Look-alike humans identified by facial recognition algorithms show genetic similarities.
Cell Rep
; 40(8): 111257, 2022 08 23.
Article
en En
| MEDLINE
| ID: mdl-36001980
ABSTRACT
The human face is one of the most visible features of our unique identity as individuals. Interestingly, monozygotic 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-alike" humans, 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 insights about the genetics that determine our face but also might have implications for the establishment of other human anthropometric properties and even personality characteristics.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Reconocimiento Facial
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Cell Rep
Año:
2022
Tipo del documento:
Article
País de afiliación:
España