For our data snippet (again, high quality 30X coverage PCR-free 2x150 WGS), the effects of removing indel realignment are subtle. However, for data that deviate towards lower quality and for data that benefit greatly from BQSR, the effects could be more substantial. Given this, we ask researchers who are considering our new workflows to take into account properties of their data and consider the impact omitting indel realignment may have for their analyses. A first step towards this could be to examine the MAPQ distribution of the primary alignments.
To use IndelRealign if data quality is questionable, e.g., FFPE samples, libs with PCR-amp, low pass seq.