Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/33251
Title: Accounting for relatedness in family-based association studies: Application to Genetic Analysis Workshop 18 data
Authors: Jakris Eu-Ahsunthornwattana
Richard Aj Howey
Heather J. Cordell
Newcastle University, United Kingdom
Mahidol University
Keywords: Biochemistry, Genetics and Molecular Biology
Issue Date: 17-Jun-2014
Citation: BMC Proceedings. Vol.8, (2014)
Abstract: © 2014 Eu-ahsunthornwattana et al.; licensee BioMed Central Ltd. In the last few years, a bewildering variety of methods/software packages that use linear mixed models to account for sample relatedness on the basis of genome-wide genomic information have been proposed. We compared these approaches as implemented in the programs EMMAX, FaST-LMM, Gemma, and GenABEL (FASTA/GRAMMAR-Gamma) on the Genetic Analysis Workshop 18 data. All methods performed quite similarly and were successful in reducing the genomic control inflation factor to reasonable levels, particularly when the mean values of the observations were used, although more variation was observed when data from each time point were used individually. From a practical point of view, we conclude that it makes little difference to the results which method/software package is used, and the user can make the choice of package on the basis of personal taste or computational speed/convenience.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018193032&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/33251
ISSN: 17536561
Appears in Collections:Scopus 2011-2015

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