Papers describing the mathematics, validation and application of DBLR™:

[1] K. Slooten, Identifying common donors in DNA mixtures, with applications to database searches. Forensic Science International: Genetics. 2017; 26:40-7.

[2] M. Kruijver, J.-A. Bright, H. Kelly, J. Buckleton, Exploring the probative value of mixed DNA profiles. Forensic Science International: Genetics. 2019; 41: 1-10.

[3] J.-A. Bright, D. Taylor, Z. Kerr, J. Buckleton, M. Kruijver, The efficacy of DNA mixture to mixture matching. Forensic Science International: Genetics. 2019; 41: 64-71.

[4] D. Taylor, E. Rowe, M. Kruijver, D. Abarno, J.-A. Bright, J. Buckleton, Inter-sample contamination detection using mixture deconvolution comparison. Forensic Science International: Genetics. 2019; 160-167.

[5] J.-A. Bright, M. Jones Dukes, S.N. Pugh, I.W. Evett, J.S. Buckleton, Applying calibration to LRs produced by a DNA interpretation software.  Australian Journal of Forensic Sciences. 2019; 1-7 link)




[6] Taylor D, Kruijver M.  Combining evidence across multiple mixed DNA profiles for improved resolution of a donor when a common contributor can be assumed.  Forensic Science International: Genetics 2020; 49. 

[7] H. Kelly, Z. Kerr, K. Cheng, M. Kruijver, J.-A. Bright, Developmental validation of a software implementation of a flexible framework for the assignment of likelihood ratios for forensic investigations. Forensic Science International: Reports. 2021; Volume 4, 100231 link)

[8] M. Kruijver, D. Taylor, J.-A. Bright, Evaluating DNA evidence possibly involving multiple (mixed) samples, common donors and related contributors, Forensic Science International: Genetics. 2021; 54 link)

[9] Kruijver M, Kelly H, Bright J-A, Buckleton J. Evaluating DNA Mixtures with Contributors from Different Populations Using Probabilistic Genotyping. Genes. 2023; 14(1):40. link)


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