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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data

Fig. 1

Schematic diagram describing the pipeline of this study which used S-PrediXcan to predict genes that are highly associated with total brain volume (TBV) and intracranial volume (ICV). S-PrediXcan integrates two inputs, one of them was trained PrediXcan elastic-net prediction models which derived from GTEx genotyping and transcriptome data of 13 brain tissues. The other inputs were GWAS summary statistics data of our interested traits: (1) TBV from UKB and (2) ICV from ENIGMA2. The first S-PrediXcan analysis on UKB data yielded predicted genes that are highly associated with TBV. The second S-PrediXcan analysis aimed to perform a targeted study on a similar trait (ICV) using the GWAS summary data from an independent cohort (ENIGMA2) to determine which TBV-associated genes are also significantly associated with ICV

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BMC Bioinformatics

ISSN: 1471-2105

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