Founder population-specific HapMap panel increases power in GWA studies through improved imputation accuracy and CNV tagging

Abstract

Founder population-specific HapMap panel increases power in GWA studies through improved imputation accuracy and CNV tagging Ida Surakka, Kati Kristiansson, Verneri Anttila, Michael Inouye, Chris Barnes, Loukas Moutsianas, Veikko Salomaa, Mark Daly, Aarno Palotie, Leena Peltonen, and Samuli Ripatti Institute for Molecular Medicine Finland, FIMM, University of Helsinki, FI-00014 Helsinki, Finland; Public Health Genomics Unit, National Institute for Health and Welfare, FI-00271 Helsinki, Finland; Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, United Kingdom; Department of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands; Department of Statistics, University of Oxford, Oxford OX1 3TG, United Kingdom; Department of Health Promotion and Chronic Disease Prevention, National Institute for Health and Welfare, FI-00271 Helsinki, Finland; Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA; Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA; Department of Medical Genetics, University of Helsinki, Helsinki University Hospital, FI-00014 Helsinki, Finland