A5030173786- Genetic Associations and Epidemiology
- Functional Brain Connectivity Studies
- Health, Environment, Cognitive Aging
- Treatment of Major Depression
- Mental Health Research Topics
- Advanced Neuroimaging Techniques and Applications
- Bioinformatics and Genomic Networks
- Cognitive Abilities and Testing
- Diet and metabolism studies
- Tryptophan and brain disorders
- Pharmacogenetics and Drug Metabolism
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Health Systems, Economic Evaluations, Quality of Life
- Schizophrenia research and treatment
- Gut microbiota and health
- Radiomics and Machine Learning in Medical Imaging
- Attention Deficit Hyperactivity Disorder
- Liver Disease Diagnosis and Treatment
- Berberine and alkaloids research
- Phosphodiesterase function and regulation
- Genetic and phenotypic traits in livestock
- Research Data Management Practices
- Cancer Cells and Metastasis
- Bipolar Disorder and Treatment
Centre for Addiction and Mental Health
2021-2025
Cairo University
2022-2024
University of Cape Town
2017-2021
Abstract Variations in the human genome have been found to be an essential factor that affects susceptibility Alzheimer’s disease. Genome-wide association studies (GWAS) identified genetic loci significantly contribute risk of Alzheimers. The availability data, coupled with brain imaging technologies opened door for further discoveries, by using data integration methodologies and new study designs. Although methods proposed integrating image characteristics information studying Alzheimers,...
Abstract Background Our understanding of the interplay between genetic and environmental factors (Gene x Environment Interaction, or GxE) determining mental health disorders has improved through proliferation genome-wide interaction association studies (GWIAS) targeted GxE analyses. Moreover, multivariate modelling approaches, such as structural equation (SEM) polygenic risk scores (PRS), offer opportunities for integration clinical genotype data in building biopsychosocial models illness...
ObjectiveThe genetic architecture of antidepressant response is poorly understood. This study investigated whether polygenic risk scores (PRSs) for major psychiatric disorders and a personality trait (neuroticism) are associated with treatment outcomes.MethodsWe analysed 148 participants depressive disorder (MDD) from the Canadian Biomarker Integration Network Depression-1 (CAN-BIND-1) cohort. Participants initially received escitalopram (ESC) monotherapy 8 weeks. Nonresponders at week...
Abstract Pulmonary function is an indicator of well-being, and pulmonary pathologies are the third major cause death worldwide. We analysed UK Biobank genome-wide association summary statistics for Europeans individuals recent African descent to identify variants associated with trait in two ancestries. Here, we show 627 3 Africans three parameters. In addition 110 previously reported be phenotypes related function, 279 novel loci, including ISX intergenic variant rs369476290 on chromosome...
Researchers have long been presented with the challenge imposed by role of genetic heterogeneity in drug response. For many years, Pharmacogenomics and pharmacomicrobiomics has investigating influence an individual's background to response disposition. More recently, human gut microbiome proven play a crucial way patients respond different therapeutic drugs it shown that understanding composition microbiome, we can improve efficacy effectively identify targets. However, our knowledge on...
Introduction: Little is known regarding genetic factors associated with treatment outcome of psychotic depression. We explored genomic associations remission and relapse depression treated pharmacotherapy. Methods: Genomic analyses were performed in 171 men women aged 18–85 years an episode who participated the Study Pharmacotherapy Psychotic Depression II (STOP-PD II). Participants open-label sertraline plus olanzapine for up to 12 weeks; those achieved or near-remission maintained it...
Objectives Treatment-emergent sexual dysfunction is frequently reported by individuals with major depressive disorder (MDD) on antidepressants, which negatively impacts treatment adherence and efficacy. We investigated the association of polymorphisms in pharmacokinetic genes encoding cytochrome-P450 drug-metabolizing enzymes, CYP2C19 CYP2D6, transmembrane efflux pump, P-glycoprotein (i.e., ABCB1), treatment-emergent changes function (SF) satisfaction (SS) Canadian Biomarker Integration...
To better understand brain network disruption in Alzheimer disease (AD), advanced descriptors from genetics and neuroimaging can be useful. Combining those help to shed new lights on neurodegeneration related AD, since predicting changes is critically important for early treatment. We investigate correlation between global metrics known gene biomarkers AD. In practice, we construct connectivity networks using whole-brain tractography examine the longitudinal changes. a case-control setting,...
Networks are present in many aspects of our lives, and networks neuroscience have recently gained much attention leading to novel representations brain connectivity. The integration neuroimaging characteristics genetics data allows a better understanding the effects gene expression on structural functional connections. current work uses whole-brain tractography longitudinal setting, by measuring connectivity changes studies neurodegeneration Alzheimer's disease. This is accomplished...
Recent technological advances in high-throughput sequencing and genotyping have facilitated an improved understanding of genomic structure disease-associated genetic factors. In this context, simulation models can play a critical role revealing various evolutionary demographic effects on variation, enabling researchers to assess existing design novel analytical approaches. Although frameworks been suggested, they do not account for natural selection admixture processes. Most are tailored...
<b><i>Introduction:</i></b> The application of artificial intelligence (AI) algorithms in serous fluid cytology is lacking due to the deficiency standardized publicly available datasets. Here, we develop a novel public effusion dataset. Furthermore, apply AI on it test its diagnostic utility and safety clinical practice. <b><i>Methods:</i></b> work divided into three phases. Phase 1 entails building dataset based multitiered evidence-based...
Little is known about the interplay between genetics and epigenetics on antidepressant treatment (1) response remission, (2) side effects, (3) serum levels. This study explored relationship among single nucleotide polymorphisms (SNPs), DNA methylation (DNAm), mRNA levels of four pharmacokinetic genes,
Epigenetic modifications influence gene expression levels, impact organismal traits, and play a role in the development of diseases. Therefore, variants genes involved epigenetic processes are likely to be important disease susceptibility, frequency may vary between populations with African European ancestries. Here, we analyse an integrated dataset define frequencies, associated functional among individuals ancestry represented UK Biobank. We find that frequencies 88.4% significantly differ...
Abstract Background Late‐life depression (LLD) often coincides with cognitive decline, impacting antidepressant treatment outcomes. Investigating the genetic profile of function and its association response in individuals LLD is crucial. Method In Incomplete Response Late‐Life Depression: Getting to Remission (IRL‐GRey) study, 307 older adults major depressive disorder underwent 12‐week venlafaxine treatment. A genome‐wide study (GWAS) five domains using Repeatable Battery for Assessment...