Efficiency Analysis of Uncle-Nephew Relationship Identification by Increasing STR Markers and Adding Reference Samples.
10.12116/j.issn.1004-5619.2022.520407
- Author:
Qian-Qian KONG
1
;
Li-Qin CHEN
1
;
Cheng-Tao LI
1
;
Xi-Ling LIU
2
Author Information
1. Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot 010030, China.
2. Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Medicine, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
- Publication Type:Journal Article
- Keywords:
STR;
autosome;
forensic genetics;
system efficiency;
uncle-nephew relationship identification
- MeSH:
DNA;
DNA Fingerprinting;
Humans;
Microsatellite Repeats;
Polymerase Chain Reaction;
Siblings
- From:
Journal of Forensic Medicine
2022;38(3):360-366
- CountryChina
- Language:English
-
Abstract:
OBJECTIVES:To estimate the system efficiency of uncle-nephew relationship identification by increasing STR markers and adding reference samples based on the test results of simulated data and real samples, so as to provide references for selecting the appropriate number of STRs and reference samples for uncle-nephew relationship identification.
METHODS:Five common models of uncle-nephew relationship identification were constructed by adding different reference samples. In each model, the likelihood ratio (LR) for 10 000 pairs of uncle-nephew relationships and 10 000 pairs of unrelated individuals were simulated by detecting 19, 39 or 55 STRs, and the system efficiency at different thresholds was simulated. The samples of the Han population in Zhejiang were collected, and 55 autosomal STRs were obtained by using SiFaSTRTM 23plex kit, Goldeneye® DNA ID 22NC kit and AGCU 21+1 PCR amplification kit. When 19, 39 and 55 STRs were detected, the LR of each model and system efficiency under different thresholds were calculated and compared with the simulation results.
RESULTS:Under the same detection system, the calculated results of simulated data and corresponding true samples were basically consistent. In the same model, there was a positive correlation between the system efficiency of uncle-nephew relationship identification and the number of STRs detected. Moreover, the system efficiency of introducing relatives was higher than identifying only two individuals. The order of preference for the introduction of relatives was the full sibling (or mother) of the uncle and the full sibling (or mother) of the nephew.
CONCLUSIONS:The system efficiency of uncle-nephew relationship identification could be improved by increasing the number of STRs and introducing known relatives, which would provide the basis for selecting the most appropriate detection system and reference individuals in actual cases.
