ArticleCurrent genetic medicine reports2013
Pathway analyses and understanding disease associations.
Article in Current genetic medicine reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- CANDI: a web server for predicting molecular targets and pathways of cannabis-based therapeutics.Journal of cannabis research · 2025Article
- Genome-wide association study of chlamydia reinfection in African American women.Frontiers in immunology · 2025Article
- CANDI: A Web Server for Predicting Molecular Targets and Pathways of Cannabis-Based Therapeutics.Research square · 2024Article
- Predicting therapeutic drugs for hepatocellular carcinoma based on tissue-specific pathways.PLoS computational biology · 2021Article
- mitch: multi-contrast pathway enrichment for multi-omics and single-cell profiling data.BMC genomics · 2020Article
- De novo variants in exomes of congenital heart disease patients identify risk genes and pathways.Genome medicine · 2020Article
- Current Applications of Metabolomics in Cirrhosis.Metabolites · 2018Review
- Pathway-based association analysis of two genome-wide screening data identifies rheumatoid arthritis-related pathways.Genes and immunity · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
High throughput technologies have been applied to investigate the underlying mechanisms of complex diseases, identify disease-associations and help to improve treatment. However it is challenging to derive biological insight from conventional single gene based analysis of "omics" data from high throughput experiments due to sample and patient heterogeneity. To address these challenges, many novel pathway and network based approaches were developed to integrate various "omics" data, such as gene expression, copy number alteration, Genome Wide Association Studies, and interaction data. This review will cover recent methodological developments in pathway analysis for the detection of dysregulated interactions and disease-associated subnetworks, prioritization of candidate disease genes, and disease classifications. For each application, we will also discuss the associated challenges and potential future directions.
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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.