Estimated birth prevalence of Menkes disease and ATP7A-related disorders based on the Genome Aggregation Database (gnomAD)

Autor: Stephen G. Kaler, Carlos R. Ferreira, Lung S. Yam
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Molecular Genetics and Metabolism Reports, Vol 24, Iss , Pp 100602- (2020)
Druh dokumentu: article
ISSN: 2214-4269
DOI: 10.1016/j.ymgmr.2020.100602
Popis: Background: Previous estimates of the prevalence of Menkes disease, a lethal X-linked recessive disorder of copper metabolism, were based on confirmed clinical cases ascertained from specific populations and varied from 1 in 40,000 to 1 in 354,507. With newly available population-based allelic frequencies of DNA sequence variants, the expected birth prevalence of Menkes disease and other ATP7A-related phenotypes can be reconsidered using Hardy-Weinberg theoretical principles. Methods: We reviewed the canonical ATP7A transcript in the current version of gnomAD (v2.1.1) to evaluate frequency of complete loss-of-function alleles in a diverse normal control population. As a comparator, we used the DMD locus, associated with Duchenne and Becker Muscular Dystrophy, another X-linked recessive trait. We applied Hardy-Weinberg theory and PolyPhen-2 in silico plus REVEL and CADD ensemble analyses to calculate estimated frequencies of normal and predicted deleterious ATP7A alleles. Results: We identified 1106 total ATP7A variants out of 205,523 alleles in gnomAD, with missense variants most common (43.4%). Complete loss-of-function variants were found in four ATP7A alleles (frequency = 0.0000194), including three frameshift/nonsense mutations and one canonical splice donor site defect. Assuming Hardy-Weinberg equilibrium, this frequency of pathogenic alleles predicts 1 in 34,810 live male births with Menkes disease or other ATP7A-related disorders each year in the US. The same analysis for DMD loss-of-function variants predicted 1 in 7246 newborn males with Duchenne (or Becker) muscular dystrophy. We also identified nine ATP7A missense variants in gnomAD predicted as deleterious by PolyPhen-2 and stringent REVEL/CADD criteria, comprising 12 more disease-causing alleles and raising the estimated birth prevalence to 1 in 8664 and predicting 225 newborns with Menkes disease or other ATP7A-related disorders per year in the US alone. Conclusions: Assuming Hardy-Weinberg equilibrium, the allelic frequency of deleterious ATP7A variants in a genomic database from a large diverse population predicts a birth prevalence of Menkes disease or ATP7A-related disorders as high as 1 in 8664 live male births. This genome-driven ascertainment of deleterious ATP7A alleles in the population implies a higher birth prevalence of Menkes disease and ATP7A-related conditions than previously appreciated. A population-based newborn screening pilot study for Menkes disease will be instrumental in confirming the prediction.
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