mRNA |
blood, semen, vaginal secretion, menstrual blood, and saliva |
MiSeq System (Illumina®) |
33 |
232 |
Hanson et al. 2018Hanson E, Ingold S, Haas C and Ballantyne J (2018) Messenger RNA biomarker signatures for forensic body fluid identification revealed by targeted RNA sequencing. Forensic Sci Int Genet 34:206-221.
|
blood, semen, vaginal secretion, menstrual blood, and saliva |
MiSeq System (Illumina®) |
33 |
197 |
Dørum et al. 2018Dørum G, Ingold S, Hanson E, Ballantyne J, Snipen L and Haas C (2018) Predicting the origin of stains from next generation sequencing mRNA data. Forensic Sci Int Genet 34:37-48.
|
nasal mucosa |
MiSeq FGx System (Illumina®) |
2 |
12 |
Chirnside et al. 2020Chirnside O, Lemalu A and Fleming R (2020) Identification of nasal mucosa markers for forensic mRNA body fluid determination. Forensic Sci Int Genet 48:102317.
|
blood, semen, vaginal secretion, menstrual blood, saliva, and skin |
MiSeq System (Illumina®) |
35 |
63 |
Ingold et al. 2020Ingold S, Dørum G, Hanson E, Ballantyne J and Haas C (2020) Assigning forensic body fluids to donors in mixed body fluids by targeted RNA/DNA deep sequencing of coding region SNPs. Int J Legal Med 134:473-485.
|
microRNA |
blood, semen, vaginal fluid, menstrual blood, saliva, urine, feces, and sweat |
HiSeq System (Illumina®) |
6 |
20 |
Seashols-Williams et al., 2016Seashols-Williams S, Lewis C, Calloway C, Peace N, Harrison A, Hayes-Nash C, Fleming S, Wu Q and Zehner ZE (2016) High-throughput miRNA sequencing and identification of biomarkers for forensically relevant biological fluids. Electrophoresis 37:2780-2788.
|
blood and saliva |
Ion PGM™ System (Thermo Fisher Scientific) |
25 |
10 |
Wang et al. 2016Wang Z, Zhou D, Cao Y, Hu Z, Zhang S, Bian Y, Hou Y and Li C (2016) Characterization of microRNA expression profiles in blood and saliva using the Ion Personal Genome Machine ® System (Ion PGMTM System). Forensic Sci Int Genet 20:140-146.
|
blood, semen, vaginal secretion, menstrual blood, saliva, and skin |
HiSeq and NextSeq (Illumina®) |
9 |
119 |
Dørum et al., 2019Dørum G, Ingold S, Hanson E, Ballantyne J, Russo G, Aluri S, Snipen L and Haas C (2019) Predicting the origin of stains from whole miRNome massively parallel sequencing data. Forensic Sci Int Genet 40:131-139.
|
DNA methylation |
blood, semen, saliva, and epithelial tissue |
PyroMark Q24 (Qiagen) |
4 |
42 |
Madi et al., 2012Madi T, Balamurugan K, Bombardi R, Duncan G and McCord B (2012) The determination of tissue-specific DNA methylation patterns in forensic biofluids using bisulfite modification and pyrosequencing. Electrophoresis 33:1736-1745.
|
blood, semen, vaginal secretion, and saliva |
PSQ HS 96A System (Biotage) |
8 |
80 |
Park et al., 2014Park J-L, Kwon O-H, Kim JH, Yoo H-S, Lee H-C, Woo K-M, Kim S-Y, Lee S-H and Kim YS (2014) Identification of body fluid-specific DNA methylation markers for use in forensic science. Forensic Sci Int Genet 13:147-153.
|
blood, seminal fluid, vaginal secretions, and buccal swabs |
PyroMark Q24 (Qiagen) |
4 |
89 |
Alghanim et al., 2020Alghanim H, Balamurugan K and McCord B (2020) Development of DNA methylation markers for sperm, saliva and blood identification using pyrosequencing and qPCR/HRM. Anal Biochem 611:113933.
|
saliva |
MiSeq FGx System (Illumina®) |
18 |
65 |
Watanabe et al., 2022Watanabe K, Taniguchi K, Toyomane K and Akutsu T (2022) A new approach for forensic analysis of saliva-containing body fluid mixtures based on SNPs and methylation patterns of nearby CpGs. Forensic Sci Int Genet 56:102624.
|
Microbiome profiling |
vaginal secretion, saliva and skin |
Ion PGM™ System |
16S rRNA gene |
110 |
Díez López et al. 2019Díez López C, Vidaki A, Ralf A, Montiel González D, Radjabzadeh D, Kraaij R, Uitterlinden AG, Haas C, Lao O and Kayser M (2019) Novel taxonomy-independent deep learning microbiome approach allows for accurate classification of different forensically relevant human epithelial materials. Forensic Sci Int Genet 41:72-82.
|
blood, semen, vaginal fluid, menstrual blood, saliva, and skin |
MiSeq System (Illumina®) |
16S rRNA gene |
70 |
Dobay et al., 2019Dobay A, Haas C, Fucile G, Downey N, Morrison HG, Kratzer A and Arora N (2019) Microbiome-based body fluid identification of samples exposed to indoor conditions. Forensic Sci Int Genet 40:105-113.
|