Modes of Brain Aging - Resources

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Below are online materials relating to our paper on multiple modes of brain aging.

In all GWAS tables and summary statistics files, "AF" refers to the frequency of A2 (which most often is the minor allele), and the (sign of the) GWAS beta relates to the A2 allele count.

Results spreadsheets

These spreadsheets can be downloaded as Excel files or viewed online as Google Sheets. Many of these have multiple sub-sheets, with one tab (at the bottom of the view) per mode/mode-cluster. For nIDP (non-imaging-derived phenotype) associations, -log10P, r and N (samples used for correlations) are given, for all subjects, and also for just females and just males; the VariableID refers to a variable coding that can be looked up on UK Biobank showcase.

GWAS Manhattan plots

Each mode or mode-cluster results in a separate GWAS and hence a separate Manhattan plot. Each PDF file of Manhattan plots shows the results from one GWAS per page. The organisation of pages is:

GWAS additional analyses

GWAS summary statistics

SNPs included here were preselected requiring that MAF>=0.001 (though results reported in the paper were more stringent). Phenotypes 1-141 are as described above.

Resting-state functional MRI summary images

These maps are summaries of the mode and mode-cluster ICA weights. "nodeamps25" and "nodeamps100" refer to the resting-state node amplitudes from the low- and high-dimensional group-ICA originally carried out on behalf of UK Biobank, explained and illustrated in greater detail on the UK Biobank brain imaging resources page. Coloured numbers in the summary plots show the ICA IDP weights (each node's amplitude is one IDP). "edges25" and "edges100" show the functional connectivity edge strengths, as explained and illustrated on the same resources page. Each pair of images shows a node-pair, and the coloured bar illustrates the strength and sign of the population-average connectivity between these two nodes. The coloured numbers show the ICA IDP weights (each edge is one IDP).


Code from the Elliott Nature paper, for generating IDPs, nIDPs and confounds, is here.

New code for all of the analyses in this paper is here.