Document Details

Document Type : Article In Journal 
Document Title :
Population and performance analyses of four major populations with Illumina’s FGx Forensic Genomics System
Population and performance analyses of four major populations with Illumina’s FGx Forensic Genomics System
Document Language : English 
Abstract : The MiSeq FGx Forensic Genomics System (Illumina) enables amplification and massively parallel sequencing of 59 STRs, 94 identity informative SNPs, 54 ancestry informative SNPs, and 24 phenotypic informative SNPs. Allele frequency and population statistics data were generated for the 172 SNP loci included in this panel on four major population groups (Chinese, African Americans, US Caucasians, and Southwest Hispanics). Single-locus and combined random match probability values were generated for the identity informative SNPs. The average combined STR and identity informative SNP random match probabilities (assuming independence) across all four populations were 1.75E-67 and 2.30E-71 with length-based and sequence-based STR alleles, respectively. Ancestry and phenotype predictions were obtained using the ForenSeq™ Universal Analysis System (UAS; Illumina) based on the ancestry informative and phenotype informative SNP profiles generated for each sample. Additionally, performance metrics, including profile completeness, read depth, relative locus performance, and allele coverage ratios, were evaluated and detailed for the 725 samples included in this study. While some genetic markers included in this panel performed notably better than others, performance across populations was generally consistent. The performance and population data included in this study support that accurate and reliable profiles were generated and provide valuable background information for laboratories considering internal validation studies and implementation. 
ISSN : 1872-4973 
Journal Name : Forensic Science International: Genetics 
Volume : 30 
Issue Number : 1 
Publishing Year : 1438 AH
2017 AD
Article Type : Article 
Added Date : Monday, June 24, 2019 


Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Jennifer D. ChurchillChurchill, Jennifer D.Investigator
Jonathan L. KingKing, Jonathan L.ResearcherDoctorate 
Lay Hong SeahSeah, Lay HongResearcherDoctorate 
Bruce BudowleBudowle, Bruce ResearcherDoctorate 
Nicole M. M. NovroskiNovroski, Nicole M. M.ResearcherDoctorate 


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