What are the benefits of using a mixture classification scheme as outlined in DNA Box 14.1? What would be the advantages of using software for deciphering mixture components?

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What are the benefits of using a mixture classification scheme as outlined in DNA Box 14.1? What would be the advantages of using software for deciphering mixture components?

D.N.A. Box 14.1 Mixture Classification Scheme from the German Stain
Commission
Several years ago the German Stain Commission, a group man not excluded" (RMNE). Type B mixtures can be decon-
of scientists from Germany's Institutes of Legal Medicine, voluted into the major and minor components, usually if
developed a three-part classification scheme for DNA mix- they are present with consistent peak-to-height ratios of
tures. Simple examples of what a Type A (no major contrib- approximately 4:1. The major component following decon-
utor), Type B (major and minor contributors distinguishable), volution can be treated as a single-source profile with a
or Type C (low-level DNA with stochastic effects) mixture random match probability (RMP) being calculated. For Type
C mixtures, where all alleles may not be seen due to allele
dropout, a biostatistical interpretation is not appropriate,
might look like at a single STR locus are shown below:
and a clear decision about whether to include or exclude a
suspect may be difficult to reach.
The DNA mixture in Figure 14.4(b) would be classified as
Турe A
Туре В
Туре С
a Type A mixture. Biostatistical analysis using the com-
bined probability of exclusion (CPE) for the mixture data in
Type A mixtures require a biostatistical analysis that can Figure 14.4 is shown in D.N.A. Box 14.2. A mixture classifi-
be performed with a likelihood ratio (LR) or combined prob- cation flowchart is shown below based on the three types
ability of exclusion (CPE), which is also known as 'random of mixtures.
Is the sample
a mixture?
>2 alleles
at a locus,
except tri-
allelics?
NO
Single Source
DNA Sample
Likelihood
Ratio [LR]
Determine STR profile
and compute RMP
YES
YES
Probability of
Exclusion [CPE]
"RMNE
Mixed DNA
NO
Assume #
Sample
Contributors?
Are # of
contributors
YES
defined?
Stochastic
Differentiate a
Major/Minor
Component?
NO
Effects?
NO
TYPE A
Possible Low
Level DNA?
A biostatistical analysis
must be performed
YES
YES
TҮРЕ В
TYPE C
Determino component profile(s)
and compute RMP for major
A biostatistical analysis
should not be performed
Source:
Schneider, P. M., et al. (2009). The German Stain Commission: Recommendations for the interpretation of mixed stains. International Joumal of
Legal Medicine, 123, 1-5. [Originally published in German in Rechtsmedizin (2006) 16: 401-404.].
Transcribed Image Text:D.N.A. Box 14.1 Mixture Classification Scheme from the German Stain Commission Several years ago the German Stain Commission, a group man not excluded" (RMNE). Type B mixtures can be decon- of scientists from Germany's Institutes of Legal Medicine, voluted into the major and minor components, usually if developed a three-part classification scheme for DNA mix- they are present with consistent peak-to-height ratios of tures. Simple examples of what a Type A (no major contrib- approximately 4:1. The major component following decon- utor), Type B (major and minor contributors distinguishable), volution can be treated as a single-source profile with a or Type C (low-level DNA with stochastic effects) mixture random match probability (RMP) being calculated. For Type C mixtures, where all alleles may not be seen due to allele dropout, a biostatistical interpretation is not appropriate, might look like at a single STR locus are shown below: and a clear decision about whether to include or exclude a suspect may be difficult to reach. The DNA mixture in Figure 14.4(b) would be classified as Турe A Туре В Туре С a Type A mixture. Biostatistical analysis using the com- bined probability of exclusion (CPE) for the mixture data in Type A mixtures require a biostatistical analysis that can Figure 14.4 is shown in D.N.A. Box 14.2. A mixture classifi- be performed with a likelihood ratio (LR) or combined prob- cation flowchart is shown below based on the three types ability of exclusion (CPE), which is also known as 'random of mixtures. Is the sample a mixture? >2 alleles at a locus, except tri- allelics? NO Single Source DNA Sample Likelihood Ratio [LR] Determine STR profile and compute RMP YES YES Probability of Exclusion [CPE] "RMNE Mixed DNA NO Assume # Sample Contributors? Are # of contributors YES defined? Stochastic Differentiate a Major/Minor Component? NO Effects? NO TYPE A Possible Low Level DNA? A biostatistical analysis must be performed YES YES TҮРЕ В TYPE C Determino component profile(s) and compute RMP for major A biostatistical analysis should not be performed Source: Schneider, P. M., et al. (2009). The German Stain Commission: Recommendations for the interpretation of mixed stains. International Joumal of Legal Medicine, 123, 1-5. [Originally published in German in Rechtsmedizin (2006) 16: 401-404.].
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