This dissertation examines the statistical impact of next generation sequencing (NGS) technologies and the perceptions of their use within the forensic science community. The introduction of next generation sequencing (NGS) technologies adds a new dimension to the field, providing distinct advantages over traditional DNA profiling methods in terms of captured information. As a consequence, there is a need to re-evaluate existing statistical models and underlying parameters to facilitate DNA evidence evaluations for forensic sequence profiles. Chapter 1 provides sequence-based estimates of population genetic parameters, including population structure, relatedness, and inbreeding estimates for forensic autosomal markers. Chapter 2 demonstrates the effect of sequence data on match probabilities, a measure integral to DNA evidence evaluations. Chapter 3 presents the results of a qualitative study involving sixteen U.S.-based forensic scientists working with DNA evidence. The author believes these perspectives, along with statistical considerations as addressed in the other chapters, need to be taken into account to successfully implement sequencing methods for DNA evidence evaluations.