Human rhinoviruses (HRV) comprise 3 species representing more than 150 genotypes. As an important human respiratory pathogen, molecular detection is an indispensable tool for diagnosis and surveillance. However, the sequence diversity of HRV genotypes poses challenges for developing robust molecular methods that detect all genotypes with equal efficiencies. This study compares the accuracies of reverse transcription-quantitative PCR (RT-qPCR) and reverse transcription-digital PCR (RT-dPCR) for quantifying HRV RNA using genotype-specific primers and probes and a consensus primer/probe set targeting the 5= noncoding region of HRV. When using consensus primers and probes for the quantification of HRV, RT-dPCR outperformed RT-qPCR by consistently and accurately quantifying HRV RNAs across more genotype groups, despite the presence of up to 2 target-sequence mismatches within the primer or probe binding region. Because it does not rely on amplification efficiency, which can be affected by sequence mismatches in primer/probe binding regions, RT-dPCR may be the optimal molecular method for future HRV quantification studies and for quantitating other viruses with high sequence diversity.KEYWORDS human rhinovirus, digital PCR, qPCR H uman rhinoviruses (HRV) are important human respiratory pathogens that are small positive-sense RNA viruses within the family Picornaviridae. There are more than 150 genotypes of HRV that have been recognized within species A, B, and C of the genus Enterovirus (1). Molecular assays, such as reverse-transcription PCR (RT-PCR), are the most useful methods for detecting HRV in clinical samples (2-4). Most HRV RT-PCR assays target the conserved 5= noncoding region (NCR), which exhibits the greatest sequence homology among the HRV genotypes. However, even in the 5= NCR, consensus primer and probe sets must be designed with degenerate and modified bases or multiple oligonucleotides to amplify all HRV genotypes (5-7).Although qualitative detection of HRV by RT-PCR is currently sufficient for determining HRV infection, accurate quantification of HRV RNA in clinical samples is needed for studies associating HRV viral load with viral transmission and with patient symptoms and outcomes. Viral load studies of other respiratory viruses have shown that a correlation exists between viral load and disease severity (8-10). Accurate quantification of HRV will also be required for evaluating the performances of future antiviral drugs. Real-time RT-PCR assays, when accompanied by the amplification of standard curves (RT-qPCR), can be used to quantify the number of viral copies in a sample. However, RT-qPCR assays using quantification with a consensus HRV primer and probe set may not give accurate results for all genotypes due to amplification inefficiencies caused by base mismatches between the primer and probe sequences and the specific