ReviewPLoS genetics2023
Review and further developments in statistical corrections for Winner's Curse in genetic association studies.
Review in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Genetic landscape of adult executive function reveals a cell-type-specific developmental origin.Nature communications · 2026Pooled it
- Gene-level analysis reveals the genetic aetiology and therapeutic targets of schizophrenia.Nature human behaviour · 2025Pooled it
- Genome-wide association studies for pelvic organ prolapse in the Japanese population.Communications biology · 2024Pooled it
- Chromosome 10q24.32 Variants Associate With Brain Arterial Diameters in Diverse Populations: A Genome-Wide Association Study.Journal of the American Heart Association · 2023Pooled it
- Article
- Molecular Mechanisms Associated with Metabolic Dysfunction: Contributions of Nutritional Genomics.Metabolites · 2026Review
- Integrating genetic data with biological insight: A practical guide to cis-Mendelian randomization.American journal of human genetics · 2026Review
- Simulated sample splitting approach to address biases due to instrument selection and participant overlap in two-sample Mendelian Randomization studies.PLoS genetics · 2026Article
- Genetic determinants of fatigue up to 2 years after radiotherapy in prostate cancer patients.Nature communications · 2026Article
- Large-scale exome analyses reveal new rare variant contributions in amyotrophic lateral sclerosis.Nature genetics · 2026Article
- Genomic interplay between deployment exposures and Gulf War illness in Million Veteran Program participants.Human genomics · 2026Article
- Trans-ancestry genome-wide analyses of bipolar disorder in East Asian and European populations improve genetic discovery.Nature neuroscience · 2026Article
- Exploring a genetic basis for the metabolic perturbations in ME/CFS using UK biobank.iScience · 2026Article
- Genome-wide association study of event-free survival in follicular lymphoma patients treated with front-line immunochemotherapy.Blood cancer journal · 2026Article
- Personality Genomics.Annual review of psychology · 2026Review
- Genomic and integrative based progression biomarker discovery in adult sepsis: toward clinical stratification and precision medicine.Annals of intensive care · 2026Review
- Population-scale gene-based analysis of whole-genome sequencing provides insights into metabolic health.Nature genetics · 2025Article
- Associations between circulating metabolites and pca: a bidirectional two-sample Mendelian randomization study.Discover oncology · 2025Article
- Improvement of polygenic modeling of blood pressure traits using lifestyle information in the UK Biobank.Genetics · 2025Article
- Robust inference and widespread genetic correlates from a large-scale genetic association study of human personality.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Genome-wide association studies (GWAS) are commonly used to identify genomic variants that are associated with complex traits, and estimate the magnitude of this association for each variant. However, it has been widely observed that the association estimates of variants tend to be lower in a replication study than in the study that discovered those associations. A phenomenon known as Winner's Curse is responsible for this upward bias present in association estimates of significant variants in the discovery study. We review existing Winner's Curse correction methods which require only GWAS summary statistics in order to make adjustments. In addition, we propose modifications to improve existing methods and propose a novel approach which uses the parametric bootstrap. We evaluate and compare methods, first using a wide variety of simulated data sets and then, using real data sets for three different traits. The metric, estimated mean squared error (MSE) over significant SNPs, was primarily used for method assessment. Our results indicate that widely used conditional likelihood based methods tend to perform poorly. The other considered methods behave much more similarly, with our proposed bootstrap method demonstrating very competitive performance. To complement this review, we have developed an R package, 'winnerscurse' which can be used to implement these various Winner's Curse adjustment methods to GWAS summary statistics.
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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.