Gene-Gene Interactions Detection Using a Two-stage Model
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[1] David M. Evans,et al. Two-Stage Two-Locus Models in Genome-Wide Association , 2006, PLoS genetics.
[2] Marcia M. Nizzari,et al. Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels , 2007, Science.
[3] Eleazar Eskin,et al. Rapid and Accurate Multiple Testing Correction and Power Estimation for Millions of Correlated Markers , 2009, PLoS genetics.
[4] B Müller-Myhsok,et al. Rapid simulation of P values for product methods and multiple-testing adjustment in association studies. , 2005, American journal of human genetics.
[5] Eleazar Eskin,et al. Efficiently Identifying Significant Associations in Genome-Wide Association Studies , 2013, RECOMB.
[6] Vineet Bafna,et al. RAPID detection of gene-gene interactions in genome-wide association studies , 2010, Bioinform..
[7] J. Haines,et al. Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer's disease in late onset families. , 1993, Science.
[8] Xihong Lin,et al. Rare-variant association testing for sequencing data with the sequence kernel association test. , 2011, American journal of human genetics.
[9] Simon C. Potter,et al. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls , 2007, Nature.
[10] Deanne M. Taylor,et al. Powerful SNP-set analysis for case-control genome-wide association studies. , 2010, American journal of human genetics.
[11] R. Felder,et al. Combinations of variations in multiple genes are associated with hypertension. , 2000, Hypertension.
[12] Qiang Yang,et al. BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies , 2010, American journal of human genetics.
[13] D. Y. Lin,et al. An efficient Monte Carlo approach to assessing statistical significance in genomic studies , 2005, Bioinform..
[14] Mark I. McCarthy,et al. Early Life Factors and Blood Pressure at Age 31 Years in the 1966 Northern Finland Birth Cohort , 2004, Hypertension.
[15] Ioannis Xenarios,et al. FastEpistasis: a high performance computing solution for quantitative trait epistasis , 2010, Bioinform..
[16] Eleazar Eskin,et al. Increasing Power of Genome-Wide Association Studies by Collecting Additional Single-Nucleotide Polymorphisms , 2011, Genetics.
[17] Sverker Holmgren,et al. Simultaneous search for multiple QTL using the global optimization algorithm DIRECT , 2004, Bioinform..
[18] I. Pe’er,et al. Ultrafast genome-wide scan for SNP–SNP interactions in common complex disease , 2012, Genome research.
[19] Qiang Yang,et al. SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies , 2009, Bioinform..
[20] Pieter H. Reitsma,et al. Mutation in blood coagulation factor V associated with resistance to activated protein C , 1994, Nature.
[21] Xiang Zhang,et al. TEAM: efficient two-locus epistasis tests in human genome-wide association study , 2010, Bioinform..
[22] David V Conti,et al. A testing framework for identifying susceptibility genes in the presence of epistasis. , 2006, American journal of human genetics.
[23] John D. Storey,et al. Genetic interactions between polymorphisms that affect gene expression in yeast , 2005, Nature.
[24] E. D. Yanchina,et al. Gene-Gene Interactions between Glutathione-S Transferase M1 and Matrix Metalloproteinase 9 in the Formation of Hereditary Predisposition to Chronic Obstructive Pulmonary Disease , 2004, Bulletin of Experimental Biology and Medicine.
[25] David Heckerman,et al. A powerful and efficient set test for genetic markers that handles confounders , 2012, Bioinform..
[26] M. Daly,et al. Guilt by association , 2000, Nature Genetics.