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Bioinformatics Advance Access originally published online on August 17, 2009
Bioinformatics 2009 25(20):2753-2754; doi:10.1093/bioinformatics/btp499
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© The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

CoCoa: a software tool for estimating the coefficient of coancestry from multilocus genotype data

Steven Maenhout 1,*, Bernard De Baets 2 and Geert Haesaert 1

1Department of Biosciences and Landscape Architecture, University College Ghent, Voskenslaan 270 and 2Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, B-9000 Gent, Belgium

* To whom correspondence should be addressed.


  Abstract

Motivation: Phenotypic data collected in breeding programs and marker-trait association studies are often analyzed by means of linear mixed models. In these models, the covariance between the genetic background effects of all genotypes under study is modeled by means of pairwise coefficients of coancestry. Several marker-based coancestry estimation procedures allow to estimate this covariance matrix, but generally introduce a certain amount of bias when the examined genotypes are part of a breeding program. CoCoa implements the most commonly used marker-based coancestry estimation procedures and as such, allows to select the best fitting covariance structure for the phenotypic data at hand. This better model fit translates into an increased power and improved type I error control in association studies and an improved accuracy in phenotypic prediction studies. The presented software package also provides an implementation of the new Weighted Alikeness in State (WAIS) estimator for use in hybrid breeding programs. Besides several matrix manipulation tools, CoCoa implements two different bending heuristics, in case the inverse of an ill-conditioned coancestry matrix estimate is needed.

Availability and Implementation: The software package CoCoa is freely available at http://webs.hogent.be/cocoa. Source code, manual, binaries for 32 and 64-bit Linux systems and an installer for Microsoft Windows are provided. The core components of CoCoa are written in C++, while the graphical user interface is written in Java.

Contact: steven.maenhout{at}hogent.be

Associate Editor: Martin Bishop

Received on July 14, 2009; revised on August 11, 2009; accepted on August 13, 2009

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