Evaluating the weight of evidence by using quantitative short tandem repeat data in DNA mixtures

Journal of the Royal Statistical Society. Series C: Applied Statistics

Volumn 59, Issue 5, 2010, Pages 855-874

  Tvedebrink, Torben ^a   Eriksen, Poul Svante ^a   Mogensen, Helle Smidt ^b   Morling, Niels ^b  

^a AALBORG UNIVERSITY   (Denmark)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Compound symmetry model; EM algorithm; Forensic genetics; Missing data; Multivariate normal distribution; Short tandem repeat DNA mixture

Indexed keywords

EID: 77958566837     PISSN: 00359254     EISSN: 14679876     Source Type: Journal    
DOI: 10.1111/j.1467-9876.2010.00722.x     Document Type: Article

References (15)

1. Balding, D. J. and Nichols, R. A. (1994) DNA profile match probability calculation: how to allow for population stratification, relatedness, database selection and single bands. Forens. Sci. Int., 64, 125-140.
2. Bill, M., Gill, P. D., Curran, J., Clayton, T. M., Pinchin, R., Healy, M. and Buckleton, J. S. (2005) PENDULUM-a guideline-based approach to the interpretation of STR mixtures. Forens. Sci. Int., 148, 181-189.
3. Butler, J. M. (2005) Forensic DNA Typing: Biology, Technology, and Genetics of STR Markers, 2nd edn. New York: Academic Press.
4. Cowell, R. G., Lauritzen, S. L. and Mortera, J. (2007) A gamma model for DNA mixture analyses. Bayesn Anal., 2, 333-348.
5. Cox, D. R. and Hinkley, D. V. (1974) Theoretical Statistics. New York: Chapman and Hall.
6. Evett, I. W. and Weir, B. S. (1998) Interpreting DNA Evidence: Statistical Genetics for Forensic Scientists. Sunderland: Sinauer Associates.
7. Gill, P. D., Brenner, C. H., Buckleton, J. S., Carracedo, A., Krawczak, M., Mayr, W. R., Morling, N., Prinz, M., Schneider, P. M. and Weir, B. S. (2006) DNA commission of the international society of forensic genetics: recommendations on the interpretation of mixtures. Forens. Sci. Int., 160, 90-101.
8. Gill, P. D., Sparkes, R., Pinchin, R., Clayton, T. M., Whitaker, J. P. and Buckleton, J. S. (1998) Interpreting simple STR mixtures using allele peak areas. Forens. Sci. Int., 91, 41-53.
9. Lauritzen, S. L. (1996) Graphical Models. Oxford: Oxford University Press.
10. Little, R. and Rubin, D. (2002) Statistical Analysis with Missing Data, 2nd edn. New York: Wiley.
11. Perlin, M. W. and Szabady, B. (2001) Linear mixture analysis: a mathematical approach to resolving mixed DNA samples. J. Forens. Sci., 46, 1372-1378.
12. R Development Core Team (2008) R: a Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.
13. Tvedebrink, T., Eriksen, P. S., Mogensen, H. S. and Morling, N. (2008) Amplification of DNA mixtures-missing data approach. Forens. Sci. Int. Genet. Suppl. Ser., 1, 664-666.
14. Tvedebrink, T., Eriksen, P. S., Mogensen, H. S. and Morling, N. (2009) Estimating the probability of allelic drop-out of STR alleles in forensic genetics. Forens. Sci. Int. Genet., 3, 222-226.
15. Votaw, D. F. (1948) Testing compound symmetry in a normal multivariate distribution. Ann. Math. Statist., 19, 447-473.