Testing for genetic associations in arbitrarily structured populations
暂无分享,去创建一个
[1] S. S. Wilks. The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses , 1938 .
[2] B. Weir,et al. ESTIMATING F‐STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE , 1984, Evolution; international journal of organic evolution.
[3] J. Pritchard,et al. Use of unlinked genetic markers to detect population stratification in association studies. , 1999, American journal of human genetics.
[4] K. Roeder,et al. Genomic Control for Association Studies , 1999, Biometrics.
[5] P. Donnelly,et al. Inference of population structure using multilocus genotype data. , 2000, Genetics.
[6] M. Feldman,et al. Genetic Structure of Human Populations , 2002, Science.
[7] Xiaofeng Zhu,et al. On a semiparametric test to detect associations between quantitative traits and candidate genes using unrelated individuals , 2003, Genetic epidemiology.
[8] D. Reich,et al. Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.
[9] Lothar Reichel,et al. Restarted block Lanczos bidiagonalization methods , 2007, Numerical Algorithms.
[10] M. McMullen,et al. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness , 2006, Nature Genetics.
[11] Richard A. Nichols,et al. A method for quantifying differentiation between populations at multi-allelic loci and its implications for investigating identity and paternity , 2008, Genetica.
[12] Simon C. Potter,et al. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls , 2007, Nature.
[13] R. Tibshirani,et al. Sparse inverse covariance estimation with the graphical lasso. , 2008, Biostatistics.
[14] M. McCarthy,et al. Genome-wide association studies for complex traits: consensus, uncertainty and challenges , 2008, Nature Reviews Genetics.
[15] P. Bickel,et al. Regularized estimation of large covariance matrices , 2008, 0803.1909.
[16] F. Dudbridge,et al. Estimation of significance thresholds for genomewide association scans , 2008, Genetic epidemiology.
[17] D. Strachan,et al. LDL-cholesterol concentrations: a genome-wide association study , 2008, The Lancet.
[18] William J. Astle,et al. Population Structure and Cryptic Relatedness in Genetic Association Studies , 2009, 1010.4681.
[19] R. Tibshirani,et al. A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. , 2009, Biostatistics.
[20] Inês Barroso,et al. Meta-Analysis of Genome-Wide Scans for Human Adult Stature Identifies Novel Loci and Associations with Measures of Skeletal Frame Size , 2009, PLoS genetics.
[21] C. Hoggart,et al. Genome-wide association analysis of metabolic traits in a birth cohort from a founder population , 2008, Nature Genetics.
[22] Inês Barroso,et al. Variants in MTNR1B influence fasting glucose levels , 2009, Nature Genetics.
[23] K. Frazer,et al. Human genetic variation and its contribution to complex traits , 2009, Nature Reviews Genetics.
[24] Alkes L. Price,et al. New approaches to population stratification in genome-wide association studies , 2010, Nature Reviews Genetics.
[25] H. Kang,et al. Variance component model to account for sample structure in genome-wide association studies , 2010, Nature Genetics.
[26] Mark I McCarthy,et al. Genomic inflation factors under polygenic inheritance , 2011, European Journal of Human Genetics.
[27] M. Stephens,et al. Genome-wide Efficient Mixed Model Analysis for Association Studies , 2012, Nature Genetics.
[28] Kai Wang,et al. An Analytical Comparison of the Principal Component Method and the Mixed Effects Model for Association Studies in the Presence of Cryptic Relatedness and Population Stratification , 2013, Human Heredity.
[29] 田原 康玄,et al. 生活習慣病とgenome-wide association study , 2015 .
[30] Wei Hao,et al. Probabilistic models of genetic variation in structured populations applied to global human studies , 2013, Bioinform..