Statistical approaches to gene-environment interactions for complex phenotypes /:
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| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge, MA :
The MIT Press,
2016.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Item Description: | "This edited volume stemmed from the 3rd Annual Symposium of the University of Georgia's Center for Contextual Genetics and Prevention Science (CGAPS) ... was held on June 19-20, 2012 in Athens, GA"--Preface |
| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780262335522 0262335522 9780262335539 0262335530 |
Staff View
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| author_additional | Michael Windle -- Li Hsu -- Arnab Maity -- Shuo Jiao -- Tao Wang -- Alexandre Todorov -- Caroline Y. Doyle -- Sung Kyun Park -- Erin Loraine Kinnally -- Duncan C. Thomas. |
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| contents | Introduction and Overview of Statistical Approaches to Gene x Environment Interactions for Complex Phenotypes / Two-Stage Procedures for the Identification of Gene x Environment and Gene x Gene Interactions in Genome-Wide Association Studies / Marker-Set Approaches for Assessing Gene x Environment Interactions at Gene Level / Set-Based Gene x Environment Interaction Tests for Complex Diseases with Application to Genome-Wide Association and Sequencing Studies / Gene-Based Approach for Testing Gene x Gene and Gene x Environment Interactions / Overview of the RELIEF Algorithm and Advancements / Gene x Environment Interaction in Obesity: The Contribution of Randomized Clinical Trials / Statistical Strategies for Modeling Gene x Environment Interactions in Longitudinal Cohort Studies / Cumulative Gene x Environment Influences on Neurobehavioral Development in Humans and Nonhuman Primates / Complex Phenotypes and the Use of Polygenic Scores to Investigate Gene x Environment Interactions for Substance Use / Statistical Framework for Mediation in Environmental Epigenetics / |
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| spelling | Statistical approaches to gene-environment interactions for complex phenotypes / Windle, Michael, ed. Cambridge, MA : The MIT Press, 2016. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier "This edited volume stemmed from the 3rd Annual Symposium of the University of Georgia's Center for Contextual Genetics and Prevention Science (CGAPS) ... was held on June 19-20, 2012 in Athens, GA"--Preface Includes bibliographical references and index. Print version record. Machine generated contents note: 1. Introduction and Overview of Statistical Approaches to Gene x Environment Interactions for Complex Phenotypes / Michael Windle -- 2. Two-Stage Procedures for the Identification of Gene x Environment and Gene x Gene Interactions in Genome-Wide Association Studies / Li Hsu -- 3. Marker-Set Approaches for Assessing Gene x Environment Interactions at Gene Level / Arnab Maity -- 4. Set-Based Gene x Environment Interaction Tests for Complex Diseases with Application to Genome-Wide Association and Sequencing Studies / Shuo Jiao -- 5. Gene-Based Approach for Testing Gene x Gene and Gene x Environment Interactions / Tao Wang -- 6. Overview of the RELIEF Algorithm and Advancements / Alexandre Todorov -- 7. Gene x Environment Interaction in Obesity: The Contribution of Randomized Clinical Trials / Caroline Y. Doyle -- 8. Statistical Strategies for Modeling Gene x Environment Interactions in Longitudinal Cohort Studies / Sung Kyun Park -- 9. Cumulative Gene x Environment Influences on Neurobehavioral Development in Humans and Nonhuman Primates / Erin Loraine Kinnally -- 10. Complex Phenotypes and the Use of Polygenic Scores to Investigate Gene x Environment Interactions for Substance Use / Michael Windle -- 11. Statistical Framework for Mediation in Environmental Epigenetics / Duncan C. Thomas. Genotype-environment interaction Statistical methods. Genetic Phenomena models, statistical Interaction génotype-environnement Méthodes statistiques. SCIENCE Life Sciences Evolution. bisacsh Windle, Michael T., editor. Print version: Statistical approaches to gene-environment interactions for complex phenotypes. Cambridge, MA : The MIT Press, 2016 9780262034685 (DLC) 2015041250 (OCoLC)945432207 |
| spellingShingle | Statistical approaches to gene-environment interactions for complex phenotypes / Introduction and Overview of Statistical Approaches to Gene x Environment Interactions for Complex Phenotypes / Two-Stage Procedures for the Identification of Gene x Environment and Gene x Gene Interactions in Genome-Wide Association Studies / Marker-Set Approaches for Assessing Gene x Environment Interactions at Gene Level / Set-Based Gene x Environment Interaction Tests for Complex Diseases with Application to Genome-Wide Association and Sequencing Studies / Gene-Based Approach for Testing Gene x Gene and Gene x Environment Interactions / Overview of the RELIEF Algorithm and Advancements / Gene x Environment Interaction in Obesity: The Contribution of Randomized Clinical Trials / Statistical Strategies for Modeling Gene x Environment Interactions in Longitudinal Cohort Studies / Cumulative Gene x Environment Influences on Neurobehavioral Development in Humans and Nonhuman Primates / Complex Phenotypes and the Use of Polygenic Scores to Investigate Gene x Environment Interactions for Substance Use / Statistical Framework for Mediation in Environmental Epigenetics / Genotype-environment interaction Statistical methods. Genetic Phenomena models, statistical Interaction génotype-environnement Méthodes statistiques. SCIENCE Life Sciences Evolution. bisacsh |
| title | Statistical approaches to gene-environment interactions for complex phenotypes / |
| title_alt | Introduction and Overview of Statistical Approaches to Gene x Environment Interactions for Complex Phenotypes / Two-Stage Procedures for the Identification of Gene x Environment and Gene x Gene Interactions in Genome-Wide Association Studies / Marker-Set Approaches for Assessing Gene x Environment Interactions at Gene Level / Set-Based Gene x Environment Interaction Tests for Complex Diseases with Application to Genome-Wide Association and Sequencing Studies / Gene-Based Approach for Testing Gene x Gene and Gene x Environment Interactions / Overview of the RELIEF Algorithm and Advancements / Gene x Environment Interaction in Obesity: The Contribution of Randomized Clinical Trials / Statistical Strategies for Modeling Gene x Environment Interactions in Longitudinal Cohort Studies / Cumulative Gene x Environment Influences on Neurobehavioral Development in Humans and Nonhuman Primates / Complex Phenotypes and the Use of Polygenic Scores to Investigate Gene x Environment Interactions for Substance Use / Statistical Framework for Mediation in Environmental Epigenetics / |
| title_auth | Statistical approaches to gene-environment interactions for complex phenotypes / |
| title_exact_search | Statistical approaches to gene-environment interactions for complex phenotypes / |
| title_full | Statistical approaches to gene-environment interactions for complex phenotypes / Windle, Michael, ed. |
| title_fullStr | Statistical approaches to gene-environment interactions for complex phenotypes / Windle, Michael, ed. |
| title_full_unstemmed | Statistical approaches to gene-environment interactions for complex phenotypes / Windle, Michael, ed. |
| title_short | Statistical approaches to gene-environment interactions for complex phenotypes / |
| title_sort | statistical approaches to gene environment interactions for complex phenotypes |
| topic | Genotype-environment interaction Statistical methods. Genetic Phenomena models, statistical Interaction génotype-environnement Méthodes statistiques. SCIENCE Life Sciences Evolution. bisacsh |
| topic_facet | Genotype-environment interaction Statistical methods. Genetic Phenomena models, statistical Interaction génotype-environnement Méthodes statistiques. SCIENCE Life Sciences Evolution. |
| work_keys_str_mv | AT windlemichaelt statisticalapproachestogeneenvironmentinteractionsforcomplexphenotypes |