Genetic Disorders Research

Exploring the high incidence of genetic disorders in the UAE and understanding their cellular mechanisms, with the goal of better diagnosis and potential interventions.

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Background of the Issue

The UAE ranks sixth worldwide in terms of genetic diseases prevalence, with a concerning 75.9 birth defects per 1,000 births. A significant cause of this high incidence is the common practice of consanguineous marriages in the UAE.

Recessive Genetic Diseases Discovery

A devoted research team has identified over 400 recessive genetic disorders in the country. These disorders, some of which are unique to the UAE population, require in-depth study to understand their root causes at the molecular and cellular levels.

The Path Forward

Our project is geared towards expanding upon our initial discoveries. We are committed to achieving a comprehensive understanding of these genetic conditions to help the national population. By delving into the root causes, we aim to enhance diagnostic measures and potentially develop intervention strategies to alleviate the genetic disease burden in the UAE.

High incidence rate of birth defects in the UAE

UAE's position in the prevalence of genetic diseases worldwide

Number of identified recessive genetic diseases in the UAE.

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How We Plan To Solve Challenges

Recruitment Goal

We aim to identify and engage at least 300 families, where one or more members are affected by a suspected Mendelian condition, capturing about 10% of anticipated birth defects in the Emirati population over a span of five years.

Source of Data and Samples

We will procure data and samples from affected patients and their families primarily from three healthcare institutions: Tawam Hospital (Al Ain), Sheikh Khalifa Medical City (Abu Dhabi), and Fujairah Hospital.

Genetic Analysis and Identification

Genetic pedigrees of the families will be charted out. Utilizing advanced next-generation sequencing tools, we aim to pinpoint the causative genes and/or the specific genetic variants responsible for the conditions.

Understanding Pathogenesis

Our objective is to decipher the molecular and cellular pathogenesis related to the identified genetic variants. This will be done through the study of patient cells or by employing in-vitro cellular models.

Potential Therapy Evaluation

We will assess the potential remedial effects of certain FDA-approved compounds in treating various metabolic and lysosomal storage disorders. This evaluation is geared towards understanding the viability of existing compounds in therapy.

Projects

Natural History of GM1-gangliosidosis in Emirati patients

delves into the complex processes of protein cellular trafficking, specifically focusing on understanding the role and implications of misfolded proteins within the endoplasmic reticulum (ER), a critical aspect in several genetic diseases including cystic fibrosis and familial hypercholesterolemia. Through deep research, we aim to develop novel therapies targeting these intricate cellular processes.

Investigate the role of the ER-associated degradation (ERAD) pathway in the handling of misfolded proteins in single-gene disorders

Explore the recognition processes of luminal misfolded lesions of membrane proteins in the canonical ERAD pathway

Determine the functions of ERAD components such as SEL1, HRD, and Derlin 1 & 2 in managing membrane proteins with misfolded luminal lesions

Evaluate the potential of pharmacological inhibitors like Kifunensine and Eeyarestatin in restoring the functionality of membrane proteins with misfolded luminal lesions

Implementing Pharmacogenomics in Cardiovascular Disease Treatment in the UAE

The "EmHeart" project seeks to revolutionize the treatment of cardiovascular diseases in the UAE through the implementation of pharmacogenomics and precision medicine. By tailoring treatments based on individual genetic variations, we aim to enhance the efficacy, safety, and cost-effectiveness of therapies, thereby optimizing patient outcomes. This ongoing study analyzes the impact of genetic markers on drug response, paving the way for personalized healthcare in the UAE.

Launch of the "EmHeart" project to integrate pharmacogenomics into UAE healthcare settings, focusing on optimizing cardiovascular disease treatments

Execution of a prospective randomized controlled trial involving 1500 participants to compare standard and genomic-guided treatment approaches

Utilizing real-time PCR for genotyping of pharmacogenomic markers and translating results into actionable clinical recommendations according to CPIC guidelines

Initial findings from a pilot study indicating a significant percentage of the cohort benefiting from personalized drug recommendations, potentially altering the traditional approach to cardiovascular disease management in the UAE

Natural History of GM1-gangliosidosis in Emirati patients

aims to improve the understanding of the natural history of patients with GM1, living and deceased, concerning defined patient demographics, medical history, medical support, and clinical, laboratory, and genetic findings.

Gain further knowledge on the natural history of the clinical subtypes of GM1.

Define the GLB1 gene variants associated with the specific subtypes of GM1.

Determine genotype/phenotype correlations to better ascertain and define the GM1 clinical subtypes and predict rates of disease progression and disease severity.

Preclinical Assessment of Ambroxol: A Prerequisite for Safe Clinical Administration in Gaucher Disease Patients

aims to provide insights into ABX’s response in neuropathic and atypical GD patients’ fibroblast cells recruited from the metabolic clinic of Tawam Hospital to be administrated with a follow-up clinical plan.

Investigate the impact and molecular mechanisms of missense variants associated with neuronopathic Gaucher disease using patient fibroblast cells.

Evaluate the chaperoning effect of Ambroxol and its potential to rescue misfolded GCase enzymes in patients’ fibroblast cells.

Follow up on the patient’s clinical status after the ambroxol administration into their medication plan.

Families of inherited neurometabolic diseases

aims in uncovering the genetic basis of various IEMs prevalent in the region.

Patient clinical evaluation and description including phenotype, lab results, metabolic assessment, and/or neurological assessment.

Genetic pedigrees will be drawn, and causative genes and/or genetic variants will be identified using next-generation sequencing tools.

Perform pathogenicity assessment for the detected variant using different in-silico and modulation analyses.

Elucidate the molecular and cellular pathogenesis of the identified genetic variants using patient cells or in-vitro cellular models.

Retroviral vectors for gene therapy

Retroviruses are key in gene therapy, offering stable gene insertion for long-term expression, with over 500 clinical trials underway for diseases like β-thalassemia and cystic fibrosis. The UAE's focus is on developing next-generation, safe retroviral vectors, including "self-inactivating" types, to combat genetic diseases locally.

Develop next-generation “self-inactivating (SIN)” FIV and MMTV vectors.

Test the delivery of genes by these vectors into human line lines.

Test the delivery of genes by these vectors in animal models.

Families of inherited neurometabolic diseases

aims in uncovering the genetic basis of various IEMs prevalent in the region.

Patient clinical evaluation and description including phenotype, lab results, metabolic assessment, and/or neurological assessment.

Genetic pedigrees will be drawn, and causative genes and/or genetic variants will be identified using next-generation sequencing tools.

Perform pathogenicity assessment for the detected variant using different in-silico and modulation analyses.

Elucidate the molecular and cellular pathogenesis of the identified genetic variants using patient cells or in-vitro cellular models.

Available resources

We are in the process of gathering a comprehensive list of resources that will be instrumental in furthering research and development in the field of genetic disorders. Stay tuned for detailed information on databases, tools, and collaborations that will foster innovation and facilitate breakthroughs in understanding and treating genetic disorders.

Brain Imaging Core Technology Platform (CTP)

At the heart of our investigative efforts is the Brain Imaging CTP, furnished with a top-tier 3T Siemens MAGNETOM Prisma MRI scanner. This enables us to probe deeply into the brain's structure and functionality in a non-invasive manner.

Flywheel

To streamline our data management and analysis, we utilize Flywheel. It's a leading-edge biomedical data research and machine learning platform that fosters standardized data curation and analysis across our diverse projects.

High Performance Computing

In handling extensive neuroimaging data, we prioritize efficiency. That's why we have privileged access to NYU Abu Dhabi’s High-Performance Computing (HPC) cluster. This provides us with powerful supercomputer hardware and cloud services, propelling our data processing capabilities to new heights.

Flywheel

To streamline our data management and analysis, we utilize Flywheel. It's a leading-edge biomedical data research and machine learning platform that fosters standardized data curation and analysis across our diverse projects.

High Performance Computing

In handling extensive neuroimaging data, we prioritize efficiency. That's why we have privileged access to NYU Abu Dhabi’s High-Performance Computing (HPC) cluster. This provides us with powerful supercomputer hardware and cloud services, propelling our data processing capabilities to new heights.

Brain Imaging Core Technology Platform (CTP)

At the heart of our investigative efforts is the Brain Imaging CTP, furnished with a top-tier 3T Siemens MAGNETOM Prisma MRI scanner. This enables us to probe deeply into the brain's structure and functionality in a non-invasive manner.

Available resources

In the pursuit of understanding the complex mysteries of the brain, our Brain Health theme is powered by advanced technological resources. These facilities and platforms are indispensable tools that accelerate our innovative research and breakthrough discoveries.

Flywheel

To streamline our data management and analysis, we utilize Flywheel. It's a leading-edge biomedical data research and machine learning platform that fosters standardized data curation and analysis across our diverse projects.

High Performance Computing

In handling extensive neuroimaging data, we prioritize efficiency. That's why we have privileged access to NYU Abu Dhabi’s High-Performance Computing (HPC) cluster. This provides us with powerful supercomputer hardware and cloud services, propelling our data processing capabilities to new heights.

Brain Imaging Core Technology Platform (CTP)

At the heart of our investigative efforts is the Brain Imaging CTP, furnished with a top-tier 3T Siemens MAGNETOM Prisma MRI scanner. This enables us to probe deeply into the brain's structure and functionality in a non-invasive manner.

Education

Latest Publications

Stay informed with our recent advancements in research and discovery at APMAD. Our publications showcase the depth and breadth of our expertise, reflecting our dedication to pushing the boundaries of knowledge in genetic disorders. Delve into our latest contributions to the scientific community.

Molecular Genetic Discoveries

Pharmacological Advancements

Neurological Insights

Genetic Variability and Phenotypic Heterogeneity

Novel compound heterozygous mutation (c.971delA/c.542C>T) in SLC1A4 causes spastic tetraplegia, thin corpus callosum, and progressive microcephaly: a case report and mutational analysis

*Frontiers in Pediatrics

A Type 3 Gaucher-Like Disease Due To Saposin C Deficiency in Two Emirati Families Caused by a Novel Splice Site Variant in the PSAP Gene

*Journal of Molecular Neuroscience

The pharmacological chaperone N-n-butyl-deoxygalactonojirimycin enhances β-galactosidase processing and activity in fibroblasts of a patient with infantile GM1-gangliosidosis

*Human Genetics

A Novel Homozygous Missense Variant in the NAGA Gene with Extreme Intrafamilial Phenotypic Heterogeneity

*Journal of Molecular Neuroscience

Data WE use

Data

UAE Cardiovascular Disease Biobank

A biobank of > 1000 patients with cardiovascular disease from UAE. The biobank encompasses DNA, blood, plasma and blood cells samples from these patients in addition to their clinical data.

Data Process

Developing Protocol

Initiation of the protocol development to optimize acquisition and expedite the collection of the necessary multimodal imaging data.

Data Collection

Implementation of the protocol, enabling us to gather multimodal imaging data in under an hour.

Post-Processing Optimization

Utilization of advanced databasing and High-Performance Computing resources to integrate and optimize post-processing tools.

Generation of Imaging-Derived Biomarkers

Automatic generation of imaging-derived biomarkers for highly prevalent disorders in the UAE, such as diabetic retinopathy and multiple sclerosis.

our work

Data Science

Inspired by nature. Perfected by science.

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Growth over assembly

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Growth over assembly

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Nature-centric design

*Beratung für Data Science

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Collaborators

Department of Pediatrics, Columbia University, USA

Prof. Gustavo H. B. Maegawa

International Collaborator

Department of Paediatric Metabolic, Sheikh Khalifa Medical City, Abu Dhabi, UAE

Dr. Amal Al Tenaiji

Local and Regional Clinical Collaborator

Department of Pediatric, Metabolic, Tawam hospital, Al Ain, UAE

Dr. Aisha Al Shamsi

Local and Regional Clinical Collaborator

Department of Pediatric, Metabolic, Fujairah hospital, Fujairah, UAE

Dr. Nuha Al Zaabi

Local and Regional Clinical Collaborator

Department of Genetic and Developmental Medicine Clinic, Sultan Qaboos University Hospital, Muscat, Oman

Dr. Fathiya Al-Murshedi

Local and Regional Clinical Collaborator

Deputy Dean, College of Pharmacy, Al Ain University, UAE

Prof. Mohammad Ahmad Ghattas

Computational Lab Collaborator

Viral Ribonucleoprotein, Genome Incorporation & Assembly laboratory IBMC - CNRS - Université de Strasbourg

Dr. Roland Marquet

Co-PI

Team

Theme Directors

Dr. Fatma Al Jasmi

PLATFORM DIRECTOR, METABOLOMICS and THEME LEADER, GENETICS

Prof. Bassam Ali

Theme Co-Leader, Genetics

Prof. Tahir Rizvi

Genetics Theme - Professor in Microbiology & Immunology

Theme Members

Dr. Hiba Al-Blooshi

Platform Director, Biobank

Dr. Sally Badawi

Post-Doctoral Fellow

Dr. Nesrin Gariballa

Post-Doctoral Fellow

Miss Nesreen Alkhofash

PhD Student

Ms Besan Alsaafeen

PhD Student

Prof. Mohd Saberi Mohamad

Genetics Theme - Professor in Genetics and Genomics

Dr. Nadia Akawi

Genetics Theme - Associate Professor Genetics and Genomics

Dr. Noura Al Dharheri
Dr. Fatima Ismail
Dr. Aamna Al Shehhi
Dr. Praseetha Kizhakkedath
Mr. Ibrahim Baydoun
Dr. Feda E. Mohamed
Mr. Mohammed Tabouni
Fatema Al Shebli
Prof. Farah Mustafa

Co-investigator

Dr. Soumeya Jaballah

Postdoctoral Fellow

Ms. Thanumol Abdul Khader

Graduate (PhD) Student

Miss Alia AlMehrezi

Medical Research Specialist

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