Pathway polygenic risk scores (pPRS) for the analysis of gene-environment interaction.
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| Title: | Pathway polygenic risk scores (pPRS) for the analysis of gene-environment interaction. |
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| Authors: | Gauderman WJ; Division of Biostatistics and Health Data Science, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, United States of America., Fu Y; Division of Biostatistics and Health Data Science, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, United States of America., Queme B; Division of Bioinformatics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, United States of America., Kawaguchi E; Division of Biostatistics and Health Data Science, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, United States of America., Wang Y; Division of Biostatistics and Health Data Science, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, United States of America., Morrison J; Division of Biostatistics and Health Data Science, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, United States of America., Brenner H; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany., Chan A; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., Gruber SB; Center for Precision Medicine and Department of Medical Oncology, City of Hope National Medical Center, Duarte, California, United States of America., Keku T; University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America., Li L; Department of Family Medicine, UVA Comprehensive Cancer Center, UVA School of Medicine, Charlottesville, Virginia, United States of America., Moreno V; Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain.; Colorectal Cancer Group, ONCOBELL Program, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.; Department of Clinical Sciences, Faculty of Medicine and Health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, Barcelona, Spain.; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain., Pellatt AJ; Intermountain Health, Salt Lake City, Utah, United States of America., Peters U; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.; Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, United States of America., Samadder NJ; Mayo Clinic Comprehensive Cancer Center, Phoenix, Arizona, United States of America., Schmit SL; Genomic Medicine Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.; Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, Ohio, United States of America., Ulrich CM; Huntsman Cancer Institute, Salt Lake City, Utah, United States of America.; Department of Population Sciences, University of Utah, Salt Lake City, Utah, United States of America., Um C; Department of Population Science, American Cancer Society, Atlanta, GeorgiaUnited States of America., Wu A; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, United States of America., Lewinger JP; Division of Biostatistics and Health Data Science, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, United States of America., Drew DA; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., Mi H; Division of Bioinformatics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, United States of America. |
| Source: | PLoS genetics [PLoS Genet] 2025 Aug 05; Vol. 21 (8), pp. e1011543. Date of Electronic Publication: 2025 Aug 05 (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.1011543 |
