ReviewHuman genetics2009
Analytical methods for inferring functional effects of single base pair substitutions in human cancers.
Review in Human genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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
12 citing papers in PubMed.
- Article
- Role of genomic instability in human carcinogenesis.Experimental biology and medicine (Maywood, N.J.) · 2019Review
- Syntool: A Novel Region-Based Intolerance Score to Single Nucleotide Substitution for Synonymous Mutations Predictions Based on 123,136 Individuals.BioMed research international · 2017Article
- FAS rs2234767 and rs1800682 polymorphisms jointly contributed to risk of colorectal cancer by affecting SP1/STAT1 complex recruitment to chromatin.Scientific reports · 2016Article
- Dipeptide analysis of p53 mutations and evolution of p53 family proteins.Biochimica et biophysica acta · 2014Article
- Integrative annotation of variants from 1092 humans: application to cancer genomics.Science (New York, N.Y.) · 2013Article
- Genic intolerance to functional variation and the interpretation of personal genomes.PLoS genetics · 2013Article
- Predicting the functional impact of protein mutations: application to cancer genomics.Nucleic acids research · 2011Article
- Germline fitness-based scoring of cancer mutations.Genetics · 2011Article
- Predicting disease-associated substitution of a single amino acid by analyzing residue interactions.BMC bioinformatics · 2011Article
- Genomic instability--an evolving hallmark of cancer.Nature reviews. Molecular cell biology · 2010Review
- Loss of post-translational modification sites in disease.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2010Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer is a genetic disease that results from a variety of genomic alterations. Identification of some of these causal genetic events has enabled the development of targeted therapeutics and spurred efforts to discover the key genes that drive cancer formation. Rapidly improving sequencing and genotyping technology continues to generate increasingly large datasets that require analytical methods to identify functional alterations that deserve additional investigation. This review examines statistical and computational approaches for the identification of functional changes among sets of single-nucleotide substitutions. Frequency-based methods identify the most highly mutated genes in large-scale cancer sequencing efforts while bioinformatics approaches are effective for independent evaluation of both non-synonymous mutations and polymorphisms. We also review current knowledge and tools that can be utilized for analysis of alterations in non-protein-coding genomic sequence.
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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.