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10.1002/gepi.21786 http://scihub22266oqcxt.onion/10.1002/gepi.21786 C4487553!4487553!24431225     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Genet+Epidemiol 2014 ; 38 (2): 123-34 Nephropedia Template TP {{tp|p=24431225|t=2014. Testing Gene-Gene Interactions in Genome Wide Association Studies |pdf=|usr=}}{{24431225}} gab.com Text Testing Gene-Gene Interactions in Genome Wide Association Studies JO: Genet Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=24431225 #FOAvip Detection of gene-gene interaction has become increasingly popular over the past decade in genome wide association studies (GWAS). Besides traditional logistic regression analysis for detecting interactions between two markers, new methods have been developed in recent years such as comparing linkage disequilibrium (LD) in case and control groups. All these methods form the building blocks of most screening strategies for disease susceptibility loci in GWAS. In this paper, we are interested in comparing the competing methods and providing practical guidelines for selecting appropriate testing methods for interaction in GWAS. We first review a series of existing statistical methods to detect interactions, and then examine different definitions of interactions to gain insight into the theoretical relationship between the existing testing methods. Lastly, we perform extensive simulations to compare powers of various methods to detect either interaction between two markers at two unlinked loci or the overall association allowing for both interaction and main effects. This investigation reveals informative characteristics of various methods that are helpful to GWAS investigators. Twit Text FOAVip Testing Gene-Gene Interactions in Genome Wide Association Studies ????Genet Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=24431225 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24431225 #FOAvip English Wikipedia <ref>{{Cite pmid|24431225}}</ref> Testing Gene-Gene Interactions in Genome Wide Association Studies #MMPMID24431225 Hu JK; Wang X; Wang P Genet Epidemiol 2014[Feb]; 38 (2): 123-34 PMID24431225show ga Detection of gene-gene interaction has become increasingly popular over the past decade in genome wide association studies (GWAS). Besides traditional logistic regression analysis for detecting interactions between two markers, new methods have been developed in recent years such as comparing linkage disequilibrium (LD) in case and control groups. All these methods form the building blocks of most screening strategies for disease susceptibility loci in GWAS. In this paper, we are interested in comparing the competing methods and providing practical guidelines for selecting appropriate testing methods for interaction in GWAS. We first review a series of existing statistical methods to detect interactions, and then examine different definitions of interactions to gain insight into the theoretical relationship between the existing testing methods. Lastly, we perform extensive simulations to compare powers of various methods to detect either interaction between two markers at two unlinked loci or the overall association allowing for both interaction and main effects. This investigation reveals informative characteristics of various methods that are helpful to GWAS investigators. äTesting Gene-Gene Interactions in Genome Wide Association Studies (epmc).pdf DeepDyve Pubget Overpricing