Timing of human immunodeficiency virus-1 (HIV-1) reservoir formation is important for informing HIV cure efforts. It is unclear how much of the variability seen in dating reservoir formation is due to sampling and gene-specific differences. We used a Bayesian extension of root to tip regression (bayroot) to reestimate formation date distributions in participants from Swedish and South African cohorts, and assessed the impact of variable timing, frequency, and depth of sampling on these estimates. Significant shifts in formation date distributions were only observed with use of faster-evolving genes, while timing, frequency, and depth of sampling had minor or no significant effect on estimates.
Keywords: bayroot; HIV; HIV cure; reservoir dating; viral reservoir.
Published by Oxford University Press on behalf of Infectious Diseases Society of America 2024.