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Open Access
Peer-reviewed
Research Article
A comprehensive framework for trans-ancestry pathway analysis using GWAS summary data from diverse populations
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Sheng Fu,
Roles Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliations School of Statistics and Data Science, Nankai University, Tianjin, China, Key Laboratory of Pure Mathematics and Combinatorics, Nankai University, Tianjin, China
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William Wheeler,
Roles Methodology, Software, Writing – review & editing
Affiliation Information Management Services, Inc, Bethesda, Maryland, United States of America
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Xiaoyu Wang,
Roles Data curation, Formal analysis, Software, Validation, Visualization, Writing – review & editing
Affiliations Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America, Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Rockville, Maryland, United States of America
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Xing Hua,
Roles Data curation, Formal analysis, Software, Validation, Writing – review & editing
Affiliations Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America, Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Rockville, Maryland, United States of America
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Devika Godbole,
Roles Formal analysis, Software, Visualization, Writing – review & editing
Affiliations Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America, Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Rockville, Maryland, United States of America
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Jubao Duan,
Roles Data curation, Methodology, Resources, Writing – review & editing
Affiliations Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, Illinois, United States of America, Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois, United States of America
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Bin Zhu,
Roles Investigation, Methodology, Writing – review & editing
Affiliation Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
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Lu Deng,
Roles Methodology, Writing – review & editing
Affiliation School of Statistics and Data Science, Nankai University, Tianjin, China
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Fei Qin,
Roles Methodology, Writing – review & editing
Affiliation Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
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Haoyu Zhang,
Roles Investigation, Methodology, Resources, Writing – review & editing
Affiliation Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
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Jianxin Shi,
Roles Investigation, Methodology, Resources, Writing – review & editing
Affiliation Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
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Kai Yu
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: yuka@mail.nih.gov
Affiliation Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
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A comprehensive framework for trans-ancestry pathway analysis using GWAS summary data from diverse populations
- Sheng Fu,
- William Wheeler,
- Xiaoyu Wang,
- Xing Hua,
- Devika Godbole,
- Jubao Duan,
- Bin Zhu,
- Lu Deng,
- Fei Qin,
- Haoyu Zhang
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- Published: October 23, 2024
- https://doi.org/10.1371/journal.pgen.1011322