Forensic age prediction for saliva samples using methylation-sensitive high resolution melting: exploratory application for cigarette butts

Hamano, Yuya; Manabe, Sho; Morimoto, Chie; Fujimoto, Shuntaro; Tamaki, Keiji

doi:10.1038/s41598-017-10752-w

Cited by 47 publications

(54 citation statements)

References 45 publications

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“…The prediction of skin color from DNA has also been reported ( Chaitanya et al, 2018 ) and DNA methylation has been demonstrated as a useful predictor of age. Age prediction using methylation techniques have indicated a mean absolute deviation of 5–8 years ( Xu et al, 2015 ; Bocklandt et al, 2011 ; Hamano et al, 2017 )…”

Section: Understanding the Etiology Of Craniofacial Anomaliesmentioning

confidence: 99%

Facial Genetics: A Brief Overview

et al. 2018

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Historically, craniofacial genetic research has understandably focused on identifying the causes of craniofacial anomalies and it has only been within the last 10 years, that there has been a drive to detail the biological basis of normal-range facial variation. This initiative has been facilitated by the availability of low-cost hi-resolution three-dimensional systems which have the ability to capture the facial details of thousands of individuals quickly and accurately. Simultaneous advances in genotyping technology have enabled the exploration of genetic influences on facial phenotypes, both in the present day and across human history.There are several important reasons for exploring the genetics of normal-range variation in facial morphology. - Disentangling the environmental factors and relative parental biological contributions to heritable traits can help to answer the age-old question “why we look the way that we do?” - Understanding the etiology of craniofacial anomalies; e.g., unaffected family members of individuals with non-syndromic cleft lip/palate (nsCL/P) have been shown to differ in terms of normal-range facial variation to the general population suggesting an etiological link between facial morphology and nsCL/P. - Many factors such as ancestry, sex, eye/hair color as well as distinctive facial features (such as, shape of the chin, cheeks, eyes, forehead, lips, and nose) can be identified or estimated using an individual’s genetic data, with potential applications in healthcare and forensics. - Improved understanding of historical selection and adaptation relating to facial phenotypes, for example, skin pigmentation and geographical latitude. - Highlighting what is known about shared facial traits, medical conditions and genes.

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Section: Understanding the Etiology Of Craniofacial Anomaliesmentioning

confidence: 99%

Facial Genetics: A Brief Overview

et al. 2018

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“…Different array‐ and sequence‐based techniques for measuring genome‐wide DNA methylation patterns have been developed . Multiple research groups have identified CpG sites that were significantly correlated with age by using different tissue samples, such as saliva , skin , semen , and whole blood/leukocytes in female twins or children . Furthermore, different approaches were carried out to detect methylation states.…”

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confidence: 99%

Methylation‐Based Age Prediction Using Pyrosequencing Platform from Seminal Stains in Han Chinese Males

Song

Lang

et al. 2019

Journal of Forensic Sciences

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Various methods have been performed to predict an unknown individual's age from biological traces in forensic investigations. A considerably accurate age prediction for the semen donor can help narrow down the search in a sexual assault case. The aim of this study was to develop an assay for age prediction from seminal stains in Han Chinese males. We built a sperm‐specific linear regression model using bisulfite pyrosequencing. Validations were conducted with a Mean Absolute Deviation from the chronological age (MAD) of 4.219 years in liquid semen, 4.158 years in fresh seminal stains, 4.393 years in aged seminal stains, and 3.880 years in mixed stains, respectively. Furthermore, our strategy enables accurate age prediction using a forensic casework sample. The strategy indicated that we produced an accurate and reliable age prediction tool for the semen donors in Han Chinese males for forensic purposes.

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“…Dans une approche plus simple, Hamano et al [57] ont mis au point une méthode HRM sensible à la méthylation basée sur les promoteurs de deux gènes associés à l'âge précédemment décrits (ELOVL2 et EDARADD) et ont testé près de 250 échantillons de salive et de mégots de cigarettes. Les auteurs ont réussi à prédire l'âge avec un MAD de 6,25 ans dans la salive et de 7,65 ans sur les mégots de cigarettes.…”

Section: Estimation De L'âge Dans Les Tissusunclassified

Estimation de l’âge médicolégal grâce à l’étude de la méthylation de l’ADN : revue de la littérature

Bacquet

Magdinier

Léonetti

et al. 2019

La Revue de Médecine Légale

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The estimation of forensic age is a key parameter (providing useful information) for criminal, legal and anthropological investigations. Medico-legal age can be defined as the reflection of the biological (not chronological) age of an individual in a judicial (research) context. This estimate initially based on the morphological study, the bone and dental radiography turned for 5 years towards the field of the epigenetics forensic. Analysis of DNA methylation is currently the best way to predict a chronological age. The development of molecular approaches for the study of this methylation continues to grow and to date more than 20 publications have shown a positive correlation between aging and change of methylation at the CpG scale. In this review, we summarize data from the literature on the identification and development of age-correlated markers in blood and other tissues. We also identify study techniques with their advantages and disadvantages.

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Forensic age prediction for saliva samples using methylation-sensitive high resolution melting: exploratory application for cigarette butts

Cited by 47 publications

References 45 publications

Facial Genetics: A Brief Overview

Facial Genetics: A Brief Overview

Methylation‐Based Age Prediction Using Pyrosequencing Platform from Seminal Stains in Han Chinese Males

Estimation de l’âge médicolégal grâce à l’étude de la méthylation de l’ADN : revue de la littérature

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