MTG2: an efficient algorithm for multivariate linear mixed model analysis based on genomic information: Table 1.

Joint Analysis of Psychiatric Disorders Increases Accuracy of Risk Prediction for Schizophrenia, Bipolar Disorder, and Major Depressive Disorder

(2015) Robert Maier et al.   AMERICAN JOURNAL OF HUMAN GENETICS

New data and an old puzzle: the negative association between schizophrenia and rheumatoid arthritis

(2015) S Hong Lee et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

MultiBLUP: improved SNP-based prediction for complex traits

(2014) Doug Speed et al.   GENOME RESEARCH

Efficient multivariate linear mixed model algorithms for genome-wide association studies

(2014) Xiang Zhou et al.   NATURE METHODS

Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood

(2012) S.H. Lee et al.   BIOINFORMATICS

GCTA: A Tool for Genome-wide Complex Trait Analysis

(2010) Jian Yang et al.   AMERICAN JOURNAL OF HUMAN GENETICS