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Wendt FR, Novroski NM. Identity informative SNP associations in the UK Biobank. Forensic Sci Int Genet 2019; 42:45-48. [PMID: 31226582 DOI: 10.1016/j.fsigen.2019.06.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 06/01/2019] [Accepted: 06/13/2019] [Indexed: 10/26/2022]
Abstract
Single nucleotide polymorphisms (SNPs) are amenable to genotyping DNA from degraded, inhibited, and/or ancient substrates due to their relatively small amplicon size. Though they have clear advantages over traditional short tandem repeat (STR) typing for specific casework scenarios, the advances in massively parallel sequencing (MPS) have drastically increased the utility of this marker type. The biallelic nature of SNPs makes them individually less informative than STRs due to limited heterozygosity; however, in sufficiently large multiplexes, identity informative SNPs (iiSNPs) may produce combined random match probabilities comparable to STR typing. Multiple MPS library preparation kits now include iiSNPs and similar to STRs, these loci have been rigorously characterized during multiplex development. The relative accessibility of genome-wide association study (GWAS) summary statistics enables re-investigation of forensically relevant targets in high-quality datasets. Here, 4085 GWASs from the UK Biobank European datasets (UKB; 787 ≤ N ≤ 361,194) were mined for iiSNPs typed by the ForenSeq DNA Signature Prep Kit (Verogen). Seven iiSNPs had genome-wide association (p ≤ 5 × 10-8) with 17 phenotypes in UKB Europeans. Most notably, these relationships involve two outwardly visible characteristics: standing height (rs907100; β = 0.011, p = 1.35 × 10-10) and hair/balding patterns (rs2399332; β = -0.009, p = 3.83 × 10-8). The remaining associations involve red blood cell characteristics and measures of lung function. Though these traits are highly polygenic and the individual SNP effects described here have been refuted empirically, we describe the importance and ease of exploring high-quality, freely accessible data to continuously and robustly characterize new and existing forensically relevant loci.
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Affiliation(s)
- Frank R Wendt
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT 06516, USA.
| | - Nicole Mm Novroski
- Forensic Science Program, Department of Anthropology, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada
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Yousefi S, Abbassi-Daloii T, Kraaijenbrink T, Vermaat M, Mei H, van 't Hof P, van Iterson M, Zhernakova DV, Claringbould A, Franke L, 't Hart LM, Slieker RC, van der Heijden A, de Knijff P, 't Hoen PAC. A SNP panel for identification of DNA and RNA specimens. BMC Genomics 2018; 19:90. [PMID: 29370748 PMCID: PMC5785835 DOI: 10.1186/s12864-018-4482-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Accepted: 01/16/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND SNP panels that uniquely identify an individual are useful for genetic and forensic research. Previously recommended SNP panels are based on DNA profiles and mostly contain intragenic SNPs. With the increasing interest in RNA expression profiles, we aimed for establishing a SNP panel for both DNA and RNA-based genotyping. RESULTS To determine a small set of SNPs with maximally discriminative power, genotype calls were obtained from DNA and blood-derived RNA sequencing data belonging to healthy, geographically dispersed, Dutch individuals. SNPs were selected based on different criteria like genotype call rate, minor allele frequency, Hardy-Weinberg equilibrium and linkage disequilibrium. A panel of 50 SNPs was sufficient to identify an individual uniquely: the probability of identity was 6.9 × 10- 20 when assuming no family relations and 1.2 × 10- 10 when accounting for the presence of full sibs. The ability of the SNP panel to uniquely identify individuals on DNA and RNA level was validated in an independent population dataset. The panel is applicable to individuals from European descent, with slightly lower power in non-Europeans. Whereas most of the genes containing the 50 SNPs are expressed in various tissues, our SNP panel needs optimization for other tissues than blood. CONCLUSIONS This first DNA/RNA SNP panel will be useful to identify sample mix-ups in biomedical research and for assigning DNA and RNA stains in crime scenes to unique individuals.
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Affiliation(s)
- Soheil Yousefi
- Department of Human Genetics, Leiden University Medical Center, Postzone S4-P, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Tooba Abbassi-Daloii
- Department of Human Genetics, Leiden University Medical Center, Postzone S4-P, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Thirsa Kraaijenbrink
- Department of Human Genetics, Leiden University Medical Center, Postzone S4-P, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Martijn Vermaat
- Department of Human Genetics, Leiden University Medical Center, Postzone S4-P, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Hailiang Mei
- Sequencing Analysis Support Core, Leiden University Medical Center, Leiden, The Netherlands
| | - Peter van 't Hof
- Sequencing Analysis Support Core, Leiden University Medical Center, Leiden, The Netherlands
| | - Maarten van Iterson
- Molecular Epidemiology Section, Leiden University Medical Center, Leiden, The Netherlands
| | - Daria V Zhernakova
- Department of Genetics, University Medical Centre Groningen, Groningen, The Netherlands
| | - Annique Claringbould
- Department of Genetics, University Medical Centre Groningen, Groningen, The Netherlands
| | - Lude Franke
- Department of Genetics, University Medical Centre Groningen, Groningen, The Netherlands
| | - Leen M 't Hart
- Molecular Epidemiology Section, Leiden University Medical Center, Leiden, The Netherlands.,Department of Molecular Cell Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Roderick C Slieker
- Department of Molecular Cell Biology, Leiden University Medical Center, Leiden, The Netherlands.,Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Amber van der Heijden
- Department of Epidemiology and Biostatistics, VU Medical Center, Amsterdam, The Netherlands.,Department of General Practice and Elderly Care Medicine, VU Medical Center, Amsterdam, The Netherlands
| | - Peter de Knijff
- Department of Human Genetics, Leiden University Medical Center, Postzone S4-P, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | | | - Peter A C 't Hoen
- Department of Human Genetics, Leiden University Medical Center, Postzone S4-P, PO Box 9600, 2300 RC, Leiden, The Netherlands. .,Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
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