Multifactor-Dimensionality Reduction Versus Family-Based Association Tests in Detecting Susceptibility Loci in Discordant Sib-Pair Studies

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dc.contributor.author Meng, Yan en_US
dc.contributor.author Ma, Qianli en_US
dc.contributor.author Yu, Yi en_US
dc.contributor.author Farrell, John en_US
dc.contributor.author Farrer, Lindsay A en_US
dc.contributor.author Wilcox, Marsha A en_US
dc.date.accessioned 2012-01-09T20:53:15Z
dc.date.available 2012-01-09T20:53:15Z
dc.date.copyright 2005 en_US
dc.date.issued 2005-12-30 en_US
dc.identifier.citation Meng, Yan, Qianli Ma, Yi Yu, John Farrell, Lindsay A Farrer, Marsha A Wilcox. "Multifactor-dimensionality reduction versus family-based association tests in detecting susceptibility loci in discordant sib-pair studies" BMC Genetics 6(Suppl 1):S146. (2005) en_US
dc.identifier.issn 1471-2156 en_US
dc.identifier.uri http://hdl.handle.net/2144/2897
dc.description.abstract Complex diseases are generally thought to be under the influence of multiple, and possibly interacting, genes. Many association methods have been developed to identify susceptibility genes assuming a single-gene disease model, referred to as single-locus methods. Multilocus methods consider joint effects of multiple genes and environmental factors. One commonly used method for family-based association analysis is implemented in FBAT. The multifactor-dimensionality reduction method (MDR) is a multilocus method, which identifies multiple genetic loci associated with the occurrence of complex disease. Many studies of late onset complex diseases employ a discordant sib pairs design. We compared the FBAT and MDR in their ability to detect susceptibility loci using a discordant sib-pair dataset generated from the simulated data made available to participants in the Genetic Analysis Workshop 14. Using FBAT, we were able to identify the effect of one susceptibility locus. However, the finding was not statistically significant. We were not able to detect any of the interactions using this method. This is probably because the FBAT test is designed to find loci with major effects, not interactions. Using MDR, the best result we obtained identified two interactions. However, neither of these reached a level of statistical significance. This is mainly due to the heterogeneity of the disease trait and noise in the data. en_US
dc.language.iso en en_US
dc.publisher BioMed Central en_US
dc.rights Copyright 2005 Meng et al; licensee BioMed Central Ltd This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. en_US
dc.rights.uri http://creativecommons.org/licenses/by/2.0 en_US
dc.title Multifactor-Dimensionality Reduction Versus Family-Based Association Tests in Detecting Susceptibility Loci in Discordant Sib-Pair Studies en_US
dc.type article en_US
dc.identifier.doi 10.1186/1471-2156-6-S1-S146 en_US
dc.identifier.pubmedid 16451606 en_US
dc.identifier.pmcid 1866789 en_US

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