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Emirati Genome Programme Vision Loss Breakthrough: Genetic Variations in Inherited Retinopathy Risk Identified

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The Groundbreaking Discovery in UAE Genomics Research

The Emirati Genome Programme (EGP) has achieved a significant milestone in understanding inherited retinal diseases (IRDs), a group of genetic conditions leading to progressive vision loss. By analyzing over 500,000 Emirati genomes linked to electronic health records (EHRs), researchers have identified how specific genetic variations influence the risk of IRDs, revealing that not all carriers develop the disease. This population-scale study, one of the largest of its kind globally, demonstrates penetrance rates often below 20% for many variants, challenging previous assumptions from smaller cohorts.

Inherited retinal diseases encompass disorders like retinitis pigmentosa, Stargardt disease, and Leber congenital amaurosis, affecting photoreceptor cells in the retina. In the UAE, where consanguinity rates hover around 50%, recessive IRDs are more prevalent, with estimates suggesting genetic eye disorders impact about 5% of the population—higher than in non-endogamous groups. The EGP's findings provide a 'national portrait' of IRD risk, enabling better risk assessment, variant reclassification, and preventive strategies tailored to Emiratis.

Emirati Genome Programme sequencing genomes for IRD research

Background on the Emirati Genome Programme

Launched in 2019 by the Department of Health – Abu Dhabi (DoH) in collaboration with M42 (a G42 healthcare company), the EGP aims to sequence one million Emirati genomes to map genetic diversity and advance precision medicine. To date, over 850,000 genomes have been sequenced, integrating WGS data (~30x depth) with EHRs via the Malaffi platform and reconstructed pedigrees for familial analysis. This resource supports national screening programs, pharmacogenomics, and disease prevention.

UAE universities play a crucial role. Khalifa University (KU) contributes to the Emirati Reference Genome Project, analyzing long-read sequencing and epigenetic data from 100,000 genomes. New York University Abu Dhabi (NYUAD)'s Center for Genomics and Systems Biology provides expertise in population genomics, while UAE University (UAEU)'s Khalifa Center for Genetic Engineering & Biotechnology advances genetic research relevant to arid-region health challenges. Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) aids AI-driven variant interpretation.

For more on higher ed jobs in UAE genomics, explore opportunities at these institutions driving national health innovation.

Methodology: Harnessing Population-Scale Data

The study screened 2,028 variants in 204 IRD-associated genes from ClinVar and RetNet across 504,000 genomes (426,382 with EHRs). Phenotypes were identified using ICD-10 codes for retinal disorders (H35), visual impairment (H54), and related conditions. Penetrance was calculated as the proportion of carriers with diagnoses, stratified by zygosity, inheritance, and age, using a 7-tier system (Tier 1: high penetrance ≥50% with ≥2 carriers).

  • Kinship inference reconstructed 52,615 families, highlighting consanguinity (mean inbreeding F=0.037).
  • Novel variants prioritized in 348 high-burden unsolved families via annotations (CADD>20, damaging predictions) and segregation.
  • Cross-cohort validation confirmed findings.

This rigorous, integrated approach—combining genomics, EHRs, and pedigrees—sets a model for consanguineous populations.Read the full preprint.

Key Findings: Low Penetrance and Risk Variability

Of 1,879 evaluable variants, only 96 showed high/complete penetrance (Tier 1-2) in 52 genes, suitable for clinical action. 36 variants had null penetrance, warranting reclassification. ABCA4 founder variants (c.5882G>A, c.2570T>C) displayed age-dependent penetrance: 7-8% compound het, 80% homozygous.

Unexpected heterozygous effects in autosomal recessive genes like USH2A suggested modifiers. Over 2,131 asymptomatic high-risk carriers and 1,013 families identified for monitoring. Penetrance rose with age (5.5% in ≥35 years).

Tiago Magalhães, VP Bioinformatics at M42, noted: “Genetics works in probabilities, not certainties.”

Reclassifying Variants of Uncertain Significance

Over 200 variants of uncertain significance (VUS) were re-evaluated; some harmless, others pathogenic based on Emirati data. This reduces overdiagnosis anxiety and optimizes counseling.

Budour Alkaf (M42): “Some variants causing concern turned out not harmful; others showed strong evidence.” UAE universities like KU aid in bioinformatics validation.

The National coverage.

Novel Variants and Actionable Discoveries

69 likely pathogenic variants in 34 families, 40 novel. Highlight: BBS12 stop-gain (chr4:122743596:G>A), 100% penetrance in homozygotes—new IRD link, with BBS therapies applicable. CYP27A1 variants flagged treatable CTX cases.

These discoveries underscore EGP's power for locus identification in founder-heavy populations.

Genetic variants analysis in Emirati Genome Programme for retinopathy

Implications for Precision Medicine and Public Health

Findings refine premarital screening, newborn testing, and therapy eligibility (e.g., Opus Genetics collaboration for MERTK RP). Enables proactive care for 2,000+ carriers, reducing vision loss burden.

Integrates with UAE's National Genome Strategy, positioning as genomics leader. Explore UAE academic opportunities.

UAE Universities Driving Genomics Innovation

Khalifa University leads EGP reference genome efforts, presenting at ASHG 2024 with DoH/M42. NYUAD's genomics center analyzes cohorts like UAE Healthy Future. UAEU's centers focus genetic engineering. MBZUAI accelerates AI variant calling; Birmingham Dubai aids data analysis.

These institutions train next-gen researchers, host EGP data hubs, fostering faculty positions in bioinformatics and genomics.

Challenges and Future Directions

Challenges: ICD coding gaps may underestimate penetrance; consanguinity amplifies recessive risks. Future: Longitudinal studies, multi-omics, gene therapies. EGP expansion to 1M genomes, university-led trials.

Stakeholders: DoH for policy, M42 for tech, universities for academia-industry synergy. Actionable: Genetic counseling programs at KU, NYUAD.

Career Opportunities in UAE Genomics Research

UAE's genomics boom offers roles in bioinformatics, genetic counseling at KU, NYUAD, UAEU. With EGP, demand surges for PhDs, postdocs in precision medicine. Check research assistant jobs, career advice.

Internal links: Rate professors in genomics depts.

Conclusion: A Vision for Healthier Futures

EGP's IRD breakthrough exemplifies UAE's leadership, blending health data with academic prowess. Expect transformative vision care, more discoveries. Explore university jobs, higher ed jobs, career advice, rate my professor, post a job.

DoH EGP page.
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Prof. Marcus BlackwellView author

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Frequently Asked Questions

🧬What is the Emirati Genome Programme?

The EGP sequences Emirati genomes to map genetic diversity for precision medicine.69

👁️How does EGP assess IRD risk?

By linking 504K genomes to EHRs, estimating penetrance of variants.

📊What penetrance rates were found?

<20% for many, age-dependent for ABCA4.

🏫Role of UAE universities?

KU, NYUAD, MBZUAI contribute analysis, AI, training. Jobs available.

🔬What are novel discoveries?

BBS12 variant, 69 candidates.

🩺Implications for patients?

Better screening, counseling, prevention.

🇦🇪Why higher in UAE?

Consanguinity ~50%, founder mutations.

💉Future gene therapies?

Opus collab for retinal RP.

💼Careers in UAE genomics?

Advice for bioinformatics roles at KU, NYUAD.

📚How to access EGP data?

Via DoH, universities for research.

🔢IRD prevalence UAE?

~5%, ABCA4 common.

Penetrance definition?

Probability a variant causes disease in carriers.