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Step 3: Data Evaluation

Home > STR Data Analysis & Interpretation > Data Interpretation & Allele Calls > Step 3: Data Evaluation

The third step in the interpretation process is to assess the data from each sample. Laboratories take both qualitative and quantitative approaches to this assessment. Laboratory procedures should be based upon validation studies and provide a scientific foundation for data interpretation and reporting.

After determining if extraneous peaks interfere with interpretation, many laboratories assess the peak height percentages and determine the contribution from each donor in mixtures.

In order to use either of these estimations, the following should be established:

Peak Height Percentage

Under optimum conditions (sufficient quantity and quality of DNA), heterozygous peaks within a locus should be similar in height or intensity to each other. In general, heterozygous alleles have peak heights that are within 70% of each other, but laboratories should conduct validation studies to determine an appropriate peak height percentage for the method(s) used.

The peak height percentage for two heterozygous peaks is determined by dividing the peak height of the smaller peak by the peak height of the larger peak. The result is then expressed as a percentage, and is referred to as the peak height percentage.

example of peak calculations

Many things can affect heterozygous peak height percentages. Data from samples with low level and/or degraded DNA may have peak height percentages much lower than 70%. In addition, the composition of the muliplex, to inlcude the size of the multiplex, can affect the percentage. Laboratories should use their validation studies to determine an acceptable peak height percentage range for both single source and mixed DNA sample data interpretation.

Note:

The peak area can be used in place of peak height.

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