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

Ricky S. Joshi; Maria Rigau; Carlos A. García-Prieto; Manuel Castro de Moura; David Piñeyro; Sebastian Moran; Veronica Davalos; Pablo Carrión; Manuel Ferrando-Bernal; Iñigo Olalde; Carles Lalueza-Fox; Arcadi Navarro; Carles Fernández-Tena; Decky Aspandi; Federico M. Sukno; Xavier Binefa; Alfonso Valencia; Manel Esteller

doi:10.1016/j.celrep.2022.111257

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

Ricky S. Joshi
, Maria Rigau
, Carlos A. García-Prieto
, Manuel Castro de Moura
, David Piñeyro
, Sebastian Moran
, Veronica Davalos
, Pablo Carrión
, Manuel Ferrando-Bernal
, Iñigo Olalde
, Carles Lalueza-Fox
, Arcadi Navarro
, Carles Fernández-Tena
, Decky Aspandi
, Federico M. Sukno
, Xavier Binefa
, Alfonso Valencia
, Manel Esteller

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	111257
Journal	Cell Reports
Volume	40
Issue number	8
DOIs	https://doi.org/10.1016/j.celrep.2022.111257
Publication status	Published - 23 Aug 2022
Externally published	Yes

Keywords

CP: Molecular biology
epigenome
face
genome
look-alike humans
microbiome
recognition algorithms

Access to Document

10.1016/j.celrep.2022.111257

Cite this

Joshi, R. S., Rigau, M., García-Prieto, C. A., 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, F. M., Binefa, X., Valencia, A., & Esteller, M. (2022). Look-alike humans identified by facial recognition algorithms show genetic similarities. Cell Reports, 40(8), Article 111257. https://doi.org/10.1016/j.celrep.2022.111257

@article{48bcd7c3aa304e32bce160e07ac45509,

title = "Look-alike humans identified by facial recognition algorithms show genetic similarities",

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.",

keywords = "CP: Molecular biology, epigenome, face, genome, look-alike humans, microbiome, recognition algorithms",

author = "Joshi, \{Ricky S.\} and Maria Rigau and Garc{\'i}a-Prieto, \{Carlos A.\} and \{Castro de Moura\}, Manuel and David Pi{\~n}eyro and Sebastian Moran and Veronica Davalos and Pablo Carri{\'o}n and Manuel Ferrando-Bernal and I{\~n}igo Olalde and Carles Lalueza-Fox and Arcadi Navarro and Carles Fern{\'a}ndez-Tena and Decky Aspandi and Sukno, \{Federico M.\} and Xavier Binefa and Alfonso Valencia and Manel Esteller",

note = "Publisher Copyright: {\textcopyright} 2022 The Author(s)",

year = "2022",

month = aug,

day = "23",

doi = "10.1016/j.celrep.2022.111257",

language = "English",

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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 2022, 'Look-alike humans identified by facial recognition algorithms show genetic similarities', Cell Reports, vol. 40, no. 8, 111257. https://doi.org/10.1016/j.celrep.2022.111257

TY - JOUR

T1 - Look-alike humans identified by facial recognition algorithms show genetic similarities

AU - Joshi, Ricky S.

AU - Rigau, Maria

AU - García-Prieto, Carlos A.

AU - Castro de Moura, Manuel

AU - Piñeyro, David

AU - Moran, Sebastian

AU - Davalos, Veronica

AU - Carrión, Pablo

AU - Ferrando-Bernal, Manuel

AU - Olalde, Iñigo

AU - Lalueza-Fox, Carles

AU - Navarro, Arcadi

AU - Fernández-Tena, Carles

AU - Aspandi, Decky

AU - Sukno, Federico M.

AU - Binefa, Xavier

AU - Valencia, Alfonso

AU - Esteller, Manel

PY - 2022/8/23

Y1 - 2022/8/23

N2 - 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.

AB - 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.

KW - CP: Molecular biology

KW - epigenome

KW - face

KW - genome

KW - look-alike humans

KW - microbiome

KW - recognition algorithms

U2 - 10.1016/j.celrep.2022.111257

DO - 10.1016/j.celrep.2022.111257

M3 - Article

C2 - 36001980

AN - SCOPUS:85136259936

SN - 2211-1247

VL - 40

JO - Cell Reports

JF - Cell Reports

IS - 8

M1 - 111257

ER -

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

Abstract

Keywords

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