ReviewHuman genetics2012
Network medicine: linking disorders.
Review in Human genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis 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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications of network analysis to routinely collected health care data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- Contexts and contradictions: a roadmap for computational drug repurposing with knowledge inference.Briefings in bioinformatics · 2022Review
- Repurposing Thalidomide, its Analogue and Apremilast for Possible Antiviral in Situation of Severe COVID Cytokine Syndrome.Infectious disorders drug targets · 2022Article
- Repurposing Cardio-Metabolic Drugs to Fight Covid19.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2021Article
- Drug repurposing approach to fight COVID-19.Pharmacological reports : PR · 2020Review
- Teaching an Old Molecule New Tricks: Drug Repositioning for Duchenne Muscular Dystrophy.International journal of molecular sciences · 2019Review
- Article
- CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous biomolecular and clinical data.BMC medical informatics and decision making · 2016Article
- In silico methods for drug repurposing and pharmacology.Wiley interdisciplinary reviews. Systems biology and medicine · 2016Review
- Bioinformatics Analysis Reveals Genes Involved in the Pathogenesis of Ameloblastoma and Keratocystic Odontogenic Tumor.International journal of molecular and cellular medicine · 2016Article
- A network perspective on unraveling the role of TRP channels in biology and disease.Pflugers Archiv : European journal of physiology · 2014Review
- Lifecourse health development: past, present and future.Maternal and child health journal · 2014Article
- SemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional association.PloS one · 2014Article
- Drug repositioning for orphan genetic diseases through Conserved Anticoexpressed Gene Clusters (CAGCs).BMC bioinformatics · 2013Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The molecular events underlying many human hereditary disorders remain to be discovered despite the significant advances made in molecular biology and genetics in the past years. Given the complexity of cellular systems and the interplay between different functional modules, it is becoming increasingly evident that profound insights into human disease cannot be derived by analyzing single genetic defects. The generation of different types of disease interaction networks has recently emerged as a unifying approach that holds the promise of shedding some light on common pathological mechanisms by placing the single disorders into a larger context. In this review, I summarize the rationale behind these disease networks and different ways of constructing them. Finally, I highlight some of the first results that have been obtained by systematically analyzing the intertwined relationships between human disorders because they suggest that the current disease classification does not always sufficiently reflect biologically and medically relevant disease relationships.
Indexed as
Identifiers
22825316What 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.