Vis enkel innførsel

dc.contributor.advisorThore, Egeland
dc.contributor.authorLarsen, Kristine Haugland
dc.date.accessioned2019-08-29T09:11:36Z
dc.date.available2019-08-29T09:11:36Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/11250/2611552
dc.description.abstractShort tandem repeat (STR) markers are the current golden standard in forensic genetics, whereas single nucleotide polymorphisms (SNPs) have emerged as an alternative. In this thesis it was investigated if using SNP panels as a supplement to STR panels could lead to more conclusive results in complex kinship cases. 16 samples from eight complex kinship cases with inconclusive results were analysed with two STR panels and two supplementary SNP panels. The results were evaluated by comparing the likelihood ratio (LR) calculated based on the two STR panels, with the LR calculated based on the combination of both STR- and SNP panels. The STR analyses were performed with traditional capillary electrophoresis, while the SNPs were analysed with massively parallel sequencing using the Ion TorrentTM Personal Genome MachineTM (PGMTM) System (Thermo Fisher Scientific). Sequencing on the PGMTM is not a part of the accredited routine at REFA, and this method was thoroughly evaluated and reviewed in this project. Several software and tools were used in the evaluations in the project. For instance, the statistical software Familias was used to calculate LR for the real cases and the simulations, and to perform a blind search. Results from both the real cases and the simulations showed a notable decrease in the number of inconclusive cases when SNPs were included in the analyses. However, throughout this project it has been revealed that there are several important aspects that can affect the final conclusion in complex kinship cases, especially when a large number of markers are applied. These have been reviewed in terms of further work with constructing a SNP panel that can be used in routine work, and it was suggested that the markers should be ancestry-insensitive, not in linkage disequilibrium with each other, and that linkage should be calculated and included in the analyses. It was also suggested that larger- or better suited panels were needed to solve cases where the proposed relationship was half sibling of parent or equivalent. Additionally, it was shown in this project that the use of the correct allele frequency databases in the calculations was crucial, especially if ancestry- sensitive markers were applied. Finally, it was concluded that SNPs are well suited as supplement to STRs in complex kinship cases, but that further investigations should be performed in respect to construct a panel and a procedure that is suitable for routine work.nb_NO
dc.description.abstractI dag benyttes mikrosatellitter (STRer) som standardmarkører i rettsmedisinske genetikkanalyser. Enkeltnukleotidpolymorfismer (SNPer) har imidlertid kommet inn som alternative markører. I denne studien har det blitt undersøkt om flere konkluderende resultater kan oppnås i komplekse slektskapssaker ved å benytte SNP-paneler som supplement til standard STR-paneler. 16 prøver fra åtte komplekse slektskapsaker ble benyttet i undersøkelsene, og ble analysert med to STR paneler og to supplementerende SNP paneler. Resultatene ble vurdert ved at bevisvekt (LR) basert på de to STR-panelene ble sammenlignet med LR basert på både STR- og SNP-paneler. STR-analysene ble utført med tradisjonell kapillærelektroforese, mens SNPene ble analysert med massiv parallell sekvensering på Personal Genome Machine™ (PGM™) (Thermo Fisher Scientific). Sekvensering på PGM™ er ikke en del av den akkrediterte rutinen på REFA, og metoden ble derfor grundig gjennomgått og evaluert i dette prosjektet.nb_NO
dc.language.isoengnb_NO
dc.publisherNorwegian University of Life Sciences, Åsnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleMassively parallel sequencing of extended SNP panels with applications in relationship inferencenb_NO
dc.typeMaster thesisnb_NO
dc.description.versionsubmittedVersionnb_NO
dc.description.localcodeM-BIOTEKnb_NO


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal