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Items: 1 to 20 of 151

1.

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

Walsh S, Liu F, Ballantyne KN, van Oven M, Lao O, Kayser M.

Forensic Sci Int Genet. 2011 Jun;5(3):170-80. doi: 10.1016/j.fsigen.2010.02.004. Epub 2010 Mar 27.

PMID:
20457092
2.

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

Walsh S, Lindenbergh A, Zuniga SB, Sijen T, de Knijff P, Kayser M, Ballantyne KN.

Forensic Sci Int Genet. 2011 Nov;5(5):464-71. doi: 10.1016/j.fsigen.2010.09.008. Epub 2010 Oct 14.

PMID:
20947461
3.

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

Walsh S, Wollstein A, Liu F, Chakravarthy U, Rahu M, Seland JH, Soubrane G, Tomazzoli L, Topouzis F, Vingerling JR, Vioque J, Fletcher AE, Ballantyne KN, Kayser M.

Forensic Sci Int Genet. 2012 May;6(3):330-40. doi: 10.1016/j.fsigen.2011.07.009. Epub 2011 Aug 2.

PMID:
21813346
4.

The HIrisPlex system for simultaneous prediction of hair and eye colour from DNA.

Walsh S, Liu F, Wollstein A, Kovatsi L, Ralf A, Kosiniak-Kamysz A, Branicki W, Kayser M.

Forensic Sci Int Genet. 2013 Jan;7(1):98-115. doi: 10.1016/j.fsigen.2012.07.005. Epub 2012 Aug 20.

5.

Collaborative EDNAP exercise on the IrisPlex system for DNA-based prediction of human eye colour.

Chaitanya L, Walsh S, Andersen JD, Ansell R, Ballantyne K, Ballard D, Banemann R, Bauer CM, Bento AM, Brisighelli F, Capal T, Clarisse L, Gross TE, Haas C, Hoff-Olsen P, Hollard C, Keyser C, Kiesler KM, Kohler P, Kupiec T, Linacre A, Minawi A, Morling N, Nilsson H, Norén L, Ottens R, Palo JU, Parson W, Pascali VL, Phillips C, Porto MJ, Sajantila A, Schneider PM, Sijen T, Söchtig J, Syndercombe-Court D, Tillmar A, Turanska M, Vallone PM, Zatkalíková L, Zidkova A, Branicki W, Kayser M.

Forensic Sci Int Genet. 2014 Jul;11:241-51. doi: 10.1016/j.fsigen.2014.04.006. Epub 2014 Apr 21.

PMID:
24880832
6.

Developmental validation of the HIrisPlex system: DNA-based eye and hair colour prediction for forensic and anthropological usage.

Walsh S, Chaitanya L, Clarisse L, Wirken L, Draus-Barini J, Kovatsi L, Maeda H, Ishikawa T, Sijen T, de Knijff P, Branicki W, Liu F, Kayser M.

Forensic Sci Int Genet. 2014 Mar;9:150-61. doi: 10.1016/j.fsigen.2013.12.006. Epub 2013 Dec 27.

PMID:
24528593
7.

Evaluation of the IrisPlex DNA-based eye color prediction assay in a United States population.

Dembinski GM, Picard CJ.

Forensic Sci Int Genet. 2014 Mar;9:111-7. doi: 10.1016/j.fsigen.2013.12.003. Epub 2013 Dec 12.

PMID:
24528589
8.

SNP model development for the prediction of eye colour in New Zealand.

Allwood JS, Harbison S.

Forensic Sci Int Genet. 2013 Jul;7(4):444-52. doi: 10.1016/j.fsigen.2013.03.005. Epub 2013 Apr 15.

PMID:
23597786
9.

Prediction of eye color in the Slovenian population using the IrisPlex SNPs.

Kastelic V, Pośpiech E, Draus-Barini J, Branicki W, Drobnič K.

Croat Med J. 2013 Aug;54(4):381-6.

10.

Further development of forensic eye color predictive tests.

Ruiz Y, Phillips C, Gomez-Tato A, Alvarez-Dios J, Casares de Cal M, Cruz R, Maroñas O, Söchtig J, Fondevila M, Rodriguez-Cid MJ, Carracedo A, Lareu MV.

Forensic Sci Int Genet. 2013 Jan;7(1):28-40. doi: 10.1016/j.fsigen.2012.05.009. Epub 2012 Jun 17.

PMID:
22709892
11.

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

Dario P, Mouriño H, Oliveira AR, Lucas I, Ribeiro T, Porto MJ, Costa Santos J, Dias D, Corte Real F.

Int J Legal Med. 2015 Nov;129(6):1191-200. doi: 10.1007/s00414-015-1248-5. Epub 2015 Aug 20.

PMID:
26289415
12.

The effect of gender on eye colour variation in European populations and an evaluation of the IrisPlex prediction model.

Pietroni C, Andersen JD, Johansen P, Andersen MM, Harder S, Paulsen R, Børsting C, Morling N.

Forensic Sci Int Genet. 2014 Jul;11:1-6. doi: 10.1016/j.fsigen.2014.02.002. Epub 2014 Feb 13.

PMID:
24631691
14.

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

Yun L, Gu Y, Rajeevan H, Kidd KK.

Int J Legal Med. 2014 May;128(3):447-53. doi: 10.1007/s00414-013-0953-1. Epub 2014 Jan 7.

PMID:
24395150
15.

Exploring iris colour prediction and ancestry inference in admixed populations of South America.

Freire-Aradas A, Ruiz Y, Phillips C, Maroñas O, Söchtig J, Tato AG, Dios JÁ, de Cal MC, Silbiger VN, Luchessi AD, Luchessi AD, Chiurillo MA, Carracedo Á, Lareu MV.

Forensic Sci Int Genet. 2014 Nov;13:3-9. doi: 10.1016/j.fsigen.2014.06.007. Epub 2014 Jul 3.

PMID:
25051225
16.

Gender is a major factor explaining discrepancies in eye colour prediction based on HERC2/OCA2 genotype and the IrisPlex model.

Martinez-Cadenas C, Peña-Chilet M, Ibarrola-Villava M, Ribas G.

Forensic Sci Int Genet. 2013 Jul;7(4):453-60. doi: 10.1016/j.fsigen.2013.03.007. Epub 2013 Apr 16.

PMID:
23601698
17.

Bona fide colour: DNA prediction of human eye and hair colour from ancient and contemporary skeletal remains.

Draus-Barini J, Walsh S, Pośpiech E, Kupiec T, Głąb H, Branicki W, Kayser M.

Investig Genet. 2013 Jan 14;4(1):3. doi: 10.1186/2041-2223-4-3.

18.

A 50-SNP assay for biogeographic ancestry and phenotype prediction in the U.S. population.

Gettings KB, Lai R, Johnson JL, Peck MA, Hart JA, Gordish-Dressman H, Schanfield MS, Podini DS.

Forensic Sci Int Genet. 2014 Jan;8(1):101-8. doi: 10.1016/j.fsigen.2013.07.010. Epub 2013 Aug 17.

PMID:
24315596
19.

Human eye colour and HERC2, OCA2 and MATP.

Mengel-From J, Børsting C, Sanchez JJ, Eiberg H, Morling N.

Forensic Sci Int Genet. 2010 Oct;4(5):323-8. doi: 10.1016/j.fsigen.2009.12.004. Epub 2010 Jan 12.

PMID:
20457063
20.

Genetic analyses of the human eye colours using a novel objective method for eye colour classification.

Andersen JD, Johansen P, Harder S, Christoffersen SR, Delgado MC, Henriksen ST, Nielsen MM, Sørensen E, Ullum H, Hansen T, Dahl AL, Paulsen RR, Børsting C, Morling N.

Forensic Sci Int Genet. 2013 Sep;7(5):508-15. doi: 10.1016/j.fsigen.2013.05.003. Epub 2013 Jun 28.

PMID:
23948321
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