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Pedroza Matute S, Iyavoo S. Applications and Performance of Precision ID GlobalFiler NGS STR, Identity, and Ancestry Panels in Forensic Genetics. Genes (Basel) 2024; 15:1133. [PMID: 39336724 PMCID: PMC11431077 DOI: 10.3390/genes15091133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Revised: 08/19/2024] [Accepted: 08/23/2024] [Indexed: 09/30/2024] Open
Abstract
Short Tandem Repeat (STR) testing via capillary electrophoresis is undoubtedly the most popular forensic genetic testing method. However, its low multiplexing capabilities and limited performance with challenging samples are among the factors pushing scientists towards new technologies. Next-generation sequencing (NGS) methods overcome some of these limitations while also enabling the testing of Single-Nucleotide Polymorphisms (SNPs). Nonetheless, these methods are still under optimization, and their adoption into practice is limited. Among the available kits, Thermo Fisher Scientific (Waltham, MA, USA) produces three Precision ID Panels: GlobalFiler NGS STR, Identity, and Ancestry. A clear review of these kits, providing information useful for the promotion of their use, is, however, lacking. To close the gap, a literature review was performed to investigate the popularity, applications, and performance of these kits. Following the PRISMA guidelines, 89 publications produced since 2015 were identified. China was the most active country in the field, and the Identity Panel was the most researched. All kits appeared robust and useful for low-quality and low-quantity samples, while performance with mixtures varied. The need for more population data was highlighted, as well as further research surrounding variables affecting the quality of the sequencing results.
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Affiliation(s)
- Sharlize Pedroza Matute
- School of Natural Sciences, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, UK
- AttoGroup Limited, Scottow Enterprise Park, Badersfield, Norwich NR10 5FB, UK
| | - Sasitaran Iyavoo
- School of Natural Sciences, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, UK
- AttoGroup Limited, Scottow Enterprise Park, Badersfield, Norwich NR10 5FB, UK
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Thomas JT, Cavagnino C, Kjelland K, Anderson E, Sturk-Andreaggi K, Daniels-Higginbotham J, Amory C, Spatola B, Moran K, Parson W, Marshall C. Evaluating the Usefulness of Human DNA Quantification to Predict DNA Profiling Success of Historical Bone Samples. Genes (Basel) 2023; 14:genes14050994. [PMID: 37239354 DOI: 10.3390/genes14050994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/14/2023] [Accepted: 04/22/2023] [Indexed: 05/28/2023] Open
Abstract
This study assessed the usefulness of DNA quantification to predict the success of historical samples when analyzing SNPs, mtDNA, and STR targets. Thirty burials from six historical contexts were utilized, ranging in age from 80 to 800 years postmortem. Samples underwent library preparation and hybridization capture with two bait panels (FORCE and mitogenome), and STR typing (autosomal STR and Y-STR). All 30 samples generated small (~80 bp) autosomal DNA target qPCR results, despite mean mappable fragments ranging from 55-125 bp. The qPCR results were positively correlated with DNA profiling success. Samples with human DNA inputs as low as 100 pg resulted in ≥80% FORCE SNPs at 10X coverage. All 30 samples resulted in mitogenome coverage ≥100X despite low human DNA input (as low as 1 pg). With PowerPlex Fusion, ≥30 pg human DNA input resulted in >40% of auSTR loci. At least 59% of Y-STR loci were recovered with Y-target qPCR-based inputs of ≥24 pg. The results also indicate that human DNA quantity is a better predictor of success than the ratio of human to exogenous DNA. Accurate quantification with qPCR is feasible for historical bone samples, allowing for the screening of extracts to predict the success of DNA profiling.
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Affiliation(s)
- Jacqueline Tyler Thomas
- Armed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA
- SNA International, LLC (Contractor Supporting the AFMES-AFDIL), Alexandria, VA 22314, USA
| | - Courtney Cavagnino
- Armed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA
- SNA International, LLC (Contractor Supporting the AFMES-AFDIL), Alexandria, VA 22314, USA
| | - Katelyn Kjelland
- Armed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA
- Amentum Services Inc. (Contractor Supporting the AFMES-AFDIL), Germantown, MD 20876, USA
| | - Elise Anderson
- Armed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA
- Amentum Services Inc. (Contractor Supporting the AFMES-AFDIL), Germantown, MD 20876, USA
| | - Kimberly Sturk-Andreaggi
- Armed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA
- SNA International, LLC (Contractor Supporting the AFMES-AFDIL), Alexandria, VA 22314, USA
| | - Jennifer Daniels-Higginbotham
- Armed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA
- SNA International, LLC (Contractor Supporting the AFMES-AFDIL), Alexandria, VA 22314, USA
| | - Christina Amory
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Brian Spatola
- National Museum of Health and Medicine, Anatomical Division, Defense Health Agency, Silver Spring, MD 20910, USA
| | - Kimberlee Moran
- Forensic Science Program, Department of Chemistry, Rutgers University-Camden, Camden, NJ 08102, USA
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria
- Forensic Science Program, The Pennsylvania State University, University Park, State College, PA 16802, USA
| | - Charla Marshall
- Armed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA
- SNA International, LLC (Contractor Supporting the AFMES-AFDIL), Alexandria, VA 22314, USA
- Forensic Science Program, The Pennsylvania State University, University Park, State College, PA 16802, USA
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The FORCE Panel: An All-in-One SNP Marker Set for Confirming Investigative Genetic Genealogy Leads and for General Forensic Applications. Genes (Basel) 2021; 12:genes12121968. [PMID: 34946917 PMCID: PMC8702142 DOI: 10.3390/genes12121968] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/07/2021] [Accepted: 12/08/2021] [Indexed: 12/03/2022] Open
Abstract
The FORensic Capture Enrichment (FORCE) panel is an all-in-one SNP panel for forensic applications. This panel of 5422 markers encompasses common, forensically relevant SNPs (identity, ancestry, phenotype, X- and Y-chromosomal SNPs), a novel set of 3931 autosomal SNPs for extended kinship analysis, and no clinically relevant/disease markers. The FORCE panel was developed as a custom hybridization capture assay utilizing ~20,000 baits to target the selected SNPs. Five non-probative, previously identified World War II (WWII) cases were used to assess the kinship panel. Each case included one bone sample and associated family reference DNA samples. Additionally, seven reference quality samples, two 200-year-old bone samples, and four control DNAs were processed for kit performance and concordance assessments. SNP recovery after capture resulted in a mean of ~99% SNPs exceeding 10X coverage for reference and control samples, and 44.4% SNPs for bone samples. The WWII case results showed that the FORCE panel could predict first to fifth degree relationships with strong statistical support (likelihood ratios over 10,000 and posterior probabilities over 99.99%). To conclude, SNPs will be important for further advances in forensic DNA analysis. The FORCE panel shows promising results and demonstrates the utility of a 5000 SNP panel for forensic applications.
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An alternate workflow for preparing Precision ID Ancestry and Identity Panel libraries for Illumina sequencing. Int J Legal Med 2021; 135:1717-1726. [PMID: 33665703 DOI: 10.1007/s00414-021-02549-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 02/18/2021] [Indexed: 10/22/2022]
Abstract
Single nucleotide polymorphisms (SNPs) are well-established for forensic applications. Although they are not compatible with existing criminal databases, they offer some advantages over short tandem repeat (STR) markers including smaller amplicons, no stutter artifacts, and biogeographic ancestry and phenotype predictions. The Precision ID NGS System, a commercial workflow by Thermo Fisher Scientific, offers a streamlined solution for genotyping forensically relevant SNPs using next-generation sequencing. The Precision ID Ancestry and Identity Panels combined target 289 SNPs, and their sensitivity, reproducibility, and accuracy have been evaluated by the forensic community. The aim of this study was to develop an alternative workflow to genotype these SNP panels using Illumina chemistry. Commercial genomic DNAs (gDNAs) (n, 3) were amplified using three uracil-tolerant polymerase master mixes. Resulting amplicons were prepared into libraries using the KAPA Hyper Prep Kit (KAPA Biosystems) and sequenced via Illumina's MiniSeq. Reads were analyzed using a published analysis pipeline to compile final genotypes with read depth information. Phusion U Multiplex PCR Master Mix (Thermo Fisher Scientific) statistically outperformed the other master mixes tested (P <0.0001), with respect to the number of SNPs genotyped. To ensure a workflow using Phusion U would be compatible across diverse samples, we optimized PCR cycle number using the same commercial gDNAs (n, 3), reference buccal swabs (n, 3), and environmental (household dust) samples (n, 6). Using the developed workflow, 93.9% of all SNPs were successfully genotyped across sample types. Implementation of the developed workflow should be straightforward for forensic laboratories and suitable for processing reference and casework samples.
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Marshall C, Sturk-Andreaggi K, Gorden EM, Daniels-Higginbotham J, Sanchez SG, Bašić Ž, Kružić I, Anđelinović Š, Bosnar A, Čoklo M, Petaros A, McMahon TP, Primorac D, Holland MM. A Forensic Genomics Approach for the Identification of Sister Marija Crucifiksa Kozulić. Genes (Basel) 2020; 11:genes11080938. [PMID: 32823826 PMCID: PMC7464340 DOI: 10.3390/genes11080938] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 08/09/2020] [Accepted: 08/12/2020] [Indexed: 11/16/2022] Open
Abstract
Sister Marija Krucifiksa Kozulić (1852–1922) was a Croatian nun who is in consideration for beatification by the Vatican, which is facilitated by the identification of her 20th-century remains. Sister Marija was buried in a tomb in Rijeka, Croatia, along with other nuns including her biological sister, Tereza Kozulić (1861–1933). When the remains were exhumed in 2011, they were found in a deteriorated state and commingled with several other sets of remains. Thus, mitochondrial genome sequencing of the long bones was performed to sort the remains by mitochondrial haplotype. Two similar but unique haplotypes belonging to haplogroup H1bu were identified, and samples from these bones were subjected to autosomal short tandem repeat (STR) and single nucleotide polymorphism (SNP) sequencing. Although only partial profiles were obtained, the data were sufficient for kinship analysis with the profile of a paternal niece of Sister Marija (Fides Kozulić). The data indicate that it is 574,195-fold more likely that the two sets of skeletal remains represent 2nd-degree relatives of Fides than sisters who are unrelated to Fides. Although it is impossible to discern which set of remains belongs to Marija and which belongs to Tereza, forensic genomics methods have enabled identification of the sisters.
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Affiliation(s)
- Charla Marshall
- Armed Forces Medical Examiner System (AFMES), Dover Air Force Base, Dover, DE 19902, USA; (K.S.-A.); (E.M.G.); (J.D.-H.); (S.G.S.); (T.P.M.)
- SNA International, Contractor Supporting the AFMES, Alexandria, VA 22314, USA
- Department of Biochemistry & Molecular Biology, Forensic Science Program, The Pennsylvania State University, University Park, PA 16802, USA;
- Correspondence: (C.M.); (M.M.H.); Tel.: +1-302-346-8519 (C.M.); +1-814-865-5286 (M.M.H.)
| | - Kimberly Sturk-Andreaggi
- Armed Forces Medical Examiner System (AFMES), Dover Air Force Base, Dover, DE 19902, USA; (K.S.-A.); (E.M.G.); (J.D.-H.); (S.G.S.); (T.P.M.)
- SNA International, Contractor Supporting the AFMES, Alexandria, VA 22314, USA
| | - Erin M. Gorden
- Armed Forces Medical Examiner System (AFMES), Dover Air Force Base, Dover, DE 19902, USA; (K.S.-A.); (E.M.G.); (J.D.-H.); (S.G.S.); (T.P.M.)
- SNA International, Contractor Supporting the AFMES, Alexandria, VA 22314, USA
| | - Jennifer Daniels-Higginbotham
- Armed Forces Medical Examiner System (AFMES), Dover Air Force Base, Dover, DE 19902, USA; (K.S.-A.); (E.M.G.); (J.D.-H.); (S.G.S.); (T.P.M.)
- SNA International, Contractor Supporting the AFMES, Alexandria, VA 22314, USA
| | - Sidney Gaston Sanchez
- Armed Forces Medical Examiner System (AFMES), Dover Air Force Base, Dover, DE 19902, USA; (K.S.-A.); (E.M.G.); (J.D.-H.); (S.G.S.); (T.P.M.)
- SNA International, Contractor Supporting the AFMES, Alexandria, VA 22314, USA
| | - Željana Bašić
- Department of Forensic Sciences, University of Split, 21000 Split, Croatia; (Ž.B.); (I.K.)
| | - Ivana Kružić
- Department of Forensic Sciences, University of Split, 21000 Split, Croatia; (Ž.B.); (I.K.)
| | - Šimun Anđelinović
- Medical School, University of Split, 21000 Split, Croatia;
- Clinical Department for Pathology, Legal Medicine and Cytology, Clinical Hospital Center Split, 21000 Split, Croatia
| | - Alan Bosnar
- Department of Forensic Medicine and Criminalistics, University of Rijeka School of Medicine, 51000 Rijeka, Croatia;
| | - Miran Čoklo
- Institute for Anthropological Research, Center for Applied Bioanthropology, 10000 Zagreb, Croatia;
| | - Anja Petaros
- National Board of Forensic Medicine, Department of Forensic Medicine, 58758 Linköping, Sweden;
| | - Timothy P. McMahon
- Armed Forces Medical Examiner System (AFMES), Dover Air Force Base, Dover, DE 19902, USA; (K.S.-A.); (E.M.G.); (J.D.-H.); (S.G.S.); (T.P.M.)
| | - Dragan Primorac
- Department of Biochemistry & Molecular Biology, Forensic Science Program, The Pennsylvania State University, University Park, PA 16802, USA;
- Medical School, University of Split, 21000 Split, Croatia;
- St. Catherine Specialty Hospital, 49210 Zabok/10000 Zagreb, Croatia
- School of Medicine, University of Osijek, 31000 Osijek, Croatia
- Faculty of Dental Medicine and Health, University of Osijek, 31000 Osijek, Croatia
- The Henry C. Lee College of Criminal Justice and Forensic Sciences, University of New Haven, New Haven, CT 06516, USA
- School of Medicine, University of Rijeka, 51000 Rijeka, Croatia
- Medical School REGIOMED, 96450 Coburg, Germany
| | - Mitchell M. Holland
- Department of Biochemistry & Molecular Biology, Forensic Science Program, The Pennsylvania State University, University Park, PA 16802, USA;
- Correspondence: (C.M.); (M.M.H.); Tel.: +1-302-346-8519 (C.M.); +1-814-865-5286 (M.M.H.)
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Marshall C, Taylor R, Sturk-Andreaggi K, Barritt-Ross S, Berg GE, McMahon TP. Mitochondrial DNA haplogrouping to assist with the identification of unknown service members from the World War II Battle of Tarawa. Forensic Sci Int Genet 2020; 47:102291. [PMID: 32315949 DOI: 10.1016/j.fsigen.2020.102291] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 03/18/2020] [Accepted: 03/19/2020] [Indexed: 11/17/2022]
Abstract
The World War II Battle of Tarawa, 1943, was a devastating conflict that resulted in losses of more than 1100 American and 4690 Japanese troops. The United States government aims to identify and repatriate the remains of all missing American service members through the Defense Prisoner of War/Missing in Action (POW/MIA) Accounting Agency (DPAA) and its partners such as the Armed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL). Remains associated with the Battle of Tarawa have been recovered from field excavations conducted by History Flight, a DPAA strategic partner, as well as from the National Memorial Cemetery of the Pacific (NMCP) in Hawaii where unknowns have been disinterred for identification. DNA testing at the AFMES-AFDIL has produced mitochondrial DNA (mtDNA) sequences from 1027 case samples to date. Haplogroup assignments indicate that more than one third (36.2 %) of field-collected samples are likely of Asian maternal ancestry. Therefore the field collections from the Tarawa battlefield comprise the remains of American service members but also those of foreign nationals from Asia. The mtDNA of the NMCP unknowns is similar in ancestry proportion to the family reference sample distribution. The DPAA uses the ancestry information gleaned from mtDNA sequence data in conjunction with anthropological evidence to make foreign national determinations. In this way, mtDNA haplogrouping is used to sort the commingled and fragmentary remains recovered from Tarawa between Americans and foreign nationals, which are then repatriated to their country of origin.
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Affiliation(s)
- Charla Marshall
- Armed Forces Medical Examiner System, Dover Air Force Base, DE, USA; SNA International, Alexandria, VA, USA; Forensic Science Program, The Pennsylvania State University, University Park, PA, USA.
| | - Rebecca Taylor
- Defense POW/MIA Accounting Agency, Joint Base Pearl Harbor-Hickam, HI, USA
| | - Kimberly Sturk-Andreaggi
- Armed Forces Medical Examiner System, Dover Air Force Base, DE, USA; SNA International, Alexandria, VA, USA; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | | | - Gregory E Berg
- Defense POW/MIA Accounting Agency, Joint Base Pearl Harbor-Hickam, HI, USA
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