate how 155 endocrine, nutritional, metabolic, and digestive system disorders are associated with AD and PD risk prior to their diagnosis, considering known genetic influences; 2) Assess plasma biomarkers' specificity for AD or PD in individuals with these conditions; 3) Develop a multi-modal classification model integrating genetics, proteomics, and clinical data relevant to conditions affecting the gut-brain axis. Our findings show that certain disorders elevate AD and PD risk before AD and PD diagnosis including: insulin and non-insulin dependent diabetes mellitus, noninfective gastro-enteritis and colitis, functional intestinal disorders, and bacterial intestinal infections, among others.

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Background: CDKL5 deficiency disorder (CDD) is an early-onset developmental and epileptic encephalopathy. While a subset of individuals is believed to experience comorbid behavioral disorders, none have reported well-defined affective disorders. Though there is a documented association between epilepsy and mood disorders, they may go undetected in the CDD population due to difficulty assessing mood in the presence of severe/profound intellectual disability and disease-related sleep dysregulation.

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  • Epithelioid hemangioendothelioma (EHE) is difficult to treat with traditional chemotherapy, prompting researchers to explore new therapies such as sirolimus and identify biomarkers for tumor aggressiveness.
  • Scientists created a patient-derived xenograft (PDX) model from an advanced EHE patient to test sirolimus and to study serum levels of Growth/Differentiation Factor 15 (GDF-15) as a potential biomarker.
  • The results indicated sirolimus was more effective than doxorubicin in reducing tumor growth and GDF-15 levels, establishing GDF-15 as a promising biomarker for EHE aggressiveness and potentially indicating the effectiveness of sirolimus in patients.
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Background: Commercial genome-wide genotyping arrays have historically neglected coverage of genetic variation across populations.

Objective: We aimed to create a multi-ancestry genome-wide array that would include a wide range of neuro-specific genetic content to facilitate genetic research in neurological disorders across multiple ancestral groups, fostering diversity and inclusivity in research studies.

Methods: We developed the Illumina NeuroBooster Array (NBA), a custom high-throughput and cost-effective platform on a backbone of 1,914,934 variants from the Infinium Global Diversity Array and added custom content comprising 95,273 variants associated with more than 70 neurological conditions or traits, and we further tested its performance on more than 2000 patient samples.

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Pathogenic variants in the cyclin-dependent kinase-like 5 (CDKL5) gene are associated with CDKL5 deficiency disorder (CDD), a severe X-linked developmental and epileptic encephalopathy. Deletions affecting the 5' untranslated region (UTR) of CDKL5, which involve the noncoding exon 1 and/or alternatively spliced first exons (exons 1a-e), are uncommonly reported. We describe genetic and phenotypic characteristics for 15 individuals with CDKL5 partial gene deletions affecting the 5' UTR.

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Objective: The CDKL5 Clinical Severity Assessment (CCSA) is a comprehensive, content-validated measurement tool capturing the diverse challenges of cyclin-dependent kinase-like 5 (CDKL5) deficiency disorder (CDD), a genetically caused developmental epileptic encephalopathy (DEE). The CCSA is divided into clinician-reported (CCSA-Clinician) and caregiver-reported (CCSA-Caregiver) assessments. The aim of this study was to evaluate the factor structure of these measures through confirmatory factor analysis (CFA) and evaluate their validity and reliability.

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Background: Communication impairments are a leading concern for parent caregivers of individuals with rare neurodevelopmental disorders (RNDDs). Clinical trials of disease modifying therapies require valid and responsive outcome measures that are relevant to individuals with RNDDs. Identifying and evaluating current psychometric properties for communication measures is a critical step towards the selection and use of appropriate instruments.

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Article Synopsis
  • Rett syndrome (RTT) is a serious neurodevelopmental disorder primarily affecting females, leading to various neurologic impairments that significantly lower quality of life for both individuals and their caregivers.
  • An international collaboration developed a caregiver questionnaire based on literature and parent interviews to assess 22 common issues related to RTT, using a 5-level Likert scale and anonymously surveying 756 caregivers.
  • Results showed that communication and motor impairments were the most frequent and impactful issues, with analyses indicating that the severity of problems often exceeded the perceived impact on both patients and caregivers.
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  • Epithelioid hemangioendothelioma (EHE) is a rare type of cancer with unique features, but its natural history and best treatment practices are not well understood.
  • The EURACAN project has created a registry to gather prospective data on newly diagnosed EHE patients to enhance understanding of the disease.
  • The study will involve collecting comprehensive patient data from specialized hospitals to identify prognostic factors, treatment efficacy, and to monitor the disease's progression and outcomes over time.
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  • * Our research included looking at both common and rare gene variants connected to the NLRP3 inflammasome, as well as assessing the potential effects of related cytokines (IL-1β and IL-18) on PD.
  • * The results showed no significant link between NLRP3 variations and PD, suggesting that the NLRP3 inflammasome may not be a viable target for treatment or play a role in the disease's development.
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