Incorporation of biological knowledge into the study of gene-environment interactions Journal Article
| Authors: | Ritchie, M. D.; Davis, J. R.; Aschard, H.; Battle, A.; Conti, D.; Du, M.; Eskin, E.; Fallin, M. D.; Hsu, L.; Kraft, P.; Moore, J. H.; Pierce, B. L.; Bien, S. A.; Blair Thomas, D. C.; Wei, P.; Montgomery, S. B. |
| Article Title: | Incorporation of biological knowledge into the study of gene-environment interactions |
| Abstract: | A growing knowledge base of genetic and environmental information has greatly enabled the study of disease risk factors. However, the computational complexity and statistical burden of testing all variants by all environments has required novel study designs and hypothesis-driven approaches. We discuss how incorporating biological knowledge from model organisms, functional genomics, and integrative approaches can empower the discovery of novel gene-environment interactions and discuss specific methodological considerations with each approach. We consider specific examples where the application of these approaches has uncovered effects of gene-environment interactions relevant to drug response and immunity, and we highlight how such improvements enable a greater understanding of the pathogenesis of disease and the realization of precision medicine. © The Author(s) 2017. |
| Keywords: | sequence analysis; single nucleotide polymorphism; somatic mutation; genetics; nonhuman; conference paper; methodology; animal; animals; animal model; genetic association; genetic variation; genome-wide association study; transcriptomics; risk factor; models, animal; epigenetics; gene interaction; genetic susceptibility; genomics; pharmacogenetics; immunity; pathogenicity; genetic risk; sequence analysis, rna; point mutation; functional genomics; quantitative trait locus; model organisms; rna sequence; personalized medicine; disease; study design; copy number variation; knowledge base; complexity; genotype environment interaction; procedures; precision; gene-environment interaction; humans; human; data integration; data assimilation; genotype-environment interaction; knowledge based system |
| Journal Title: | American Journal of Epidemiology |
| Volume: | 186 |
| Issue: | 7 |
| ISSN: | 0002-9262 |
| Publisher: | Oxford University Press |
| Date Published: | 2017-10-01 |
| Start Page: | 771 |
| End Page: | 777 |
| Language: | English |
| DOI: | 10.1093/aje/kwx229 |
| PUBMED: | 28978191 |
| PROVIDER: | scopus |
| PMCID: | PMC5860556 |
| DOI/URL: | |
| Notes: | Conference Paper -- Export Date: 2 November 2017 -- Source: Scopus |
