Chromosomal microarray interpretation: what is a child neurologist to do?

Area of Science:

• Pediatric Neurology
• Medical Genetics
• Developmental Biology

Background:

• Chromosomal microarray (CMA) is a key tool for evaluating pediatric neurologic developmental disorders.
• CMA is increasingly used for global developmental delay, intellectual disability, and autism spectrum disorders.
• Interpreting CMA results can be challenging for child neurologists.

Purpose of the Study:

• To provide a practical guide for child neurologists on interpreting CMA results.
• To present an algorithm for navigating various CMA testing scenarios.
• To propose a standardized system for ranking CMA data based on genotype-phenotype correlation evidence.

Main Methods:

• Review of current literature and clinical practices regarding CMA interpretation.
• Development of a decision-making algorithm for managing CMA results.
• Establishment of a tiered evidence-based system for genotype-phenotype correlation.

Main Results:

• CMA is central to diagnosing developmental disorders in children.
• A practical approach and algorithm are needed for interpreting complex CMA findings.
• Standardized ranking of array data enhances genotype-phenotype correlation understanding.

Conclusions:

• Child neurologists require practical guidance for interpreting complex CMA results.
• An algorithmic approach aids in managing diverse testing scenarios.
• A standardized system for ranking CMA data improves genotype-phenotype correlation assessment.