Estimating drop-out probabilities of STR alleles accounting for stutters, detection threshold truncation and degradation

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Standard

Estimating drop-out probabilities of STR alleles accounting for stutters, detection threshold truncation and degradation. / Tvedebrink, Torben; Asplund, Maria; Eriksen, Poul Svante; Mogensen, Helle Smidt; Morling, Niels.

I: Forensic Science International: Genetics Supplement Series, Bind 4, Nr. 1, 2013, s. e51-e52.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Tvedebrink, T, Asplund, M, Eriksen, PS, Mogensen, HS & Morling, N 2013, 'Estimating drop-out probabilities of STR alleles accounting for stutters, detection threshold truncation and degradation', Forensic Science International: Genetics Supplement Series, bind 4, nr. 1, s. e51-e52. https://doi.org/10.1016/j.fsigss.2013.10.026

APA

Tvedebrink, T., Asplund, M., Eriksen, P. S., Mogensen, H. S., & Morling, N. (2013). Estimating drop-out probabilities of STR alleles accounting for stutters, detection threshold truncation and degradation. Forensic Science International: Genetics Supplement Series, 4(1), e51-e52. https://doi.org/10.1016/j.fsigss.2013.10.026

Vancouver

Tvedebrink T, Asplund M, Eriksen PS, Mogensen HS, Morling N. Estimating drop-out probabilities of STR alleles accounting for stutters, detection threshold truncation and degradation. Forensic Science International: Genetics Supplement Series. 2013;4(1):e51-e52. https://doi.org/10.1016/j.fsigss.2013.10.026

Author

Tvedebrink, Torben ; Asplund, Maria ; Eriksen, Poul Svante ; Mogensen, Helle Smidt ; Morling, Niels. / Estimating drop-out probabilities of STR alleles accounting for stutters, detection threshold truncation and degradation. I: Forensic Science International: Genetics Supplement Series. 2013 ; Bind 4, Nr. 1. s. e51-e52.

Bibtex

@article{54cb896e48564c7a9482a1fa07a24270,
title = "Estimating drop-out probabilities of STR alleles accounting for stutters, detection threshold truncation and degradation",
abstract = "Allelic drop-out continues to be a challenge to forensic geneticists when interpreting crime scene evidence and calculating the evidential weight. Methods exist for estimating the probability of allelic drop-out, where the most promising methods use the signal intensities as input for quantifying the drop-out probability. Using data from real crime cases, we demonstrate that taking degradation of the biological material and truncation of the data due to a detection threshold into account is superior to previous approaches. An additional correction for stuttering effects showed limited improvement.",
keywords = "Allelic drop-out, Degradation, Forensic genetics, Stutter correction, Truncation",
author = "Torben Tvedebrink and Maria Asplund and Eriksen, {Poul Svante} and Mogensen, {Helle Smidt} and Niels Morling",
note = "Funding Information: This work was in part funded by Aalborg University and University of Copenhagen . ",
year = "2013",
doi = "10.1016/j.fsigss.2013.10.026",
language = "English",
volume = "4",
pages = "e51--e52",
journal = "Forensic Science International: Genetics. Supplement Series",
issn = "1875-1768",
publisher = "Elsevier Ireland Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - Estimating drop-out probabilities of STR alleles accounting for stutters, detection threshold truncation and degradation

AU - Tvedebrink, Torben

AU - Asplund, Maria

AU - Eriksen, Poul Svante

AU - Mogensen, Helle Smidt

AU - Morling, Niels

N1 - Funding Information: This work was in part funded by Aalborg University and University of Copenhagen .

PY - 2013

Y1 - 2013

N2 - Allelic drop-out continues to be a challenge to forensic geneticists when interpreting crime scene evidence and calculating the evidential weight. Methods exist for estimating the probability of allelic drop-out, where the most promising methods use the signal intensities as input for quantifying the drop-out probability. Using data from real crime cases, we demonstrate that taking degradation of the biological material and truncation of the data due to a detection threshold into account is superior to previous approaches. An additional correction for stuttering effects showed limited improvement.

AB - Allelic drop-out continues to be a challenge to forensic geneticists when interpreting crime scene evidence and calculating the evidential weight. Methods exist for estimating the probability of allelic drop-out, where the most promising methods use the signal intensities as input for quantifying the drop-out probability. Using data from real crime cases, we demonstrate that taking degradation of the biological material and truncation of the data due to a detection threshold into account is superior to previous approaches. An additional correction for stuttering effects showed limited improvement.

KW - Allelic drop-out

KW - Degradation

KW - Forensic genetics

KW - Stutter correction

KW - Truncation

UR - http://www.scopus.com/inward/record.url?scp=84889883157&partnerID=8YFLogxK

U2 - 10.1016/j.fsigss.2013.10.026

DO - 10.1016/j.fsigss.2013.10.026

M3 - Journal article

AN - SCOPUS:84889883157

VL - 4

SP - e51-e52

JO - Forensic Science International: Genetics. Supplement Series

JF - Forensic Science International: Genetics. Supplement Series

SN - 1875-1768

IS - 1

ER -

ID: 301362879