ArticleGenetic epidemiology2016
Many Phenotypes Without Many False Discoveries: Error Controlling Strategies for Multitrait Association Studies.
Article in Genetic epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Sex and statin-related genetic associations at the PCSK9 gene locus: results of genome-wide association meta-analysis.Biology of sex differences · 2024Pooled it
- An atlas of genome-wide gene expression and metabolite associations and possible mediation effects towards body mass index.Journal of molecular medicine (Berlin, Germany) · 2023Pooled it
- Fast pairwise coalescence enables gene-resolution scans for recent selection in diverse human populations.bioRxiv : the preprint server for biology · 2026Article
- The geometry of G × E: How scaling and endogenous treatment effects shape interaction direction.PLoS genetics · 2026Article
- Protocol to estimate the heritability of drug response with GxEMM and identify gene-drug interactions with TxEWAS.STAR protocols · 2025Article
- Short-term exposure to filter-bubble recommendation systems has limited polarization effects: Naturalistic experiments on YouTube.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Political diversity in U.S. police agencies.American journal of political science · 2025Article
- Characterizing the genetic architecture of drug response using gene-context interaction methods.Cell genomics · 2024Article
- Control of false discoveries in grouped hypothesis testing for eQTL data.BMC bioinformatics · 2024Article
- networkGWAS: a network-based approach to discover genetic associations.Bioinformatics (Oxford, England) · 2023Article
- Multi-context genetic modeling of transcriptional regulation resolves novel disease loci.Nature communications · 2022Article
- Whole Blood Metabolite Profiles Reflect Changes in Energy Metabolism in Heart Failure.Metabolites · 2022Article
- Article
- Sex-Specific Causal Relations between Steroid Hormones and Obesity-A Mendelian Randomization Study.Metabolites · 2021Article
- Genome-wide mapping of brain phenotypes in extended pedigrees with strong genetic loading for bipolar disorder.Molecular psychiatry · 2021Article
- Association of image-defined risk factors with clinical features, histopathology, and outcomes in neuroblastoma.Cancer medicine · 2021Article
- Clinical and lifestyle related factors influencing whole blood metabolite levels - A comparative analysis of three large cohorts.Molecular metabolism · 2019Article
- Article
- MULTILAYER KNOCKOFF FILTER: CONTROLLED VARIABLE SELECTION AT MULTIPLE RESOLUTIONS.The annals of applied statistics · 2019Article
- Finding New Cell Wall Regulatory Genes inFrontiers in plant science · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The genetic basis of multiple phenotypes such as gene expression, metabolite levels, or imaging features is often investigated by testing a large collection of hypotheses, probing the existence of association between each of the traits and hundreds of thousands of genotyped variants. Appropriate multiplicity adjustment is crucial to guarantee replicability of findings, and the false discovery rate (FDR) is frequently adopted as a measure of global error. In the interest of interpretability, results are often summarized so that reporting focuses on variants discovered to be associated to some phenotypes. We show that applying FDR-controlling procedures on the entire collection of hypotheses fails to control the rate of false discovery of associated variants as well as the expected value of the average proportion of false discovery of phenotypes influenced by such variants. We propose a simple hierarchical testing procedure that allows control of both these error rates and provides a more reliable basis for the identification of variants with functional effects. We demonstrate the utility of this approach through simulation studies comparing various error rates and measures of power for genetic association studies of multiple traits. Finally, we apply the proposed method to identify genetic variants that impact flowering phenotypes in Arabidopsis thaliana, expanding the set of discoveries.
Indexed as
Identifiers
What OpenQuestion holds
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.