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Within-host genetic variation provides insight into viral evolution during infection and may help infer transmission events. In this study, we analysed intra-host variation in SARS-CoV-2 genome sequences from Boston University\u2019s testing mandate. Focusing on intra-host single nucleotide variants (iSNVs), we inferred transmission events and assessed the selective forces shaping within-host viral evolution. To minimize false-positive iSNVs resulting from systematic biases, we implemented stringent data filtering and developed a heuristic to exclude contamination-derived artefacts arising from batched sequencing. We find that intra-host variation is limited and infrequently transmitted during acute infections, suggesting that shared iSNVs serve as highly specific but insensitive markers of transmission. We also observed incomplete purifying selection shaping within-host diversity, with the loci most affected changing among variants of concern. Finally, we identified a highly recurrent iSNV (G11083T) which may represent a site of positive selection. Our results highlight that within-host variation provides insight into within-host pathogen evolution, in spite of its limited use in genomic epidemiology.<\/jats:p>","DOI":"10.1099\/mgen.0.001784","type":"journal-article","created":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T16:15:58Z","timestamp":1788797758000},"source":"Crossref","is-referenced-by-count":0,"title":["SARS-CoV-2 intra-host variation shows evidence of transmission and convergent evolution in a university surveillance cohort"],"prefix":"10.1099","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-2322-6971","authenticated-orcid":false,"given":"L\u00e9a","family":"Cavalli","sequence":"first","affiliation":[{"name":"Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. 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