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Interpretation of Complex STR Data

Class Code: 

Subject Area:

Class Location: 
Jan Bashinski DNA Laboratory and CCI-Los Angeles
Class Description: 
This 2-day workshop is recommended for DNA analysts who currently process casework. We will discuss mixed DNA results, low copy number (LCN) results, and the statistics applied to them. The workshop will explore the different algorithms and software tools to assist in reviewing mixed samples often encountered in forensic STR casework. In addition, we will review the “SWGDAM Interpretation Guidelines for Autosomal STR Typing by Forensic DNA Testing Laboratories.” Thresholds and parameters will be determined by the class and applied to different results. The students will manually perform some of the more common calculations to include peak height ratios and donor ratios. Datasets with a defined mixture of male and female DNA will be available for the exercises. The workshop will focus on 2-person mixtures; mixtures of 3 and more individuals will also be discussed. This workshop is a combination of oral presentations and written exercises. The use of statistics for mixed results will be reviewed along with a survey of the scientific literature and experiences of mixed DNA results in the courtroom. Bring your calculator! Bring your case examples to share and discuss!
Dr. Rhonda Roby
Teaching Methods: 
Lecture, PowerPoint and Group Exercises.
• To develop an understanding of criteria used to evaluate challenging STR typing data such as complex DNA mixtures and compromised DNA samples exhibiting degradation and/or inhibition • To become familiar with the SWGDAM Interpretation Guidelines for Autosomal STR Typing • To understand statistical approaches used to determine the weight of the DNA evidence in complex STR profiles (CPE, CPI, LR, and RMP)
Experienced in interpreting STR profiles in forensic science.
Pre-course reading material may be assigned.
No cost to California public crime laboratory personnel. A $240.00 tuition fee is required for all other public agencies, private sector, or out of state applicants.

Course Contact:

Schedule of Classes:

No classes are scheduled at this time.

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