ReviewMammalian genome : official journal of the International Mammalian Genome Society2019
Exploring the dark genome: implications for precision medicine.
Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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
29 citing papers in PubMed, 60 citations in OpenAlex.
- Decoding the dark genome reveals its organisation into modular disease networks.Scientific reports · 2026Article
- Application of Large Language Models for Annotating Genes into Reactome Pathways.bioRxiv : the preprint server for biology · 2025Article
- A longitudinal analysis of function annotations of the human proteome reveals consistently high biases.Database : the journal of biological databases and curation · 2025Article
- A Knowledge-Guided Graph Learning Approach Bridging Phenotype- and Target-Based Drug Discovery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Article
- A synthetic method to assay polycystin channel biophysics.bioRxiv : the preprint server for biology · 2024Article
- Article
- Review
- Overview of the Knowledge Management Center for Illuminating the Druggable Genome.Drug discovery today · 2024Review
- FAVA: high-quality functional association networks inferred from scRNA-seq and proteomics data.Bioinformatics (Oxford, England) · 2024Article
- PINNED: identifying characteristics of druggable human proteins using an interpretable neural network.Journal of cheminformatics · 2023Article
- A review of standardized high-throughput cardiovascular phenotyping with a link to metabolism in mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Review
- Overexpression of HSF2 binding protein suppresses endoplasmic reticulum stress via regulating subcellular localization of CDC73 in hepatocytes.Cell & bioscience · 2023Article
- Article
- End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins.PLoS computational biology · 2023Article
- Article
- Article
- DeepREAL: a deep learning powered multi-scale modeling framework for predicting out-of-distribution ligand-induced GPCR activity.Bioinformatics (Oxford, England) · 2022Article
- Mouse mutagenesis and phenotyping to generate models of development and disease.Current topics in developmental biology · 2022Review
- Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology.Research square · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 3 countries.
Funding
Abstract
The increase in the number of both patients and healthcare practitioners who grew up using the Internet and computers (so-called "digital natives") is likely to impact the practice of precision medicine, and requires novel platforms for data integration and mining, as well as contextualized information retrieval. The "Illuminating the Druggable Genome Knowledge Management Center" (IDG KMC) quantifies data availability from a wide range of chemical, biological, and clinical resources, and has developed platforms that can be used to navigate understudied proteins (the "dark genome"), and their potential contribution to specific pathologies. Using the "Target Importance and Novelty Explorer" (TIN-X) highlights the role of LRRC10 (a dark gene) in dilated cardiomyopathy. Combining mouse and human phenotype data leads to increased strength of evidence, which is discussed for four additional dark genes: SLX4IP and its role in glucose metabolism, the role of HSF2BP in coronary artery disease, the involvement of ELFN1 in attention-deficit hyperactivity disorder and the role of VPS13D in mouse neural tube development and its confirmed role in childhood onset movement disorders. The workflow and tools described here are aimed at guiding further experimental research, particularly within the context of precision medicine.
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.