Detection of copy number variation by SNP-allelotyping.

Area of Science:

• Genetics
• Molecular Biology
• Neurology

Background:

• Charcot-Marie-Tooth disease type 1A (CMT1A) is a genetic peripheral neuropathy.
• CMT1A is characterized by a duplication on chromosome 17p12, leading to copy number variation (CNV).
• Altered DNA copy number is hypothesized to affect allele frequencies of single nucleotide polymorphisms (SNPs) within the duplicated region.

Purpose of the Study:

• To investigate the utility of SNP allele frequency analysis for CMT1A detection.
• To determine if Sequenom MassArray can accurately identify CMT1A-associated CNV through SNP frequency patterns.

Main Methods:

• Utilized Sequenom MassArray technology to determine SNP allele frequencies.
• Compared SNP allele frequency distributions between CMT1A patients and control individuals.
• Analyzed patterns to identify distinct genetic signatures associated with CMT1A.

Main Results:

• Observed distinct patterns in SNP allele frequency distribution between CMT1A patients and controls.
• Demonstrated that SNP allele frequency analysis reliably differentiates individuals with CMT1A.
• Confirmed the impact of the 17p12 duplication on SNP allele frequencies.

Conclusions:

• SNP allele frequency analysis using Sequenom MassArray is a viable method for CMT1A detection.
• This technique offers a potential alternative approach for identifying CNVs in genetic disorders.
• The findings support the use of SNP analysis for diagnosing CMT1A and potentially other CNV-related diseases.