Meta-analysis has become a popular tool for genetic association studies to combine derent genetic studies. A key challenge in meta-analysis is heterogeneity or the derences in eect sizes between studies. Heterogeneity complicates the interpretation of meta-analyses. In this paper, we describe ForestPMPlot, a flexible visualization tool for analyzing studies included in a meta-analysis. The main feature of the tool is visualizing the derences in the eect sizes of the studies to understand why the studies exhibit heterogeneity for a particular phenotype and locus pair under derent conditions. We show the application of this tool to interpret a meta-analysis of 17 mouse studies and to interpret a multi-tissue eQTL study.
from Genetics via xlomafota13 on Inoreader http://ift.tt/1rVA6Q8
via IFTTT
Δεν υπάρχουν σχόλια:
Δημοσίευση σχολίου
Σημείωση: Μόνο ένα μέλος αυτού του ιστολογίου μπορεί να αναρτήσει σχόλιο.