Development of two age estimation models for buccal swab samples based on 3 CpG sites analyzed with pyrosequencing and minisequencing

2021 ◽  
Vol 53 ◽  
pp. 102521
Author(s):  
Kristina Schwender ◽  
Olivia Holländer ◽  
Steve Klopfleisch ◽  
Maria Eveslage ◽  
Moritz Fabian Danzer ◽  
...  
Keyword(s):  
Age Estimation ◽  
Buccal Swab ◽  
Cpg Sites ◽  
Estimation Models

scholarly journals Postmortem age estimation via DNA methylation analysis in buccal swabs from corpses in different stages of decomposition—a “proof of principle” study

2020 ◽  
Vol 135 (1) ◽  
pp. 167-173 ◽  
Author(s):  
Barbara Elisabeth Koop ◽  
Felix Mayer ◽  
Tanju Gündüz ◽  
Jacqueline Blum ◽  
Julia Becker ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Age Estimation ◽  
Buccal Swab ◽  
Methylation Analysis ◽  
Forensic Research ◽  
Epigenetic Age ◽  
Buccal Swabs ◽  
Validation Set ◽  
Methylation Patterns ◽  
Dna Methylation Analysis

AbstractAge estimation based on the analysis of DNA methylation patterns has become a focus of forensic research within the past few years. However, there is little data available regarding postmortem DNA methylation analysis yet, and literature mainly encompasses analysis of blood from corpses without any signs of decomposition. It is not entirely clear yet which other types of specimen are suitable for postmortem epigenetic age estimation, and if advanced decomposition may affect methylation patterns of CpG sites. In living persons, buccal swabs are an easily accessible source of DNA for epigenetic age estimation. In this work, the applicability of this approach (buccal swabs as source of DNA) under different postmortem conditions was tested. Methylation levels of PDE4C were investigated in buccal swab samples collected from 73 corpses (0–90 years old; mean: 51.2) in different stages of decomposition. Moreover, buccal swab samples from 142 living individuals (0–89 years old; mean 41.2) were analysed. As expected, methylation levels exhibited a high correlation with age in living individuals (training set: r2 = 0.87, validation set: r2 = 0.85). This was also the case in postmortem samples (r2 = 0.90), independent of the state of decomposition. Only in advanced putrified cases with extremely low DNA amounts, epigenetic age estimation was not possible. In conclusion, buccal swabs are a suitable and easy to collect source for DNA methylation analysis as long as sufficient amounts of DNA are present.

Novel epigenetic age estimation in wild-caught Gulf of Mexico reef fishes

2021 ◽  
Author(s):  
D. Nick Weber ◽  
Andrew T. Fields ◽  
William F. Patterson ◽  
Beverly K. Barnett ◽  
Christopher M. Hollenbeck ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Gulf Of Mexico ◽  
Age Estimation ◽  
Reef Fishes ◽  
Lutjanus Campechanus ◽  
Cpg Sites ◽  
Epigenetic Aging ◽  
Epigenetic Age ◽  
Red Grouper ◽  
Species Specific

Cutting-edge DNA methylation-based epigenetic aging techniques were applied to Gulf of Mexico northern red snapper (Lutjanus campechanus; n = 10; 1–26 years old) and red grouper (Epinephelus morio; n = 10; 2–14 years old). Bisulfite-converted restriction site-associated DNA sequencing was used to identify CpG sites (cytosines followed by guanines) that exhibit age-correlated DNA methylation, and species-specific epigenetic clocks developed from 100s of CpG sites in each species showed strong agreements between predicted and otolith-derived ages (r2 > 0.99 for both species). Results suggest epigenetic age estimation could provide an accurate and efficient approach to mass-aging fishes in a non-invasive manner.

Evaluating medical aesthetics treatments through evolved age-estimation models

2021 ◽  
Author(s):  
Risto Miikkulainen ◽  
Elliot Meyerson ◽  
Xin Qiu ◽  
Ujjayant Sinha ◽  
Raghav Kumar ◽  
...  
Keyword(s):  
Age Estimation ◽  
Estimation Models ◽  
Medical Aesthetics

Combining Variables to Improve Subadult Age Estimation

2021 ◽  
Author(s):  
Kyra Stull ◽  
Kerianne Armelli
Keyword(s):  
Age Estimation ◽  
Model Development ◽  
The United States ◽  
Multivariate Adaptive Regression Splines ◽  
Single Variable ◽  
Single Indicator ◽  
Computed Tomography Images ◽  
Multiple Variables ◽  
Multivariable Models ◽  
Estimation Models

Anthropologists have reported that the combination of multiple variables and indicators generally increases precision and reduces bias in age estimates. However, endeavors specific to subadult age estimation have primarily focused on estimating age of the living and therefore on variables and indicators that are active later in ontogeny and easy to image. The current study aimed to determine if multivariable, single-indicator age-estimation models outperform single-variable age-estimation models throughout ontogeny using the three most common subadult age indicators: diaphyseal dimensions, epiphyseal fusion, and dental development. Data were collected from individuals from South Africa between birth and 12 years (N = 601) using Lodox Statscan radiographic images and from the United States between the ages of birth and 20 years (N = 1,277) using computed tomography images. Multivariate adaptive regression splines were used to build the multivariable, single-indicator, and single-variable models. Each subset used for model development had a unique training sample to build the model and testing sample to ensure that the results were generalizable. The multivariable models presented with increased precision and accuracy, reduced bias, and greater consistency across ontogeny compared to the single-variable models for both samples. Eighty percent of the independent test models (20/24) had ≥ 93% coverage, and 75% (18/24) of the independent tests models had ≥ 95% coverage. Besides providing more information to the resulting age estimate, multivariable models remove any a priori beliefs regarding variable importance and eliminate the requirement to contrive a final age estimate from multiple single-variable age-estimation models.

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