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Expression Quantitative Trait Loci Information Improves Predictive Modeling of Disease Relevance of Non-Coding Genetic Variation.

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Title: Expression Quantitative Trait Loci Information Improves Predictive Modeling of Disease Relevance of Non-Coding Genetic Variation.
Authors: Croteau-Chonka DC; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., Rogers AJ; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America; Division of Pulmonary and Critical Care Medicine, School of Medicine, Stanford University, Stanford, California, United States of America., Raj T; Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, United States of America; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America; Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America., McGeachie MJ; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., Qiu W; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., Ziniti JP; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., Stubbs BJ; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., Liang L; Departments of Biostatistics and Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America., Martinez FD; Arizona Respiratory Center and BIO5 Institute, University of Arizona, Tucson, Arizona, United States of America., Strunk RC; Division of Allergy, Immunology and Pulmonary Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, United States of America., Lemanske RF Jr; University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America., Liu AH; Division of Allergy and Clinical Immunology, Department of Pediatrics, National Jewish Health and University of Colorado School of Medicine, Denver, Colorado, United States of America., Stranger BE; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America; Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America; Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, Illinois, United States of America., Carey VJ; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., Raby BA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America; BWH Pulmonary Genetics Center, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Source: PloS one [PLoS One] 2015 Oct 16; Vol. 10 (10), pp. e0140758. Date of Electronic Publication: 2015 Oct 16 (Print Publication: 2015).
Publication Type: Journal Article; Meta-Analysis; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Review
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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