lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals

solarius: an R interface to SOLAR for variance component analysis in pedigrees

(2016) Andrey Ziyatdinov et al.   BIOINFORMATICS

Genetic Determinants of Thrombin Generation and Their Relation to Venous Thrombosis: Results from the GAIT-2 Project

(2016) Laura Martin-Fernandez et al.   PLoS One

Fitting Linear Mixed-Effects Models Usinglme4

(2015) Douglas Bates et al.   Journal of Statistical Software

Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis

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

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

(2014) Jian Yang et al.   NATURE GENETICS

Genetic Associations for Activated Partial Thromboplastin Time and Prothrombin Time, their Gene Expression Profiles, and Risk of Coronary Artery Disease

(2012) Weihong Tang et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Genome-wide efficient mixed-model analysis for association studies

(2012) Xiang Zhou et al.   NATURE GENETICS

FaST linear mixed models for genome-wide association studies

(2011) Christoph Lippert et al.   NATURE METHODS

Statistical Genetic Approaches to Human Adaptability

(2010) J. Blangero   HUMAN BIOLOGY

Technical note: An R package for fitting generalized linear mixed models in animal breeding1

(2009) A. I. Vazquez et al.   JOURNAL OF ANIMAL SCIENCE

Efficient Control of Population Structure in Model Organism Association Mapping

(2008) H. M. Kang et al.   GENETICS

Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models

(2007) Fabian Scheipl et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS