Look-alike humans identified by facial recognition algorithms show genetic similarities
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- dc.contributor.author Joshi, Ricky S.
- dc.contributor.author Rigau, Maria
- dc.contributor.author García-Prieto, Carlos A.
- dc.contributor.author Castro de Moura, Manuel
- dc.contributor.author Piñeyro, David
- dc.contributor.author Moran, Sebastian
- dc.contributor.author Davalos, Veronica
- dc.contributor.author Carrión, Pablo
- dc.contributor.author Ferrando-Bernal, Manuel, 1990-
- dc.contributor.author Olalde Marquínez, Íñigo, 1987-
- dc.contributor.author Lalueza Fox, Carles, 1965-
- dc.contributor.author Navarro i Cuartiellas, Arcadi, 1969-
- dc.contributor.author Fernández-Tena, Carles
- dc.contributor.author Aspandi, Decky
- dc.contributor.author Sukno, Federico Mateo
- dc.contributor.author Binefa i Valls, Xavier
- dc.contributor.author Valencia, Alfonso
- dc.contributor.author Esteller, Manel
- dc.date.accessioned 2022-09-13T06:23:07Z
- dc.date.available 2022-09-13T06:23:07Z
- dc.date.issued 2022
- dc.description.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.
- dc.description.sponsorship This work was funded by the governments of Catalonia (2017SGR1080) and Spain (RTI2018-094049-B-I00, SAF2014-55000, and TIN2017-90124-P) and the Cellex Foundation.
- dc.format.mimetype application/pdf
- dc.identifier.citation 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. Look-alike humans identified by facial recognition algorithms show genetic similarities. Cell Rep. 2022 Aug 23;40(8):111257. DOI: 10.1016/j.celrep.2022.111257
- dc.identifier.doi http://dx.doi.org/10.1016/j.celrep.2022.111257
- dc.identifier.issn 2211-1247
- dc.identifier.uri http://hdl.handle.net/10230/54047
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof Cell Rep. 2022 Aug 23;40(8):111257
- dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/RTI2018-094049-B-I00
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/SAF2014-55000
- dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/TIN2017-90124-P
- dc.rights © 2022 The Author(s). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword CP: Molecular biology
- dc.subject.keyword Epigenome
- dc.subject.keyword Face
- dc.subject.keyword Genome
- dc.subject.keyword Look-alike humans
- dc.subject.keyword Microbiome
- dc.subject.keyword Recognition algorithms
- dc.title Look-alike humans identified by facial recognition algorithms show genetic similarities
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion