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A Blood–bone–tooth model for age prediction in forensic contexts

dc.contributor.authorCorreia Dias, Helena
dc.contributor.authorManco, Licínio
dc.contributor.authorCorte Real, F.
dc.contributor.authorCunha, E
dc.date.accessioned2022-06-22T10:35:06Z
dc.date.available2022-06-22T10:35:06Z
dc.date.issued2021
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 teethpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCorreia Dias H, Manco L, Corte Real F, Cunha E. A Blood–Bone–Tooth Model for Age Prediction in Forensic Contexts. Biology. 2021; 10(12):1312pt_PT
dc.identifier.doi10.3390/biology10121312pt_PT
dc.identifier.issn2079-7737
dc.identifier.urihttp://hdl.handle.net/10400.26/41158
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationResearch Centre for Anthropology and Health
dc.relationalterado para: “DNA methylation as an age predictor in living and deceased individuals” DNA methylation as age-at-death predictor in deceased individuals and human remains
dc.relation.publisherversionhttps://www.mdpi.com/2079-7737/10/12/1312pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectDNA methylationpt_PT
dc.subjectEpigenetic age estimationpt_PT
dc.subjectMulti-tissue age prediction modelspt_PT
dc.subjectAPMspt_PT
dc.subjectSanger sequencingpt_PT
dc.subjectSNaPshotpt_PT
dc.titleA Blood–bone–tooth model for age prediction in forensic contextspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Centre for Anthropology and Health
oaire.awardTitlealterado para: “DNA methylation as an age predictor in living and deceased individuals” DNA methylation as age-at-death predictor in deceased individuals and human remains
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00283%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F117022%2F2016/PT
oaire.citation.conferencePlaceBASEL, SWITZERLANDpt_PT
oaire.citation.issue12pt_PT
oaire.citation.startPage1312pt_PT
oaire.citation.titleBiologypt_PT
oaire.citation.volume10pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCorreia Dias
person.familyNameManco
person.familyNameCorte Real Gonçalves
person.familyNameCunha
person.givenNameMaria Helena
person.givenNameLicínio
person.givenNameFrancisco
person.givenNameEugénia
person.identifierhttps://scholar.google.pt/citations?user=HSGHLA0AAAAJ&hl=en
person.identifier.ciencia-idA819-AA5E-FAC6
person.identifier.ciencia-id001D-A03D-9F69
person.identifier.ciencia-id0B18-918A-80ED
person.identifier.ciencia-idE717-5464-E13B
person.identifier.orcid0000-0003-4711-6038
person.identifier.orcid0000-0002-2636-0288
person.identifier.orcid0000-0003-1495-9362
person.identifier.orcid0000-0003-2998-371X
person.identifier.scopus-author-id6603582554
person.identifier.scopus-author-id190305008042
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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