Supplemental Material for Funkhouser et al., 2020
datasetposted on 17.03.2020 by Scott A. Funkhouser, Ana I. Vazquez, Juan P. Steibel, Catherine W. Ernst, Gustavo de los Campos
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Supplemental Methods contain additional method details not in manuscript. Figure S1 contains LD decay statistics. Figure S2 contains simulation results for the discovery of any observed causal variant (whether they affect males, females, or both). Figure S3 contains simulation results for the discovery of regions containing masked causal variants (whether they affect males, females, or both). Figure S4 compares local Bayesian regression to single-marker regression for the discovery of gene-by-sex interactions. Figure S5 shows eQTL enrichment as a function of the number of gene-by-sex signals selected, and compares local Bayesian regression to single marker regression. Table S1 contains within-sex phenotype statistics. Table S2 contains a sample of per-replicate simulation results when causal variants are observed. Table S3 contains a sample of per-replicate simulation results when causal variants are masked. Table S4 contains all gene-by-sex interactions discovered using sex-specific window variances.