Literature DB >> 23810238

A general approach to power calculation for relationship testing.

Thore Egeland1, Nadia Pinto2, Magnus Dehli Vigeland3.   

Abstract

This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Forensics; Power of exclusion; R; Relationship testing; paramlink

Mesh:

Substances:

Year:  2013        PMID: 23810238     DOI: 10.1016/j.fsigen.2013.05.001

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  6 in total

1.  Exclusion probabilities and likelihood ratios with applications to kinship problems.

Authors:  Klaas-Jan Slooten; Thore Egeland
Journal:  Int J Legal Med       Date:  2013-11-27       Impact factor: 2.686

2.  A masculinizing supergene underlies an exaggerated male reproductive morph in a spider.

Authors:  Frederik Hendrickx; Zoë De Corte; Gontran Sonet; Steven M Van Belleghem; Stephan Köstlbacher; Carl Vangestel
Journal:  Nat Ecol Evol       Date:  2021-12-23       Impact factor: 19.100

3.  Rare ABCA7 variants in 2 German families with Alzheimer disease.

Authors:  Patrick May; Sabrina Pichler; Daniela Hartl; Dheeraj R Bobbili; Manuel Mayhaus; Christian Spaniol; Alexander Kurz; Rudi Balling; Jochen G Schneider; Matthias Riemenschneider
Journal:  Neurol Genet       Date:  2018-03-21

4.  A rare loss-of-function variant of ADAM17 is associated with late-onset familial Alzheimer disease.

Authors:  Daniela Hartl; Patrick May; Wei Gu; Manuel Mayhaus; Sabrina Pichler; Christian Spaniol; Enrico Glaab; Dheeraj Reddy Bobbili; Paul Antony; Sandra Koegelsberger; Alexander Kurz; Timo Grimmer; Kevin Morgan; Badri N Vardarajan; Christiane Reitz; John Hardy; Jose Bras; Rita Guerreiro; Rudi Balling; Jochen G Schneider; Matthias Riemenschneider
Journal:  Mol Psychiatry       Date:  2018-07-09       Impact factor: 15.992

5.  Variant Spectrum of Formin Homology 2 Domain-Containing 3 Gene in Chinese Patients With Hypertrophic Cardiomyopathy.

Authors:  Guixin Wu; Jieyun Ruan; Jie Liu; Channa Zhang; Lianming Kang; Jizheng Wang; Yubao Zou; Lei Song
Journal:  J Am Heart Assoc       Date:  2021-02-15       Impact factor: 5.501

6.  A secreted WNT-ligand-binding domain of FZD5 generated by a frameshift mutation causes autosomal dominant coloboma.

Authors:  Chunqiao Liu; Sonya A Widen; Kathleen A Williamson; Rinki Ratnapriya; Christina Gerth-Kahlert; Joe Rainger; Ramakrishna P Alur; Erin Strachan; Souparnika H Manjunath; Archana Balakrishnan; James A Floyd; Tiansen Li; Andrew Waskiewicz; Brian P Brooks; Ordan J Lehmann; David R FitzPatrick; Anand Swaroop
Journal:  Hum Mol Genet       Date:  2016-01-24       Impact factor: 6.150

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.