ArticleStatistics in medicine2015
Generalized estimating equations for genome-wide association studies using longitudinal phenotype data.
Article in Statistics in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 4 syntheses or guidelines pooled it, 50 citations in OpenAlex.
- Genome-wide meta-analysis of variant-by-diuretic interactions as modulators of lipid traits in persons of European and African ancestry.The pharmacogenomics journal · 2020Pooled it
- Genome-wide meta-analysis of SNP-by9-ACEI/ARB and SNP-by-thiazide diuretic and effect on serum potassium in cohorts of European and African ancestry.The pharmacogenomics journal · 2019Pooled it
- Large-scale pharmacogenomic study of sulfonylureas and the QT, JT and QRS intervals: CHARGE Pharmacogenomics Working Group.The pharmacogenomics journal · 2018Pooled it
- 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.Genetic epidemiology · 2016Pooled it
- Evolutionary history of disease-susceptibility loci identified in longitudinal exome-wide association studies.Molecular genetics & genomic medicine · 2019Trial
- Multidimensional GWAS analyses on longitudinal phenotypes reveal candidate genes regulating multi-stage egg production traits in Wannan yellow chicken.Poultry science · 2026Article
- Age-varying DNA methylation patterns associated with blood pressure in mid-to-late adulthood.Clinical epigenetics · 2026Article
- Deep-Neural-Network-Aided Genetic Association Testing in Samples with Related Individuals.Current issues in molecular biology · 2026Article
- Functional Varying-Index Coefficients Model for Dynamic Synergistic Gene-Environment Interactions.Statistics in biosciences · 2026Article
- Age-varying DNA methylation patterns associated with blood pressure across the lifespan.bioRxiv : the preprint server for biology · 2025Article
- Large-Scale Gene-Smoking Interactions and Fine Mapping Study Identifies Multiple Novel Blood Pressure Loci in over 1 Million Individuals.medRxiv : the preprint server for health sciences · 2025Article
- Article
- A novel application of data-consistent inversion to overcome spurious inference in genome-wide association studies.Genetic epidemiology · 2024Article
- RETROSPECTIVE VARYING COEFFICIENT ASSOCIATION ANALYSIS OF LONGITUDINAL BINARY TRAITS: APPLICATION TO THE IDENTIFICATION OF GENETIC LOCI ASSOCIATED WITH HYPERTENSION.The annals of applied statistics · 2024Article
- Multivariate partial linear varying coefficients model for gene-environment interactions with multiple longitudinal traits.Statistics in medicine · 2022Article
- Sparse group variable selection for gene-environment interactions in the longitudinal study.Genetic epidemiology · 2022Article
- Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO!Computational and structural biotechnology journal · 2021Review
- In utero and peripubertal metals exposure in relation to reproductive hormones and sexual maturation and progression among boys in Mexico City.Environmental health : a global access science source · 2020Article
- Retrospective Association Analysis of Longitudinal Binary Traits Identifies Important Loci and Pathways in Cocaine Use.Genetics · 2019Article
- Pathway analysis of rare variants for the clustered phenotypes by using hierarchical structured components analysis.BMC medical genomics · 2019Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
Abstract
Many longitudinal cohort studies have both genome-wide measures of genetic variation and repeated measures of phenotypes and environmental exposures. Genome-wide association study analyses have typically used only cross-sectional data to evaluate quantitative phenotypes and binary traits. Incorporation of repeated measures may increase power to detect associations, but also requires specialized analysis methods. Here, we discuss one such method-generalized estimating equations (GEE)-in the contexts of analysis of main effects of rare genetic variants and analysis of gene-environment interactions. We illustrate the potential for increased power using GEE analyses instead of cross-sectional analyses. We also address challenges that arise, such as the need for small-sample corrections when the minor allele frequency of a genetic variant and/or the prevalence of an environmental exposure is low. To illustrate methods for detection of gene-drug interactions on a genome-wide scale, using repeated measures data, we conduct single-study analyses and meta-analyses across studies in three large cohort studies participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium-the Atherosclerosis Risk in Communities study, the Cardiovascular Health Study, and the Rotterdam Study.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.