ReviewNucleic acids research2017
MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search.
Review in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 373 papers, 4 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
373 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Multiomics Data Synthesis of FAM83H in Amelogenesis Imperfecta.International dental journal · 2026Pooled it
- Monogenic etiologies of persistent human papillomavirus infections: A comprehensive systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2024Pooled it
- X-linked genes influence various complex traits in dairy cattle.BMC genomics · 2023Pooled it
- Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry.Genome medicine · 2023Pooled it
- Integration of network pharmacology, structure-based pharmacophore modeling, DFT, molecular docking, and molecular dynamics simulations to identify multi-target small molecule inhibitors against Alzheimer's disease.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Tissue-specific expression and regulation of congenital disorders of glycosylation genes: A GTEx-based in silico study.Molecular genetics and metabolism reports · 2026Article
- Systems pharmacology, structural modeling, and experimental validation reveal retinoic acid as a modulator of immune-fibrotic networks in chronic kidney disease.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Deciphering the Formulation-Dependent Neurotoxicity of Irinotecan: An Integrated Pharmacovigilance and Mechanistic Study.Journal of biochemical and molecular toxicology · 2026Article
- Efficient differential latent network analysis: applications to colon cancer.BMC medical genomics · 2026Article
- Investigation of the Potential Neuroprotective Mechanisms ofInternational journal of molecular sciences · 2026Article
- Full-length transcriptomic profiling reveals age-associated isoform remodeling and altered coding potential in the mouse ovary.Journal of ovarian research · 2026Article
- Systemic Drug Effects in Vortioxetine-Induced Time-Series Datasets.International journal of molecular sciences · 2026Article
- Investigating the Potential Mechanism of Oxymatrine in Alleviating Heat Stress Injury Based on Network Pharmacology, Molecular Docking, and In Vitro Validation.International journal of molecular sciences · 2026Article
- Network pharmacology and molecular dynamics simulations reveal shared mechanisms and myopia-specific targets of atropine in myopia and dry eye disease.Eye and vision (London, England) · 2026Article
- Recent Dominant Transposition Events Affect Gene Regulatory Regions, but Not Coding Sequences, in Polar and Brown Bear Genomes.Current issues in molecular biology · 2026Article
- Dihydrotanshinone I as a novel signal transducer and activator of transcription 3 inhibitor for glioblastoma treatment.Journal of translational medicine · 2026Article
- Design synthesis and evaluation of a novel 1,3,4-thiadiazole derivative as a potent anticancer and antibacterial agent supported by electronic property analysis and simulation studies.Scientific reports · 2026Article
- Exploration of network-based, machine learning, MD simulations, and MM/GBSA approaches revealed luteolin from Gynura procumbens as key inhibitor of MMP9 in NSCLC.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Novel examples of NMD escape through alternative intronic polyadenylation.NAR genomics and bioinformatics · 2026Article
- AWmeta Empowers Adaptively Weighted Transcriptomic Meta-Analysis.Current issues in molecular biology · 2026Article
313 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The MalaCards human disease database (http://www.malacards.org/) is an integrated compendium of annotated diseases mined from 68 data sources. MalaCards has a web card for each of ∼20 000 disease entries, in six global categories. It portrays a broad array of annotation topics in 15 sections, including Summaries, Symptoms, Anatomical Context, Drugs, Genetic Tests, Variations and Publications. The Aliases and Classifications section reflects an algorithm for disease name integration across often-conflicting sources, providing effective annotation consolidation. A central feature is a balanced Genes section, with scores reflecting the strength of disease-gene associations. This is accompanied by other gene-related disease information such as pathways, mouse phenotypes and GO-terms, stemming from MalaCards' affiliation with the GeneCards Suite of databases. MalaCards' capacity to inter-link information from complementary sources, along with its elaborate search function, relational database infrastructure and convenient data dumps, allows it to tackle its rich disease annotation landscape, and facilitates systems analyses and genome sequence interpretation. MalaCards adopts a 'flat' disease-card approach, but each card is mapped to popular hierarchical ontologies (e.g. International Classification of Diseases, Human Phenotype Ontology and Unified Medical Language System) and also contains information about multi-level relations among diseases, thereby providing an optimal tool for disease representation and scrutiny.
Indexed as
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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.