Evidence map›Paper›PMID 38087053›Full record

ArticleInternational journal of legal medicine2024

MC1R and age heteroclassification of face phenotypes in the Rio Grande do Sul population.

Cássio Augusto Bettim, Alexsandro Vasconcellos da Silva, Alessandro Kahmann, Márcio Dorn, Clarice Sampaio Alho, Eduardo Avila

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Article in International journal of legal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Cássio Augusto BettimStructural Bioinformatics and Computational Biology Lab, Institute of Informatics, Federal University of Rio Grande Do Sul, Porto Alegre, RS, Brazil.
Alexsandro Vasconcellos da SilvaNational Science and Technology Institute for Forensic Science, Porto Alegre, RS, Brazil.
Alessandro KahmannNational Science and Technology Institute for Forensic Science, Porto Alegre, RS, Brazil. alessandro.kahmann@ufrgs.br.ORCID http://orcid.org/0000-0002-7556-7904
Márcio DornStructural Bioinformatics and Computational Biology Lab, Institute of Informatics, Federal University of Rio Grande Do Sul, Porto Alegre, RS, Brazil.
Clarice Sampaio AlhoNational Science and Technology Institute for Forensic Science, Porto Alegre, RS, Brazil.
Eduardo AvilaNational Science and Technology Institute for Forensic Science, Porto Alegre, RS, Brazil.

Funding

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6 · The paper itself

Abstract

backgroundForensic DNA phenotyping (FDP) consists of the use of methodologies for predicting externally visible characteristics (EVCs) from the genetic material of biological samples found in crime scenes and has proven to be a promising tool in aiding human identification in police activities. Currently, methods based on multiplex assays and statistical models of prediction of EVCs related to hair, skin, and iris pigmentation using panels of SNP and INDEL biomarkers have already been developed and validated by the forensic scientific community. As well as traces of pigmentation, an individual's perceived age (PA) can also be considered an EVC and its estimation in unknown individuals can be useful for the progress of investigations. Liu and colleagues (2016) were pioneers in evidencing that, in addition to lifestyle and environmental factors, the presence of SNP and INDEL variants in the MC1R gene - which encodes a transmembrane receptor responsible for regulating melanin production - seems to contribute to an individual's PA. The group highlighted the association between these MC1R gene polymorphisms and the PA in the European population, where carriers of risk haplotypes appeared to be up to 2 years older in comparison to their chronological age (CA). PURPOSE: Understanding that genotype-phenotype relationships cannot be extrapolated between different population groups, this study aimed to test this hypothesis and verify the applicability of this variant panel in the Rio Grande do Sul admixed population.

methodsBased on genomic data from a sample of 261 volunteers representative of gaucho population and using a multiple linear regression (MLR) model, our group was able to verify a significant association among nine intronic variants in loci adjacent to MC1R (e.g., AFG3L1P, TUBB3, FANCA) and facial age appearance, whose PA was defined after age heteroclassification of standard frontal face images through 11 assessors.

resultsDifferent from that observed in European populations, our results show that the presence of effect alleles (R) of the selected variants in our sample influenced both younger and older face phenotypes. The influence of each variant on PA is expressed as β values.

conclusionsThere are important molecular mechanisms behind the effects of MC1R locus on PA, and the genomic background of each population seems to be crucial to determine this influence.

Indexed as

DNAPolymorphism, GeneticEye ColorGenotypeHaplotypesHumansPhenotypePolymorphism, Single NucleotideDNAExternal visible characteristicsForensic DNA phenotypingMC1RPerceived ageSingle nucleotide polymorphisms

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.