Efficient computation of significance levels for multiple associations in large studies of correlated data, including genomewide association studies.
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[1] Frank Dudbridge,et al. Rank truncated product of P‐values, with application to genomewide association scans , 2003, Genetic epidemiology.
[2] B W Brown,et al. Methods of correcting for multiple testing: operating characteristics. , 1997, Statistics in medicine.
[3] D. Clayton,et al. A unified stepwise regression procedure for evaluating the relative effects of polymorphisms within a gene using case/control or family data: application to HLA in type 1 diabetes. , 2002, American journal of human genetics.
[4] Ivo Grosse,et al. Gene selection criterion for discriminant microarray data analysis based on extreme value distributions , 2003, RECOMB '03.
[5] E. Gumbel,et al. Statistics of extremes , 1960 .
[6] Nelson B Freimer,et al. Genomewide linkage disequilibrium mapping of severe bipolar disorder in a population isolate. , 2002, American journal of human genetics.
[7] J. Todd,et al. Limitations of stratifying sib-pair data in common disease linkage studies: an example using chromosome 10p14-10q11 in type 1 diabetes. , 2002, American journal of medical genetics.
[8] A. Schulze,et al. Navigating gene expression using microarrays — a technology review , 2001, Nature Cell Biology.
[9] M. O’Donovan,et al. DNA Pooling: a tool for large-scale association studies , 2002, Nature Reviews Genetics.
[10] Juliet M Chapman,et al. Detecting Disease Associations due to Linkage Disequilibrium Using Haplotype Tags: A Class of Tests and the Determinants of Statistical Power , 2003, Human Heredity.
[11] Nelson B Freimer,et al. Cost-effective designs for linkage disequilibrium mapping of complex traits. , 2003, American journal of human genetics.
[12] J. Ott,et al. Mathematical multi-locus approaches to localizing complex human trait genes , 2003, Nature Reviews Genetics.
[13] Pardis C Sabeti,et al. Linkage disequilibrium in the human genome , 2001, Nature.
[14] Paul Schliekelman,et al. Multiplex relative risk and estimation of the number of loci underlying an inherited disease. , 2002, American journal of human genetics.
[15] Xiping Xu,et al. Power estimation of multiple SNP association test of case‐control study and application , 2004, Genetic epidemiology.
[16] Y. Ohnishi,et al. Functional SNPs in the lymphotoxin-α gene that are associated with susceptibility to myocardial infarction , 2003, Nature Genetics.
[17] Dmitri V. Zaykin,et al. Statistical Analysis of Genetic Associations , 1999 .
[18] Stan Pounds,et al. Estimating the Occurrence of False Positives and False Negatives in Microarray Studies by Approximating and Partitioning the Empirical Distribution of P-values , 2003, Bioinform..
[19] William Noble Grundy,et al. Classifying proteins by family using the product of correlated p-values , 1999, RECOMB.
[20] J. Cheverud,et al. A simple correction for multiple comparisons in interval mapping genome scans , 2001, Heredity.
[21] Melissa A. Austin,et al. Genebanks: A Comparison of Eight Proposed International Genetic Databases , 2003, Public Health Genomics.
[22] R. Doerge,et al. Empirical threshold values for quantitative trait mapping. , 1994, Genetics.
[23] B S Weir,et al. Truncated product method for combining P‐values , 2002, Genetic epidemiology.
[24] R. Fisher,et al. Statistical Methods for Research Workers , 1930, Nature.
[25] Nicholas W Wood,et al. Selection and evaluation of tagging SNPs in the neuronal-sodium-channel gene SCN1A: implications for linkage-disequilibrium gene mapping. , 2003, American journal of human genetics.
[26] F. Pesarin. Multivariate Permutation Tests : With Applications in Biostatistics , 2001 .
[27] N Risch,et al. The Future of Genetic Studies of Complex Human Diseases , 1996, Science.
[28] R. Simes,et al. An improved Bonferroni procedure for multiple tests of significance , 1986 .
[29] Jurg Ott,et al. Sum statistics for the joint detection of multiple disease loci in case‐control association studies with SNP markers , 2003, Genetic epidemiology.
[30] Chiara Sabatti,et al. False discovery rate in linkage and association genome screens for complex disorders. , 2003, Genetics.
[31] S. Karlin,et al. Methods for assessing the statistical significance of molecular sequence features by using general scoring schemes. , 1990, Proceedings of the National Academy of Sciences of the United States of America.
[32] John D. Storey,et al. Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[33] J. Pritchard. Are rare variants responsible for susceptibility to complex diseases? , 2001, American journal of human genetics.
[34] F. Dudbridge. Pedigree disequilibrium tests for multilocus haplotypes , 2003, Genetic epidemiology.
[35] P. Goodfellow,et al. A whole genome screen for linkage disequilibrium in multiple sclerosis confirms disease associations with regions previously linked to susceptibility. , 2002, Brain : a journal of neurology.
[36] C. Begg,et al. Two‐Stage Designs for Gene–Disease Association Studies , 2002, Biometrics.
[37] D. Nyholt. A simple correction for multiple testing for single-nucleotide polymorphisms in linkage disequilibrium with each other. , 2004, American journal of human genetics.
[38] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[39] N. Risch. Searching for genetic determinants in the new millennium , 2000, Nature.
[40] Gudmundur A. Thorisson,et al. The International HapMap Project Web site. , 2005, Genome research.
[41] Z. Šidák. Rectangular Confidence Regions for the Means of Multivariate Normal Distributions , 1967 .
[42] J. Ott,et al. Trimming, weighting, and grouping SNPs in human case-control association studies. , 2001, Genome research.