期刊
FORENSIC SCIENCE INTERNATIONAL-GENETICS
卷 61, 期 -, 页码 -出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.fsigen.2022.102752
关键词
Kinship discrimination analysis; SNP profile; STR profile; Microarray platform; Low-quantity DNA; KING software
Instead of traditional STR profiling, the genetic genealogy method using high-density SNP profiles has become a powerful tool for kinship determination in forensic genetics. This study investigated the tolerance and viability of kinship discrimination based on a high-density SNP profile for low-quantity DNA samples. The findings showed that low-quality SNP profiles contained genotyping errors, leading to incorrect kinship determination results. A novel method was developed to select robust SNPs and improve the accuracy of kinship analysis.
Instead of traditional short tandem repeat (STR) profiling, the genetic genealogy method, which uses hundreds of thousands of single nucleotide polymorphisms (SNPs) spread across genome-wide, has emerged as a powerful kinship determination tool and recently attracted great attention in forensic genetics. In this study, we explored the tolerance and viability of kinship discrimination based on a high-density SNP profile for forensic DNA, especially focusing on low-quantity DNA. Using the Affymetrix Genome-Wide Human SNP Array 6.0 platform (Thermo Fisher Scientific), the influence of low-quantity DNA on SNP genotype determination was evaluated. The low-quantity DNA samples failed once every few samples, the generated SNP profile had low data quality. Our investigation revealed that the SNP profile with low data quality contained many genotyping errors in which the SNP genotype changed from homozygote to heterozygote. The kinship discrimination analysis using KING software was directly influenced by these genotyping errors, which was confirmed that some unrelated pairs were mis-specified as 4th-degree relatives. We confirmed that the false heterozygous SNPs resulted in an inflation of kinship coefficient and a decrease of non-shared allele between a tested pair. To eliminate the influence of these genotyping errors and acquire an accurate kinship discrimination result, we developed a novel method to select only the robust SNPs, which stably give the genotype determination with high accuracy even in SNP profiles with low data quality. The application of our novel method led to the improved results of kinship discrimination up to the same level as in the SNP profile with high data quality. In addition, this study demonstrated the advantage of kinship analysis using a high-density SNP profile in the forensic field. It is well known that likelihood ratio calculation based on autosomal STR profile, which is the most commonly applied approach, has difficulty in gaining true kinship analysis results, especially when the relationship between the tested two individuals is more biologically distant. We showed the kinship discrimination analysis with a high-density SNP profile is more suitable for the case without close relatives, using the real case data. Although further study with larger samples will be necessary, this study indicated that practical forensic use of kinship determination with a high-density SNP profile would bring benefits to the forensic field.
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