Abstract

Age prediction is an important field in forensic and aging research. Traditional methods used DNA methylation, telomere shortening, and mitochondrial DNA mutations to conduct age prediction models. Sex chromosomes, like the Y chromosome, have a significant role in aging as previously reported in hematopoietic disease and many non-reproductive cancers. Until now, there is no age predictor based on the percentage of loss of Y chromosome (LOY). LOY has been previously revealed to be correlated with Alzheimer's disease, short survival, and higher risk of cancer. The possible correlation of LOY between normal aging was not fully explored. In this study, we conducted age prediction by measuring LOY percentage by droplet digital PCR (ddPCR), based on 232 healthy male samples, including 171 blood samples, 49 saliva samples, 12 semen samples. The age group of samples ranges from 0 to 99years, with two individuals in almost every single age. Pearson correlation method was performed to calculate the correlation index. The result indicated a correlation index of 0.21 (p = 0.0059) between age and LOY percentage in blood samples, with the regression formula being y = -0.016823 + 0.001098x. The correlation between LOY percentage and age is obvious only when the individuals were divided into different age groups (R = 0.73, p = 0.016). In the studied saliva and semen samples, p-values of the correlation are 0.11 and 0.20, respectively, showing no significant association between age and LOY percentage in these two biological materials. For the first time, we investigated male-specific age predictor based on LOY. The study showed that LOY in leukocytes can be regarded as a male-specific age predictor for age group estimation in forensic genetics. This study might be indicative for forensic applications and aging research.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.