ArticleBiometrics2014
More powerful genetic association testing via a new statistical framework for integrative genomics.
Article in Biometrics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Multi-omics Integrative Analysis for Incomplete Data Using WeightedJournal of agricultural, biological, and environmental statistics · 2025Article
- Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2024Article
- Genome-wide multimediator analyses using the generalized Berk-Jones statistics with the composite test.Bioinformatics (Oxford, England) · 2023Article
- Pathway Lasso: Pathway Estimation and Selection with High-Dimensional Mediators.Statistics and its interface · 2022Article
- Statistical methods for mediation analysis in the era of high-throughput genomics: Current successes and future challenges.Computational and structural biotechnology journal · 2021Review
- A general framework for integrative analysis of incomplete multiomics data.Genetic epidemiology · 2020Article
- Estimation and inference for the indirect effect in high-dimensional linear mediation models.Biometrika · 2020Article
- A U-statistics for integrative analysis of multilayer omics data.Bioinformatics (Oxford, England) · 2020Article
- Sparse Principal Component based High-Dimensional Mediation Analysis.Computational statistics & data analysis · 2020Article
- Article
- An integrative U method for joint analysis of multi-level omic data.BMC genetics · 2019Article
- Identification of trans-eQTLs using mediation analysis with multiple mediators.BMC bioinformatics · 2019Article
- Indirect effect inference and application to GAW20 data.BMC genetics · 2018Article
- Integrated genomic analysis of biological gene sets with applications in lung cancer prognosis.BMC bioinformatics · 2017Article
- Genotype-based gene signature of glioma risk.Neuro-oncology · 2017Article
- Sparse simultaneous signal detection for identifying genetically controlled disease genes.Journal of the American Statistical Association · 2017Article
- Computational discovery of transcription factors associated with drug response.The pharmacogenomics journal · 2016Article
- Integrative genomic testing of cancer survival using semiparametric linear transformation models.Statistics in medicine · 2016Article
- Nonlinear Joint Latent Variable Models and Integrative Tumor Subtype Discovery.Statistical analysis and data mining · 2016Article
- Systems biology approaches to epidemiological studies of complex diseases.Wiley interdisciplinary reviews. Systems biology and medicineArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Integrative genomics offers a promising approach to more powerful genetic association studies. The hope is that combining outcome and genotype data with other types of genomic information can lead to more powerful SNP detection. We present a new association test based on a statistical model that explicitly assumes that genetic variations affect the outcome through perturbing gene expression levels. It is shown analytically that the proposed approach can have more power to detect SNPs that are associated with the outcome through transcriptional regulation, compared to tests using the outcome and genotype data alone, and simulations show that our method is relatively robust to misspecification. We also provide a strategy for applying our approach to high-dimensional genomic data. We use this strategy to identify a potentially new association between a SNP and a yeast cell's response to the natural product tomatidine, which standard association analysis did not detect.
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Registered trials
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.