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

• DOI: 10.1016/j.celrep.2022.111257
• Publication Date: 2022-08-23T14:35:25Z
• Authors: Ricky S. Joshi; Maria Rigau; Carlos A. García-...; Manuel Castro de ...; David Piñeyro; Sebastian Moran; Veronica Davalos; Pablo Carrión; Manuel Ferrando-B...; Iñigo Olalde; Carles Lalueza-Fox; Arcadi Navarro; Carles Fernández-...; Decky Aspandi; Federico M. Sukno; Xavier Binefa; Alfonso Valencia; Manel Esteller
• Keywords: 0301 basic medicine; Genome; Look-alike humans; Twins, Monozygotic; DNA Methylation; Epigenesis, Genetic; Epigenome; 03 medical and health sciences; Face; Recognition algorithms; Humans; CP: Molecular biology; Microbiome; Facial Recognition; Algorithms

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