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Lookalike people have similar Genotype: New Study Revealed.

A collection of photos of genetically unrelated lookalikes, along with DNA analysis, revealed that strong facial similarity is associated with shared genetic variants. The work appears August 23 in the journal Cell Reports.


“Our study provides a rare insight into human likeness by showing that people with extreme lookalike faces share common genotypes, whereas they are discordant at the epigenome and microbiome levels,” says senior author Manel Esteller of the Josep Carreras Leukaemia Research Institute in Barcelona, Spain. “Genomics clusters them together, and the rest sets them apart.”


The number of people identified online as virtual twins or doubles who are genetically unrelated has increased due to the expansion of the World Wide Web and the possibility of exchanging pictures of humans across the planet. In the new study, Esteller and his team set out to characterize, on a molecular level, random human beings that objectively share facial features.


To do so, they recruited human doubles from the photographic work of François Brunelle, a Canadian artist who has been obtaining worldwide pictures of lookalikes since 1999. They obtained headshot pictures of 32 lookalike couples. The researchers determined an objective measure of likeness for the pairs using three different facial recognition algorithms.


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In addition, the participants completed a comprehensive biometric and lifestyle questionnaire and provided saliva DNA for multiomics analysis. “This unique set of samples has allowed us to study how genomics, epigenomics, and microbiomics can contribute to human resemblance,” Esteller says.


Overall, the results revealed that these individuals share similar genotypes, but differ in their DNA methylation and microbiome landscapes. Half of the lookalike pairs were clustered together by all three algorithms. Genetic analysis revealed that 9 of these 16 pairs clustered together.


Moreover, physical traits such as weight and height, as well as behavioral traits such as smoking and education, were correlated in lookalike pairs. Taken together, the results suggest that shared genetic variation not only relates to similar physical appearance, but may also influence common habits and behavior.

“We provided a unique insight into the molecular characteristics that potentially influence the construction of the human face,” Esteller says. “We suggest that these same determinants correlate with both physical and behavioral attributes that constitute human beings.”

A few study limitations include the small sample size, the use of 2D black-and-white images, and the predominance of European participants. Despite these caveats, the findings may provide a molecular basis for future applications in various fields such as biomedicine, evolution, and forensics.

“These results will have future implications in forensic medicine reconstructing the criminal’s face from DNA  and in genetic diagnosis.

The photo of the patient’s face will already give you clues as to which genome he or she has,” Esteller says. “Through collaborative efforts, the ultima humans identified by facial recognition algorithms show genetic similarities.

Cell Press. “People with similar faces likely have similar DNA, study finds.”

Study Found out that advent of rapid whole genome sequencing, children presenting with an intellectual disability or developmental delay are recommended to have their DNA sequenced to identify the underlying causes.


Detection of Genetic Variants Linked to
the stretches of DNA that differ from person to person, called variants, are a major part of what makes us unique, but they can also put us at greater risk of disease.

Although we can currently spell
Genetic Factors Underlying Human Faces.

A new study of the genetics underlying facial features finds that East Africans have some unique facial genetics and some that are shared with Europeans. The findings add to our understanding of  Risks of Specific Breast Cancer Subtypes.


An analysis of genetic studies covering 266,000 women has revealed 32 new sites on the human genome where variations in DNA appear to alter the risks of getting breast cancer


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