ReviewTrends in genetics : TIG2012
Pathway analysis of genomic data: concepts, methods, and prospects for future development.
Review in Trends in genetics : TIG, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 5 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
141 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Circadian pathway genetic variation and cancer risk: evidence from genome-wide association studies.BMC medicine · 2018Pooled it
- Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults.Journal of Alzheimer's disease : JAD · 2015Pooled it
- Genetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkers.Brain imaging and behavior · 2014Pooled it
- Molecular evidence for the inverse comorbidity between central nervous system disorders and cancers detected by transcriptomic meta-analyses.PLoS genetics · 2014Pooled it
- Pathway-based genetic analysis of preterm birth.Genomics · 2013Pooled it
- Partitioned blood pressure polygenic risk reveals differential genetic effects of tissue-specific enhancers and their interactions on cardiovascular disease.Research square · 2026Article
- SomaModules: A Pathway Enrichment Approach Tailored to SomaScan Data.Journal of proteome research · 2025Article
- Pathway Analysis Interpretation in the Multi-Omic Era.Biotech (Basel (Switzerland)) · 2025Review
- The Role of DGAT1-AluI and CAST-MspI Polymorphisms in Early Growth Traits of Morkaraman Lambs.Veterinary medicine and science · 2025Article
- The Use of AI for Phenotype-Genotype Mapping.Methods in molecular biology (Clifton, N.J.) · 2025Article
- AEGAN-Pathifier: a data augmentation method to improve cancer classification for imbalanced gene expression data.BMC bioinformatics · 2024Article
- Elucidating Cancer Subtypes by Using the Relationship between DNA Methylation and Gene Expression.Genes · 2024Article
- Identification of a Predictive Model for Schizophrenia Based on SNPs in a Chinese Population.Neuropsychiatric disease and treatment · 2024Article
- Descriptor:IEEE data descriptions · 2024Article
- Candidate Gene of NOS3, MMP3, AGT, and AGT1R and Pathway Analyses for Platelet Reactivity and Clinical Outcomes of Repeat Revascularization After First PCI in Chinese Patients.Cardiovascular drugs and therapy · 2023Article
- Rank-based Bayesian variable selection for genome-wide transcriptomic analyses.Statistics in medicine · 2022Article
- Leptin receptor co-expression gene network moderates the effect of early life adversity on eating behavior in children.Communications biology · 2022Article
- Application of Bayesian genomic prediction methods to genome-wide association analyses.Genetics, selection, evolution : GSE · 2022Review
- Statistical Inference for High-Dimensional Pathway Analysis with Multiple Responses.Computational statistics & data analysis · 2022Article
- PHENSIM: Phenotype Simulator.PLoS computational biology · 2021Article
81 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
4 authors.
Funding
Abstract
Genome-wide data sets are increasingly being used to identify biological pathways and networks underlying complex diseases. In particular, analyzing genomic data through sets defined by functional pathways offers the potential of greater power for discovery and natural connections to biological mechanisms. With the burgeoning availability of next-generation sequencing, this is an opportune moment to revisit strategies for pathway-based analysis of genomic data. Here, we synthesize relevant concepts and extant methodologies to guide investigators in study design and execution. We also highlight ongoing challenges and proposed solutions. As relevant analytical strategies mature, pathways and networks will be ideally placed to integrate data from diverse -omics sources to harness the extensive, rich information related to disease and treatment mechanisms.
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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.