Grant award winning Scientist, with 3+ years of hands-on experience in molecular biology & DNA sequencing. Published 6 peer-reviewed articles and 2 patents, currently serving as a reviewer for 2 journals. Organized laboratory space and executed the transition to a LIMS platform, organizing reagents supplies, inventory and ordering.
· Conceptualized an experimental strategy to identify new DNA methylation loci based on bioinformatics and high-resolution melt analysis, resulting in $50,000/year grant award
· Initiated and guided a cross-functional team, developing a novel bioinformatics analysis of 450,000 DNA methylation loci data sets, identifying new 150 potential loci
· Collaborated with an international team to validate SNaPshot analysis while managing progress of experimental work regarding identification of new markers
· Executed a cost-effective screening of pre-selected loci which resulted in the identification of 5 new biomarkers submitted to the US Patent & Trademarks Office (US Patent 10,053,740B1 from August 21, 2018)
· Assisted faculty with administrative tasks, including budgeting, grant writing and submission, and research dissemination through presentations
· Managed and organized a laboratory, monitoring use of common spaces and maintaining equipment
· Increased throughput by more than 50% through the development of an assay based on real-time PCR and DNA melt analysis
Primary Affiliation: Florida International University - Miami, FL
Alghanim, Hussain, et al. "Detection and evaluation of DNA methylation markers found at SCGN and KLF14 loci to estimate human age." Forensic Science International: Genetics 31 (2017): 81-88.
Forensic Science International : Genetics
Recent developments in the analysis of epigenetic DNA methylation patterns have demonstrated that certain genetic loci show a linear correlation with chronological age. It is the goal of this study to identify a new set of epigenetic methylation markers for the forensic estimation of human age. A total number of 27 CpG sites at three genetic loci, SCGN, DLX5 and KLF14, were examined to evaluate the correlation of their methylation status with age. These sites were evaluated using 72 blood samples and 91 saliva samples collected from volunteers with ages ranging from 5 to 73 years. DNA was bisulfite modified followed by PCR amplification and pyrosequencing to determine the level of DNA methylation at each CpG site. In this study, certain CpG sites in SCGN and KLF14 loci showed methylation levels that were correlated with chronological age, however, the tested CpG sites in DLX5 did not show a correlation with age.
Using a 52-saliva sample training set, two age-predictor models were developed by means of a multivariate linear regression analysis for age prediction. The two models performed similarly with a single-locus model explaining 85% of the age variance at a mean absolute deviation of 5.8 years and a dual-locus model explaining 84% of the age variance with a mean absolute deviation of 6.2 years. In the validation set, the mean absolute deviation was measured to be 8.0 years and 7.1 years for the single- and dual-locus model, respectively. Another age predictor model was also developed using a 40-blood sample training set that accounted for 71% of the age variance. This model gave a mean absolute deviation of 6.6 years for the training set and 10.3 years for the validation set. The results indicate that specific CpGs in SCGN and KLF14 can be used as potential epigenetic markers to estimate age using saliva and blood specimens. These epigenetic markers could provide important information in cases where the determination of a suspect’s age is critical in developing investigative leads.
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