Integrative Mendelian randomization for detecting exposure-by-group interactions using group-specific and combined summary statistics.
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| Title: | Integrative Mendelian randomization for detecting exposure-by-group interactions using group-specific and combined summary statistics. |
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| Authors: | Xu K; Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, United States of America.; Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Indiana, United States of America., Maydanchik N; Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, United States of America., Kang B; Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, United States of America., Chen J; Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, United States of America., Chen Q; Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, United States of America., Xu G; Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, United States of America., Tasaki S; Department of Neurological Sciences and Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, United States of America., Bennett DA; Department of Neurological Sciences and Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, United States of America., Chen LS; Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, United States of America. |
| Source: | PLoS genetics [PLoS Genet] 2025 Sep 11; Vol. 21 (9), pp. e1011819. Date of Electronic Publication: 2025 Sep 11 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7404 (Electronic) Linking ISSN: 15537390 NLM ISO Abbreviation: PLoS Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7404 |
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| DOI: | 10.1371/journal.pgen.1011819 |
