LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations
Abstract
Motivation Much effort has been made toward understanding the genetic architecture of complex traits and diseases. In the past decade, fruitful GWAS findings have highlighted the important role of regulatory variants and pervasive pleiotropy. Because of the accumulation of GWAS data on a wide range of phenotypes and high-quality functional annotations in different cell types, it is timely to develop a statistical framework to explore the genetic...
Paper Details
Title
LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations
Published Date
Dec 20, 2019
Journal
Volume
36
Issue
8
Pages
2506 - 2514
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History