Novel, likely pathogenic variant in ATP7A associated with Menkes disease diagnosed with ultrarapid genome sequencing

Amy Backal1, Milen Velinov1, Jazmin Garcia1

  • 1Department of Pediatrics, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.

BMJ Case Reports
|October 1, 2024
PubMed

Insights

Menkes disease, a neurodegenerative disorder affecting copper metabolism, can now be diagnosed rapidly using ultrarapid whole genome sequencing. This DNA-based approach identifies ATP7A gene variants, enabling earlier treatment for better outcomes.

Area of Science:

  • Genetics
  • Neurodegenerative Diseases
  • Biochemistry

Background:

  • Menkes disease is a severe X-linked neurodegenerative disorder impacting copper metabolism.
  • Clinical diagnosis is often delayed due to variable presentation and reliance on symptoms like kinky hair and developmental regression.
  • The ATP7A gene is primarily implicated in Menkes disease.

Purpose of the Study:

  • To highlight the potential of ultrarapid whole genome sequencing for timely Menkes disease diagnosis.
  • To describe a case of Menkes disease diagnosed rapidly via whole genome sequencing.
  • To emphasize the clinical manifestations and pathophysiology of Menkes disease.

Main Methods:

  • Ultrarapid whole genome sequencing was employed for diagnosis.
  • Genetic analysis focused on identifying variants in the ATP7A gene.
  • Clinical data and pathophysiology were reviewed.

Main Results:

  • A novel, likely pathogenic, frameshift variant in the ATP7A gene was identified.
  • The genetic finding was consistent with a diagnosis of Menkes disease.
  • Preliminary diagnostic results were obtained within hours.

Conclusions:

  • Ultrarapid whole genome sequencing offers a significantly faster diagnostic pathway for Menkes disease compared to traditional methods.
  • Early diagnosis through genetic sequencing can lead to earlier intervention and potentially improved patient outcomes.
  • This case underscores the utility of advanced genomic technologies in diagnosing rare genetic disorders.

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