The global AIMs nano set: A 31-plex SNaPshot assay of ancestry-informative SNPs
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Elsevier
Abstract
A 31-plex SNaPshot assay, named 'Global AIMs Nano', has been developed by reassembling the most differentiated markers of the EUROFORGEN Global AIM-SNP set. The SNPs include three tri-allelic loci and were selected with the goal of maintaining a balanced differentiation of: Africans, Europeans, East Asians, Oceanians and Native Americans. The Global AIMs Nano SNP set provides higher divergence between each of the five continental population groups than previous small-scale AIM sets developed for forensic ancestry analysis with SNaPshot. Both of these characteristics minimise potential bias when estimating co-ancestry proportions in individuals with admixed ancestry; more likely to be observed when using markers disproportionately informative for only certain population group comparisons. The optimised multiplex is designed to be easily implemented using standard capillary electrophoresis regimes and has been used to successfully genotype challenging forensic samples from highly degraded material with low level DNA. The ancestry predictive performance of the Global AIMs Nano set has been evaluated by the analysis of samples previously characterised with larger AIM sets
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de la Puente M, Santos C, Fondevila M, Manzo L; EUROFORGEN-NoE Consortium; Carracedo Á, Lareu MV, Phillips C. The Global AIMs Nano set: A 31-plex SNaPshot assay of ancestry-informative SNPs. Forensic Sci Int Genet. 2016 May;22:81-88. doi: 10.1016/j.fsigen.2016.01.015. Epub 2016 Jan 25. PMID: 26881328
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https://doi.org/10.1016/j.fsigen.2016.01.015Sponsors
This work was funded by the EUROFORGEN Node of Excellence (Grant Agreement No. 285487). MdlP is supported by funding awarded by the Consellería de Cultura, Educación e Ordenación Universitaria of the Xunta de Galicia as part of the Plan Galego de Investigación, Innovación e Crecemento 2011–2015 (Plan I2C). CS is supported by a PhD grant (SFRH/BD/75627/2010) awarded by the Portuguese Foundation for Science and Technology (FCT) and co-financed by the European Social Fund (Human Potential Thematic Operational Program). MVL was supported by funding from Xunta de Galicia, Incite 09208163PR
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Attribution-NonCommercial-NoDerivatives 4.0 International








