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Open Access
Peer-reviewed
Methods
A statistical framework to identify cell types whose genetically regulated proportions are associated with complex diseases
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Wei Liu ,
Contributed equally to this work with: Wei Liu, Wenxuan Deng, Ming Chen
Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing
Affiliation Program of Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America
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Wenxuan Deng ,
Contributed equally to this work with: Wei Liu, Wenxuan Deng, Ming Chen
Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing
Affiliation Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, Connecticut, United States of America
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Ming Chen ,
Contributed equally to this work with: Wei Liu, Wenxuan Deng, Ming Chen
Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing
Affiliation Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, Connecticut, United States of America
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Zihan Dong,
Roles Formal analysis
Affiliation Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, Connecticut, United States of America
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Biqing Zhu,
Roles Formal analysis
Affiliation Program of Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America
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Zhaolong Yu,
Roles Formal analysis
Affiliation Program of Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America
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Daiwei Tang,
Roles Formal analysis
Affiliation Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, Connecticut, United States of America
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Maor Sauler,
Roles Investigation
Affiliation Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, United States of America
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Chen Lin,
Roles Formal analysis, Writing – review & editing
Affiliation Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, Connecticut, United States of America
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Louise V. Wain,
Roles Investigation
Affiliations Department of Health Sciences, University of Leicester, Leicester, United Kingdom, National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
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Michael H. Cho,
Roles Funding acquisition, Investigation
Affiliations Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America, Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
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Naftali Kaminski,
Roles Funding acquisition, Investigation
Affiliation Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, United States of America
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Hongyu Zhao
Roles Conceptualization, Funding acquisition, Investigation, Methodology, Supervision, Writing – review & editing
* E-mail: hongyu.zhao@yale.edu
Affiliations Program of Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America, Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, Connecticut, United States of America
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A statistical framework to identify cell types whose genetically regulated proportions are associated with complex diseases
- Wei Liu,
- Wenxuan Deng,
- Ming Chen,
- Zihan Dong,
- Biqing Zhu,
- Zhaolong Yu,
- Daiwei Tang,
- Maor Sauler,
- Chen Lin,
- Louise V. Wain
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- Published: July 31, 2023
- https://doi.org/10.1371/journal.pgen.1010825