Research Centre for Anthropology and Health

Funder

Organizational Unit

Publications

Rib fractures in the Coimbra Identified Skeletal Collection

Publication . Curate, Francisco; Cunha, Eugénia

There is a high prevalence of rib fractures in human remains from archeological contexts, but these are seldom the focus in paleopathological studies pertaining skeletal trauma. This study aims to document rib fracture patterns in the Coimbra Identified Skeletal Collection, Department of Life Sciences, University of Coimbra. Specific aims of this study included the estimation of rib fracture prevalence in 252 individuals, from both sexes (females: 128; males: 124), with age-at-death varying from 20 to 96 years; and the analysis of the relationship between rib fractures and age-at-death, biological sex, and bone mineral density measured at the proximal femur. The crude prevalence of rib fractures is 6.3% (16 cases in a total of 252 individuals observed); while the true prevalence rate is 0.7% (38 fractured ribs in relation to 5656 ribs studied). Males have been more affected than females (males: 10.5%, 13/124; females: 2.3%, 3/128). Individuals with one or more rib fractures were significantly older (mean=66.19 years old; standard deviation [SD]=14.08) than those who have not experienced any rib fracture (mean=50.41 years old; SD=19.45). Bone mineral density was also associated with the presence of rib fractures but only in females. These results expand the scientific awareness about the prevalence of rib fractures in human skeletal collections.

2022Journal article

Open access

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

Publication . Correia Dias, Helena; Manco, Licínio; Corte Real, F.; Cunha, E

The 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

2021Journal article

Open access