Submitted by dkjang on Tue, 03/30/2021 - 12:55

Functional annotation and enrichment analysis methods

We calculated Bayes factors for all variants 500 kb upstream and downstream with r2 greater than 0.1, with the index variant (100% credible set) at each locus from effect size estimates and standard errors, using the approach of Wakefield (Wakefield 2007). We then calculated a posterior probability for each variant by dividing the Bayes factor by the sum of all Bayes factors in the credible set. 

Meta-analysis research method

Submitted by dkjang on Thu, 03/25/2021 - 11:20

This interface presents results from a meta-analysis of type 2 diabetes genetic associations from exome sequencing data for 86,254 samples (29,434 T2D cases and 56,820 controls). The analysis was performed by Laura Raffield, Yin Xianyong, Andrew Ruttenberg, Peter Dornbos, Ryan Koesterer, and Jason Flannick.


Submitted by dkjang on Mon, 03/22/2021 - 14:40


The Lunaris tool offers programmatic access to genetic and genomic data from the Knowledge Portals for a genomic region of interest. It replaces the APIs that were formerly offered on the Knowledge Portals.