Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance components analysis
暂无分享,去创建一个
N. Wray | M. O’Donovan | N. Patterson | B. Neale | Po-Ru Loh | A. Price | K. Kendler | S. Lee | Samuela J. Pollack | H. Finucane | A. Gusev | B. Bulik-Sullivan | G. Bhatia | Teresa R de Candia | Po-ru Loh | Teresa R. de Candia | A. Price
[1] C. Spencer,et al. A contribution of novel CNVs to schizophrenia from a genome-wide study of 41,321 subjects: CNV Analysis Group and the Schizophrenia Working Group of the Psychiatric Genomics Consortium , 2016, bioRxiv.
[2] Yakir A Reshef,et al. Partitioning heritability by functional annotation using genome-wide association summary statistics , 2015, Nature Genetics.
[3] Sayan Mukherjee,et al. Fast principal components analysis reveals convergent evolution of ADH1B gene in Europe and East Asia , 2015, bioRxiv.
[4] M. Daly,et al. An Atlas of Genetic Correlations across Human Diseases and Traits , 2015, Nature Genetics.
[5] Ross M. Fraser,et al. Genetic studies of body mass index yield new insights for obesity biology , 2015, Nature.
[6] Peter Kraft,et al. Adjusting for heritable covariates can bias effect estimates in genome-wide association studies. , 2015, American journal of human genetics.
[7] Han Xu,et al. Partitioning heritability by functional category using GWAS summary statistics , 2015, bioRxiv.
[8] J. Hirschhorn,et al. Biological interpretation of genome-wide association studies using predicted gene functions , 2015, Nature Communications.
[9] S. O’Brien,et al. SmileFinder: a resampling-based approach to evaluate signatures of selection from genome-wide sets of matching allele frequency data in two or more diploid populations , 2015, GigaScience.
[10] S. Rosset,et al. Measuring missing heritability: Inferring the contribution of common variants , 2014, Proceedings of the National Academy of Sciences.
[11] Han Xu,et al. Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases. , 2014, American journal of human genetics.
[12] Peter M. Visscher,et al. A General Unified Framework to Assess the Sampling Variance of Heritability Estimates Using Pedigree or Marker-Based Relationships , 2014, Genetics.
[13] Carson C Chow,et al. Second-generation PLINK: rising to the challenge of larger and richer datasets , 2014, GigaScience.
[14] Ross M. Fraser,et al. Defining the role of common variation in the genomic and biological architecture of adult human height , 2014, Nature Genetics.
[15] B. Berger,et al. Efficient Bayesian mixed model analysis increases association power in large cohorts , 2014, Nature Genetics.
[16] C. Spencer,et al. Biological Insights From 108 Schizophrenia-Associated Genetic Loci , 2014, Nature.
[17] Doug Speed,et al. MultiBLUP: improved SNP-based prediction for complex traits , 2014, Genome research.
[18] John D. Blischak,et al. Methylation QTLs Are Associated with Coordinated Changes in Transcription Factor Binding, Histone Modifications, and Gene Expression Levels , 2014, bioRxiv.
[19] Bonnie Berger,et al. Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select , 2014, Genetics.
[20] Naomi R. Wray,et al. Statistical Power to Detect Genetic (Co)Variance of Complex Traits Using SNP Data in Unrelated Samples , 2014, PLoS genetics.
[21] M. Stephens,et al. Efficient Algorithms for Multivariate Linear Mixed Models in Genome-wide Association Studies , 2013, Nature Methods.
[22] Tanya M. Teslovich,et al. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility , 2014, Nature Genetics.
[23] P. Visscher,et al. Advantages and pitfalls in the application of mixed-model association methods , 2014, Nature Genetics.
[24] M. Daly,et al. Searching for missing heritability: Designing rare variant association studies , 2014, Proceedings of the National Academy of Sciences.
[25] Ismo Strandén,et al. Employing a Monte Carlo Algorithm in Newton-Type Methods for Restricted Maximum Likelihood Estimation of Genetic Parameters , 2013, PloS one.
[26] Stephan Ripke,et al. Estimation of SNP heritability from dense genotype data. , 2013, American journal of human genetics.
[27] Alkes L. Price,et al. Quantifying Missing Heritability at Known GWAS Loci , 2013, PLoS genetics.
[28] Ryan S. Lee,et al. Linking the SWI/SNF complex to prostate cancer , 2013, Nature Genetics.
[29] Tanya M. Teslovich,et al. Discovery and refinement of loci associated with lipid levels , 2013, Nature Genetics.
[30] Simon C. Potter,et al. Genome-wide Association Analysis Identifies 14 New Risk Loci for Schizophrenia , 2013, Nature Genetics.
[31] Jianxin Shi,et al. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs , 2013, Nature Genetics.
[32] Kari Stefansson,et al. Meta-analysis of genome-wide association studies identifies ten loci influencing allergic sensitization , 2013, Nature Genetics.
[33] Chuong B. Do,et al. A genome-wide association meta-analysis of self-reported allergy identifies shared and allergy-specific susceptibility loci , 2013, Nature Genetics.
[34] K. Lohmueller. The Impact of Population Demography and Selection on the Genetic Architecture of Complex Traits , 2013, PLoS genetics.
[35] Chia-Yen Chen,et al. Improved ancestry inference using weights from external reference panels , 2013, Bioinform..
[36] G. Ast,et al. DNA-methylation effect on cotranscriptional splicing is dependent on GC architecture of the exon–intron structure , 2013, Genome research.
[37] Eleazar Eskin,et al. Improving the accuracy and efficiency of partitioning heritability into the contributions of genomic regions. , 2013, American journal of human genetics.
[38] Doug Speed,et al. Improved heritability estimation from genome-wide SNPs. , 2012, American journal of human genetics.
[39] Paz Polak,et al. Differential relationship of DNA replication timing to different forms of human mutation and variation. , 2012, American journal of human genetics.
[40] M. Lidauer,et al. Employing a Monte Carlo algorithm in expectation maximization restricted maximum likelihood estimation of the linear mixed model. , 2012, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.
[41] Sang Hong Lee,et al. Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood , 2012, Bioinform..
[42] Xiang Zhou,et al. Polygenic Modeling with Bayesian Sparse Linear Mixed Models , 2012, PLoS genetics.
[43] Bjarni J. Vilhjálmsson,et al. A mixed-model approach for genome-wide association studies of correlated traits in structured populations , 2012, Nature Genetics.
[44] David Heckerman,et al. A powerful and efficient set test for genetic markers that handles confounders , 2012, Bioinform..
[45] Jasmin Divers,et al. Population Structure of Hispanics in the United States: The Multi-Ethnic Study of Atherosclerosis , 2012, PLoS genetics.
[46] Peter Kraft,et al. Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis , 2012, Nature Genetics.
[47] Shashaank Vattikuti,et al. Heritability and Genetic Correlations Explained by Common SNPs for Metabolic Syndrome Traits , 2012, PLoS genetics.
[48] Stephan Ripke,et al. Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs , 2012, Nature Genetics.
[49] P. Sullivan. Puzzling over schizophrenia: Schizophrenia as a pathway disease , 2012, Nature Medicine.
[50] Greg Gibson,et al. Rare and common variants: twenty arguments , 2012, Nature Reviews Genetics.
[51] Anders D. Børglum,et al. Genome-wide association study identifies five new schizophrenia loci , 2011, Nature Genetics.
[52] Ying Liu,et al. FaST linear mixed models for genome-wide association studies , 2011, Nature Methods.
[53] Manuel A. R. Ferreira,et al. Identification of IL6R and chromosome 11q13.5 as risk loci for asthma , 2011, The Lancet.
[54] Simon Cawley,et al. Next generation genome-wide association tool: design and coverage of a high-throughput European-optimized SNP array. , 2011, Genomics.
[55] W. G. Hill,et al. Genome partitioning of genetic variation for complex traits using common SNPs , 2011, Nature Genetics.
[56] P. Visscher,et al. Estimating missing heritability for disease from genome-wide association studies. , 2011, American journal of human genetics.
[57] P. Visscher,et al. GCTA: a tool for genome-wide complex trait analysis. , 2011, American journal of human genetics.
[58] Josyf Mychaleckyj,et al. Robust relationship inference in genome-wide association studies , 2010, Bioinform..
[59] P. Visscher,et al. Common SNPs explain a large proportion of heritability for human height , 2011 .
[60] D. Goldstein. Common genetic variation and human traits. , 2009, The New England journal of medicine.
[61] P. Visscher,et al. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder , 2009, Nature.
[62] P. Green,et al. Widespread Genomic Signatures of Natural Selection in Hominid Evolution , 2009, PLoS genetics.
[63] P. VanRaden,et al. Efficient methods to compute genomic predictions. , 2008, Journal of dairy science.
[64] D. Heckerman,et al. Efficient Control of Population Structure in Model Organism Association Mapping , 2008, Genetics.
[65] Zhaohui S. Qin,et al. A second generation human haplotype map of over 3.1 million SNPs , 2007, Nature.
[66] Nicholas I. M. Gould,et al. Sensitivity of trust-region algorithms to their parameters , 2005, 4OR.
[67] J. McGrath,et al. A Systematic Review of the Prevalence of Schizophrenia , 2005, PLoS medicine.
[68] Yoshua Bengio,et al. No Unbiased Estimator of the Variance of K-Fold Cross-Validation , 2003, J. Mach. Learn. Res..
[69] Krister Svanberg,et al. A Class of Globally Convergent Optimization Methods Based on Conservative Convex Separable Approximations , 2002, SIAM J. Optim..
[70] J. Foulley,et al. The PX-EM algorithm for fast stable fitting of Henderson's mixed model , 2000, Genetics Selection Evolution.
[71] Jun S. Liu,et al. Parameter Expansion for Data Augmentation , 1999 .
[72] Ronald P. Barry,et al. Monte Carlo estimates of the log determinant of large sparse matrices , 1999 .
[73] A. Kuk,et al. The monte carlo newton-raphson algorithm , 1997 .
[74] C. McCulloch. Maximum Likelihood Algorithms for Generalized Linear Mixed Models , 1997 .
[75] Robin Thompson,et al. Average information REML: An efficient algorithm for variance parameter estimation in linear mixed models , 1995 .
[76] E. Groeneveld. A reparameterization to improve numerical optimization in multivariate REML (co)variance component estimation , 1994, Genetics Selection Evolution.
[77] Dieter Kraft,et al. Algorithm 733: TOMP–Fortran modules for optimal control calculations , 1994, TOMS.
[78] Luis Varona,et al. Variance component estimation by resampling , 1992 .
[79] G. C. Wei,et al. A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms , 1990 .
[80] J. Cheverud,et al. A COMPARISON OF GENETIC AND PHENOTYPIC CORRELATIONS , 1988, Evolution; international journal of organic evolution.
[81] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[82] R. L. Quaas,et al. Multiple Trait Evaluation Using Relatives' Records , 1976 .
[83] R. Elston,et al. The investigation of linkage between a quantitative trait and a marker locus , 1972, Behavior genetics.
[84] J. Shields,et al. A polygenic theory of schizophrenia. , 1972, Proceedings of the National Academy of Sciences of the United States of America.
[85] H. D. Patterson,et al. Recovery of inter-block information when block sizes are unequal , 1971 .
[86] D. Falconer. The inheritance of liability to certain diseases, estimated from the incidence among relatives , 1965 .
[87] P. Sullivan. Schizophrenia as a pathway disease , 2014 .
[88] M. Szklo,et al. The Multi-Ethnic Study of Atherosclerosis (MESA) , 2012 .
[89] Ole Tange,et al. GNU Parallel: The Command-Line Power Tool , 2011, login Usenix Mag..
[90] I Misztal,et al. Technical note: Computing strategies in genome-wide selection. , 2008, Journal of dairy science.
[91] Karin Meyer,et al. PX * AI: algorithmics for better convergence in restricted maximum likelihood estimation. , 2006 .
[92] Karl J. Friston,et al. Variance Components , 2003 .
[93] S. R. Searle,et al. Generalized, Linear, and Mixed Models , 2005 .
[94] C. R. Henderson. Applications of linear models in animal breeding , 1984 .
[95] C. R. Henderson,et al. Multiple trait evaluation using relatives' records [Beef cattle]. , 1976 .