A large-scale dataset of single and mixed-source short tandem repeat profiles to inform human identification strategies: PROVEDIt

被引:58
作者
Alfonse, Lauren E. [1 ]
Garrett, Amanda D. [1 ]
Lun, Desmond S. [2 ,3 ,4 ]
Duffy, Ken R. [5 ]
Grgicak, Catherine M. [1 ,2 ,6 ]
机构
[1] Boston Univ, Sch Med, Biomed Forens Sci Program, Boston, MA 02215 USA
[2] Rutgers State Univ, Ctr Computat & Integrat Biol, Camden, NJ 08102 USA
[3] Rutgers State Univ, Dept Comp Sci, Camden, NJ 08102 USA
[4] Rutgers State Univ, Dept Plant Biol & Pathol, New Brunswick, NJ USA
[5] Maynooth Univ, Hamilton Inst, Maynooth, Kildare, Ireland
[6] Rutgers State Univ, Dept Chem, Sci Bldg Rm 306C,315 Penn St, Camden, NJ 08102 USA
关键词
Forensic DNA; PROVEDIt; STRs; Human identification; STR database; DNA MIXTURE INTERPRETATION; LOW-TEMPLATE; FORENSIC SAMPLES; QUANTITATIVE PCR; LIKELIHOOD RATIO; STR ANALYSIS; CONTRIBUTORS; NUMBER; DEGRADATION; VALIDATION;
D O I
10.1016/j.fsigen.2017.10.006
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
DNA-based human identity testing is conducted by comparison of PCR-amplified polymorphic Short Tandem Repeat (STR) motifs from a known source with the STR profiles obtained from uncertain sources. Samples such as those found at crime scenes often result in signal that is a composite of incomplete STR profiles from an unknown number of unknown contributors, making interpretation an arduous task. To facilitate advancement in STR interpretation challenges we provide over 25,000 multiplex STR profiles produced from one to five known individuals at target levels ranging from one to 160 copies of DNA. The data, generated under 144 laboratory conditions, are classified by total copy number and contributor proportions. For the 70% of samples that were synthetically compromised, we report the level of DNA damage using quantitative and end-point PCR. In addition, we characterize the complexity of the signal by exploring the number of detected alleles in each profile.
引用
收藏
页码:62 / 70
页数:9
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