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Incorporating primer bases improves variant calling accuracy in targeted amplicon sequencing. Retaining these bases avoids blind spots near amplicon boundaries, leading to more reliable variant detection.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Targeted amplicon sequencing presents unique challenges compared to random fragment sequencing.
  • Fixed read start positions in amplicon sequencing coincide with amplicon boundaries, causing misalignment issues.
  • Variants near amplicon boundaries can lead to inaccurate variant calls (false positives/negatives).

Purpose of the Study:

  • To identify and address blind spots in variant calling accuracy within targeted amplicon sequencing data.
  • To propose a strategy for improving variant calling accuracy by utilizing primer sequences.

Main Methods:

  • Analyzing targeted amplicon sequencing data.
  • Incorporating primer bases into read alignments and post-processing.
  • Evaluating the impact of primer base retention on variant calling accuracy.

Main Results:

  • Amplicon boundaries represent significant blind spots for accurate variant calling.
  • Including primer bases in read alignments effectively shifts these blind spots to primer binding regions.
  • Retaining and sequencing primer bases enhances the accuracy of targeted sequencing data analysis pipelines.

Conclusions:

  • Read bases extending beyond the variant site are crucial for accurate amplicon sequencing analysis.
  • Enzymatic primer digestion should preserve a few primer bases for data analysis.
  • Primer bases should be removed just before variant calling to ensure accurate variant detection across the entire amplicon.