Publisher Correction: SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests

Affiliations

• ¹ Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. wzhou@broadinstitute.org.
• ² Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA. wzhou@broadinstitute.org.
• ³ Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA. wzhou@broadinstitute.org.
• ⁴ Department of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing, China. wenjianb@pku.edu.cn.
• ⁵ Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA. wenjianb@pku.edu.cn.
• ⁶ Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA. wenjianb@pku.edu.cn.
• ⁷ Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
• ⁸ Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
• ⁹ Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
• ¹⁰ Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
• ¹¹ Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
• ¹² Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
• ¹³ Institute for Molecular Medicine Finland, Helsinki Institute of Life Sciences, University of Helsinki, Helsinki, Finland.
• ¹⁴ Graduate School of Data Science, Seoul National University, Seoul, Korea. lee7801@snu.ac.kr.