Gene--environment-wide association studies: emerging approaches.
paper
Cited
Public
- Authors
- Thomas, Duncan
- Year
- 2010
- Journal
- Nature reviews. Genetics
- PMID
- 20212493
- DOI
- 10.1038/nrg2764
- PMCID
- PMC2891422
Despite the yield of recent genome-wide association (GWA) studies, the identified variants explain only a small proportion of the heritability of most complex diseases. This unexplained heritability could be partly due to gene--environment (GΓE) interactions or more complex pathways involving multiple genes and exposures. This Review provides a tutorial on the available epidemiological designs and statistical analysis approaches for studying specific GΓE interactions and choosing the most appropriate methods. I discuss the approaches that are being developed for studying entire pathways and available techniques for mining interactions in GWA data. I also explore methods for marrying hypothesis-driven pathway-based approaches with 'agnostic' GWA studies.
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| Name | Type |
|---|---|
| 1000 Genomes Project | cohort |
| addiction | phenotype |
| ADRB2 | gene |
| air pollution | drug |
| Albuterol local | drug |
| allergen local | drug |
| Allergen local | drug |
| Allergen & Diesel Exhaust Particles Challenge Study local | cohort |
| anti-oxidant intake local | drug |
| ARIC | cohort |
| associated SNPs | cohort |
| asthma | phenotype |
| Atherosclerosis Risk in Communities (ARIC) study local | cohort |
| ATM | gene |
| biobanks | cohort |
| bladder cancer | phenotype |
| body weight | phenotype |
| BRCA1 | gene |
| BRCA2 | gene |
| Case-cohort local | cohort |
| case-control sample | cohort |
| case-parent trios local | cohort |
| cases | cohort |
| case-sibling local | cohort |
| causal variant | cohort |
| CHEK2 | gene |
| cigarettes | phenotype |
| colorectal cancer | phenotype |
| Contralateral breast cancer local | phenotype |
| controls | cohort |
| Co-pollutants local | drug |
| coronary heart disease | phenotype |
| CYP1A2 | gene |
| diesel exhaust particles local | drug |
| Diesel exhaust particles local | drug |
| discordant sibship local | cohort |
| disease | phenotype |
| disease risk | phenotype |
| DNA methylation | drug |
| DNA repair genes local | gene |
| E local | other |
| early-onset diseases local | phenotype |
| epidemiologic studies local | cohort |
| estrogen plus progestin local | drug |
| ethnic groups | cohort |
| exposure | phenotype |
| First breast cancer local | phenotype |
| Forced Expiratory Volume local | phenotype |
| fruit consumption local | phenotype |
| functional SNP | cohort |
| GΓE interaction | phenotype |
| gene g | gene |
| genetically susceptible individuals local | phenotype |
| genetic variants | cohort |
| genome-wide expression local | phenotype |
| GSTM1 local | gene |
| GSTM1 null local | variant |
| GSTP1 local | gene |
| GSTP1 I/I local | variant |
| GSTT1 local | gene |
| Histamine local | phenotype |
| Human Genome Epidemiology Network local | cohort |
| IgE local | phenotype |
| immunologic markers local | phenotype |
| inhalants | drug |
| intima media thickness local | phenotype |
| Israel et al. clinical trial local | cohort |
| lung growth local | phenotype |
| Metabolic markers local | phenotype |
| metabolite concentration ratios local | phenotype |
| metabolite phenotypes local | phenotype |
| missing heritability | phenotype |
| Multiple rare variants local | variant |
| mutations | variant |
| NAT2 | gene |
| Nested case-control local | cohort |
| occupational exposures local | drug |
| oral contraceptives local | drug |
| ovarian cancer | phenotype |
| Particles local | drug |
| Particulate air pollution local | drug |
| pedigrees | cohort |
| Radiation therapy local | drug |
| radiotherapy local | drug |
| Radiotherapy local | drug |
| rare disease | phenotype |
| Rare risk factor local | phenotype |
| rare variant | cohort |
| red meat local | drug |
| Risk-associated haplotype local | variant |
| Risk index local | variant |
| small-interfering RNAs local | drug |
| smoking | phenotype |
| SNP | cohort |
| Southern California Children's Health Study local | cohort |
| study cohort | cohort |
| thrombosis biomarkers local | phenotype |
| tobacco use | phenotype |
| Twin cohort | cohort |
| Unilateral breast cancer local | phenotype |
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|---|---|---|---|---|
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| Leveraging polygenic risk scores to infer causal directions in genotype-by-environment interactions between complex traits. | Fentaw Z et al. | β | 2026 | β |
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| Block selection in multiblock partial least squares for modeling genotype-phenotype relations in Saccharomyces. | Tahir M et al. | β | 2025 | β |
| Blunted cortisol as a biomarker of depression based on the attenuation hypothesis: A Mendelian randomization analysis using depression as exposure. | Chan II | β | 2025 | β |
| Distinct explanations underlie gene-environment interactions in the UK Biobank. | Durvasula A et al. | β | 2025 | β |
| Efficient and accurate framework for genome-wide gene-environment interaction analysis in large-scale biobanks. | Ma Y et al. | β | 2025 | β |
| Ethical, Legal, and Social Implications of Gene-Environment Interaction Research. | Calluori S et al. | β | 2025 | β |
| Genome-wide interaction study of physical activity and genetic susceptibility on colorectal cancer using UK biobank data. | Cho S et al. | β | 2025 | β |
| High-Dimensional Gene-Environment Interaction Analysis. | Wu M et al. | β | 2025 | β |
| Implications of gene Γ environment interactions in post-traumatic stress disorder risk and treatment. | Seah C et al. | β | 2025 | β |
| Marginal interaction test for detecting interactions between genetic marker sets and environment in genome-wide studies. | Shen L et al. | β | 2025 | β |
| PIGEON: a statistical framework for estimating gene-environment interaction for polygenic traits. | Miao J et al. | β | 2025 | β |
| Porcine GWAS identifies ACOT11 as regulator for macrophage IL-1Ξ² maturation via IFNGR2 palmitoylation. | Zhang M et al. | β | 2025 | β |
| Switch-like gene expression modulates disease risk. | Aqil A et al. | β | 2025 | β |
| Accounting for genetic effect heterogeneity in fine-mapping and improving power to detect gene-environment interactions with SharePro. | Zhang W et al. | β | 2024 | β |
| A review of common statistical methods for dealing with multiple pollutant mixtures and multiple exposures. | Zhu G et al. | β | 2024 | β |
| Expanding the Scope: In-depth Review of Interaction in Regression Models. | Shiroshita A et al. | β | 2024 | β |
| Gene-environment interactions in human health. | Herrera-Luis E et al. | β | 2024 | β |
| Gene-environment interactions within a precision environmental health framework. | Motsinger-Reif AA et al. | β | 2024 | β |
| Gene-vegetarianism interactions in calcium, estimated glomerular filtration rate, and testosterone identified in genome-wide analysis across 30 biomarkers. | Francis M et al. | β | 2024 | β |
| Genome-Wide Gene-Environment Interaction Analysis Identifies Novel Candidate Variants for Growth Traits in Beef Cattle. | Deng T et al. | β | 2024 | β |
| Interaction between Risk Single-Nucleotide Polymorphisms of Developmental Dyslexia and Parental Education on Reading Ability: Evidence for Differential Susceptibility Theory. | Yang Q et al. | β | 2024 | β |
| Single nucleotide polymorphism-based biomarker in primary hypertension. | Laxmi et al. | β | 2024 | β |
| Social connection and suicidal thoughts and behaviors in the Million Veteran Program cohort. | Bourassa KJ et al. | β | 2024 | β |
| Statistical methods for gene-environment interaction analysis. | Miao J et al. | β | 2024 | β |
| The association between patterns of exposure to adverse life events and the risk of chronic kidney disease: a prospective cohort study of 140,997 individuals. | Li C et al. | β | 2024 | β |
| The evolution of plant phenomics: global insights, trends, and collaborations (2000-2021). | Awada L et al. | β | 2024 | β |
| The role of gene-environment interactions in social dysfunction: Focus on preclinical evidence from mouse studies. | Castellano G et al. | β | 2024 | β |
| ADGR: Admixture-Informed Differential Gene Regulation. | Lee IH et al. | β | 2023 | β |
| A multidimensional social risk atlas of depression and anxiety: An observational and genome-wide environmental interaction study. | Pan C et al. | β | 2023 | β |
| Applying an evolutionary mismatch framework to understand disease susceptibility. | Lea AJ et al. | β | 2023 | β |
| Assessing How Chemical Exposures Affect Human Health. | Baker ES | β | 2023 | β |
| Cumulative genetic score of KIAA0319 affects reading ability in Chinese children: moderation by parental education and mediation by rapid automatized naming. | Zhao J et al. | β | 2023 | β |
| Environmental neuroscience linking exposome to brain structure and function underlying cognition and behavior. | Liu F et al. | β | 2023 | β |
| Gene-environment interaction analysis under the Cox model. | Fang K et al. | β | 2023 | β |
| Gene-environment interaction in myopia. | He X et al. | β | 2023 | β |
| Identification and Analysis of Candidate Genes Associated with Yield Structure Traits and Maize Yield Using Next-Generation Sequencing Technology. | Nowak B et al. | β | 2023 | β |
| Identification of a weight loss-associated causal eQTL in <i>MTIF3</i> and the effects of <i>MTIF3</i> deficiency on human adipocyte function. | Huang M et al. | β | 2023 | β |
| Outdoor time influences VIPR2 polymorphism rs2071623 to regulate axial length in Han Chinese children. | He X et al. | β | 2023 | β |
| Plasticity QTLs specifically contribute to the genotype Γ water availability interaction in maize. | Djabali Y et al. | β | 2023 | β |
| Skeletal Class II Malocclusion: From Clinical Treatment Strategies to the Roadmap in Identifying the Genetic Bases of Development in Humans with the Support of the Collaborative Cross Mouse Population. | Lone IM et al. | β | 2023 | β |
| Susceptibility to hypertension based on <i>MTHFR</i> rs1801133 single nucleotide polymorphism and <i>MTHFR</i> promoter methylation. | Chiu MH et al. | β | 2023 | β |
| Systematic review on gene-sun exposure interactions in skin cancer. | Shraim R et al. | β | 2023 | β |
| Type 2 diabetes and the risk of synovitis-tenosynovitis: a two-sample Mendelian randomization study. | Guo J et al. | β | 2023 | β |
| Whole-genome analysis of recombinant inbred rice lines reveals a quantitative trait locus on chromosome 3 with genotype-by-environment interaction effects. | Sakai T et al. | β | 2023 | β |
| Adapting to climate with limited genetic diversity: Nucleotide, DNA methylation and microbiome variation among populations of the social spider Stegodyphus dumicola. | Aagaard A et al. | β | 2022 | β |
| A review on the application of the exposome paradigm to unveil the environmental determinants of age-related diseases. | Ding E et al. | β | 2022 | β |
| A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables. | Hecker J et al. | β | 2022 | β |
| Association of Dietary Carrot/Carotene Intakes With Colorectal Cancer Incidence and Mortality in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. | Jiang Z et al. | β | 2022 | β |
| Cancer Effects of Low to Moderate Doses of Ionizing Radiation in Young People with Cancer-Predisposing Conditions: A Systematic Review. | Canet M et al. | β | 2022 | β |
| Differential Relations of Parental Behavior to Children's Early Executive Function as a Function of Child Genotype: A Systematic Review. | Vrantsidis DM et al. | β | 2022 | β |
| Diverse environmental perturbations reveal the evolution and context-dependency of genetic effects on gene expression levels. | Lea AJ et al. | β | 2022 | β |
| Environmental pathways affecting gene expression (E.PAGE) as an R package to predict gene-environment associations. | Muralidharan S et al. | β | 2022 | β |
| Gene-environment interactions in human health. | O'Sullivan A | β | 2022 | β |
| Gene-Environment Interactions in Vitamin D Status and Sun Exposure: A Systematic Review with Recommendations for Future Research. | Shraim R et al. | β | 2022 | β |
| Genome-wide association study identifies a gene responsible for temperature-dependent rice germination. | Yoshida H et al. | β | 2022 | β |
| Genome-wide by Environment Interaction Study of Stressful Life Events and Hospital-Treated Depression in the iPSYCH2012 Sample. | Suppli NP et al. | β | 2022 | β |
| Genome-wide gene-air pollution interaction analysis of lung function in 300,000 individuals. | Melbourne CA et al. | β | 2022 | β |
| Genome-Wide Scan for Parent-of-Origin Effects in a sub-Saharan African Cohort With Nonsyndromic Cleft Lip and/or Cleft Palate (CL/P). | Gowans LJJ et al. | β | 2022 | β |
| Identification of Gene-Environment Interactions by Non-Parametric Kendall's Partial Correlation with Application to TCGA Ultrahigh-Dimensional Survival Genomic Data. | Wang JH et al. | β | 2022 | β |
| Identification of QTLs for wheat heading time across multiple-environments. | Benaouda S et al. | β | 2022 | β |
| Inference of gene-environment interaction from heterogeneous case-parent trios. | Ratnasekera P et al. | β | 2022 | β |
| [Mechanisms of Cancer Malignancy Elicited by Environmental Chemicals: Analysis Focusing on Cadmium and Bisphenol A]. | Hirao-Suzuki M | β | 2022 | β |
| Multidimensional molecular measurements-environment interaction analysis for disease outcomes. | Xu Y et al. | β | 2022 | β |
| Next-Generation Examination, Diagnosis, and Personalized Medicine in Periodontal Disease. | Kikuchi T et al. | β | 2022 | β |
| Overlapping group screening for detection of gene-environment interactions with application to TCGA high-dimensional survival genomic data. | Wang JH et al. | β | 2022 | β |
| Strengthening Causal Inference in Exposomics Research: Application of Genetic Data and Methods. | Avery CL et al. | β | 2022 | β |
| Toxicological Mechanism of Individual Susceptibility to Formaldehyde-Induced Respiratory Effects. | Tian M et al. | β | 2022 | β |
| Unraveling the complex interplay between genes, environment, and climate in ALS. | Vasta R et al. | β | 2022 | β |
| VEGF-A, VEGFR1 and VEGFR2 single nucleotide polymorphisms and outcomes from the AGITG MAX trial of capecitabine, bevacizumab and mitomycin C in metastatic colorectal cancer. | Chionh F et al. | β | 2022 | β |
| A Likelihood Ratio Test for Gene-Environment Interaction Based on the Trend Effect of Genotype Under an Additive Risk Model Using the Gene-Environment Independence Assumption. | de Rochemonteix M et al. | β | 2021 | β |
| A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables | Hecker J et al. | β | 2021 | β |
| Black and unarmed: statistical interaction between age, perceived mental illness, and geographic region among males fatally shot by police using case-only design. | Thomas MD et al. | β | 2021 | β |
| Empowering individual trait prediction using interactions for precision medicine. | Gola D et al. | β | 2021 | β |
| Exploring the Use of Genomic and Routinely Collected Data: Narrative Literature Review and Interview Study. | Daniels H et al. | β | 2021 | β |
| GEInter: an R package for robust gene-environment interaction analysis. | Wu M et al. | β | 2021 | β |
| Gene-Environment Interaction: A Variable Selection Perspective. | Zhou F et al. | β | 2021 | β |
| Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies? | Park J et al. | β | 2021 | β |
| Genetic interactions with stressful environments in depression and addiction. | Burmeister M et al. | β | 2021 | β |
| Genetic variants related to physical activity or sedentary behaviour: a systematic review. | Aasdahl L et al. | β | 2021 | β |
| Genome-wide gene-environment interactions in neuroticism: an exploratory study across 25 environments. | Werme J et al. | β | 2021 | β |
| Meta-Analysis of Joint Test of SNP and SNP-Environment Interaction with Heterogeneity. | Jin Q et al. | β | 2021 | β |
| Modeling genome-wide by environment interactions through omnigenic interactome networks. | Wang H et al. | β | 2021 | β |
| Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. | Sun D et al. | β | 2021 | β |
| Obesity and incident gastrointestinal cancers: overall body size or central obesity measures, which factor matters? | Hashemi Madani N et al. | β | 2021 | β |
| Rhizobial-Host Interactions and Symbiotic Nitrogen Fixation in Legume Crops Toward Agriculture Sustainability. | Goyal RK et al. | β | 2021 | β |
| SNPxE: SNP-environment interaction pattern identifier. | Lin HY et al. | β | 2021 | β |
| Testing gene-environment interactions in the presence of confounders and mismeasured environmental exposures. | Cheng C et al. | β | 2021 | β |
| The impact of age on genetic risk for common diseases. | Jiang X et al. | β | 2021 | β |
| Using Genetic Marginal Effects to Study Gene-Environment Interactions with GWAS Data. | Verhulst B et al. | β | 2021 | β |
| Comparison of haplotype-based tests for detecting gene-environment interactions with rare variants. | Papachristou C et al. | β | 2020 | β |
| Dynamic genetic architecture of yeast response to environmental perturbation shed light on origin of cryptic genetic variation. | Zan Y et al. | β | 2020 | β |
| Embracing study heterogeneity for finding genetic interactions in large-scale research consortia. | Liu Y et al. | β | 2020 | β |
| Endocrine disruptors from the environment affecting breast cancer. | Calaf GM et al. | β | 2020 | β |
| Fast computation of genome-metagenome interaction effects. | Guinot F et al. | β | 2020 | β |
| Genetics of Chronic Traumatic Encephalopathy. | Abdolmohammadi B et al. | β | 2020 | β |
| Genomic resources for dissecting the role of non-protein coding variation in gene-environment interactions. | Levings D et al. | β | 2020 | β |
| High Risk of Fatty Liver Disease Amplifies the Alanine Transaminase-Lowering Effect of a HSD17B13 Variant. | Gellert-Kristensen H et al. | β | 2020 | β |
| HisCoM-GΓE: Hierarchical Structural Component Analysis of Gene-Based Gene-Environment Interactions. | Choi S et al. | β | 2020 | β |
| <i>CEACAM3</i> decreases asthma exacerbations and modulates respiratory syncytial virus latent infection in children. | Tsai CH et al. | β | 2020 | β |
| Identification of gene-environment interactions with marginal penalization. | Zhang S et al. | β | 2020 | β |
| Metabolome-based prediction of yield heterosis contributes to the breeding of elite rice. | Dan Z et al. | β | 2020 | β |
| Mouse Systems Genetics as a Prelude to Precision Medicine. | Li H et al. | β | 2020 | β |
| Nordic OCD & Related Disorders Consortium: Rationale, design, and methods. | Mataix-Cols D et al. | β | 2020 | β |
| p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies. | Diakite B et al. | β | 2020 | β |
| Role of Rare and Low-Frequency Variants in Gene-Alcohol Interactions on Plasma Lipid Levels. | Wang Z et al. | β | 2020 | β |
| Single cell profiling of capillary blood enables out of clinic human immunity studies. | Dobreva T et al. | β | 2020 | β |
| Systematic Review of Polygenic Risk Scores for Type 1 and Type 2 Diabetes. | Padilla-MartΓnez F et al. | β | 2020 | β |
| Targeting progesterone signaling prevents metastatic ovarian cancer. | Kim O et al. | β | 2020 | β |
| Testing gene-environment interactions for rare and/or common variants in sequencing association studies. | Zhao Z et al. | β | 2020 | β |
| The pulse of the tree is under genetic control: eucalyptus as a case study. | BartholomΓ© J et al. | β | 2020 | β |
| A Fast and Accurate Method for Genome-wide Scale Phenome-wide G Γ E Analysis and Its Application to UK Biobank. | Bi W et al. | β | 2019 | β |
| A genome-wide scan of cleft lip triads identifies parent-of-origin interaction effects between <i>ANK3</i> and maternal smoking, and between <i>ARHGEF10</i> and alcohol consumption. | Haaland ΓA et al. | β | 2019 | β |
| Air pollution and DNA methylation: effects of exposure in humans. | Rider CF et al. | β | 2019 | β |
| A network approach to prioritizing susceptibility genes for genome-wide association studies. | Kafaie S et al. | β | 2019 | β |
| Association mapping in plants in the post-GWAS genomics era. | Gupta PK et al. | β | 2019 | β |
| [Breakthrough in understanding the molecular causes of psychiatric disorders]. | NΓΆthen MM et al. | β | 2019 | β |
| Editorial: The Role of Genetic and Lifestyle Factors in Metabolic Diseases. | Ahmad S et al. | β | 2019 | β |
| ETIOSARC study : environmental aetiology of sarcomas from a French prospective multicentric population-based case-control study-study protocol. | Lacourt A et al. | β | 2019 | β |
| Exploring predictive biomarkers from clinical genome-wide association studies via multidimensional hierarchical mixture models. | Otani T et al. | β | 2019 | β |
| Extended methods for gene-environment-wide interaction scans in studies of admixed individuals with varying degrees of relationships. | Chen Y et al. | β | 2019 | β |
| Gene-by-environment interactions in Alzheimer's disease and Parkinson's disease. | Dunn AR et al. | β | 2019 | β |
| Gene-environment interactions and colorectal cancer risk: An umbrella review of systematic reviews and meta-analyses of observational studies. | Yang T et al. | β | 2019 | β |
| Gene Lifestyle Interactions With Relation to Obesity, Cardiometabolic, and Cardiovascular Traits Among South Asians. | Ahmad S et al. | β | 2019 | β |
| Genetic determinants of beverage consumption: Implications for nutrition and health. | Cornelis MC | β | 2019 | β |
| Genome-wide signatures of local adaptation among seven stoneflies species along a nationwide latitudinal gradient in Japan. | Gamboa M et al. | β | 2019 | β |
| Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank. | Wang H et al. | β | 2019 | β |
| Investigating Gene-Gene and Gene-Environment Interactions in the Association Between Overnutrition and Obesity-Related Phenotypes. | Tessier F et al. | β | 2019 | β |
| Joint Analysis of Multiple Interaction Parameters in Genetic Association Studies. | Kim J et al. | β | 2019 | β |
| Pathway analysis of a genome-wide gene by air pollution interaction study in asthmatic children. | Ierodiakonou D et al. | β | 2019 | β |
| Physical Activity, APOE Genotype, and Cognitive Decline: Exploring Gene-Environment Interactions in the UK Biobank. | Folley S et al. | β | 2019 | β |
| Quick assessment for systematic test statistic inflation/deflation due to null model misspecifications in genome-wide environment interaction studies. | Ueki M et al. | β | 2019 | β |
| Robust genetic interaction analysis. | Wu M et al. | β | 2019 | β |
| Robust identification of gene-environment interactions for prognosis using a quantile partial correlation approach. | Xu Y et al. | β | 2019 | β |
| Robust semiparametric gene-environment interaction analysis using sparse boosting. | Wu M et al. | β | 2019 | β |
| The Evolving Field of Genetic Epidemiology: From Familial Aggregation to Genomic Sequencing. | Duggal P et al. | β | 2019 | β |
| The study of interactions between genome and exposome in the development of systemic lupus erythematosus. | Leffers HCB et al. | β | 2019 | β |
| Using Genetic Burden Scores for Gene-by-Methylation Interaction Analysis on Metabolic Syndrome in African Americans. | Taylor JY et al. | β | 2019 | β |
| "Why did I get that part of you?" Understanding addiction genetics through family history. | Dingel MJ et al. | β | 2019 | β |
| Abruptio placentae risk and genetic variations in mitochondrial biogenesis and oxidative phosphorylation: replication of a candidate gene association study. | Workalemahu T et al. | β | 2018 | β |
| A meta-analysis approach with filtering for identifying gene-level gene-environment interactions. | Wang J et al. | β | 2018 | β |
| Analysis of Parent-of-Origin Effects on the X Chromosome in Asian and European Orofacial Cleft Triads Identifies Associations with <i>DMD, FGF13, EGFL6</i>, and Additional Loci at Xp22.2. | Skare Γ et al. | β | 2018 | β |
| Another Round of "Clue" to Uncover the Mystery of Complex Traits. | Verma SS et al. | β | 2018 | β |
| Application of the parametric bootstrap for gene-set analysis of gene-environment interactions. | Coombes BJ et al. | β | 2018 | β |
| A Review on Methods for Detecting SNP Interactions in High-Dimensional Genomic Data. | Uppu S et al. | β | 2018 | β |
| Consensus report of the 8 and 9th Weinman Symposia on Gene x Environment Interaction in carcinogenesis: novel opportunities for precision medicine. | Carbone M et al. | β | 2018 | β |
| Gene Γ Environment Interaction in Developmental Disorders: Where Do We Stand and What's Next? | Esposito G et al. | β | 2018 | β |
| Gene-environment interactions in case-control studies with silent disease. | Lobach I et al. | β | 2018 | β |
| Genome scan identifies flowering-independent effects of barley HsDry2.2 locus on yield traits under water deficit. | Merchuk-Ovnat L et al. | β | 2018 | β |
| Genomic and environmental determinants and their interplay underlying phenotypic plasticity. | Li X et al. | β | 2018 | β |
| Genotypic variability-based genome-wide association study identifies non-additive loci HLA-C and IL12B for psoriasis. | Wei WH et al. | β | 2018 | β |
| Host genetics and microbiome associations through the lens of genome wide association studies. | Weissbrod O et al. | β | 2018 | β |
| Incorporating Functional Genomic Information to Enhance Polygenic Signal and Identify Variants Involved in Gene-by-Environment Interaction for Young Adult Alcohol Problems. | Salvatore JE et al. | β | 2018 | β |
| Interactions Between Variation in Candidate Genes and Environmental Factors in the Etiology of Schizophrenia and Bipolar Disorder: a Systematic Review. | Misiak B et al. | β | 2018 | β |
| Interplay between diet and genetic susceptibility in obesity and related traits. | Wang T et al. | β | 2018 | β |
| INVOLVEMENT OF MULTIPLE MOLECULAR PATHWAYS IN THE GENETICS OF OCULAR REFRACTION AND MYOPIA. | Wojciechowski R et al. | β | 2018 | β |
| Keeping Pace with the Red Queen: Identifying the Genetic Basis of Susceptibility to Infectious Disease. | MacPherson A et al. | β | 2018 | β |
| Landscape features along migratory routes influence adaptive genomic variation in anadromous steelhead (Oncorhynchus mykiss). | Micheletti SJ et al. | β | 2018 | β |
| Large-scale pharmacogenomic study of sulfonylureas and the QT, JT and QRS intervals: CHARGE Pharmacogenomics Working Group. | Floyd JS et al. | β | 2018 | β |
| Manganese exposure exacerbates progressive motor deficits and neurodegeneration in the MitoPark mouse model of Parkinson's disease: Relevance to gene and environment interactions in metal neurotoxicity. | Langley MR et al. | β | 2018 | β |
| Nuclear receptor and VEGF pathways for gene-blood lead interactions, on bone mineral density, in Korean smokers. | Lee HS et al. | β | 2018 | β |
| Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology. | Seyerle AA et al. | β | 2018 | β |
| Prioritizing diversity in human genomics research. | Hindorff LA et al. | β | 2018 | β |
| Robust gene-environment interaction analysis using penalized trimmed regression. | Xu Y et al. | β | 2018 | β |
| Significance of risk polymorphisms for depression depends on stress exposure. | Gonda X et al. | β | 2018 | β |
| Smoking and Parkinson disease: Evidence for gene-by-smoking interactions. | Lee PC et al. | β | 2018 | β |
| Subset-Based Analysis Using Gene-Environment Interactions for Discovery of Genetic Associations across Multiple Studies or Phenotypes. | Yu Y et al. | β | 2018 | β |
| Testing for gene-environment interaction under exposure misspecification. | Sun R et al. | β | 2018 | β |
| The Role of Genetics in Advancing Precision Medicine for Alzheimer's Disease-A Narrative Review. | Freudenberg-Hua Y et al. | β | 2018 | β |
| Accommodating missingness in environmental measurements in gene-environment interaction analysis. | Wu M et al. | β | 2017 | β |
| A combination test for detection of gene-environment interaction in cohort studies. | Coombes B et al. | β | 2017 | β |
| Altered vulnerability to asthma at various levels of ambient Benzo[a]Pyrene by CTLA4, STAT4 and CYP2E1 polymorphisms. | Choi H et al. | β | 2017 | β |
| A Review of the Genetics of Hypertension with a Focus on Gene-Environment Interactions. | Waken RJ et al. | β | 2017 | β |
| Associations between serotonin transporter and behavioral traits and diagnoses related to anxiety. | Talati A et al. | β | 2017 | β |
| A systematic SNP selection approach to identify mechanisms underlying disease aetiology: linking height to post-menopausal breast and colorectal cancer risk. | Elands RJ et al. | β | 2017 | β |
| A unified powerful set-based test for sequencing data analysis of GxE interactions. | Su YR et al. | β | 2017 | β |
| Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies. | Lu ZH et al. | β | 2017 | β |
| Comparative network stratification analysis for identifying functional interpretable network biomarkers. | Zhang C et al. | β | 2017 | β |
| Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases. | McAllister K et al. | β | 2017 | β |
| Detection of gene-environment interactions in a family-based population using SCAD. | Kim G et al. | β | 2017 | β |
| Differences in Gut Metabolites and Microbial Composition and Functions between Egyptian and U.S. Children Are Consistent with Their Diets. | Shankar V et al. | β | 2017 | β |
| Environment-Dependent Genotype-Phenotype Associations in Avian Breeding Time. | Gienapp P et al. | β | 2017 | β |
| Esophageal cancer in high-risk areas of China: research progress and challenges. | Lin Y et al. | β | 2017 | β |
| Exposure enriched outcome dependent designs for longitudinal studies of gene-environment interaction. | Sun Z et al. | β | 2017 | β |
| FIT: statistical modeling tool for transcriptome dynamics under fluctuating field conditions. | Iwayama K et al. | β | 2017 | β |
| Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies. | Smith JA et al. | β | 2017 | β |
| Gene-Hormone Therapy Interaction and Fracture Risk in Postmenopausal Women. | Wang Y et al. | β | 2017 | β |
| Genetic variants in 5-HTTLPR, BDNF, HTR1A, COMT, and FKBP5 and risk for treated depression after cancer diagnosis. | Suppli NP et al. | β | 2017 | β |
| Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior. | Tielbeek JJ et al. | β | 2017 | β |
| Genotype-environment interaction on human cognitive function conditioned on the status of breastfeeding and maternal smoking around birth. | Lee SH et al. | β | 2017 | β |
| Genotypic variability based association identifies novel non-additive loci DHCR7 and IRF4 in sero-negative rheumatoid arthritis. | Wei WH et al. | β | 2017 | β |
| "I don't have to know why it snows, I just have to shovel it!": Addiction Recovery, Genetic Frameworks, and Biological Citizenship. | Dingel MJ et al. | β | 2017 | β |
| Incorporation of Biological Knowledge Into the Study of Gene-Environment Interactions. | Ritchie MD et al. | β | 2017 | β |
| Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health. | Manrai AK et al. | β | 2017 | β |
| Integrating ion mobility spectrometry into mass spectrometry-based exposome measurements: what can it add and how far can it go? | Metz TO et al. | β | 2017 | β |
| Interaction between genes and macronutrient intake on the risk of developing type 2 diabetes: systematic review and findings from European Prospective Investigation into Cancer (EPIC)-InterAct. | Li SX et al. | β | 2017 | β |
| Interaction Between the ΞΌ-Opioid Receptor Gene and the Number of Heavy-Drinking Peers on Alcohol Use. | Zaso MJ et al. | β | 2017 | β |
| Interventional Effects for Mediation Analysis with Multiple Mediators. | Vansteelandt S et al. | β | 2017 | β |
| Lessons Learned From Past Gene-Environment Interaction Successes. | Ritz BR et al. | β | 2017 | β |
| Microbial genome-wide association studies: lessons from human GWAS. | Power RA et al. | β | 2017 | β |
| Multiancestry Study of Gene-Lifestyle Interactions for Cardiovascular Traits in 610 475 Individuals From 124 Cohorts: Design and Rationale. | Rao DC et al. | β | 2017 | β |
| Multiple Gene-Environment Interactions on the Angiogenesis Gene-Pathway Impact Rectal Cancer Risk and Survival. | Sharafeldin N et al. | β | 2017 | β |
| Nature, Nurture, and Cancer Risks: Genetic and Nutritional Contributions to Cancer. | Theodoratou E et al. | β | 2017 | β |
| On meta- and mega-analyses for gene-environment interactions. | Huang J et al. | β | 2017 | β |
| Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies. | Patel CJ et al. | β | 2017 | β |
| Pathway analysis of complex diseases for GWAS, extending to consider rare variants, multi-omics and interactions. | Kao PY et al. | β | 2017 | β |
| Personalized medicine: Genetic risk prediction of drug response. | Zhang G et al. | β | 2017 | β |
| Precision Nutrition for Targeting Lipid Metabolism in Colorectal Cancer. | Aguirre-PortolΓ©s C et al. | β | 2017 | β |
| Set-Based Tests for the Gene-Environment Interaction in Longitudinal Studies. | He Z et al. | β | 2017 | β |
| The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers. | Amos CI et al. | β | 2017 | β |
| What Does "Precision Medicine" Have to Say About Prevention? | Thomas DC | β | 2017 | β |
| Accounting for Population Structure in Gene-by-Environment Interactions in Genome-Wide Association Studies Using Mixed Models. | Sul JH et al. | β | 2016 | β |
| Accumulating evidence for a role of TCF7L2 variants in bipolar disorder with elevated body mass index. | Cuellar-Barboza AB et al. | β | 2016 | β |
| A Cellular GWAS Approach to Define Human Variation in Cellular Pathways Important to Inflammation. | Miller SI et al. | β | 2016 | β |
| A Framework for Interpreting Type I Error Rates from a Product-Term Model of Interaction Applied to Quantitative Traits. | Rao TJ et al. | β | 2016 | β |
| A Genome-wide study of blood pressure in African Americans accounting for gene-smoking interaction. | Taylor JY et al. | β | 2016 | β |
| Analytical Complexity in Detection of Gene Variant-by-Environment Exposure Interactions in High-Throughput Genomic and Exposomic Research. | Patel CJ | β | 2016 | β |
| An Empirical Comparison of Joint and Stratified Frameworks for Studying G Γ E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group. | Sung YJ et al. | β | 2016 | β |
| A perspective on interaction effects in genetic association studies. | Aschard H | β | 2016 | β |
| Associations of air pollution exposure with blood pressure and heart rate variability are modified by oxidative stress genes: A repeated-measures panel among elderly urban residents. | Kim KN et al. | β | 2016 | β |
| A Three-Way Interaction among Maternal and Fetal Variants Contributing to Congenital Heart Defects. | Li M et al. | β | 2016 | β |
| A unified set-based test with adaptive filtering for gene-environment interaction analyses. | Liu Q et al. | β | 2016 | β |
| Constrained Score Statistics Identify Genetic Variants Interacting with Multiple Risk Factors in Barrett's Esophagus. | Dai JY et al. | β | 2016 | β |
| Depression, Stressful Life Events, and the Impact of Variation in the Serotonin Transporter: Findings from the National Longitudinal Study of Adolescent to Adult Health (Add Health). | Haberstick BC et al. | β | 2016 | β |
| Evaluation of pleiotropic effects among common genetic loci identified for cardio-metabolic traits in a Korean population. | Kim YK et al. | β | 2016 | β |
| Exposure Enriched Case-Control (EECC) Design for the Assessment of Gene-Environment Interaction. | Huque MH et al. | β | 2016 | β |
| Fetal programming of neuropsychiatric disorders. | Faa G et al. | β | 2016 | β |
| Genetic Association-Guided Analysis of Gene Networks for the Study of Complex Traits. | Greene CS et al. | β | 2016 | β |
| Genome-Wide Analysis Reveals Novel Regulators of Growth in Drosophila melanogaster. | Vonesch SC et al. | β | 2016 | β |
| Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer. | Gong J et al. | β | 2016 | β |
| How to make DNA methylome wide association studies more powerful. | Lin X et al. | β | 2016 | β |
| Identification of an Association of TNFAIP3 Polymorphisms With Matrix Metalloproteinase Expression in Fibroblasts in an Integrative Study of Systemic Sclerosis-Associated Genetic and Environmental Factors. | Wei P et al. | β | 2016 | β |
| Key Considerations and Methods in the Study of Gene-Environment Interactions. | Simon PH et al. | β | 2016 | β |
| Learning Bayesian Networks from Correlated Data. | Bae H et al. | β | 2016 | β |
| Major histocompatibility complex harbors widespread genotypic variability of non-additive risk of rheumatoid arthritis including epistasis. | Wei WH et al. | β | 2016 | β |
| Meta-analysis of gene-environment-wide association scans accounting for education level identifies additional loci for refractive error. | Fan Q et al. | β | 2016 | β |
| Proteome-wide association studies identify biochemical modules associated with a wing-size phenotype in Drosophila melanogaster. | Okada H et al. | β | 2016 | β |
| Rethinking Schizophrenia in the Context of the Person and Their Circumstances: Seven Reasons. | PΓ©rez-Γlvarez M et al. | β | 2016 | β |
| Review of the Gene-Environment Interaction Literature in Cancer: What Do We Know? | Simonds NI et al. | β | 2016 | β |
| Schizophrenia. | Owen MJ et al. | β | 2016 | β |
| SPE-IMS-MS: An automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids. | Zhang X et al. | β | 2016 | β |
| Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification. | Boonstra PS et al. | β | 2016 | β |
| The Genetic Architecture of Noise-Induced Hearing Loss: Evidence for a Gene-by-Environment Interaction. | Lavinsky J et al. | β | 2016 | β |
| The hallmarks of premalignant conditions: a molecular basis for cancer prevention. | Ryan BM et al. | β | 2016 | β |
| A guide to genome-wide association analysis and post-analytic interrogation. | Reed E et al. | β | 2015 | β |
| Allowing for population stratification in case-only studies of gene-environment interaction, using genomic control. | Yadav P et al. | β | 2015 | β |
| An Improved Version of Logistic Bayesian LASSO for Detecting Rare Haplotype-Environment Interactions with Application to Lung Cancer. | Zhang Y et al. | β | 2015 | β |
| A reconsideration of the role of self-identified races in epidemiology and biomedical research. | Lorusso L et al. | β | 2015 | β |
| Assessing the carcinogenic potential of low-dose exposures to chemical mixtures in the environment: the challenge ahead. | Goodson WH et al. | β | 2015 | β |
| Can meta-omics help to establish causality between contaminant biotransformations and genes or gene products? | Johnson DR et al. | β | 2015 | β |
| Causes of genome instability: the effect of low dose chemical exposures in modern society. | Langie SA et al. | β | 2015 | β |
| Common variation in PHACTR1 is associated with susceptibility to cervical artery dissection. | Debette S et al. | β | 2015 | β |
| Complete effect-profile assessment in association studies with multiple genetic and multiple environmental factors. | Wang Z et al. | β | 2015 | β |
| Considerations for Using Genetic and Epigenetic Information in Occupational Health Risk Assessment and Standard Setting. | Schulte PA et al. | β | 2015 | β |
| Deciphering Genome Environment Wide Interactions Using Exposed Subjects Only. | Zhao LP et al. | β | 2015 | β |
| Detecting gene-environment interactions in human birth defects: Study designs and statistical methods. | Tai CG et al. | β | 2015 | β |
| Etiologic field effect: reappraisal of the field effect concept in cancer predisposition and progression. | Lochhead P et al. | β | 2015 | β |
| Exploring the function of genetic variants in the non-coding genomic regions: approaches for identifying human regulatory variants affecting gene expression. | Li MJ et al. | β | 2015 | β |
| Fat intake and the development of type 2 diabetes. | Nagao M et al. | β | 2015 | β |
| Filter-free exhaustive odds ratio-based genome-wide interaction approach pinpoints evidence for interaction in the HLA region in psoriasis. | Grange L et al. | β | 2015 | β |
| Gene-by-Environment Interactions in Pancreatic Cancer: Implications for Prevention. | Jansen RJ et al. | β | 2015 | β |
| Gene by stress genome-wide interaction analysis and path analysis identify EBF1 as a cardiovascular and metabolic risk gene. | Singh A et al. | β | 2015 | β |
| Gene-environment interactions and obesity: recent developments and future directions. | Huang T et al. | β | 2015 | β |
| Gene-Environment Interactions in Asthma: Genetic and Epigenetic Effects. | Lee JU et al. | β | 2015 | β |
| Gene-environment interactions in inflammatory bowel disease pathogenesis. | Wang MH et al. | β | 2015 | β |
| Gene-Environment Interplay: Where We Are, Where We Are Going. | Salvatore JE et al. | β | 2015 | β |
| Gene-smoking interactions identify several novel blood pressure loci in the Framingham Heart Study. | Sung YJ et al. | β | 2015 | β |
| Genetic architecture of colorectal cancer. | Peters U et al. | β | 2015 | β |
| Genetic aspects of thrombotic disease. | GarcΓa de Frutos P et al. | β | 2015 | β |
| Genetic determinants of depression: recent findings and future directions. | Dunn EC et al. | β | 2015 | β |
| Genetics and brain morphology. | Strike LT et al. | β | 2015 | β |
| Genetics of cardiovascular disease: Importance of sex and ethnicity. | Winham SJ et al. | β | 2015 | β |
| Integrating NIMH Research Domain Criteria (RDoC) into Depression Research. | Woody ML et al. | β | 2015 | β |
| Latent variable models for gene-environment interactions in longitudinal studies with multiple correlated exposures. | Tao Y et al. | β | 2015 | β |
| Lung function, genetics and socioeconomic conditions. | Quanjer PH | β | 2015 | β |
| Mapping of Genetic Factors That Elicit Intermale Aggressive Behavior on Mouse Chromosome 15: Intruder Effects and the Complex Genetic Basis. | Takahashi A et al. | β | 2015 | β |
| Measures of exposure impact genetic association studies: an example in vitamin K levels and VKORC1. | Crawford DC et al. | β | 2015 | β |
| Modulation of genetic associations with serum urate levels by body-mass-index in humans. | Huffman JE et al. | β | 2015 | β |
| Nutrients, foods, and colorectal cancer prevention. | Song M et al. | β | 2015 | β |
| Polygenic risk for externalizing disorders: Gene-by-development and gene-by-environment effects in adolescents and young adults. | Salvatore JE et al. | β | 2015 | β |
| Powerful Tukey's One Degree-of-Freedom Test for Detecting Gene-Gene and Gene-Environment Interactions. | Wang Y et al. | β | 2015 | β |
| Quantitative trait loci and candidate genes underlying genotype by environment interaction in the response of Arabidopsis thaliana to drought. | El-Soda M et al. | β | 2015 | β |
| Subgroups at high risk for ischaemic heart disease:identification and validation in 67β000 individuals from the general population. | Frikke-Schmidt R et al. | β | 2015 | β |
| The Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort study: assessment of environmental exposures. | Takaro TK et al. | β | 2015 | β |
| The differential view of genotype-phenotype relationships. | Orgogozo V et al. | β | 2015 | β |
| The hidden efficacy of interventions: geneΓenvironment experiments from a differential susceptibility perspective. | Bakermans-Kranenburg MJ et al. | β | 2015 | β |
| The impact of exposure-biased sampling designs on detection of gene-environment interactions in case-control studies with potential exposure misclassification. | Stenzel SL et al. | β | 2015 | β |
| The interactions between alcohol consumption and DNA methylation of the ADD1 gene promoter modulate essential hypertension susceptibility in a population-based, case-control study. | Han L et al. | β | 2015 | β |
| The mathematical limits of genetic prediction for complex chronic disease. | Keyes KM et al. | β | 2015 | β |
| The Psychiatric Genomics Consortium Posttraumatic Stress Disorder Workgroup: Posttraumatic Stress Disorder Enters the Age of Large-Scale Genomic Collaboration. | Logue MW et al. | β | 2015 | β |
| The role of linkage disequilibrium in case-only studies of gene-environment interactions. | Yadav P et al. | β | 2015 | β |
| Variability in the effect of 5-HTTLPR on depression in a large European population: the role of age, symptom profile, type and intensity of life stressors. | Juhasz G et al. | β | 2015 | β |
| An empirical comparison of meta-analysis and mega-analysis of individual participant data for identifying gene-environment interactions. | Sung YJ et al. | β | 2014 | β |
| Angiotensin-converting enzyme gene polymorphisms and hypertension in occupational noise exposure in Egypt. | Zawilla N et al. | β | 2014 | β |
| Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers. | Zhu H et al. | β | 2014 | β |
| Bounds on causal interactions for binary outcomes. | SjΓΆlander A et al. | β | 2014 | β |
| Brain-derived neurotrophic factor/FK506-binding protein 5 genotype by childhood trauma interactions do not impact on hippocampal volume and cognitive performance. | Hernaus D et al. | β | 2014 | β |
| Common genetic variants modulate pathogen-sensing responses in human dendritic cells. | Lee MN et al. | β | 2014 | β |
| Comparison of two methods for analysis of gene-environment interactions in longitudinal family data: the Framingham heart study. | Sung YJ et al. | β | 2014 | β |
| Detecting rare haplotype-environment interaction with logistic Bayesian LASSO. | Biswas S et al. | β | 2014 | β |
| Discovering pure gene-environment interactions in blood pressure genome-wide association studies data: a two-step approach incorporating new statistics. | Wang MH et al. | β | 2014 | β |
| Disposed to distraction: genetic variation in the cholinergic system influences distractibility but not time-on-task effects. | Berry AS et al. | β | 2014 | β |
| eMERGEing progress in genomics-the first seven years. | Crawford DC et al. | β | 2014 | β |
| Evidence of heterogeneity by race/ethnicity in genetic determinants of QT interval. | Seyerle AA et al. | β | 2014 | β |
| Expression quantitative trait analyses to identify causal genetic variants for type 2 diabetes susceptibility. | Das SK et al. | β | 2014 | β |
| Finding genomic function for genetic associations in nicotine addiction research: the ENCODE project's role in future pharmacogenomic analysis. | Vandenbergh DJ et al. | β | 2014 | β |
| Functional logistic regression approach to detecting gene by longitudinal environmental exposure interaction in a case-control study. | Wei P et al. | β | 2014 | β |
| Gene-environment interaction. | Manuck SB et al. | β | 2014 | β |
| Gene-environment interaction involving recently identified colorectal cancer susceptibility Loci. | Kantor ED et al. | β | 2014 | β |
| Gene mutations in Wilson disease in Egyptian children: report on two novel mutations. | El-Mougy FA et al. | β | 2014 | β |
| Genetic architecture of cognitive traits. | Le Hellard S et al. | β | 2014 | β |
| Genetics of alcohol dependence: a review of clinical studies. | Samochowiec J et al. | β | 2014 | β |
| Genome-wide investigation of DNA methylation marks associated with FV Leiden mutation. | AΓ―ssi D et al. | β | 2014 | β |
| Genomics and personalised whole-of-life healthcare. | Bauer DC et al. | β | 2014 | β |
| GenotypeΓenvironment interaction QTL mapping in plants: lessons from Arabidopsis. | El-Soda M et al. | β | 2014 | β |
| Germline DNA variations in breast cancer predisposition and prognosis: a systematic review of the literature. | Sapkota Y | β | 2014 | β |
| How genetic studies have advanced our understanding of age-related macular degeneration and their impact on patient care: a review. | Baird PN et al. | β | 2014 | β |
| Identifying gene-environment and gene-gene interactions using a progressive penalization approach. | Zhu R et al. | β | 2014 | β |
| Joint testing of genotypic and gene-environment interaction identified novel association for BMP4 with non-syndromic CL/P in an Asian population using data from an International Cleft Consortium. | Chen Q et al. | β | 2014 | β |
| Jumping on the Train of Personalized Medicine: A Primer for Non-Geneticist Clinicians: Part 2. Fundamental Concepts in Genetic Epidemiology. | Li A et al. | β | 2014 | β |
| Lack of replication of the GRIN2A-by-coffee interaction in Parkinson disease. | Ahmed I et al. | β | 2014 | β |
| Meta-analysis of SNPs involved in variance heterogeneity using Levene's test for equal variances. | Deng WQ et al. | β | 2014 | β |
| Network-Based Methods to Identify Highly Discriminating Subsets of Biomarkers. | Sajjadi SJ et al. | β | 2014 | β |
| Pathway-based analysis tools for complex diseases: a review. | Jin L et al. | β | 2014 | β |
| Polygenic scores predict alcohol problems in an independent sample and show moderation by the environment. | Salvatore JE et al. | β | 2014 | β |
| Population-based association and gene by environment interactions in Genetic Analysis Workshop 18. | Satten GA et al. | β | 2014 | β |
| Post-GWAS gene-environment interplay in breast cancer: results from the Breast and Prostate Cancer Cohort Consortium and a meta-analysis on 79,000 women. | Barrdahl M et al. | β | 2014 | β |
| Smoking and risk of multiple sclerosis: evidence of modification by NAT1 variants. | Briggs FB et al. | β | 2014 | β |
| The downside of strong emotional memories: how human memory-related genes influence the risk for posttraumatic stress disorder--a selective review. | Wilker S et al. | β | 2014 | β |
| Untangling the interplay of genetic and metabolic influences on beta-cell function: Examples of potential therapeutic implications involving TCF7L2 and FFAR1. | Wagner R et al. | β | 2014 | β |
| A Bayesian Hierarchical Model for Relating Multiple SNPs within Multiple Genes to Disease Risk. | Duan L et al. | β | 2013 | β |
| A century after Fisher: time for a new paradigm in quantitative genetics. | Nelson RM et al. | β | 2013 | β |
| A genetic basis for the variable effect of smoking/nicotine on Parkinson's disease. | Hill-Burns EM et al. | β | 2013 | β |
| Analytical strategies for large imaging genetic datasets: experiences from the IMAGEN study. | Nymberg C et al. | β | 2013 | β |
| Animal models of GWAS-identified type 2 diabetes genes. | da Silva Xavier G et al. | β | 2013 | β |
| A nonparametric test to detect quantitative trait loci where the phenotypic distribution differs by genotypes. | Aschard H et al. | β | 2013 | β |
| A review of NCI's extramural grant portfolio: identifying opportunities for future research in genes and environment in cancer. | Ghazarian AA et al. | β | 2013 | β |
| A robust model-free approach for rare variants association studies incorporating gene-gene and gene-environmental interactions. | Fan R et al. | β | 2013 | β |
| BAYESIAN SEMIPARAMETRIC ANALYSIS FOR TWO-PHASE STUDIES OF GENE-ENVIRONMENT INTERACTION. | Ahn J et al. | β | 2013 | β |
| Biomarkers for personalised treatment in psychiatric diseases. | Bagdy G et al. | β | 2013 | β |
| Cancer prevention for the next generation. | White MC et al. | β | 2013 | β |
| Comparisons of power of statistical methods for gene-environment interaction analyses. | Ege MJ et al. | β | 2013 | β |
| Considering trauma exposure in the context of genetics studies of posttraumatic stress disorder: a systematic review. | Digangi J et al. | β | 2013 | β |
| Education influences the role of genetics in myopia. | Verhoeven VJ et al. | β | 2013 | β |
| Environmental confounding in gene-environment interaction studies. | Vanderweele TJ et al. | β | 2013 | β |
| Epistatic study reveals two genetic interactions in blood pressure regulation. | Ndiaye NC et al. | β | 2013 | β |
| Gene-alcohol interactions identify several novel blood pressure loci including a promising locus near SLC16A9. | Simino J et al. | β | 2013 | β |
| Gene-environment interactions for breast cancer risk among Chinese women: a report from the Shanghai Breast Cancer Genetics Study. | Li H et al. | β | 2013 | β |
| Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report. | Hutter CM et al. | β | 2013 | β |
| Gene-environment interactions in genome-wide association studies: current approaches and new directions. | Winham SJ et al. | β | 2013 | β |
| Genes, environments, and developmental research: methods for a multi-site study of early substance abuse. | Costello EJ et al. | β | 2013 | β |
| Genetics in population health science: strategies and opportunities. | Belsky DW et al. | β | 2013 | β |
| Genetic variants in pre-eclampsia should be interpreted with caution. | Li X et al. | β | 2013 | β |
| Genome-wide association analysis accounting for environmental factors through propensity-score matching: application to stressful live events in major depressive disorder. | Power RA et al. | β | 2013 | β |
| Genome-wide association study of personality traits in the long life family study. | Bae HT et al. | β | 2013 | β |
| Higher order interactions: detection of epistasis using machine learning and evolutionary computation. | Nelson RM et al. | β | 2013 | β |
| Human cardiovascular disease IBC chip-wide association with weight loss and weight regain in the look AHEAD trial. | McCaffery JM et al. | β | 2013 | β |
| Impact of the environment on the skeleton: is it modulated by genetic factors? | Ackert-Bicknell CL et al. | β | 2013 | β |
| Lung function, race and ethnicity: a conundrum. | Quanjer PH | β | 2013 | β |
| Meta-regression of gene-environment interaction in genome-wide association studies. | Xu X et al. | β | 2013 | β |
| Molecular genetic gene-environment studies using candidate genes in schizophrenia: a systematic review. | Modinos G et al. | β | 2013 | β |
| Molecular pathological epidemiology of epigenetics: emerging integrative science to analyze environment, host, and disease. | Ogino S et al. | β | 2013 | β |
| Personalised nutrition: how far has nutrigenomics progressed? | Hesketh J | β | 2013 | β |
| Radiation-dose response of glycophorin A somatic mutation in erythrocytes associated with gene polymorphisms of p53 binding protein 1. | Yoshida K et al. | β | 2013 | β |
| Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus. | Patel CJ et al. | β | 2013 | β |
| The advantages and limitations of trait analysis with GWAS: a review. | Korte A et al. | β | 2013 | β |
| The case-only test for gene-environment interaction is not uniformly powerful: an empirical example. | Wu C et al. | β | 2013 | β |
| The genetic contribution to disease risk and variability in response to diet: where is the hidden heritability? | Minihane AM | β | 2013 | β |
| The genetics of alcohol dependence. | Rietschel M et al. | β | 2013 | β |
| To control false positives in gene-gene interaction analysis: two novel conditional entropy-based approaches. | Zuo X et al. | β | 2013 | β |
| A mixed-model approach for genome-wide association studies of correlated traits in structured populations. | Korte A et al. | β | 2012 | β |
| An integrated map of genetic variation from 1,092 human genomes. | 1000 Genomes Project Consortium et al. | β | 2012 | β |
| Application of a novel hybrid study design to explore gene-environment interactions in orofacial clefts. | Skare O et al. | β | 2012 | β |
| Associations between genes in the one-carbon metabolism pathway and advanced colorectal adenoma risk in individuals with low folate intake. | Han SS et al. | β | 2012 | β |
| Behavioral genetics of affective and anxiety disorders. | Domschke K et al. | β | 2012 | β |
| Beyond the fourth wave of genome-wide obesity association studies. | Sandholt CH et al. | β | 2012 | β |
| Biological monitoring of carcinogens: current status and perspectives. | Pavanello S et al. | β | 2012 | β |
| Biomarkers intersect with the exposome. | Rappaport SM | β | 2012 | β |
| Bridging the gap from genetic association to functional understanding: the next generation of mouse models of multiple sclerosis. | Attfield KE et al. | β | 2012 | β |
| Challenges and opportunities in genome-wide environmental interaction (GWEI) studies. | Aschard H et al. | β | 2012 | β |
| Characterization of gene-environment interactions for colorectal cancer susceptibility loci. | Hutter CM et al. | β | 2012 | β |
| Chemical Safety for Sustainability (CSS): human in vivo biomonitoring data for complementing results from in vitro toxicology--a commentary. | Pleil JD et al. | β | 2012 | β |
| Cholesterol metabolism and colorectal cancers. | Jacobs RJ et al. | β | 2012 | β |
| Confluence of genes, environment, development, and behavior in a post Genome-Wide Association Study world. | Vrieze SI et al. | β | 2012 | β |
| Conventional case-cohort design and analysis for studies of interaction. | Cologne J et al. | β | 2012 | β |
| Data-driven integration of epidemiological and toxicological data to select candidate interacting genes and environmental factors in association with disease. | Patel CJ et al. | β | 2012 | β |
| DIFFERENTIAL SUSCEPTIBILITY TO CONTEXT: A PROMISING MODEL OF THE INTERPLAY OF GENES AND THE SOCIAL ENVIRONMENT. | Simons RL et al. | β | 2012 | β |
| Efficient designs of gene-environment interaction studies: implications of Hardy-Weinberg equilibrium and gene-environment independence. | Chen J et al. | β | 2012 | β |
| Environmental change exposes beneficial epistatic interactions in a catalytic RNA. | Hayden EJ et al. | β | 2012 | β |
| Exploiting gene expression variation to capture gene-environment interactions for disease. | Idaghdour Y et al. | β | 2012 | β |
| Gene Γ environment interaction models in psychiatric genetics. | Karg K et al. | β | 2012 | β |
| Gene-environment interactions in asthma and allergic diseases: challenges and perspectives. | Kauffmann F et al. | β | 2012 | β |
| Gene-environment interactions in the development of type 2 diabetes: recent progress and continuing challenges. | Cornelis MC et al. | β | 2012 | β |
| Gene-Lifestyle Interactions in Obesity. | van Vliet-Ostaptchouk JV et al. | β | 2012 | β |
| Genetic biomarkers of hypertension and future challenges integrating epigenomics. | El Shamieh S et al. | β | 2012 | β |
| Genetic prediction of common diseases. Still no help for the clinical diabetologist! | Prudente S et al. | β | 2012 | β |
| Genetics, genomics and other molecular approaches: example of salt-sensitive hypertension. | Brand SM | β | 2012 | β |
| Genetics of nonsyndromic orofacial clefts. | Rahimov F et al. | β | 2012 | β |
| Genetic variability in molecular responses to chemical exposure. | Patel CJ et al. | β | 2012 | β |
| Genome-wide association studies in mice. | Flint J et al. | β | 2012 | β |
| Genome-wide association with C-reactive protein levels in CLHNS: evidence for the CRP and HNF1A loci and their interaction with exposure to a pathogenic environment. | Wu Y et al. | β | 2012 | β |
| Genomics and the respiratory effects of air pollution exposure. | Holloway JW et al. | β | 2012 | β |
| Genotype-Based Bayesian Analysis of Gene-Environment Interactions with Multiple Genetic Markers and Misclassification in Environmental Factors. | Lobach I et al. | β | 2012 | β |
| Impact of DNA polymorphisms in key DNA base excision repair proteins on cancer risk. | Karahalil B et al. | β | 2012 | β |
| Informed conditioning on clinical covariates increases power in case-control association studies. | Zaitlen N et al. | β | 2012 | β |
| Integrative cancer epidemiology--the next generation. | Spitz MR et al. | β | 2012 | β |
| Invited commentary: GE-Whiz! Ratcheting gene-environment studies up to the whole genome and the whole exposome. | Thomas DC et al. | β | 2012 | β |
| Is genetic testing useful to predict type 2 diabetes? | Vassy JL et al. | β | 2012 | β |
| NEW: network-enabled wisdom in biology, medicine, and health care. | Schadt EE et al. | β | 2012 | β |
| Next generation analytic tools for large scale genetic epidemiology studies of complex diseases. | Mechanic LE et al. | β | 2012 | β |
| Patient-controlled encrypted genomic data: an approach to advance clinical genomics. | Trakadis YJ | β | 2012 | β |
| Powerful cocktail methods for detecting genome-wide gene-environment interaction. | Hsu L et al. | β | 2012 | β |
| Recombinant inbred systems can advance research in behavioral ecology. | Gini B et al. | β | 2012 | β |
| Recommendations and proposed guidelines for assessing the cumulative evidence on joint effects of genes and environments on cancer occurrence in humans. | Boffetta P et al. | β | 2012 | β |
| Research and technology in neurocritical care. | Wijman CA et al. | β | 2012 | β |
| Strategies beyond genome-wide association studies for atherosclerosis. | Maouche S et al. | β | 2012 | β |
| Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons. | Mukherjee B et al. | β | 2012 | β |
| The interplay of genes and adolescent development in substance use disorders: leveraging findings from GWAS meta-analyses to test developmental hypotheses about nicotine consumption. | Vrieze SI et al. | β | 2012 | β |
| The serotonin transporter gene polymorphism (5HTTLPR) moderates the effect of adolescent environmental conditions on self-esteem in young adulthood: a structural equation modeling approach. | Jonassaint CR et al. | β | 2012 | β |
| Unraveling the genetic component of systemic sclerosis. | MartΓn JE et al. | β | 2012 | β |
| What should the genome-wide significance threshold be? Empirical replication of borderline genetic associations. | Panagiotou OA et al. | β | 2012 | β |
| Will genomic selection be a practical method for plant breeding? | Nakaya A et al. | β | 2012 | β |
| Adaptive tests for detecting gene-gene and gene-environment interactions. | Pan W et al. | β | 2011 | β |
| A fast algorithm to optimize SNP prioritization for gene-gene and gene-environment interactions. | Deng WQ et al. | β | 2011 | β |
| Behavior of QQ-plots and genomic control in studies of gene-environment interaction. | Voorman A et al. | β | 2011 | β |
| Cardiovascular diseases and genome-wide association studies. | Ndiaye NC et al. | β | 2011 | β |
| Entropy based genetic association tests and gene-gene interaction tests. | de Andrade M et al. | β | 2011 | β |
| Evidence for age as a modifier of genetic associations for lipid levels. | Dumitrescu L et al. | β | 2011 | β |
| Gene-by-environment experiments: a new approach to finding the missing heritability. | van Ijzendoorn MH et al. | β | 2011 | β |
| Gene-environment interplay in common complex diseases: forging an integrative modelβrecommendations from an NIH workshop. | Bookman EB et al. | β | 2011 | β |
| Gene-gene interaction filtering with ensemble of filters. | Yang P et al. | β | 2011 | β |
| Gene set analysis of genome-wide association studies: methodological issues and perspectives. | Wang L et al. | β | 2011 | β |
| Genetic architecture of cancer and other complex diseases: lessons learned and future directions. | Hindorff LA et al. | β | 2011 | β |
| Genetic association studies: hypertension and beyond. | Wang C | β | 2011 | β |
| Genetic epidemiology with a capital E, ten years after. | Khoury MJ et al. | β | 2011 | β |
| Genetic variants of the FADS gene cluster and ELOVL gene family, colostrums LC-PUFA levels, breastfeeding, and child cognition. | Morales E et al. | β | 2011 | β |
| Genome-wide gene-environment study identifies glutamate receptor gene GRIN2A as a Parkinson's disease modifier gene via interaction with coffee. | Hamza TH et al. | β | 2011 | β |
| Genomics in the post-GWAS era. | Juran BD et al. | β | 2011 | β |
| Hierarchical generalized linear models for multiple groups of rare and common variants: jointly estimating group and individual-variant effects. | Yi N et al. | β | 2011 | β |
| Human genetics and genomics a decade after the release of the draft sequence of the human genome. | Naidoo N et al. | β | 2011 | β |
| Hypothesis: epigenetic effects will require a review of the genetics of child development. | KosztolΓ‘nyi G | β | 2011 | β |
| Investigation of maternal effects, maternal-fetal interactions and parent-of-origin effects (imprinting), using mothers and their offspring. | Ainsworth HF et al. | β | 2011 | β |
| Liver fibrogenesis and genetic factors. | Boursier J et al. | β | 2011 | β |
| Studying gene and gene-environment effects of uncommon and common variants on continuous traits: a marker-set approach using gene-trait similarity regression. | Tzeng JY et al. | β | 2011 | β |
| T2DM: Why Epigenetics? | Fradin D et al. | β | 2011 | β |
| The genetics of cancer risk. | Pomerantz MM et al. | β | 2011 | β |
| The quest for genetic risk factors for Crohn's disease in the post-GWAS era. | Fransen K et al. | β | 2011 | β |
| The role of antioxidant gene polymorphisms in modifying the health effects of environmental exposures causing oxidative stress: a public health perspective. | Minelli C et al. | β | 2011 | β |
| Use of genetic markers and gene-diet interactions for interrogating population-level causal influences of diet on health. | Davey Smith G | β | 2011 | β |
| Variants at 6q21 implicate PRDM1 in the etiology of therapy-induced second malignancies after Hodgkin's lymphoma. | Best T et al. | β | 2011 | β |
| A genetic ensemble approach for gene-gene interaction identification. | Yang P et al. | β | 2010 | β |
| A genome-wide association scan on estrogen receptor-negative breast cancer. | Li J et al. | β | 2010 | β |
| A risky business--identifying susceptibility loci for lung cancer. | Gazdar AF et al. | β | 2010 | β |
| Complex system approaches to genetic analysis Bayesian approaches. | Wilson MA et al. | β | 2010 | β |
| Dissecting the genetic architecture of host-pathogen specificity. | Lambrechts L | β | 2010 | β |
| Early identification of cardiovascular risk using genomics and proteomics. | Kullo IJ et al. | β | 2010 | β |
| Efficient genome-wide association testing of gene-environment interaction in case-parent trios. | Gauderman WJ et al. | β | 2010 | β |
| Findings in genome-wide association studies on asthma lack generalisation. | Zhang G et al. | β | 2010 | β |
| [First decade of post-genomic era. Hopes, disappointments, new answers]. | KosztolΓ‘nyi G | β | 2010 | β |
| Genetic control of host resistance to porcine reproductive and respiratory syndrome virus (PRRSV) infection. | Lunney JK et al. | β | 2010 | β |
| Genome-wide association studies and genetic risk assessment of liver diseases. | Krawczyk M et al. | β | 2010 | β |
| [Individualised medicine - potentials and need for action]. | HΓΌsing B | β | 2010 | β |
| Network analysis of single nucleotide polymorphisms in asthma. | Renkonen J et al. | β | 2010 | β |
| Statistical analysis of genetic interactions. | Yi N | β | 2010 | β |
| The environment and schizophrenia. | van Os J et al. | β | 2010 | β |
| The genetics of type 2 diabetes: what have we learned from GWAS? | Billings LK et al. | β | 2010 | β |
| Towards identifying genes underlying ecologically relevant traits in Arabidopsis thaliana. | Bergelson J et al. | β | 2010 | β |