High false sign rates in transcriptome-wide association studies

Read full text
Authors: Peter Alexander Gerlach, Nikhil Milind, Jeffrey Spence, Jonathan K Pritchard
Cited by: 0

Abstract

This repository contains scripts and data from "High false sign rates in transcriptome-wide association studies". The supplementary data contains TWAS estimates, coloc, and coloc-SuSiE PPH4 probabilities for the plasma protein and complex traits analyses and cTWAS results for the plasma proteins. Scripts for running TWAS (FUSION), coloc, coloc-SuSiE, cTWAS, and simulations are in "Scripts_and_helpers". For questions please contact pgerlach@stanford.edu

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 July 2026