Back to search

Article

Quantifying posterior effect size distribution of susceptibility loci by common summary statistics

2019-07-25

Abstract excerpt

Testing millions of SNPs in genetic association studies has become standard routine for disease gene discovery, followed by prioritization of the strongest signals based on the set of the smallest P-values. In light of recent re-evaluation of statistical practice, it has been suggested that P-values are unfit as summaries of statistical evidence. Despite this criticism, P-values are commonly used and are unlikely...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
87698ef6-0425-5153-a599-b86ed65a2792
DOI
10.1101/714287
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Quantifying posterior effect size distribution of susceptibility loci by common summary statisticsDOI 10.1101/714287
Select a neighboring publication to make it the new centre.