Original scientific paper
A novel strategy for sibship determination in trio sibling model
James Chun-I Lee
; Department of Forensic Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan ROC
Yen-Yang Lin
; Department of Forensic Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan ROC
Li-Chin Tsai
; Department of Forensic Science,Central Police University, Taoyuan, Taiwan ROC
Chun-Yen Lin
; Institute of Forensic Medicine, Ministry of Justice, New Taipei City, Taiwan ROC
Tsun-Ying Huang
; Institute of Forensic Medicine, Ministry of Justice, New Taipei City, Taiwan ROC
Pao-Ching Chu
; Department of Forensic Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan ROC
Yu-Jen Yu
; Department of Forensic Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan ROC
Adrian Linacre
; School of Biological Sciences, Flinders University, Adelaide, Australia
Hsing-Mei Hsieh
; Department of Forensic Science,Central Police University, Taoyuan, Taiwan ROC
Abstract
Aim To use a virtually simulated population, generated
from published allele frequencies based on 15 short tandem
repeats (STR), to evaluate the efficacy of trio sibship
testing and sibling assignment for forensic purposes.
Methods Virtual populations were generated using 15 STR
loci to create a large number of related and unrelated genotypes
(10 000 trio combinations). Using these virtual populations,
the probability of related and unrelated profiles
can be compared to determine the chance of inclusions
of being siblings if they are true siblings and the chance of
inclusion if they are unrelated. Two specific relationships
were tested – two reference siblings were compared to a
third true sibling (3S trio, sibling trio) and two reference siblings
were compared to an unrelated individual (2S1U trio,
non-sibling trio).
Results When the likelihood ratio was greater than 1,
99.87% of siblings in the 3S trio population were considered
as siblings (sensitivity); 99.88% of non-siblings in the
2S1U trio population were considered as non-siblings
(specificity); 99.9% of both populations were identified correctly
as siblings and non-siblings; and the accuracy of the
test was 99.88%.
Conclusions The high sensitivity and specificity figures
when using two known siblings compared to a putative
sibling are significantly greater than when using only one
known relative. The data also support the use of increasing
number of loci allowing for greater confidence in genetic
identification. The system established in this study could
be used as the model for evaluating and simulating the
cases with multiple relatives.
Keywords
Hrčak ID:
85825
URI
Publication date:
15.8.2012.
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