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Leveraging diverse genomic data to guide equitable carrier screening: Insights from gnomAD v.4.1.0
Matthew J Schmitz1, Aryan Bashar2, Vishal Soman3
1Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
American Journal of Human Genetics
|November 30, 2024
Summary
This study analyzed over 700,000 exomes to identify genes for carrier screening of autosomal-recessive conditions. Findings provide an updated gene list for equitable genetic carrier screening across diverse populations.
Area of Science:
- Genomics
- Medical Genetics
- Population Genetics
Background:
- Carrier screening is crucial for reproductive partners to assess the risk of having children with autosomal-recessive conditions.
- Current guidelines recommend screening for genes with a carrier frequency of at least 1/200 and associated with moderate/severe conditions.
Purpose of the Study:
- To systematically analyze carrier frequencies of pathogenic/likely pathogenic variants in genes linked to autosomal-recessive disorders using gnomAD v.4.1.0 exome data.
- To identify an updated list of candidate genes for carrier screening panels that are equitable across diverse ancestral populations.
Main Methods:
- Analysis of over 700,000 exomes from gnomAD v.4.1.0 across eight ancestries.
- Estimation of carrier frequencies for pathogenic/likely pathogenic variants in 2,987 genes associated with autosomal-recessive conditions.
- Expert curation of identified genes for clinical severity and application of the American College of Medical Genetics and Genomics (ACMG) screening criteria.
Main Results:
- Identified 286 genes meeting the criteria for carrier screening based on carrier frequency and clinical severity.
- Carrier frequencies varied significantly across populations, with notable differences observed (e.g., 40 genes in South Asian vs. 119 in Ashkenazi Jewish ancestry).
- Simulations indicated that pan-ethnic screening panels are advantageous for individuals of diverse or admixed ancestry.
Conclusions:
- The study provides an updated, comprehensive candidate gene list for equitable carrier screening, leveraging the largest exome dataset to date.
- Findings underscore the importance of considering population-specific carrier frequencies for effective genetic screening.
- Emphasizes the need for expanded genomic resources, particularly for underrepresented groups, to improve rare disease risk assessment and screening efforts.
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