1. A SNP panel for identification of DNA and RNA specimens
- Author
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Yousefi, Soheil, Abbassi-Daloii, Tooba, Kraaijenbrink, Thirsa, Vermaat, Martijn, Mei, Hailiang, van't Hof, Peter, van Iterson, Maarten, Zhernakova, Daria V., Claringbould, Annique, Franke, Lude, 't Hart, Leen M., Slieker, Roderick C., van der Heijden, Amber, de Knijff, Peter, 't Hoen, Peter A. C., Jansen, R., van Meurs, J., Heijmans, B.T., Boomsma, D.I., van Dongen, J., Hottenga, Jouke-Jan, Slagboom, P.E., Suchiman, H. Eka D., van Zwet, Erik W., 't Hoen, P., Pool, R., van Greevenbroek, Marleen, Stehouwer, Coen, van der Kallen, Carla, Schalkwijk, Casper, Wijmenga, C., Zhernakova, A., Tigchelaar, E.F., Beekman, M, Deelen, J, van Heemst, D., Veldink, J H., van den Berg, L.H., van Duijn, C.M., Hofman, B. A., Uitterlinden, A. G., Jhamai, P. Mila, Verbiest, M., Verkerk, M., van der Breggen, Ruud, van Rooij, J., Lakenberg, N., Mei, H., Bot, J., Zhernakova, D. V., Van't Hof, P., Deelen, P., Nooren, I., Moed, M., Vermaat, M., Bonder, M.J., van Dijk, F., van Galen, M., Arindrarto, Wibowo, Kielbasa, Szymon M., Swertz, Morris A., Isaacs, A., Franke, L., Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Epidemiology and Data Science, APH - Aging & Later Life, General practice, Amsterdam Neuroscience - Complex Trait Genetics, Psychiatry, RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome, Interne Geneeskunde, MUMC+: HVC Pieken Maastricht Studie (9), and MUMC+: MA Interne Geneeskunde (3)
- Subjects
0301 basic medicine ,Netherlands Twin Register (NTR) ,BLOOD ,INDIVIDUAL IDENTIFICATION ,Individuality ,Linkage Disequilibrium ,0302 clinical medicine ,Gene Frequency ,MARKERS ,Genotype ,Ethnicity ,GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries) ,Mix up samples ,Genetics ,education.field_of_study ,CODIS CORE LOCI ,High-Throughput Nucleotide Sequencing ,16. Peace & justice ,Justice and Strong Institutions ,DNA profiling ,POPULATIONS ,DNA microarray ,MESSENGER-RNA ,Biotechnology ,Research Article ,Biobanking ,Patient Identification Systems ,SDG 16 - Peace ,lcsh:QH426-470 ,lcsh:Biotechnology ,Population ,UNITED-STATES ,Single-nucleotide polymorphism ,Biology ,Polymorphism, Single Nucleotide ,VALIDATION ,03 medical and health sciences ,All institutes and research themes of the Radboud University Medical Center ,lcsh:TP248.13-248.65 ,Journal Article ,SNP ,Humans ,030216 legal & forensic medicine ,Genetic Testing ,Genetic variation ,education ,Genotyping ,Forensics ,SDG 16 - Peace, Justice and Strong Institutions ,DNA ,DNA Fingerprinting ,Minor allele frequency ,FORENSIC IDENTIFICATION ,lcsh:Genetics ,030104 developmental biology ,Genetics, Population ,RNA ,MULTIPLEX ,Sample tracking ,Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19] - 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. Electronic supplementary material The online version of this article (10.1186/s12864-018-4482-7) contains supplementary material, which is available to authorized users.
- Published
- 2018