Literature DB >> 26881328

The Global AIMs Nano set: A 31-plex SNaPshot assay of ancestry-informative SNPs.

M de la Puente1, C Santos1, M Fondevila1, L Manzo1, Á Carracedo2, M V Lareu1, C Phillips3.   

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.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Keywords:  AIMs; Biogeographical ancestry; Population-specific Divergence; SNPs; SNaPshot

Mesh:

Substances:

Year:  2016        PMID: 26881328     DOI: 10.1016/j.fsigen.2016.01.015

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  10 in total

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Journal:  Forensic Sci Med Pathol       Date:  2017-04-24       Impact factor: 2.007

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Authors:  María de la Puente; Jorge Ruiz-Ramírez; Adrián Ambroa-Conde; Catarina Xavier; Jorge Amigo; María Ángeles Casares de Cal; Antonio Gómez-Tato; Ángel Carracedo; Walther Parson; Christopher Phillips; María Victoria Lareu
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  10 in total

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