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Improved linear mixed models for genome-wide association studies

Improved linear mixed models for genome-wide association studies

http://www.wikidata.org/entity/Q36683291

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The advantages and limitations of trait analysis with GWAS: a review Rare-variant association analysis: study designs and statistical tests Genetic architecture of artemisinin-resistant Plasmodium falciparum Association Analysis in Rice: From Application to Utilization A SUPER powerful method for genome wide association study Integration of genome-wide association and extant brain expression QTL identifies candidate genes influencing prepulse inhibition in inbred F1 mice.Genetic associations of nonsynonymous exonic variants with psychophysiological endophenotypes.High-resolution genetic mapping of complex traits from a combined analysis of F2 and advanced intercross mice Efficient Bayesian mixed-model analysis increases association power in large cohorts.Practical considerations regarding the use of genotype and pedigree data to model relatedness in the context of genome-wide association studies Genome-wide association study for conformation traits in three Danish pig breeds.Comparison of methods to account for relatedness in genome-wide association studies with family-based data.Accounting for relatedness in family-based association studies: application to Genetic Analysis Workshop 18 data A powerful and efficient set test for genetic markers that handles confounders Adjusting for Familial Relatedness in the Analysis of GWAS Data.Fast Genome-Wide QTL Association Mapping on Pedigree and Population Data.Recovering power in association mapping panels with variable levels of linkage disequilibrium.A new genotype imputation method with tolerance to high missing rate and rare variants Improving the power of GWAS and avoiding confounding from population stratification with PC-Select.Fine-mapping QTLs in advanced intercross lines and other outbred populations.Discovery and refinement of muscle weight QTLs in B6 × D2 advanced intercross mice MultiBLUP: improved SNP-based prediction for complex traits.Identifying causal variants at loci with multiple signals of association Efficient multivariate linear mixed model algorithms for genome-wide association studies Greater power and computational efficiency for kernel-based association testing of sets of genetic variants.Further improvements to linear mixed models for genome-wide association studies.An exhaustive epistatic SNP association analysis on expanded Wellcome Trust data.A phylogeny-based sampling strategy and power calculator informs genome-wide associations study design for microbial pathogens.Stochastic changes over time and not founder effects drive cage effects in microbial community assembly in a mouse model.Correcting for population structure and kinship using the linear mixed model: theory and extensions.Age- and gender-dependent heterogeneous proportion of variation explained by SNPs in quantitative traits reflecting human health Genome wide association studies using a new nonparametric model reveal the genetic architecture of 17 agronomic traits in an enlarged maize association panel The genomic and phenotypic diversity of Schizosaccharomyces pombe.The genetic architecture of NAFLD among inbred strains of mice Mapping of Craniofacial Traits in Outbred Mice Identifies Major Developmental Genes Involved in Shape Determination Genome-wide association mapping revealed a diverse genetic basis of seed dormancy across subpopulations in rice (Oryza sativa L.).Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies Accounting for Population Structure in Gene-by-Environment Interactions in Genome-Wide Association Studies Using Mixed Models Identification of causal genes for complex traits.Genome-wide association study of behavioral, physiological and gene expression traits in outbred CFW mice.

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Improved linear mixed models for genome-wide association studies

http://www.wikidata.org/entity/Q36683291

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2012年论文

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name

Improved linear mixed models for genome-wide association studies

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Improved linear mixed models for genome-wide association studies

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Improved linear mixed models for genome-wide association studies

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Improved linear mixed models for genome-wide association studies

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Improved linear mixed models for genome-wide association studies

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Improved linear mixed models for genome-wide association studies

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Improved linear mixed models for genome-wide association studies

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Carl M Kadie

http://www.w3.org/2001/XMLSchema#string

David Heckerman

http://www.w3.org/2001/XMLSchema#string

Jennifer Listgarten

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Robert I Davidson

http://www.w3.org/2001/XMLSchema#string

P2860

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies

Variance component model to account for sample structure in genome-wide association studies

Logistic regression protects against population structure in genetic association studies.

FaST linear mixed models for genome-wide association studies.

Increased accuracy of artificial selection by using the realized relationship matrix.

P2888

P304

525-526

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scholarly article

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10.1038/NMETH.2037

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6

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9

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Christoph Lippert

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2012-05-30T00:00:00Z

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225273057

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22669648

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genome-wide association study

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3597090

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