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Utilizing the Bayesian network algorithm for noninvasive prenatal paternity testing (NIPPT) and efficacy evaluation
Zhen Liu1, Xiaohua Ling1, Yuting Lei1
1Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, PR China; Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, PR China.
Forensic Science International
|March 11, 2026
Summary
This study introduces quantitative analysis for noninvasive prenatal paternity testing (NIPPT) using the KinMix R package. It enhances reliability and addresses limitations of previous qualitative NIPPT methods.
Area of Science:
- Forensic Genetics
- Bioinformatics
- Molecular Biology
Background:
- Noninvasive prenatal paternity testing (NIPPT) methods are advancing, but qualitative analysis dominates research.
- Existing studies often lack systematic evaluation, use small sample sizes, and overlook practical scenarios like surrogacy.
- Concerns exist regarding NIPPT reliability and legal acceptance due to these limitations.
Purpose of the Study:
- To introduce quantitative analysis for NIPPT using the KinMix R package within a Bayesian network framework.
- To compare quantitative and qualitative NIPPT analysis methods and assess their impact on the weight of evidence.
- To establish a systematic method for evaluating NIPPT system efficacy using simulated DNA data.
Main Methods:
- Utilized the KinMix R package for quantitative analysis of NIPPT data.
- Compared results from quantitative analysis with traditional qualitative approaches.
- Generated simulated maternal-fetal mixed DNA data for efficacy assessment.
Main Results:
- Quantitative analysis using KinMix provides a more systematic approach to NIPPT data.
- The study explored the application of KinMix in various forensic scenarios.
- A method for assessing NIPPT system efficacy was established through simulated data analysis.
Conclusions:
- Quantitative analysis offers a more robust framework for NIPPT, addressing limitations of qualitative methods.
- The KinMix R package demonstrates potential for NIPPT and related forensic applications.
- This research provides a scientific basis for evaluating NIPPT efficacy and reliability.
