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Chunk #10 — Results — Exploratory Factor Analysis of a Genetic Covariance Matrix

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Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits.
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from the single common factor model (described in further detail, under the SNP Effects section, below) continued to surpass genome-wide significance for the two- and three-factor models, respectively (Supplementary Figure 4; Supplementary Table 3). In addition, a GWAS of all HapMap3 SNPs for the two- and three-factor models revealed the average size of QSNP across all SNPs was largest for the common factor (χ2[1] = 1.68), followed by the two-factor (χ2[1] = 1.64), and three-factor model (χ2[1] = 1.51). Thus, heterogeneity indices of individual SNP effects in the GWAS data agree with model fit indices, with both favoring the three-factor model of neuroticism.