A Nonparametric Test to Detect Quantitative Trait Loci Where the Phenotypic Distribution Differs by Genotypes
暂无分享,去创建一个
Peter Kraft | Noah Zaitlen | Hugues Aschard | Sara Lindström | Rulla M Tamimi | P. Kraft | R. Tamimi | S. Lindström | H. Aschard | N. Zaitlen
[1] J. Hein,et al. Detecting interacting genetic loci with effects on quantitative traits where the nature and order of the interaction are unknown , 2010, Genetic epidemiology.
[2] Erica H Brittain,et al. P-values for the multi-sample kolmogorov-smirnov test using the expanded bonferroni appoximation , 1987 .
[3] H. Cordell. Detecting gene–gene interactions that underlie human diseases , 2009, Nature Reviews Genetics.
[4] J. H. Moore,et al. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. , 2001, American journal of human genetics.
[5] W. Willett,et al. A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer , 2007, Nature Genetics.
[6] L. Cupples,et al. Bias due to two‐stage residual‐outcome regression analysis in genetic association studies , 2011, Genetic epidemiology.
[7] Peter Kraft,et al. Inclusion of gene-gene and gene-environment interactions unlikely to dramatically improve risk prediction for complex diseases. , 2012, American journal of human genetics.
[8] David M. Reif,et al. Machine Learning for Detecting Gene-Gene Interactions , 2006, Applied bioinformatics.
[9] J. Ott,et al. Selecting SNPs in two‐stage analysis of disease association data: a model‐free approach , 2000, Annals of human genetics.
[10] N F Boyd,et al. Symmetry of projection in the quantitative analysis of mammographic images , 1996, European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation.
[11] R W Doerge,et al. Naive Application of Permutation Testing Leads to Inflated Type I Error Rates , 2008, Genetics.
[12] P. Donnelly,et al. Genome-wide strategies for detecting multiple loci that influence complex diseases , 2005, Nature Genetics.
[13] Graham A. Colditz,et al. The Nurses' Health Study: lifestyle and health among women , 2005, Nature Reviews Cancer.
[14] Beate Ritz,et al. Genome-Wide Gene-Environment Study Identifies Glutamate Receptor Gene GRIN2A as a Parkinson's Disease Modifier Gene via Interaction with Coffee , 2011, PLoS genetics.
[15] G. Colditz,et al. Common genetic variation in IGF1, IGFBP-1, and IGFBP-3 in relation to mammographic density: a cross-sectional study , 2007, Breast Cancer Research.
[16] D. Hunter. Gene–environment interactions in human diseases , 2005, Nature Reviews Genetics.
[17] P. Sham,et al. Adjusting for Covariates in Variance Components QTL Linkage Analysis , 2004, Behavior genetics.
[18] M. LeBlanc,et al. Increasing the power of identifying gene × gene interactions in genome‐wide association studies , 2008, Genetic epidemiology.
[19] Matthew Reimherr,et al. You've Gotta Be Lucky: Coverage and the Elusive Gene–Gene Interaction , 2011, Annals of human genetics.
[20] David Clayton,et al. Epidemiological methods for studying genes and environmental factors in complex diseases , 2001, The Lancet.
[21] Paul M. Ridker,et al. On the Use of Variance per Genotype as a Tool to Identify Quantitative Trait Interaction Effects: A Report from the Women's Genome Health Study , 2010, PLoS genetics.
[22] M. Daly,et al. Genome-wide association studies for common diseases and complex traits , 2005, Nature Reviews Genetics.
[23] T. Ogihara,et al. Detection of common single nucleotide polymorphisms synthesizing quantitative trait association of rarer causal variants. , 2011, Genome research.
[24] Heli Nevanlinna,et al. The importance of replication in gene-gene interaction studies: multifactor dimensionality reduction applied to a two-stage breast cancer case-control study. , 2008, Carcinogenesis.
[25] Judy H. Cho,et al. Finding the missing heritability of complex diseases , 2009, Nature.
[26] Jaeil Ahn,et al. Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons. , 2012, American journal of epidemiology.
[27] Andrei Yakovlev,et al. A C++ Program for the Cramér-Von Mises Two-Sample Test , 2006 .
[28] Jason H. Moore,et al. Missing heritability and strategies for finding the underlying causes of complex disease , 2010, Nature Reviews Genetics.
[29] Jun S. Liu,et al. Bayesian inference of epistatic interactions in case-control studies , 2007, Nature Genetics.
[30] Peter Kraft,et al. Gene-environment interactions in genome-wide association studies: a comparative study of tests applied to empirical studies of type 2 diabetes. , 2012, American journal of epidemiology.
[31] Peter Kraft,et al. The Impact of Gene-Environment Dependence and Misclassification in Genetic Association Studies Incorporating Gene-Environment Interactions , 2009, Human Heredity.
[32] E. Stone,et al. The genetics of quantitative traits: challenges and prospects , 2009, Nature Reviews Genetics.
[33] D. Thomas,et al. Gene–environment-wide association studies: emerging approaches , 2010, Nature Reviews Genetics.
[34] Peter Kraft,et al. Exploiting Gene-Environment Interaction to Detect Genetic Associations , 2007, Human Heredity.
[35] P. Phillips. Epistasis — the essential role of gene interactions in the structure and evolution of genetic systems , 2008, Nature Reviews Genetics.
[36] Peter Kraft,et al. Common variants in ZNF365 are associated with both mammographic density and breast cancer risk , 2011, Nature Genetics.
[37] W. Gauderman,et al. Gene-environment interaction in genome-wide association studies. , 2008, American journal of epidemiology.
[38] David M. Evans,et al. Two-Stage Two-Locus Models in Genome-Wide Association , 2006, PLoS genetics.
[39] P. O'Brien,et al. Comparing Two Samples: Extensions of the t, Rank-Sum, and Log-Rank Tests , 1988 .
[40] Michael Mitzenmacher,et al. Detecting Novel Associations in Large Data Sets , 2011, Science.