Publications by authors named "Jason Gilder"

Objective: To demonstrate the potential of de-identified clinical data from multiple healthcare systems using different electronic health records (EHR) to be efficiently used for very large retrospective cohort studies.

Materials And Methods: Data of 959 030 patients, pooled from multiple different healthcare systems with distinct EHR, were obtained. Data were standardized and normalized using common ontologies, searchable through a HIPAA-compliant, patient de-identified web application (Explore; Explorys Inc).

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When the smaller of two peaks at an STR locus is less than 70% the magnitude of the larger peak at that locus, the disparity is typically taken to be an indication that there is more than one contributor of template DNA to the sample being tested. An analysis of 1,763 heterozygous allele pairs suggests that a peak height imbalance threshold that varies with the magnitude of the peaks being evaluated at a locus is superior to a fixed threshold. Identifying samples that are likely to be mixtures and those that are likely to have arisen from a single source is accomplished more reliably when a statistically based, magnitude-dependent peak height imbalance threshold is used.

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STR-based DNA profiling is an exceptionally sensitive analytical technique that is often used to obtain results at the very limits of its sensitivity. The challenge of reliably distinguishing between signal and noise in such situations is one that has been rigorously addressed in numerous other analytical disciplines. However, an inability to determine accurately the height of electropherogram baselines has caused forensic DNA profiling laboratories to utilize alternative approaches.

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DNA profiling using STRs on the 310 and 3100 Genetic Analyzers routinely generates electropherograms that are analyzed with the GeneScan software available from the instrument's manufacturer, Applied Biosystems. Users have been able to choose from three different smoothing options that have been known to result in significant differences in the peak heights that are reported. Improvements in the underlying algorithm of the most recent version of the software also result in significant and somewhat predictable differences in peak height values.

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