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Improved autosomal STR typing of degraded femur samples extracted using a custom demineralization buffer and DNA IQ™.


ABSTRACT: Bone samples are utilized as a source of DNA in disaster victim identification and human remains investigations. However, DNA recovery from bones is time consuming and prone to contamination. A logical approach for postmortem identification is to validate efficient DNA extraction methods requiring less bone material using improved molecular kits with less hands-on time and workflows that facilitate faster turn-around time for processing. In this study, we evaluated DNA yield and amplification efficiency of DNA extracts using a new custom bone demineralization buffer (DMB; Promega) and extracted via manual and automated DNA IQ™ workflows. Including the demineralization step, the bone protocol can be completed in ∼4 h and even less with minimal sample handling when automated. Overall, a rapid and simple DNA extraction with improved allele recovery was validated using degraded bone samples exposed to tropical environments and post-disaster recovery as well as adverse conditions of embalming prior to internment.

SUBMITTER: Calacal GC 

PROVIDER: S-EPMC7829153 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Improved autosomal STR typing of degraded femur samples extracted using a custom demineralization buffer and DNA IQ™.

Calacal Gayvelline C GC   Gallardo Bea G BG   Apaga Dame Loveliness T DLT   De Ungria Maria Corazon A MCA  

Forensic science international. Synergy 20210108


Bone samples are utilized as a source of DNA in disaster victim identification and human remains investigations. However, DNA recovery from bones is time consuming and prone to contamination. A logical approach for postmortem identification is to validate efficient DNA extraction methods requiring less bone material using improved molecular kits with less hands-on time and workflows that facilitate faster turn-around time for processing. In this study, we evaluated DNA yield and amplification ef  ...[more]

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