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STR Data Analysis and Interpretation for Forensic Analysts

Thresholds

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When the quantity of DNA being analyzed is very low, it may be difficult to distinguish true low-level peaks from technical artifacts, including noise. Consequently, most forensic laboratories have established peak-height thresholds for "scoring" alleles. Only if the peak height, expressed in relative fluorescence unit (RFU), exceeds a standard value will it be accepted.

Thresholds
National Institute of Justice (NIJ) (see reuse policy).

There are no firm rules for establishing threshold values. Each laboratory must set its own as part of its validation procedure. The threshold may be determined experimentally on the basis of observed signal-to-noise ratios, or may be set to a level established by manufacturers or published data. The threshold value will vary depending on many factors including the length of an injection, type of genetic analyzer used and type of STR kit used. Most crime laboratories set analytical thresholds in the range of 50-300 RFU. The lower threshold is a measure of the sensitivity of the procedure. Some laboratories establish both lower and upper thresholds for data interpretation, thereby establishing a window to interpret data.

A laboratory's threshold can be influenced by a variety of factors. For example, there are sensitivity differences between the types of instrumentation (e.g., capillary electrophoresis (CE) instruments and slab-gel instruments) and within any one type of instrument (e.g., between different ABI 310 instruments).

Many laboratories have noted the varying sensitivities of instruments, which tend to be more sensitive and have better resolution than gel-based systems. Some laboratories have established thresholds within their laboratory that vary depending on the sensitivity of the specific instrument.

The upper threshold is crucial when reviewing data from high quantity DNA samples. Samples with high quantities of amplified DNA will have high RFU values that can oversaturate the instrument's ability to detect the sample. This can lead to difficulty in interpretation because an accurate measurement with respect to the peak heights and/or areas may not be obtained. This can be especially problematic when working with mixed samples.

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