ArticleForensic science, medicine, and pathology2019
A single nucleotide polymorphism panel for individual identification and ancestry assignment in Caucasians and four East and Southeast Asian populations using a machine learning classifier.
Article in Forensic science, medicine, and pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Large-scale human genomic resources drive innovations toward forensic intelligent source attribution and precision identification.International journal of legal medicine · 2026Review
- Population genetic analyses of Eastern Chinese Han nationality using ForenSeq™ DNA Signature Prep Kit.Molecular genetics and genomics : MGG · 2024Article
- SNVstory: inferring genetic ancestry from genome sequencing data.BMC bioinformatics · 2024Article
- Evaluation and SNP typing of DNA from ultraviolet-irradiated human bloodstains using TaqMan assay.Scientific reports · 2021Article
- Twenty Years Later: A Comprehensive Review of the X Chromosome Use in Forensic Genetics.Frontiers in genetics · 2020Review
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
Single nucleotide polymorphism (SNP) profiling is an effective means of individual identification and ancestry inferences in forensic genetics. This study established a SNP panel for the simultaneous individual identification and ancestry assignment of Caucasian and four East and Southeast Asian populations. We analyzed 220 SNPs (125 autosomal, 17 X-chromosomal, 30 Y-chromosomal, and 48 mitochondrial SNPs) of the DNA samples from 563 unrelated individuals of five populations (89 Caucasian, 234 Taiwanese Han, 90 Filipino, 79 Indonesian and 71 Vietnamese) and 18 degraded DNA samples. Informativeness for assignment (In) was used to select ancestry informative SNPs (AISNPs). A machine learning classifier, support vector machine (SVM), was used for ancestry assignment. Of the 220 SNPs, 62 were individual identification SNPs (IISNPs) (51 autosomal and 11 X-chromosomal SNPs) and 191 were AISNPs (100 autosomal, 13 X-chromosomal, 30 Y-chromosomal, and 48 mitochondrial SNPs). The 51 autosomal IISNPs offered cumulative random match probabilities (cRMPs) ranging from 1.56 × 10
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Registered trials
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