ReviewTrends in genetics : TIG2018
Replicability and Prediction: Lessons and Challenges from GWAS.
Review in Trends in genetics : TIG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 6 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
102 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Identification of genetically-supported new drug targets for osteomyelitis based on druggable genomes.Human genomics · 2025Pooled it
- Improving reproducibility of differentially expressed genes in single-cell transcriptomic studies of neurodegenerative diseases through meta-analysis.Nature communications · 2025Pooled it
- GWAS Meta-analysis of Kidney Function Traits in Japanese Populations.Journal of epidemiology · 2024Pooled it
- Pooled it
- Pooled it
- Genetic Variation and Hot Flashes: A Systematic Review.The Journal of clinical endocrinology and metabolism · 2020Pooled it
- Hiding in plain sight: uncovering the genetic basis of complex phenotypes through low-risk groups.Genetics · 2026Article
- Article
- Single-cell multi-omic integration analysis prioritizes druggable genes and reveals cell-type-specific causal effects in glioblastomagenesis.Journal of translational medicine · 2026Article
- Vaginal Microbiome Is Associated with Breed and Pregnancy Status in Beef Cattle.Animals : an open access journal from MDPI · 2026Article
- Identifying genetic and cellular connections and distinctions among 15 autoimmune diseases using an in-silico approach.Communications medicine · 2026Article
- Genetic impacts on within-pair DNA methylation variance in monozygotic twins capture gene-environment interactions and cell-type effects.Genome biology · 2026Article
- Identifying direct risk factors in UK Biobank via simultaneous Bayesian-frequentist model-averaged hypothesis testing using Doublethink.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Predicting VNN resistance in European sea bass using machine learning on high dimensional low sample size data.Frontiers in bioinformatics · 2026Article
- SAGA (Simplified Association Genome-wide Analyses): a user-friendly Pipeline to Democratize Genome-Wide Association Studies.bioRxiv : the preprint server for biology · 2025Article
- Trans-regulatory loci shape natural variation of gene expression plasticity in Arabidopsis.Genetics · 2025Article
- Realizing the promise of genome-wide association studies for effector gene prediction.Nature genetics · 2025Review
- Genome-wide association study analysis of single nucleotide variants inParasitology · 2025Article
- A Reproducibility Focused Meta-Analysis Method for Single-Cell Transcriptomic Case-Control Studies Uncovers Robust Differentially Expressed Genes.bioRxiv : the preprint server for biology · 2025Article
- Review
42 more citing papers are in PubMed but not listed here.
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
Since the publication of the Wellcome Trust Case Control Consortium (WTCCC) landmark study a decade ago, genome-wide association studies (GWAS) have led to the discovery of thousands of risk variants involved in disease etiology. This success story has two angles that are often overlooked. First, GWAS findings are highly replicable. This is an unprecedented phenomenon in complex trait genetics, and indeed in many areas of science, which in past decades have been plagued by false positives. At a time of increasing concerns about the lack of reproducibility, we examine the biological and methodological reasons that account for the replicability of GWAS and identify the challenges ahead. In contrast to the exemplary success of disease gene discovery, at present GWAS findings are not useful for predicting phenotypes. We close with an overview of the prospects for individualized prediction of disease risk and its foreseeable impact in clinical practice.
Indexed as
Identifiers
What Socratic 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 Socratic graph.