
The Genetics Podcast EP 228: What genomes reveal about Epstein–Barr virus and human disease with Ryan Dhindsa and Caleb Lareau
Feb 26, 2026
Caleb Lareau, computational genomics PI studying the human virome and sequencing methods, and Ryan Dhindsa, population geneticist focused on rare variants and disease mechanisms, discuss extracting Epstein–Barr virus signals from human genomes. They cover rescuing viral reads from WGS, validating EBV persistence in UK Biobank, links to autoimmune conditions, extending methods to the broader virome, and design needs for diverse population genomics.
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Twitter DM Sparked Major EBV Collaboration
- Caleb Lareau initiated a collaboration with Ryan Dhindsa after a Twitter DM about related single-cell and population genetics observations.
- Their informal DM blossomed into a multi-year partnership that produced the EBV persistence study using biobank data.
Rescuing Viral Signal From Unmapped Reads
- Unmapped reads from human whole-genome sequencing can be remapped to viral genomes to create molecular traits like EBV latency.
- Caleb and Ryan validated their pipeline by correlating EBV-mapped reads with UK Biobank serology and other omics to confirm a true latent signal.
Mapping Quality Hid The True EBV Signal
- Naive counting of EBV-aligned reads gave a null correlation with serology due to repetitive elements and mapping artifacts.
- Cleaning repetitive 'junk' alignments and improving mapping quality revealed the true EBV persistence signal.
