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. Author manuscript; available in PMC: 2022 Jan 1.
Published in final edited form as: Biol Psychiatry. 2020 Jun 12;89(1):54–64. doi: 10.1016/j.biopsych.2020.06.005

Figure 2. Factors influencing gene expression patterns across cortical brain samples in GTEx.

Figure 2.

Sequencing related technical factors, along with estimated cell proportions, are top drivers of expression variance across anterior cingulate and frontal cortex brain samples in GTEx (v8; n=629 samples). Sequencing-related technical covariates were computed using PicardTools (“collectMultipleMetrics”) and combined with sample and subject-level metadata provided GTEx. Collinear covariates were removed and gene expression variance explained by each covariate was calculated using a linear mixed effects model using the variancePartition package (28). Sample specific proportions for major cortical cell-types were estimated with Bisque using single-nucleus RNA-seq data as a reference (56,57)