Application of ITO Method in Determination of Special Half-Sibling Relationship.
10.12116/j.issn.1004-5619.2020.500712
- Author:
Cheng-Chen SHAO
1
;
Yi-Ning YAO
1
;
Yue-Qin ZHOU
1
;
Zhi-Ping LIU
1
;
Hong-Mei XU
1
;
Jian-Hui XIE
1
;
Kuan SUN
1
Author Information
1. Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
- Publication Type:Journal Article
- Keywords:
ITO method;
first cousin index;
forensic genetics;
half-sibling index;
likelihood ratio;
short tandem repeat (STR);
sibling relationship
- MeSH:
Alleles;
DNA Fingerprinting;
Family;
Genetic Markers;
Genotype;
Humans;
Microsatellite Repeats;
Siblings
- From:
Journal of Forensic Medicine
2021;37(6):836-840
- CountryChina
- Language:English
-
Abstract:
OBJECTIVES:To identify whether the relationship between Zhang A, Zhang B, Zhang C and Zhang X is the half-sibling relationship whose mother is sister (hereinafter referred to as the special half-sibling relationship) or the common first cousin relationship and discuss the application of ITO method in discriminating the special kinship.
METHODS:DNA was extracted from blood stain of four identified individuals, PowerPlex® 21 System and AGCU 21+1 STR kit were used to detect autosomal STR genetic markers. Investigator® Argus X-12 QS kit was used to detect the X chromosome STR genetic markers, the special half-sibling index (SHSI) and first cousin index (FCI) and their likelihood ratio (LR) were calculated by ITO method.
RESULTS:The LR results of SHSI to FCI, which were calculated based on autosomal STR genotyping and the analysis of X-STR genotyping results suggested that the relationship between Zhang A, Zhang B, Zhang C and Zhang X was inclined to be a special half-sibling relationship.
CONCLUSIONS:For the identification of special kinship, it is necessary to comprehensively apply various genetic markers according to the case. After the conclusion that shared alleles cannot be excluded from the analysis, ITO method can be further used to establish discriminant assumptions according to the specific case to obtain objective and reliable identification opinions.
