ArticleNature genetics2025
Prioritizing effector genes at trait-associated loci using multimodal evidence.
Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers, 2 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
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The genetic architecture of brainstem structures.Nature communications · 2025Pooled it
- Genome-wide association meta-analysis of childhood ADHD symptoms and diagnosis identifies new loci and potential effector genes.Nature genetics · 2025Pooled it
- Genetics of major depressive disorder in a homogeneous population with uniform phenotyping.Molecular psychiatry · 2026Article
- Identifying independent causal cell types for human diseases and risk variants.Cell genomics · 2026Article
- The genetic architecture of fibromyalgia across 2.5 million individuals.Nature medicine · 2026Article
- Kernelized approach enables explainable gene prioritizations for complex traits.bioRxiv : the preprint server for biology · 2026Article
- Mapping the genetic architecture of human cortical expansion and its links to neuropsychiatric disorders.bioRxiv : the preprint server for biology · 2026Article
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- Association analysis and in silico functional predictions of RMDN2 variants in chickens.Animal bioscience · 2026Article
- Polygenic Contribution to Sensorineural Hearing Loss Implicates Novel Risk Loci and Convergence with Congenital Hearing Loss Genes.Journal of the Association for Research in Otolaryngology : JARO · 2026Article
- Leveraging AI and integrated genomic-enviromic prediction for intelligent sugarcane breeding.Plant communications · 2026Review
- Functionally informed cis and trans proteome-wide association studies prioritize disease-critical genes.Research square · 2026Article
- Functionally informed cis and trans proteome-wide association studies prioritize disease-critical genes.medRxiv : the preprint server for health sciences · 2026Article
- Genomics of drug target prioritization for complex diseases.Nature reviews. Genetics · 2026Review
- Simplifying causal gene identification in GWAS loci.PLoS genetics · 2026Article
- The genetic landscape of human functional brain connectivity.Nature communications · 2026Article
- Cross-trait genomic modeling reveals the polygenic architecture and systemic impact of MASLD.Science advances · 2026Article
- Genomic insights into substance use and disinhibitory disorders.medRxiv : the preprint server for health sciences · 2026Article
- Leveraging the shared and opposing genetic mechanisms in the heritable cardiomyopathies.Research square · 2026Article
- Protein-protein interactions shape trans-regulatory impact of genetic variation on protein expression and complex traits.Nature genetics · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
Abstract
Genome-wide association studies (GWAS) yield large numbers of genetic loci associated with traits and diseases. Predicting the effector genes that mediate these locus-trait associations remains challenging. Here we present the FLAMES (fine-mapped locus assessment model of effector genes) framework, which predicts the most likely effector gene in a locus. FLAMES creates machine learning predictions from biological data linking single-nucleotide polymorphisms to genes, and then evaluates these scores together with gene-centric evidence of convergence of the GWAS signal in functional networks. We benchmark FLAMES on gene-locus pairs derived by expert curation, rare variant implication and domain knowledge of molecular traits. We demonstrate that combining single-nucleotide-polymorphism-based and convergence-based modalities outperforms prioritization strategies using a single line of evidence. Applying FLAMES, we resolve the FSHB locus in the GWAS for dizygotic twinning and further leverage this framework to find schizophrenia risk genes that converge with rare coding evidence and are relevant in different stages of life.
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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.