Literature DB >> 22918435

Prediction of people's origin from degraded DNA--presentation of SNP assays and calculation of probability.

Micaela Poetsch1, Rowena Blöhm, Melanie Harder, Hiromasa Inoue, Nicole von Wurmb-Schwark, Sandra Freitag-Wolf.   

Abstract

The characterization of externally visible traits by DNA analysis is already an important tool when investigating ancient skeletal remains and may gain similar importance in future forensic DNA analysis. This, however, depends on the different legal regulations in the different countries. Besides eye or hair color, the population origin can provide crucial information in criminal prosecution. In this study, we present the analysis of 16 single-nucleotide polymorphisms (SNPs) combined to two robust SNaPshot assays with a detection threshold of 25-pg DNA. This assay was applied to 891 people from seven different populations (West Africa, North Africa, Turkey, Near East, Balkan states, North Europe, and Japan) with a thorough statistical evaluation. The prediction model was validated by an additional 125 individuals predominantly with an ancestry from those same regions. The specificity of these SNPs for the prediction of all population origins is very high (>90 %), but the sensitivity varied greatly (more than 90 % for West Africa, but only 25 % for the Near East). We could identify West Africans with a certainty of 100 %, and people from North Africa, the Balkan states, or North Europe nearly with the same reliability while determination of Turks or people from the Near East was rather difficult. In conclusion, the two SNaPshot assays are a powerful and reliable tool for the identification of people with an ancestry in one of the above listed populations, even from degraded DNA.

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Year:  2012        PMID: 22918435     DOI: 10.1007/s00414-012-0728-0

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  20 in total

1.  Verification of eye and skin color predictors in various populations.

Authors:  Amanda Pneuman; Zoran M Budimlija; Theresa Caragine; Mechthild Prinz; Elisa Wurmbach
Journal:  Leg Med (Tokyo)       Date:  2012-01-30       Impact factor: 1.376

2.  IrisPlex: a sensitive DNA tool for accurate prediction of blue and brown eye colour in the absence of ancestry information.

Authors:  Susan Walsh; Fan Liu; Kaye N Ballantyne; Mannis van Oven; Oscar Lao; Manfred Kayser
Journal:  Forensic Sci Int Genet       Date:  2010-03-27       Impact factor: 4.882

3.  Association of polymorphic sites in the OCA2 gene with eye colour using the tree scanning method.

Authors:  W Branicki; U Brudnik; T Kupiec; P Wolańska-Nowak; A Szczerbińska; A Wojas-Pelc
Journal:  Ann Hum Genet       Date:  2007-12-18       Impact factor: 1.670

4.  The SNPforID browser: an online tool for query and display of frequency data from the SNPforID project.

Authors:  Jorge Amigo; Christopher Phillips; Maviky Lareu; Angel Carracedo
Journal:  Int J Legal Med       Date:  2008-05-20       Impact factor: 2.686

5.  DNA-based eye colour prediction across Europe with the IrisPlex system.

Authors:  Susan Walsh; Andreas Wollstein; Fan Liu; Usha Chakravarthy; Mati Rahu; Johan H Seland; Gisele Soubrane; Laura Tomazzoli; Fotis Topouzis; Johannes R Vingerling; Jesus Vioque; Astrid E Fletcher; Kaye N Ballantyne; Manfred Kayser
Journal:  Forensic Sci Int Genet       Date:  2011-08-02       Impact factor: 4.882

6.  Good shedder or bad shedder--the influence of skin diseases on forensic DNA analysis from epithelial abrasions.

Authors:  Thomas Kamphausen; Dirk Schadendorf; Nicole von Wurmb-Schwark; Thomas Bajanowski; Micaela Poetsch
Journal:  Int J Legal Med       Date:  2011-05-15       Impact factor: 2.686

7.  Developmental validation of the IrisPlex system: determination of blue and brown iris colour for forensic intelligence.

Authors:  Susan Walsh; Alexander Lindenbergh; Sofia B Zuniga; Titia Sijen; Peter de Knijff; Manfred Kayser; Kaye N Ballantyne
Journal:  Forensic Sci Int Genet       Date:  2010-10-14       Impact factor: 4.882

8.  Gene-gene interactions contribute to eye colour variation in humans.

Authors:  Ewelina Pośpiech; Jolanta Draus-Barini; Tomasz Kupiec; Anna Wojas-Pelc; Wojciech Branicki
Journal:  J Hum Genet       Date:  2011-04-07       Impact factor: 3.172

9.  Interactions between HERC2, OCA2 and MC1R may influence human pigmentation phenotype.

Authors:  Wojciech Branicki; Urszula Brudnik; Anna Wojas-Pelc
Journal:  Ann Hum Genet       Date:  2009-02-04       Impact factor: 1.670

10.  Variants of the melanocyte-stimulating hormone receptor gene are associated with red hair and fair skin in humans.

Authors:  P Valverde; E Healy; I Jackson; J L Rees; A J Thody
Journal:  Nat Genet       Date:  1995-11       Impact factor: 38.330

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  4 in total

1.  Assessment of IrisPlex-based multiplex for eye and skin color prediction with application to a Portuguese population.

Authors:  Paulo Dario; Helena Mouriño; Ana Rita Oliveira; Isabel Lucas; Teresa Ribeiro; Maria João Porto; Jorge Costa Santos; Deodália Dias; Francisco Corte Real
Journal:  Int J Legal Med       Date:  2015-08-20       Impact factor: 2.686

2.  Application of six IrisPlex SNPs and comparison of two eye color prediction systems in diverse Eurasia populations.

Authors:  Libing Yun; Yan Gu; Haseena Rajeevan; Kenneth K Kidd
Journal:  Int J Legal Med       Date:  2014-01-07       Impact factor: 2.686

3.  A panel of 130 autosomal single-nucleotide polymorphisms for ancestry assignment in five Asian populations and in Caucasians.

Authors:  Hsiao-Lin Hwa; Chih-Peng Lin; Tsun-Ying Huang; Po-Hsiu Kuo; Wei-Hsin Hsieh; Chun-Yen Lin; Hsiang-I Yin; Li-Hui Tseng; James Chun-I Lee
Journal:  Forensic Sci Med Pathol       Date:  2017-04-24       Impact factor: 2.007

4.  Determination of population origin: a comparison of autosomal SNPs, Y-chromosomal and mtDNA haplogroups using a Malagasy population as example.

Authors:  Micaela Poetsch; Aline Wiegand; Melanie Harder; Rowena Blöhm; Noel Rakotomavo; Sandra Freitag-Wolf; Nicole von Wurmb-Schwark
Journal:  Eur J Hum Genet       Date:  2013-04-24       Impact factor: 4.246

  4 in total

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