Publicaciones

Look-alike humans identified by facial recognition algorithms show genetic similarities

Joshi RS; Rigau M; García-Prieto CA; Castro de Moura M; Piñeyro D; Moran S; Davalos V; Carrión P; Ferrando-Bernal M; Olalde I; Lalueza-Fox C; Navarro A; Fernández-Tena C; Aspandi D; Sukno FM; Binefa X; Valencia A; Esteller M.

CELL REP

The human face is one of the most visible features of our unique identity as individuals. Interestingly, mono -zygotic twins share almost identical facial traits and the same DNA sequence but could exhibit differences in other biometrical parameters. The expansion of the world wide web and the possibility to exchange pictures of humans across the planet has increased the number of people identified online as virtual twins or doubles that are not family related. Herein, we have characterized in detail a set of look-alikehumans, defined by facial recognition algorithms, for their multiomics landscape. We report that these individuals share similar genotypes and differ in their DNA methylation and microbiome landscape. These results not only provide in-sights about the genetics that determine our face but also might have implications for the establishment of other human anthropometric properties and even personality characteristics.

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