Estimating Y-STR Allelic Drop-Out Rates and Adjusting for Interlocus Balances

• NCJ Number: 246384
• Journal: Forensic Science International: Genetics Volume: 7 Issue: 3 Dated: May 2013 Pages: 327-336
• Author(s): Mikkel Meyer Andersen; Helle Smidt Mogensen; Poul Svante Eriksen; Jill Katharina Olofsson; Maria Asplund; Niels Morling
• Date Published: May 2013
• Length: 10 pages
• Publication Format: Article
• Publication Type: Report (Technical Assistance)
• Language: English
• Country: United States of America

Annotation

The researchers created a logistic regression model to estimate the probability of allele drop-out with the Life Technologies/Applied Biosystems AmpFlSTR Yfiler kit such that the trade-off between drop-outs and null alleles could be quantified using a statistical model.

Abstract

Y chromosome short tandem repeats (Y-STRs) are valuable genetic markers in certain areas of forensic case-work. However, when the Y-STR DNA profile is weak, the observed Y-STR profile may not be complete - i.e. locus drop-out may have occurred. Another explanation could be that the stain DNA did not have a Y-STR allele that was detectable with the method used (the allele is a 'null allele'). If the Y-STR profile of a stain is strong, one would be reluctant to consider drop-out as a reasonable explanation of lack of a Y-STR allele and would maybe consider 'null allele' as an explanation. On the other hand, if the signal strengths are weak, one would most likely accept drop-out as a possible explanation. The researchers created a logistic regression model to estimate the probability of allele drop-out with the Life Technologies/Applied Biosystems AmpFlSTR Yfiler kit such that the trade-off between drop-outs and null alleles could be quantified using a statistical model. The model to estimate the probability of drop-out uses information about locus imbalances, signal strength, the number of PCR cycles, and the fragment size of Yfiler. Researchers made two temporarily separated experiments and found no evidence of temporal variation in the probability of drop-out. Using their model, they found that for 30 PCR cycles with a 150 bp allele, the probability of drop-out was 1:5000 corresponding to the average estimate of the probability of Y-STR null alleles at a signal strength of 1249 RFU. This means that the probability of a null allele is higher than that of an allele drop-out at e.g. 4000 RFU and the probability of drop-out is higher than that of a null allele at e.g. 75 RFU. (Published Abstract)