Related Experiment Video
Updated: Dec 21, 2025

A Rat Methyl-Seq Platform to Identify Epigenetic Changes Associated with Stress Exposure
Published on: October 24, 2018
Test-statistic inflation in methylome-wide association studies
Jerry Guintivano1, Andrey A Shabalin2, Robin F Chan3
1Department of Psychiatry, University of North Carolina , Chapel Hill, NC, USA.
Abstract:
Recent years have seen a surge of methylome-wide association studies (MWAS). We observed that many of these studies suffer from test statistic inflation that is most likely caused by commonly used quality control (QC) pipelines not going far enough to remove technical artefacts. To support this claim, we reanalysed GEO datasets with an improved QC pipeline that reduced test-statistic inflation parameter lambda from the original mean/median of 20.16/15.17 to 3.07/1.14. Furthermore, the mean/median number of methylome-wide significant findings was reduced by 65,688/57,805 loci after more thorough QC. To avoid such false positives we argue for more extensive QC and that reporting the test-statistic inflation parameter lambda become standard for all MWAS allowing readers to better assess the risk of false discoveries.
Related Concept Videos
Multiple Comparison Tests
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Significance Testing: Overview
Statistical Hypothesis Testing
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...

