Keywords
RNA-seq; genomics; coding-region SNPs; SNPs; forensic genomics; single nucleotide polymorphisms
Abstract
This study explores the use of coding-region, forensically-relevant single nucleotide polymorphisms (SNPs) from RNA sequencing data. SNPs present distinct advantages over short tandem repeat (STR) typing, particularly in niche scenarios, such as in samples with low-quantity DNA templates or in degraded samples with substantially fragmented DNA. While RNA is susceptible to rapid ex-vivo degradation, mRNA has demonstrated unexpected stability in dried body fluid stains, contingent upon the storage conditions. This paper presents a pipeline designed to identify forensically relevant coding region single nucleotide polymorphisms (cSNPs) from RNA-seq data.
The forensically relevant cSNPs utilized in this study were sourced from a previously published paper that identified a panel of 35 body fluid-specific cSNPs. Our pipeline demonstrated effectiveness in identifying forensically relevant cSNPs across various tissue categories. However, the final analysis raises concerns about the overall specificity of this panel of cSNPs and issues with cross-reactivity for different body fluids.
Overall, this study contributes to the advancement of forensic genetics by providing a robust and standardized pipeline for identifying cSNPs from RNA-seq data. While further evaluation and optimization are necessary, the demonstrated efficacy of this pipeline holds promise for enhancing genetic profiling in forensic contexts.
Thesis Completion Year
2024
Thesis Completion Semester
Spring
Thesis Chair
Yooseph, Shibu
College
College of Engineering and Computer Science
Department
Computer Science
Thesis Discipline
Computer Science
Language
English
Access Status
Campus Access
Length of Campus Access
1 year
Campus Location
Orlando (Main) Campus
STARS Citation
Yu, Alice S., "Identification of Forensically Relevant Coding Region SNPs from RNA-seq Data" (2024). Honors Undergraduate Theses. 36.
https://stars.library.ucf.edu/hut2024/36