Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/103754
DC FieldValueLanguage
dc.contributor.authorDias, Helena Correia-
dc.contributor.authorManco, Licínio-
dc.contributor.authorCorte Real, Francisco-
dc.contributor.authorCunha, Eugénia-
dc.date.accessioned2022-11-24T12:48:48Z-
dc.date.available2022-11-24T12:48:48Z-
dc.date.issued2021-12-10-
dc.identifier.issn2079-7737pt
dc.identifier.urihttp://hdl.handle.net/10316/103754-
dc.description.abstractThe development of age prediction models (APMs) focusing on DNA methylation (DNAm) levels has revolutionized the forensic age estimation field. Meanwhile, the predictive ability of multi-tissue models with similar high accuracy needs to be explored. This study aimed to build multi-tissue APMs combining blood, bones and tooth samples, herein named blood-bone-tooth-APM (BBT-APM), using two different methodologies. A total of 185 and 168 bisulfite-converted DNA samples previously addressed by Sanger sequencing and SNaPshot methodologies, respectively, were considered for this study. The relationship between DNAm and age was assessed using simple and multiple linear regression models. Through the Sanger sequencing methodology, we built a BBT-APM with seven CpGs in genes ELOVL2, EDARADD, PDE4C, FHL2 and C1orf132, allowing us to obtain a Mean Absolute Deviation (MAD) between chronological and predicted ages of 6.06 years, explaining 87.8% of the variation in age. Using the SNaPshot assay, we developed a BBT-APM with three CpGs at ELOVL2, KLF14 and C1orf132 genes with a MAD of 6.49 years, explaining 84.7% of the variation in age. Our results showed the usefulness of DNAm age in forensic contexts and brought new insights into the development of multi-tissue APMs applied to blood, bone and teeth.pt
dc.language.isoengpt
dc.publisherMDPIpt
dc.relationUIDB/00283/2020pt
dc.relationPhD grant FCT (SFRH/BD/117022/2016)pt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectDNA methylation (DNAm)pt
dc.subjectSNaPshotpt
dc.subjectSanger sequencingpt
dc.subjectepigenetic age estimationpt
dc.subjectmulti-tissue age prediction models (APMs)pt
dc.titleA Blood-Bone-Tooth Model for Age Prediction in Forensic Contextspt
dc.typearticle-
degois.publication.firstPage1312pt
degois.publication.issue12pt
degois.publication.titleBiologypt
dc.peerreviewedyespt
dc.identifier.doi10.3390/biology10121312pt
degois.publication.volume10pt
dc.date.embargo2021-12-10*
uc.date.periodoEmbargo0pt
item.grantfulltextopen-
item.fulltextCom Texto completo-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.researchunitCIAS - Research Centre for Anthropology and Health-
crisitem.author.researchunitCFE - Centre for Functional Ecology - Science for People & the Planet-
crisitem.author.orcid0000-0002-2636-0288-
crisitem.author.orcid0000-0003-1495-9362-
crisitem.author.orcid0000-0003-2998-371X-
Appears in Collections:FMUC Medicina - Artigos em Revistas Internacionais
I&D CFE - Artigos em Revistas Internacionais
I&D CIAS - Artigos em Revistas Internacionais
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This item is licensed under a Creative Commons License Creative Commons