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Published on: June 21, 2018
Extended kinship analysis of historical remains using SNP capture
Erin M Gorden1, Ellen M Greytak2, Kimberly Sturk-Andreaggi3
1Armed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, DE, USA; SNA International LLC, Alexandria, VA, USA.
Genetic analysis of degraded DNA from historical remains can now identify relatives using single nucleotide polymorphisms (SNPs). This method enables accurate distant kinship predictions from compromised skeletal samples.
Area of Science:
- Forensic Science
- Genetics
- Anthropology
Background:
- DNA analysis of historical remains is crucial for identification.
- Degraded DNA from skeletal samples presents significant analytical challenges.
- Existing methods may struggle with low-quality DNA and distant kinship estimation.
Purpose of the Study:
- To evaluate the efficacy of SNP capture and next-generation sequencing for kinship analysis in ancient DNA.
- To assess the performance of two SNP panels (25K and 95K) for distant relative identification.
- To determine the feasibility of using benchtop sequencing for forensic genetic applications.
Main Methods:
- Design and application of two SNP capture panels (~25,000 and ~95,000 SNPs).
- Targeted enrichment of nuclear SNPs using hybridization capture.
- Low-coverage, massively parallel sequencing on an Illumina MiSeq platform.
- Kinship analysis using the Parabon Fx Forensic Analysis Platform with a likelihood approach.
Main Results:
- Successful recovery of low-coverage SNP data from 14 skeletal elements up to 75 years postmortem.
- Degraded DNA samples with mean fragment lengths from 32 bp to 170 bp were analyzed.
- The 25K panel yielded ~15,000 SNPs, enabling accurate kinship prediction in 16/21 comparisons.
- The 95K panel yielded ~42,000 SNPs, improving accurate predictions to 17/21 comparisons.
Conclusions:
- SNP capture combined with benchtop sequencing effectively recovers genetic data from compromised skeletal samples.
- This approach enables accurate and statistically supported distant kinship predictions.
- The methodology is suitable for forensic applications involving historical remains and degraded DNA.
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