Skip to main content »

Trinity College Dublin

Imputation of GW association studies for poly-gene score and meta-analyses

Research Field: 
Life Sciences
Resource Type: 
Compute
Resource Class: 
B
Lead PI: 
Dr. Richard Anney
Abstract: 
Our work currently examines genetic association across a number of psychiatric traits. We have collected GW-level data on a variety of array-based SNP platforms (400K SNPs to 1.1M SNPs; Affymetrics, Perlegen and Illumina). To examine the overlap of signal we require genotyping to be performed on the same genetic markers. Unfortunately, the main arrays have minimal overlap. Statistical approaches have been developed to impute missing data, taking advantage of information on phased haplotypes from reference human populations (1000 genome project). In this study we intend to impute all studies to a core overlapping dataset of >2M SNPs using the jave-based imputation software Beagle 3.2.
Start Date: 
03/2011
Duration: 
8.00months

Last updated 07 Mar 2011Contact TCHPC: info | support.