Supplemental Material for Giusti-Rodriguez et al., 2020
datasetposted on 20.07.2020 by Paola Giusti-Rodriguez, James Xenakis, James Crowley, Randal Nonneman, Daniela DeCristo, Allison K. Ryan, Corey R. Quackenbush, Darla Miller, Ginger Shaw, Vasyl Zhabotynsky, Patrick Sullivan, Fernando Pardo-Manuel de Villena, Fei Zou
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 files are available at FigShare. Table S1 describes the CC strains used to generate the RIX lines that were part of the study. Figure S1 shows the mating scheme used to cross CC and generate RIX with maximum genetic diversity. Figure S2 shows haloperidol-induced changes in behavioral measures. Figure S3 shows the raw data for RIX mice treated with haloperidol or placebo, for the centroid time and stereotypy measures of OFA. Figure S4 shows RI strain-by-treatment and strain prediction intervals for stereotypy, centroid, and EPS. Figure S5 presents raw data and strain-by-treatment predictions for body weight of RIX mice treated with haloperidol or placebo. Figure S6 shows CC strain-level predictions for plasma haloperidol levels. Figure S7 presents the distributions of transformed phenotypes used in our genetic mapping effort. Figure S8 presents the results of our genetic mapping effort. Figure S9 presents the results of our small simulation study to illustrate a lack of power to detect a significant locus in the presence of strong polygenic effect. Figure S10 compares the pre-treatment distributions of various behavioral measures between the CC-RIX, the CC diallel study (CROWLEY et al. 2014), and a survey of 27 mouse strains (CROWLEY et al. 2012a; CROWLEY et al. 2012b). File S1 includes the sample code for linear mixed models. File S2 includes the power simulation of QTL mapping.