Aligning Science Across Parkinson's Logo Text

powereQTL – An R shiny application for calculating sample size and power of bulk tissue and single-cell eQTL analysis

By Xianjun Dong, PhD, Clemens Scherzer, MD, Xiaoqi Li, Tzuu-Wang Chang, Scott T. Weiss, Weiliang Qiu
View Published Code

Output Details

Description

Easy-to-use web application for calculating sample size and power of bulk tissue and single-cell eQTL analysis

Discovery Team
Team Scherzer
Program
Collaborative Research Network
Theme
PD Functional Genomics

Meet the Authors

Related Research

Single cell eQTL mapping reveals convergent glial–neuronal risk architecture in Parkinson’s disease

Population-scale, disease-context aware meta single-nucleus eQTLs mapping (N = 1,197) in nine cell types from cortex and substantia nigra identifies 125 risk genes and cell types for PD GWAS signals.

View Article

Health phenome of Parkinson’s patients reveals prominent mood-sleep cluster

In 933 PD cases vs 291 controls, mood/sleep disorders (depression, anxiety, apnea, RLS) were more common and clustered. Pesticides and head trauma raised odds; smoking lowered. 43% of PD had a mood/sleep disorder.

View Article

Release Notes – ASAP CRN Cloud – Version 4.0.0

ASAP CRN Cloud released version 4.0.0 with expanded datasets including Human Postmortem-derived Brain Sequencing and Mouse datasets. New collections and individual datasets were added, enhancing PMDBS and Mouse RNA sequencing data.

View Dataset
View More Outputs
Aligning Science Across Parkinson's
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.