For the analyses of European subjects, we included the first six principal components as covariates, together with a seventh component derived specific to one study (LMBC) for which there was substantial inflation not accounted for by the components derived from the analysis of all studies.
For the analyses of European women, we also included the first six principal components as covariates, together with a seventh component specific to one study (LMBC) for which there was substantial inflation not accounted for by the components derived from the analysis of all studies.
As detailed in the Methods section, the eight NRTIs of the study were characterized by seven principal components derived from 58 molecular descriptors representing properties related to molecular geometry, flexibility, and the ability of the inhibitor to form different types of non-covalent interactions (Table S1).
This task is accomplished by the normalized principal components derived from the singular value matrices of HH subbands of the host and the watermark images.
The following analyses were performed on gray matter segments that were multiplied by the non-linear components derived from the normalization matrix (modulated gray matter volumes).
However, if the full-band is divided into 2 sub-bands, the amount of information presented by the first four principle components derived from both sub-bands is 90.61% and 93.73%.
When full-band is divided into 4 sub-bands, the amount of information presented by the first four principle components derived from sub-band 1, sub-band 2, sub-band 3, and sub-band 4 is 94.67%, 98.79%, 98.58%, and 98.73%, respectively.
Population stratification was corrected by including the top 10 principal components derived from EIGENSTRAT (Price et al. 2006) as covariates.
In order to investigate potential residual confounding by population stratification, we adjusted for principal components derived from IBC CardioChip array 24 in studies with available data (see supplementary methods 2.4 for further details).
