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

Wei Zhou^#^{1

2

3}, Wenjian Bi^#^{4

5

6}, Zhangchen Zhao^#^{7

8}, Kushal K Dey⁹, Karthik A Jagadeesh⁹, Konrad J Karczewski^{10

11

12}, Mark J Daly^{10

11

12

13}, Benjamin M Neale^{10

11

12}, Seunggeun Lee¹⁴

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.

^# Contributed equally.

PMID: 36257984
PMCID: PMC9649418
DOI: 10.1038/s41588-022-01220-x

Published Erratum

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

Wei Zhou et al. Nat Genet. 2022 Nov.

. 2022 Nov;54(11):1755.

doi: 10.1038/s41588-022-01220-x.

Authors

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.

^# Contributed equally.

PMID: 36257984
PMCID: PMC9649418
DOI: 10.1038/s41588-022-01220-x

No abstract available

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Erratum for

SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests.
Zhou W, Bi W, Zhao Z, Dey KK, Jagadeesh KA, Karczewski KJ, Daly MJ, Neale BM, Lee S. Zhou W, et al. Nat Genet. 2022 Oct;54(10):1466-1469. doi: 10.1038/s41588-022-01178-w. Epub 2022 Sep 22. Nat Genet. 2022. PMID: 36138231 Free PMC article.

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

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

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