ReviewOncogene2006
Using high-throughput SNP technologies to study cancer.
Review in Oncogene, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 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
41 citing papers in PubMed, 126 citations in OpenAlex.
- Preimplantation genetic testing for polygenic diseases: A novel paradigm in embryo selection.Biochemistry and biophysics reports · 2026Review
- Editorial: Non-coding RNAs in breast cancer, volume II.Frontiers in oncology · 2025Article
- Polymorphisms in theJournal of Cancer · 2025Article
- Influence of H19 polymorphisms on breast cancer: risk assessment and prognostic implications via LincRNA H19/miR-675 and downstream pathways.Frontiers in oncology · 2024Article
- Increased hsa-miR-100-5p Expression Improves Hepatocellular Carcinoma Prognosis in the Asian Population withCancers · 2023Article
- High-Fidelity Identification of Single Nucleotide Polymorphism by Type V CRISPR Systems.ACS sensors · 2023Article
- The gene polymorphisms of eNOS and MTHFR modulates the development of preeclampsia in Han population.Heliyon · 2023Article
- Association between long non-coding RNA HOTAIR polymorphism and lung cancer risk: A systematic review and meta-analysis.Experimental and therapeutic medicine · 2022Article
- Article
- The 40bp indel polymorphism ofMolecular biology research communications · 2019Article
- Article
- Breast Cancer Risk Associated with Genotype Polymorphisms of the Aurora Kinase a Gene (AURKA): a Case-Control Study in a High Altitude Ecuadorian Mestizo Population.Pathology oncology research : POR · 2018Article
- Mutational Analysis of Oncogenic AKT1 Gene Associated with Breast Cancer Risk in the High Altitude Ecuadorian Mestizo Population.BioMed research international · 2018Article
- Single Nucleotide Polymorphism Genotyping in Single-Molecule Electronic Circuits.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2017Article
- Article
- Genetic Association of Hematopoietic Stem Cell Transplantation Outcome beyond Histocompatibility Genes.Frontiers in immunology · 2017Review
- DMET™ (Drug Metabolism Enzymes and Transporters): a pharmacogenomic platform for precision medicine.Oncotarget · 2016Review
- Breast cancer risk associated with gene expression and genotype polymorphisms of the folate-metabolizing MTHFR gene: a case-control study in a high altitude Ecuadorian mestizo population.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015Article
- Predictive and prognostic molecular markers for cholangiocarcinoma in Han Chinese population.International journal of clinical and experimental medicine · 2015Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying genes involved in the development of cancer is crucial to fully understanding cancer biology, for developing novel therapeutics for cancer treatment and for providing methods for cancer prevention and early diagnosis. The use of polymorphic markers, in particular single nucleotide polymorphisms (SNPs), promises to provide a comprehensive tool for analysing the human genome and identifying those genes and genomic regions contributing to the cancer phenotype. This review summarizes the various analytical methodologies in which SNPs are used and presents examples of how each of these methodologies have been used to locate genes and genomic regions of interest for various cancer types. Additionally many of the current SNP-analysing technologies will be reviewed with particular attention paid to the advantages and disadvantages of each and how each technology can be applied to the analysis of the genome for identifying cancer-related genes.
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.