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Published on: August 17, 2022
Applying massively parallel sequencing to paternity testing on the Ion Torrent Personal Genome Machine
Hui Li1, Xueying Zhao1, Ke Ma1
1Shanghai Key Laboratory of Crime Scene Evidence, Shanghai Research Institute of Criminal Science and Technology, Shanghai 200083, China.
Massively parallel sequencing (MPS) confirms paternity with high certainty, even with mismatched loci. This advanced forensic genetics technique identifies mutations and discovers new genetic variations, enhancing paternity testing accuracy.
Area of Science:
- Forensic genetics
- Molecular biology
- Human genetics
Background:
- Massively parallel sequencing (MPS) is increasingly used in forensic genetics.
- Capillary electrophoresis (CE) typing can present mismatched loci in forensic casework.
- Paternity testing relies on accurate Short Tandem Repeat (STR) analysis.
Purpose of the Study:
- Evaluate the performance of MPS in paternity testing for cases with mismatched STR loci identified by CE.
- Determine the certainty of paternity and analyze mutations using MPS.
- Identify novel STR alleles and assess the utility of MPS in forensic genetics.
Main Methods:
- Analysis of 15 samples from seven paternity testing cases with one mismatched locus by CE.
- Application of Massively Parallel Sequencing (MPS) on an Ion Torrent Personal Genome Machine.
- Calculation of Combined Paternity Index (CPI) and relative chance of paternity according to international and Chinese standards.
Main Results:
- MPS confirmed paternity with high certainty (CPI > 10,000), classifying mismatched alleles as mutations.
- The origins of mutations were inferred by detecting allele sequence structures.
- Nine STRs showed an increased number of unique alleles, and three novel alleles were detected in D2S441, D21S11, and FGA.
Conclusions:
- MPS is a valuable tool for forensic genetics, offering high certainty in paternity testing.
- MPS can resolve discrepancies observed with traditional methods like CE.
- The detection of novel alleles and mutation analysis by MPS contributes to forensic genetics research.
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