ArticleProceedings of the National Academy of Sciences of the United States of America2008
Discovering interactions among BRCA1 and other candidate genes associated with sporadic breast cancer.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 32 citations in OpenAlex.
- Article
- Article
- Long non-coding RNA p10247, high expressed in breast cancer (lncRNA-BCHE), is correlated with metastasis.Clinical & experimental metastasis · 2018Article
- A fast and powerful W-test for pairwise epistasis testing.Nucleic acids research · 2016Article
- Pathway-based analyses.BMC genetics · 2016Article
- Network-guided interaction mining for the blood pressure phenotype of unrelated individuals in genetic analysis workshop 19.BMC proceedings · 2016Article
- Why significant variables aren't automatically good predictors.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- Assessing SNP-SNP interactions among DNA repair, modification and metabolism related pathway genes in breast cancer susceptibility.PloS one · 2014Article
- A robust model-free approach for rare variants association studies incorporating gene-gene and gene-environmental interactions.PloS one · 2013Article
- Article
- A two-stage association study identifies methyl-CpG-binding domain protein 2 gene polymorphisms as candidates for breast cancer susceptibility.European journal of human genetics : EJHG · 2012Article
- Article
- Rheumatoid arthritis-associated gene-gene interaction network for rheumatoid arthritis candidate genes.BMC proceedings · 2009Article
- Genome-wide gene-based analysis of rheumatoid arthritis-associated interaction with PTPN22 and HLA-DRB1.BMC proceedings · 2009Article
- Efficiently finding genome-wide three-way gene interactions from transcript- and genotype-data.Bioinformatics (Oxford, England) · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Analysis of a subset of case-control sporadic breast cancer data, [from the National Cancer Institute's Cancer Genetic Markers of Susceptibility (CGEMS) initiative], focusing on 18 breast cancer-related genes with 304 SNPs, indicates that there are many interesting interactions that form two- and three-way networks in which BRCA1 plays a dominant and central role. The apparent interactions of BRCA1 with many other genes suggests the conjecture that BRCA1 serves as a protective gene and that some mutations in it or in related genes may prevent it from carrying out this protective function even if the patients are not carriers of known cancer-predisposing BRCA1 mutations. The method of analysis features the evaluation of the effect of a gene by averaging the effects of the SNPs covered by that gene. Marginal methods that test one gene at a time fail to show any effect. That may be related to the fact that each of these 18 genes adds very little to the risk of cancer. Analysis that relates the ratio of interactions to the maximum of the first-order effects discovers significant gene pairs and triplets.
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.