Mutation detection using automated fluorescence-based sequencing.

Area of Science:

• Genomics and Molecular Biology
• Medical Genetics
• Bioinformatics

Background:

• High-throughput DNA sequencing enables rapid and cost-effective identification of genetic polymorphisms.
• These polymorphisms can be crucial in understanding disease mechanisms.
• DNA sequencing readily detects point mutations and small insertions/deletions, but distinguishing homozygosity from large deletions requires careful analysis.

Purpose of the Study:

• To present strategies for identifying sequence variation using Polymerase Chain Reaction (PCR) amplification and automated fluorescence-based sequencing.
• To provide a high-throughput protocol applicable to mutation searching across numerous genes.

Main Methods:

• Utilizing PCR amplification of genomic DNA followed by automated fluorescence-based DNA sequencing.
• Implementing strategies to manage data and select appropriate software tools for sequence variation analysis.
• A high-throughput protocol developed and applied at the Harvard Medical School - Partners Center for Genetics and Genomics (HPCGG).

Main Results:

• Demonstrated the capability of the protocol to identify heterozygous and homozygous mutations.
• Successfully applied the high-throughput method to search for mutations in over 200 genes.
• Established a framework for sequence variation identification adaptable to project scope and laboratory resources.

Conclusions:

• Automated fluorescence-based sequencing coupled with PCR is a powerful tool for detecting genetic variations.
• The presented high-throughput protocol offers an efficient approach for large-scale mutation discovery in diverse genes.
• Careful consideration of potential allelic loss (e.g., large deletions) is necessary when interpreting sequencing data for homozygosity.