ArticleStatistics in medicine2019
A powerful and data-adaptive test for rare-variant-based gene-environment interaction analysis.
Article in Statistics in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- High-Dimensional Gene-Environment Interaction Analysis.Annual review of statistics and its application · 2025Article
- Identification of Pancreatic Cancer Germline Risk Variants With Effects That Are Modified by Smoking.JCO precision oncology · 2024Article
- A tree-based gene-environment interaction analysis with rare features.Statistical analysis and data mining · 2022Article
- FMNL2 regulates gliovascular interactions and is associated with vascular risk factors and cerebrovascular pathology in Alzheimer's disease.Acta neuropathologica · 2022Article
- Speeding up Monte Carlo simulations for the adaptive sum of powered score test with importance sampling.Biometrics · 2022Article
- VCSEL: PRIORITIZING SNP-SET BY PENALIZED VARIANCE COMPONENT SELECTION.The annals of applied statistics · 2021Article
- Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function.Scientific reports · 2021Article
- Estimation of total mediation effect for high-dimensional omics mediators.BMC bioinformatics · 2021Article
- Incorporating multiple sets of eQTL weights into gene-by-environment interaction analysis identifies novel susceptibility loci for pancreatic cancer.Genetic epidemiology · 2020Article
- Genome-Wide Gene-Diabetes and Gene-Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Article
- An adaptive test for meta-analysis of rare variant association studies.Genetic epidemiology · 2020Article
- A genome-wide search for gene-by-obesity interaction loci of dyslipidemia in Koreans shows diverse genetic risk alleles.Journal of lipid research · 2019Article
- FunSPU: A versatile and adaptive multiple functional annotation-based association test of whole-genome sequencing data.PLoS genetics · 2019Article
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5 authors.
Funding
Abstract
As whole-exome/genome sequencing data become increasingly available in genetic epidemiology research consortia, there is emerging interest in testing the interactions between rare genetic variants and environmental exposures that modify the risk of complex diseases. However, testing rare-variant-based gene-by-environment interactions (GxE) is more challenging than testing the genetic main effects due to the difficulty in correctly estimating the latter under the null hypothesis of no GxE effects and the presence of neutral variants. In response, we have developed a family of powerful and data-adaptive GxE tests, called "aGE" tests, in the framework of the adaptive powered score test, originally proposed for testing the genetic main effects. Using extensive simulations, we show that aGE tests can control the type I error rate in the presence of a large number of neutral variants or a nonlinear environmental main effect, and the power is more resilient to the inclusion of neutral variants than that of existing methods. We demonstrate the performance of the proposed aGE tests using Pancreatic Cancer Case-Control Consortium Exome Chip data. An R package "aGE" is available at http://github.com/ytzhong/projects/.
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