We report simple correlation analyses between each of the 2501 brain IDPs and each of 1100 other variables extracted from the UK Biobank database (these other variables are mostly not derived from imaging, though some do come from the non-brain imaging modalities); for the list of general classes of these variables, see Fig. 6a, and for many examples of individual variables, see the lists associated with the CCA-ICA modes presented in Fig. 7 and Supplementary Figs. The initial set of variables extracted from the UK Biobank database was automatically reduced to those (1100 variables) containing sufficient numbers of valid (non-missing) data entries, using very similar selection rules to those applied in the recent CCA-based analysis of Human Connectome Project data34. Some variables are defined (in the UK Biobank database) such that the numerical encoding is the inverse of what one might naturally assume - for example in the variable “Qualifications”, higher numbers refer to lower levels of educational qualifications. In such cases we have inverted the sign of the ICA weightings printed in the figures, for ease of interpretation. Further,
