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Chunk #36 — Materials and Methods — Simulations — Factor models

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TATES: efficient multivariate genotype-phenotype analysis for genome-wide association studies.
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GV effect was then either modeled on the factor (Figure 1a; Figure 1g A1–A3), affecting via the factor all phenotypes defining the factor (in which case the GV effect is weighted by the factor loadings; the lower the factor loading, the smaller the GV effect on a phenotype), or specifically on the residual variance of one phenotype (Figure 1e; Figure 1g E1–E3). Note that a sum score only summarizes both phenotypic and genetic information exhaustively if the GV affects the factor; if the GV affects one phenotype specifically, the sum score operationalisation is not sufficient from a genetic perspective.