Genome‐wide significance for dense SNP and resequencing data
暂无分享,去创建一个
C. Hoggart | M. De Iorio | D. Balding | T. Clark | J. Whittaker | T. Clark
[1] Z. Šidák. ON MULTIVARIATE NORMAL PROBABILITIES OF RECTANGLES: THEIR DEPENDENCE ON CORRELATIONS' , 1968 .
[2] Z. Šidák. On Probabilities of Rectangles in Multivariate Student Distributions: Their Dependence on Correlations , 1971 .
[3] E. Lander,et al. Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results , 1995, Nature Genetics.
[4] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[5] N Risch,et al. The Future of Genetic Studies of Complex Human Diseases , 1996, Science.
[6] J. Cheverud,et al. A simple correction for multiple comparisons in interval mapping genome scans , 2001, Heredity.
[7] Joseph L. Gastwirth,et al. Trend Tests for Case-Control Studies of Genetic Markers: Power, Sample Size and Robustness , 2002, Human Heredity.
[8] D. Gudbjartsson,et al. A high-resolution recombination map of the human genome , 2002, Nature Genetics.
[9] John D. Storey,et al. Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[10] Paul T. Groth,et al. The ENCODE (ENCyclopedia Of DNA Elements) Project , 2004, Science.
[11] D. Nyholt. A simple correction for multiple testing for single-nucleotide polymorphisms in linkage disequilibrium with each other. , 2004, American journal of human genetics.
[12] Frank Dudbridge,et al. Efficient computation of significance levels for multiple associations in large studies of correlated data, including genomewide association studies. , 2004, American journal of human genetics.
[13] M. Olivier. A haplotype map of the human genome , 2003, Nature.
[14] M. McCarthy,et al. An evaluation of HapMap sample size and tagging SNP performance in large-scale empirical and simulated data sets , 2005, Nature Genetics.
[15] S. Gabriel,et al. Calibrating a coalescent simulation of human genome sequence variation. , 2005, Genome research.
[16] Qiong Yang,et al. Power and type I error rate of false discovery rate approaches in genome-wide association studies , 2005, BMC Genetics.
[17] 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.
[18] Frank Dudbridge,et al. Evaluation of Nyholt’s Procedure for Multiple Testing Correction , 2005, Human Heredity.
[19] Frank Dudbridge,et al. Detecting multiple associations in genome-wide studies , 2006, Human Genomics.
[20] R. Shamir,et al. A fast method for computing high-significance disease association in large population-based studies. , 2006, American journal of human genetics.
[21] C. Hoggart,et al. Sequence-Level Population Simulations Over Large Genomic Regions , 2007, Genetics.
[22] Simon C. Potter,et al. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls , 2007, Nature.