A huge range of genome-scale data sets — including genomic, epigenomic and transcriptomic information — are now available, and it is widely acknowledged that combining several data sets can provide important biological insights. However, there are practical, conceptual and computational challenges to data integration.
Genotype imputation is an important tool for genome-wide association studies as it
increases power, aids in fine-mapping of associations and facilitates meta-analyses. This
Review provides a guide to and comparison of imputation methods and discusses association
testing using imputed data.
G2P Knowledge Centre is part of GEN2PHEN and funded by the Health Thematic Area of the Cooperation Programme of the European Commission
within the VII Framework Programme for Research and Technological Development.