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TWAS/PWAS gene expression prediction models

Version 2 2024-12-23, 07:08
Version 1 2024-12-23, 05:35
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posted on 2024-12-23, 07:08 authored by huang Yu-Fenghuang Yu-Feng

We used the method described by Pain et al. to calculate the gene expression prediction models for QTL summary data. Briefly, this method calculates ten TWAS prediction models using eight leading summary statistic methods (top1, PRS-CS, SBayesR, SBayesR-robust, DBSLMM, LDpred2, lassosum, and SuSiE). Chromosome positions were based on GRCh37 and SNPIDs were based on dbSNP 155. Cis gene regions (upstream and downstream 1 MB for the gene in eQTL and 500 KB for pQTL) were included.

brain_PWAS_Wingo et al. —— PMID: 37653343

brain_PWAS_Yang et al. —— PMID: 34239129

brain_cell_TWAS_Fujita et al. —— PMID: 38514782

brain_cell_TWAS_Bryois et al. —— PMID: 35915177

brain_TWAS_Zeng et al. —— PMID: 35058635

brain_tissue_TWAS_Klein et al. —— PMID: 36823318

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