Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies

Efficient Bayesian mixed-model analysis increases association power in large cohorts

(2015) Po-Ru Loh et al.   NATURE GENETICS

Enrichment of statistical power for genome-wide association studies

(2014) Meng Li et al.   BMC BIOLOGY

Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select

(2014) G. Tucker et al.   GENETICS

Advantages and pitfalls in the application of mixed-model association methods

(2014) Jian Yang et al.   NATURE GENETICS

Further Improvements to Linear Mixed Models for Genome-Wide Association Studies

(2014) Christian Widmer et al.   Scientific Reports

Lessons from Dwarf8 on the Strengths and Weaknesses of Structured Association Mapping

(2013) Sara J. Larsson et al.   PLoS Genetics

GAPIT: genome association and prediction integrated tool

(2012) Alexander E. Lipka et al.   BIOINFORMATICS

A comparison of statistical methods for genomic selection in a mice population

(2012) Haroldo HR Neves et al.   BMC GENETICS

Genome-wide association analysis identifies new lung cancer susceptibility loci in never-smoking women in Asia

(2012) Qing Lan et al.   NATURE GENETICS

Rapid variance components–based method for whole-genome association analysis

(2012) Gulnara R Svishcheva et al.   NATURE GENETICS

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

Genome-wide association study of leaf architecture in the maize nested association mapping population

(2011) Feng Tian et al.   NATURE GENETICS

FaST linear mixed models for genome-wide association studies

(2011) Christoph Lippert et al.   NATURE METHODS

Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines

(2010) Susanna Atwell et al.   NATURE

Common SNPs explain a large proportion of the heritability for human height

(2010) Jian Yang et al.   NATURE GENETICS

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

A Commentary on ‘Common SNPs Explain a Large Proportion of the Heritability for Human Height’ by Yang et al. (2010)

(2010) Peter M. Visscher et al.   Twin Research and Human Genetics

Human genetic variation and its contribution to complex traits

(2009) Kelly A. Frazer et al.   NATURE REVIEWS GENETICS

A Genealogical Interpretation of Principal Components Analysis

(2009) Gil McVean   PLoS Genetics

Efficient Control of Population Structure in Model Organism Association Mapping

(2008) H. M. Kang et al.   GENETICS

Efficient Methods to Compute Genomic Predictions

(2008) P.M. VanRaden   JOURNAL OF DAIRY SCIENCE

Principal component analysis of genetic data

(2008) David Reich et al.   NATURE GENETICS