Susan Walsh1 · Lakshmi Chaitanya2 · Krystal Breslin1 · Charanya Muralidharan1 · Agnieszka Bronikowska3 · Ewelina Pospiech4,5 · Julia Koller2 · Leda Kovatsi6 · Andreas Wollstein7 · Wojciech Branicki5,8 · Fan Liu2,9,10 · Manfred Kayser2 Received: 14 February 2017 / Accepted: 3 May 2017
Susan Walsh1 · Lakshmi Chaitanya2 · Krystal Breslin1 · Charanya Muralidharan1 · Agnieszka Bronikowska3 · Ewelina Pospiech4,5 · Julia Koller2 · Leda Kovatsi6 · Andreas Wollstein7 · Wojciech Branicki5,8 · Fan Liu2,9,10 · Manfred Kayser2 Received: 14 February 2017 / Accepted: 3 May 2017
deviation were 0.97 ± 0.02 for Light, 0.83 ± 0.11 for Dark, and 0.96 ± 0.03 for Dark-Black. When using a 5-category, this resulted in 0.74 ± 0.05 for Very Pale, 0.72 ± 0.03 for Pale, 0.73 ± 0.03 for Intermediate, 0.87±0.1 for Dark, and 0.97 ± 0.03 for Dark-Black. A comparative analysis in 194 independent samples from 17 populations demon- strated that our model outperformed a previously proposed 10-SNP-classifier approach with AUCs rising from 0.79 to 0.82 for White, comparable at the intermediate level of 0.63 and 0.62, respectively, and a large increase from 0.64 to 0.92 for Black. Overall, this study demonstrates that the chosen DNA markers and prediction model, particularly the 5-category level; allow skin colour predictions within and between continental regions for the first time, which will serve as a valuable resource for future applications in forensic and anthropologic genetics.
Conclusions Overall, we demonstrate that global skin colour, between and within continental groups, can be accurately predicted from DNA using a set of 36 carefully selected SNPs from 16 genes. The DNA markers and the model introduced here deliver prediction accuracies already high enough for prac- tical applications, although for the three different light skin colour categories, they may be further improved with addi- tional (but currently unknown) SNP predictors once identi- fied via future GWAS’s. We envision that if combined with the previously established eye and hair colour predicting SNPs, such as those from the IrisPlex and HIrisPlex sys- tems, all three human pigmentation traits can be reliably predicted from DNA in future forensic and anthropological applications.
Erratum to: Global skin colour prediction from DNA
Unfortunately, during the typesetting the Table 2 column head has been incorrectly aligned. The corrected Table 2 is given below: We apologize for any inconveniences caused
Ish Gebor Member # 18264
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Did any Africana-chemist participate in the study?
Doug M Member # 7650
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Of course, this can help, but overall people must remember that the further you go back in history, the darker populations get with tropical Africa the modal "base" of human skin color.
Ish Gebor Member # 18264
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"12-Nigeria, 14-Nigeria". Lioness, is that correct?
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