Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP × environment regression coefficients. - Wikidata - awgldk - TriplyDB

Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP × environment regression coefficients.

Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP × environment regression coefficients.

http://www.wikidata.org/entity/Q35852977

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Genome-wide gene-environment study identifies glutamate receptor gene GRIN2A as a Parkinson's disease modifier gene via interaction with coffee Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report Evidence for gene-environment interaction in a genome wide study of nonsyndromic cleft palate Is the Mouse a Good Model of Human PPARγ-Related Metabolic Diseases?Genetics of Insulin Resistance and the Metabolic Syndrome Insights into the genetic basis of type 2 diabetes The complex interplay of genetic and lifestyle risk factors in type 2 diabetes: an overview DNA variants in CACNA1C modify Parkinson disease risk only when vitamin D level is deficient.Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function Quality control and conduct of genome-wide association meta-analyses A genome-wide search for loci interacting with known prostate cancer risk-associated genetic variants Putting the Genome in Context: Gene-Environment Interactions in Type 2 Diabetes.Integrative pathway genomics of lung function and airflow obstruction.Methods for meta-analysis of genetic data.An empirical comparison of meta-analysis and mega-analysis of individual participant data for identifying gene-environment interactions.Comparison of 2 models for gene-environment interactions: an example of simulated gene-medication interactions on systolic blood pressure in family-based data.Variants in Pharmacokinetic Transporters and Glycemic Response to Metformin: A Metgen Meta-Analysis.The role of environmental heterogeneity in meta-analysis of gene-environment interactions with quantitative traits 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 Incorporating gene-environment interaction in testing for association with rare genetic variants Melanocortin-1 receptor, skin cancer and phenotypic characteristics (M-SKIP) project: study design and methods for pooling results of genetic epidemiological studies Best-fitting prediction equations for basal metabolic rate: informing obesity interventions in diverse populations.Genome-wide meta-analysis of joint tests for genetic and gene-environment interaction effects Gene-environment interactions and obesity: recent developments and future directions.Molecular basis of obesity: current status and future prospects Modulation of genetic associations with serum urate levels by body-mass-index in humans Association of the TP53 codon 72 polymorphism and breast cancer risk: a meta-analysis Invited commentary: GE-Whiz! Ratcheting gene-environment studies up to the whole genome and the whole exposome Genetic modifiers of response to glucose-insulin-potassium (GIK) infusion in acute coronary syndromes and associations with clinical outcomes in the IMMEDIATE trial.A mixed-model approach for genome-wide association studies of correlated traits in structured populations Robustness of meta-analyses in finding gene × environment interactions Interplay between Superoxide Dismutase, Glutathione Peroxidase, and Peroxisome Proliferator Activated Receptor Gamma Polymorphisms on the Risk of End-Stage Renal Disease among Han Chinese Patients Exploring genome-wide - dietary heme iron intake interactions and the risk of type 2 diabetes.A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance Meta-analysis of gene-environment-wide association scans accounting for education level identifies additional loci for refractive error.Gene-environment and gene-treatment interactions in type 2 diabetes: progress, pitfalls, and prospects Challenges and opportunities in genome-wide environmental interaction (GWEI) studies An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group.Meta-analysis identifies gene-by-environment interactions as demonstrated in a study of 4,965 mice.A perspective on interaction effects in genetic association studies.

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Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP × environment regression coefficients.

http://www.wikidata.org/entity/Q35852977

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Meta-analysis of gene-environm ...... nment regression coefficients.

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Genetic Epidemiology

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Alisa K Manning

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Ching-Ti Liu

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Jose C Florez

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Kenneth Rice

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L Adrienne Cupples

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Laura Rasmussen-Torvik

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Ping An

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P2860

Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution

The common PPARgamma Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes

Genome-wide association studies for complex traits: consensus, uncertainty and challenges

Variants in MTNR1B influence fasting glucose levels.

Quantifying heterogeneity in a meta-analysis

TXNIP gene not associated with familial combined hyperlipidemia in the NHLBI Family Heart Study

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

Meta-analysis of genome-wide association studies: no efficiency gain in using individual participant data

Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts

GenABEL: an R library for genome-wide association analysis

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11-18

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scholarly article

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10.1002/GEPI.20546

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1

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35

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Michael LaValley

Iva Miljkovic-Gacic

Tamara B Harris

Michael A Province

Ingrid B Borecki

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2011-01-01T00:00:00Z

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49705760

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21181894

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3312394

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