Importance: In Huntington disease (HD), mutation severity is defined by the length of the CAG trinucleotide sequence, a well-known predictor of clinical onset age. The association with disease trajectory is less well characterized. Quantifiable summary measures of trajectory applicable over decades of early disease progression are lacking. An accurate model of the age-CAG association with early progression is critical to clinical trial design, informing both sample size and intervention timing. Objective: To succinctly capture the decades-long early progression of HD and its dependence on CAG repeat length. Design, setting, and participants: Prospective study at 4 academic HD treatment and research centers. Participants were the combined sample from the TRACK-HD and Track-On HD studies consisting of 290 gene carriers (presymptomatic to stage II), recruited from research registries at participating centers, and 153 nonbiologically related controls, generally spouses or friends. Recruitment was targeted to match a balanced, prespecified spectrum of age, CAG repeat length, and diagnostic status. In the TRACK-HD and Track-On HD studies, 13 and 5 potential participants, respectively, failed study screening. Follow-up ranged from 0 to 6 years. The study dates were January 2008 to November 2014. These analyses were performed between December 2015 and January 2019. Main outcomes and measures: The outcome measures were principal component summary scores of motor-cognitive function and of brain volumes. The main outcome was the association of these scores with age and CAG repeat length. Purpose: [18F]MK6240 was developed for PET imaging of tau aggregates, which are implicated in Alzheimer's disease. The goal of this work was to evaluate the kinetics of [18F]MK6240 and to investigate different strategies for in-vivo quantification of tau aggregates in humans. Methods: Thirty-five subjects, consisting of 18 healthy controls (CTRL), 11 subjects with mild cognitive impairment (MCI) and six with Alzheimer's Disease (AD), underwent dynamic [18F]MK6240 PET scans. Arterial blood measurements were collected in 16 subjects (eight CTRLs, six MCIs and two AD) to measure whole blood and plasma concentration time courses. Radiometabolite analysis was performed on a subset of plasma samples. Various compartmental model configurations as well as the Logan and multilinear analysis (MA1) graphical methods with arterial plasma input function were tested. Simplified reference tissue methods were investigated, including Logan distribution volume ratio (DVR), multilinear reference tissue method (MRTM2), and static SUV ratio using the cerebellum as a reference region. Results: Whole blood:plasma ratio stabilized to 0.66 ± 0.01 after 15 min. Percent parent in plasma (%PP) followed a single exponential and ranged from 0 to 10% at 90 min. [18F]MK6240 in gray matter peaked quickly (SUV > 2 at ~3 min). The preferred compartmental model was a reversible two-tissue compartment model, with the blood contribution included as a model parameter (2T4k1v). Compartmental and graphical analysis methods with arterial input functions yielded concordant results, but rapid metabolism raised challenges for blood-based quantification. MCI and AD subjects demonstrated a broad range of VT as compared to CTRL subjects. DVR from MRTM2 and Logan reference tissue methods correlated with DVR calculated indirectly from compartmental modeling, but underestimation was observed in data sets with very high binding (DVR > 3). SUVR also underestimated indirect DVR from blood-based analyses in high binding regions, although a non-linear relationship was exhibited. Conclusions: [18F]MK6240 exhibited a wide dynamic range of uptake, with binding patterns in MCI/AD subjects consistent with neurofibrillary tau deposition patterns. Linearized reference tissue methods using an estimated average tissue-to-plasma efflux constant [Formula: see text] and static SUVR agreed well with blood-based methods for most data sets; however, discrepancies were noted in the highest binding cases. Caution should therefore be exercised in application of simplified methods to such data sets, and in quantitative interpretation of corresponding outcomes.