SynthesisScientific reports2015
Association of three SNPs in TOX3 and breast cancer risk: Evidence from 97275 cases and 128686 controls.
Synthesis in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Expression- and splicing-based multi-tissue transcriptome-wide association studies identified multiple genes for breast cancer by estrogen-receptor status.Breast cancer research : BCR · 2024Pooled it
- Missense variants in PRKCD: elucidating their potential association with breast cancer.Breast cancer research : BCR · 2025Article
- Asymmetric integration of various cancer datasets for identifying risk-associated variants and genes.Bioinformatics advances · 2025Article
- Inhibitory effects of postbiotic consisting sonication-killedIranian journal of microbiology · 2022Article
- Risk Association ofCurrent oncology (Toronto, Ont.) · 2022Article
- Low-penetrance susceptibility variants and postmenopausal oestrogen receptor positive breast cancer.Journal of genetics · 2020Article
- AnJournal of genetics · 2019Article
- Significant association of TOX3/LOC643714 locus-rs3803662 and breast cancer risk in a cohort of Iranian population.Molecular biology reports · 2019Article
- Breast cancer: The translation of big genomic data to cancer precision medicine.Cancer science · 2018Review
- The breast cancer susceptibility-related polymorphisms at the TOX3/LOC643714 locus associated with lung cancer risk in a Han Chinese population.Oncotarget · 2016Article
- Polymorphisms in TIM-3 and breast cancer susceptibility in Chinese women: A case-control study.Oncotarget · 2016Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The associations of SNPs in TOX3 gene with breast cancer risk were investigated by some Genome-wide association studies and epidemiological studies, but the study results were contradictory. To derive a more precise estimate of the associations, we conducted a meta-analysis. ORs with 95% CI were used to assess the strength of association between TOX3 polymorphisms and breast cancer risk in fixed or random effect model. A total of 37 publications with 97275 cases and 128686 controls were identified. We observed that the rs3803662 C > T, rs12443621 A > G and rs8051542 C > T were all correlated with increased risk of breast cancer. In the stratified analyses by ethnicity, significantly elevated risk was detected for all genetic models of the three SNPs in Caucasians. In Asian populations, there were significant associations of rs3803662 and rs8051542 with breast cancer risk. Whereas there was no evidence for statistical significant association between the three SNPs and breast cancer risk in Africans. Additionally, we observed different associations of rs3803662 with breast cancer risk based on different ER subtype and BRCA1/BRCA2 mutation carriers. In conclusion, the meta-analysis suggested that three SNPs in TOX3 were significantly associated with breast cancer risk in different populations.
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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 Socratic graph.