GCTA: a tool for genome-wide complex trait analysis.

By Jian Yang, S. H. Lee, Michael E. Goddard, Peter M. Visscher. American Journal of Human Genetics, 2011

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A visual analytics approach to understanding cycling behaviour (2012, neutral): “U d ) which is presented in Figure 11 along with the experimental results of Dai and Faeth [46] ( We =15-150 and ε =680-850).”
Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder (2018, positive): “J. Yang, S. H. Lee, M. E. Goddard, P. M. Visscher, GCTA: A tool for genome-wide complex trait analysis.”
Geographic variation and bias in polygenic scores of complex diseases and traits in Finland (2018, methodology): “9 (Purcell and Chang ; Yang et al. 2011; Chang et al. 2015) (command --make-rel) using 61,598 independent variants from Illumina HumanCoreExome chip described in Kerminen et al.”
StAMPP: an R package for calculation of genetic differentiation and structure of mixed‐ploidy level populations (2013, methodology): “The results from StAMPP were identical to those of GCTA.”
Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry (2018, neutral): “Genome-wide Complex Trait Analysis (GCTA) software (31).”