ASAP is committed to accelerating the pace of discovery and informing a path to a cure for Parkinson’s disease through collaboration, research-enabling resources, and data sharing. We’ve created this catalog to showcase the research outputs and tools developed by ASAP-funded programs.
powereQTL – An R shiny application for calculating sample size and power of bulk tissue and single-cell eQTL analysis
An R shiny application for calculating sample size and power of bulk tissue and single-cell eQTL analysis
Chemically induced senescence in human stem cell‐derived neurons promotes phenotypic presentation of neurodegeneration
Using embryonic stem-cell derived neurons to model age-related neurodegenerative diseases is inherently difficult. The authors thereby developed a chemical cocktail to induce cellular senescence (without causing DNA damage), thereby inducing embryonic cells to exhibit features characteristic of aged cells. The cocktail can help enhance disease-related phenotypes in iPSCs.
powerEQTL: an R package and shiny application for sample size and power calculation of bulk tissue and single-cell eQTL analysis
Genome-wide association studies (GWAS) reveal thousands of genetic loci. To understand the causality of the genetic variants, many researchers employ expression of quantitative trait locus (eQTL) analysis. The authors created a simplified, user-friendly R package called powerEQTL to aid in performing the power calculations needed for eQTL analysis. View preprint.
powereQTL – An R package for calculating sample size and power of bulk tissue and single-cell eQTL analysis
Power and sample size calculation for bulk tissue and single-cell eQTL analysis based on ANOVA, simple linear regression, or linear mixed-effects model. It can also calculate power/sample size for testing the association of an SNP to a continuous type phenotype.