ArticleBiostatistics (Oxford, England)2021
The functional false discovery rate with applications to genomics.
Article in Biostatistics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Polygenic Risk and Nutrient Intake Interactions on Obesity Outcomes: A Systematic Review and Meta-Analysis of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Pooled it
- Finding Significant Hits in Networks: a network-based tool for analyzing gene-level P-values to identify significant genes missed by standard methods.Briefings in bioinformatics · 2026Article
- Evaluation of Potential Therapeutic Targets for Bacterial Infectious Skin Diseases: A Proteome-Wide Mendelian Randomization Study.Clinical, cosmetic and investigational dermatology · 2026Article
- The impact of Iso-mukaadial acetate on Plasmodium falciparum transcriptional gene regulation.Scientific reports · 2025Article
- Exploiting pleiotropy to enhance variant discovery with functional false discovery rates.Nature computational science · 2025Article
- An approach to uncover significant direct and mediated relationships in multi-dimensional new approach methods (NAMs) data: A case study of hazard evaluation of petroleum UVCBs.The Science of the total environment · 2025Article
- Unraveling the genetic basis of maize ear diameter in a multi-parent RIL population derived from tropical and temperate germplasms.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Deciphering the Regulatory Potential of Antioxidant and Electron-Shuttling Bioactive Compounds in Oolong Tea.Biology · 2025Article
- Plasma levels of amino acids and osteoporosis: a cross-sectional study.Scientific reports · 2025Article
- The Significant Effects of Threshold Selection for Advancing Nitrogen Use Efficiency in Whole Genome of Bread Wheat.Plant direct · 2025Article
- Association of plasma carnitine levels with bone mineral density and recent osteoporotic fracture.Frontiers in nutrition · 2025Article
- Article
- High Frequencies of Genetic Variants in Patients with Atypical Femoral Fractures.International journal of molecular sciences · 2024Article
- Association between amino acids and recent osteoporotic fracture: a matched incident case-control study.Frontiers in nutrition · 2024Article
- Genetic dissection of root architectural plasticity and identification of candidate loci in response to drought stress in bread wheat.BMC genomic data · 2023Article
- A beginner's guide into curated analyses of open access datasets for biomarker discovery in neurodegeneration.Scientific data · 2023Article
- Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients.Cell reports. Medicine · 2023Article
- Identification of potential molecular mechanisms and candidate drugs for radiotherapy- and chemotherapy-induced mucositis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023Article
- Genetic causality and site-specific relationship between sarcopenia and osteoarthritis: a bidirectional Mendelian randomization study.Frontiers in genetics · 2023Article
- RNN and BiLSTM Fusion for Accurate Automatic Epileptic Seizure Diagnosis Using EEG Signals.Life (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The false discovery rate (FDR) measures the proportion of false discoveries among a set of hypothesis tests called significant. This quantity is typically estimated based on p-values or test statistics. In some scenarios, there is additional information available that may be used to more accurately estimate the FDR. We develop a new framework for formulating and estimating FDRs and q-values when an additional piece of information, which we call an "informative variable", is available. For a given test, the informative variable provides information about the prior probability a null hypothesis is true or the power of that particular test. The FDR is then treated as a function of this informative variable. We consider two applications in genomics. Our first application is a genetics of gene expression (eQTL) experiment in yeast where every genetic marker and gene expression trait pair are tested for associations. The informative variable in this case is the distance between each genetic marker and gene. Our second application is to detect differentially expressed genes in an RNA-seq study carried out in mice. The informative variable in this study is the per-gene read depth. The framework we develop is quite general, and it should be useful in a broad range of scientific applications.
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