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Open AccessJournal ArticleDOI

Gene-environment interactions for complex traits: Definitions, methodological requirements and challenges

TLDR
This review discusses methodological issues involved in investigating gene–environment (G × E) interactions in genetic–epidemiological studies of complex diseases and their potential relevance for clinical application and attempts to clarify conceptual differences of the term ‘interaction’ in the statistical and biological sciences.
Abstract
Genetic and environmental risk factors and their interactions contribute to the development of complex diseases In this review, we discuss methodological issues involved in investigating gene-environment (G x E) interactions in genetic-epidemiological studies of complex diseases and their potential relevance for clinical application Although there are some important examples of interactions and applications, the widespread use of the knowledge about G x E interaction for targeted intervention or personalized treatment (pharmacogenetics) is still beyond current means This is due to the fact that convincing evidence and high predictive or discriminative power are necessary conditions for usefulness in clinical practice We attempt to clarify conceptual differences of the term 'interaction' in the statistical and biological sciences, since precise definitions are important for the interpretation of results We argue that the investigation of G x E interactions is more rewarding for the detailed characterization of identified disease genes (ie at advanced stages of genetic research) and the stratified analysis of environmental effects by genotype or vice versa Advantages and disadvantages of different epidemiological study designs are given and sample size requirements are exemplified These issues as well as a critical appraisal of common methodological concerns are finally discussed

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Citations
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Journal ArticleDOI

Interaction between lifestyle behaviors and genetic polymorphism in SCAP gene on blood pressure among Chinese children.

TL;DR: Interactions or combined effects between SCAP and lifestyle behaviors on BP support the importance of promoting a healthy lifestyle in the children genetically predisposed to higher BP.
Journal ArticleDOI

Interactions between breast cancer susceptibility loci and menopausal hormone therapy in relationship to breast cancer in the Breast and Prostate Cancer Cohort Consortium

TL;DR: Menopausal hormone therapy is unlikely to have a strong interaction with the common genetic variants associated with invasive breast cancer, and observed associations might be modified by known breast cancer susceptibility loci.
Journal ArticleDOI

Integrating Multi–Omics Data for Gene-Environment Interactions

TL;DR: The integrative model can efficiently pinpoint important regulators of gene expressions through sparse dimensionality reduction, and link the disease outcomes to multiple effects in the integrative G×E studies through accommodating a sparse bi-level structure.
Dissertation

Genomic architecture of sickle cell disease clinical variation in children from West Africa : a case-control study design

TL;DR: Genome-wide gene expression patterns associated with SCD clinical variation were enriched in B-lymphocyte development, platelet activation, stress, inflammation and cell proliferation pathways and Transcriptional biomarkers that can discriminate SCD patients with respect to clinical severities were identified.
Journal ArticleDOI

Advancing the science of environmental exposures during pregnancy and the gene-environment through the National Children's Study.

TL;DR: Information is provided on the importance of studying environmental exposures during fetal, infant, and childhood development in the National Children's Study for nurses to aid in mitigating the complex health problems that arise from environment-health interactions.
References
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Journal ArticleDOI

‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?

TL;DR: Mendelian randomization provides new opportunities to test causality and demonstrates how investment in the human genome project may contribute to understanding and preventing the adverse effects on human health of modifiable exposures.
Journal ArticleDOI

Sick individuals and sick populations

TL;DR: Aetiology confronts two distinct issues: the determinant of individual cases, and the determinants of incidence rate: if exposure to a necessary agent is homogeneous within a population, then case/control and cohort methods will fail to detect it.
Journal ArticleDOI

Replication validity of genetic association studies.

TL;DR: It is concluded that a systematic meta-analytic approach may assist in estimating population-wide effects of genetic risk factors in human disease.
Journal ArticleDOI

Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans

TL;DR: It is noted that the degree to which statistical tests of epistasis can elucidate underlying biological interactions may be more limited than previously assumed.
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