Estimating mutation rates from paternity casework

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Standard

Estimating mutation rates from paternity casework. / Vicard, P.; Dawid, A. P.; Mortera, J.; Lauritzen, Steffen L.

I: Forensic Science International: Genetics, Bind 2, Nr. 1, 2008, s. 9-18.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Vicard, P, Dawid, AP, Mortera, J & Lauritzen, SL 2008, 'Estimating mutation rates from paternity casework', Forensic Science International: Genetics, bind 2, nr. 1, s. 9-18. https://doi.org/10.1016/j.fsigen.2007.07.002

APA

Vicard, P., Dawid, A. P., Mortera, J., & Lauritzen, S. L. (2008). Estimating mutation rates from paternity casework. Forensic Science International: Genetics, 2(1), 9-18. https://doi.org/10.1016/j.fsigen.2007.07.002

Vancouver

Vicard P, Dawid AP, Mortera J, Lauritzen SL. Estimating mutation rates from paternity casework. Forensic Science International: Genetics. 2008;2(1):9-18. https://doi.org/10.1016/j.fsigen.2007.07.002

Author

Vicard, P. ; Dawid, A. P. ; Mortera, J. ; Lauritzen, Steffen L. / Estimating mutation rates from paternity casework. I: Forensic Science International: Genetics. 2008 ; Bind 2, Nr. 1. s. 9-18.

Bibtex

@article{be74b98d5af847f68c2052903c17bb38,
title = "Estimating mutation rates from paternity casework",
abstract = "We present a statistical methodology for making inferences about mutation rates from paternity casework. This takes account of a number of sources of potential bias, including hidden mutation, incomplete family triplets, uncertain paternity status and differing maternal and paternal mutation rates, while allowing a wide variety of mutation models. An object-oriented Bayesian network is used to facilitate computation of the likelihood function for the mutation parameters. This can process either full or summary genotypic information, both from complete putative father–mother–child triplets and from defective cases where only the child and one of its parents are observed. We use a dataset from paternity casework to illustrate the effects on inferences about mutation parameters of various types of biases and the mutation model assumed. In particular, we show that there can be relevant information in cases of unconfirmed paternity, and that excluding these, as has generally been done, can lead to biased conclusions.",
author = "P. Vicard and Dawid, {A. P.} and J. Mortera and Lauritzen, {Steffen L.}",
year = "2008",
doi = "10.1016/j.fsigen.2007.07.002",
language = "English",
volume = "2",
pages = "9--18",
journal = "Forensic Science International: Genetics",
issn = "1872-4973",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - Estimating mutation rates from paternity casework

AU - Vicard, P.

AU - Dawid, A. P.

AU - Mortera, J.

AU - Lauritzen, Steffen L.

PY - 2008

Y1 - 2008

N2 - We present a statistical methodology for making inferences about mutation rates from paternity casework. This takes account of a number of sources of potential bias, including hidden mutation, incomplete family triplets, uncertain paternity status and differing maternal and paternal mutation rates, while allowing a wide variety of mutation models. An object-oriented Bayesian network is used to facilitate computation of the likelihood function for the mutation parameters. This can process either full or summary genotypic information, both from complete putative father–mother–child triplets and from defective cases where only the child and one of its parents are observed. We use a dataset from paternity casework to illustrate the effects on inferences about mutation parameters of various types of biases and the mutation model assumed. In particular, we show that there can be relevant information in cases of unconfirmed paternity, and that excluding these, as has generally been done, can lead to biased conclusions.

AB - We present a statistical methodology for making inferences about mutation rates from paternity casework. This takes account of a number of sources of potential bias, including hidden mutation, incomplete family triplets, uncertain paternity status and differing maternal and paternal mutation rates, while allowing a wide variety of mutation models. An object-oriented Bayesian network is used to facilitate computation of the likelihood function for the mutation parameters. This can process either full or summary genotypic information, both from complete putative father–mother–child triplets and from defective cases where only the child and one of its parents are observed. We use a dataset from paternity casework to illustrate the effects on inferences about mutation parameters of various types of biases and the mutation model assumed. In particular, we show that there can be relevant information in cases of unconfirmed paternity, and that excluding these, as has generally been done, can lead to biased conclusions.

U2 - 10.1016/j.fsigen.2007.07.002

DO - 10.1016/j.fsigen.2007.07.002

M3 - Journal article

VL - 2

SP - 9

EP - 18

JO - Forensic Science International: Genetics

JF - Forensic Science International: Genetics

SN - 1872-4973

IS - 1

ER -

ID: 128103731