标题
Further Improvements to Linear Mixed Models for Genome-Wide Association Studies
作者
关键词
-
出版物
Scientific Reports
Volume 4, Issue 1, Pages -
出版商
Springer Nature
发表日期
2014-11-12
DOI
10.1038/srep06874
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select
- (2014) G. Tucker et al. GENETICS
- MultiBLUP: improved SNP-based prediction for complex traits
- (2014) Doug Speed et al. GENOME RESEARCH
- Advantages and pitfalls in the application of mixed-model association methods
- (2014) Jian Yang et al. NATURE GENETICS
- Analyzing Genome-Wide Association Studies with an FDR Controlling Modification of the Bayesian Information Criterion
- (2014) Erich Dolejsi et al. PLoS One
- A powerful and efficient set test for genetic markers that handles confounders
- (2013) Jennifer Listgarten et al. BIOINFORMATICS
- FaST-LMM-Select for addressing confounding from spatial structure and rare variants
- (2013) Jennifer Listgarten et al. NATURE GENETICS
- Correcting for Population Structure and Kinship Using the Linear Mixed Model: Theory and Extensions
- (2013) Gabriel E. Hoffman PLoS One
- The benefits of selecting phenotype-specific variants for applications of mixed models in genomics
- (2013) Christoph Lippert et al. Scientific Reports
- Polygenic Modeling with Bayesian Sparse Linear Mixed Models
- (2013) Xiang Zhou et al. PLoS Genetics
- A Lasso multi-marker mixed model for association mapping with population structure correction
- (2012) Barbara Rakitsch et al. BIOINFORMATICS
- An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations
- (2012) Vincent Segura et al. NATURE GENETICS
- Genome-wide efficient mixed-model analysis for association studies
- (2012) Xiang Zhou et al. NATURE GENETICS
- Improved linear mixed models for genome-wide association studies
- (2012) Jennifer Listgarten et al. NATURE METHODS
- Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
- (2011) Stephen Sawcer et al. NATURE
- FaST linear mixed models for genome-wide association studies
- (2011) Christoph Lippert et al. NATURE METHODS
- Control of Population Stratification by Correlation-Selected Principal Components
- (2010) Seunggeun Lee et al. BIOMETRICS
- Mixed linear model approach adapted for genome-wide association studies
- (2010) Zhiwu Zhang et al. NATURE GENETICS
- Variance component model to account for sample structure in genome-wide association studies
- (2010) Hyun Min Kang et al. NATURE GENETICS
- New approaches to population stratification in genome-wide association studies
- (2010) Alkes L. Price et al. NATURE REVIEWS GENETICS
- Increased accuracy of artificial selection by using the realized relationship matrix
- (2009) B. J. HAYES et al. Genetics Research
- Efficient Control of Population Structure in Model Organism Association Mapping
- (2008) H. M. Kang et al. GENETICS
- Genome-wide association analysis of metabolic traits in a birth cohort from a founder population
- (2008) Chiara Sabatti et al. NATURE GENETICS
- Interpreting principal component analyses of spatial population genetic variation
- (2008) John Novembre et al. NATURE GENETICS
- Simultaneous Analysis of All SNPs in Genome-Wide and Re-Sequencing Association Studies
- (2008) Clive J. Hoggart et al. PLoS Genetics
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More