scholarly journals A novel TP53 variant (rs78378222 A > C) in the polyadenylation signal is associated with increased cancer susceptibility: evidence from a meta-analysis

Oncotarget ◽  
2016 ◽  
Vol 7 (22) ◽  
pp. 32854-32865 ◽  
Author(s):  
Ying Wang ◽  
Xue-Song Wu ◽  
Jing He ◽  
Tianjiao Ma ◽  
Wei Lei ◽  
...  
Keyword(s):  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Polyadenylation Signal

scholarly journals Effects of common polymorphisms in miR-146a and miR-196a2 on lung cancer susceptibility: a meta-analysis

2016 ◽  
Vol 8 (6) ◽  
pp. 1297-1305 ◽  
Author(s):  
Yan-Gang Ren ◽  
Xiao-Ming Zhou ◽  
Zhi-Gang Cui ◽  
Gang Hou
Keyword(s):  
Lung Cancer ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Lung Cancer Susceptibility

scholarly journals Effects of Common Polymorphisms rs11614913 in miR-196a2 and rs2910164 in miR-146a on Cancer Susceptibility: A Meta-Analysis

PLoS ONE ◽  
2011 ◽  
Vol 6 (5) ◽  
pp. e20471 ◽  
Author(s):  
Wei Xu ◽  
Jijun Xu ◽  
Shifeng Liu ◽  
Bo Chen ◽  
Xueli Wang ◽  
...  
Keyword(s):  
Cancer Susceptibility ◽  
Meta Analysis

Relationship Between CASP9 and CASP10 Gene Polymorphisms and Cancer Susceptibility: Evidence from an Updated Meta-analysis

2021 ◽  
Author(s):  
Saman Sargazi ◽  
Armin Zahedi Abghari ◽  
Hosna Sarani ◽  
Roghayeh Sheervalilou ◽  
Shekoufeh Mirinejad ◽  
...  
Keyword(s):  
Gene Polymorphisms ◽  
Cancer Susceptibility ◽  
Meta Analysis

scholarly journals An updated association between TNF-α -238G/A polymorphism and gastric cancer susceptibility in East Asians

2018 ◽  
Vol 38 (6) ◽  
Author(s):  
Hongpeng Zhao ◽  
Lixia Liu ◽  
Bo Liu ◽  
Yanmin Wang ◽  
Feng Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Subgroup Analysis ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Gastric Diseases ◽  
Increased Risk ◽  
Tnf Α ◽  
Comprehensive Search ◽  
Different Populations ◽  
Factor Α

Polymorphisms in the tumor necrosis factor α (TNF-α) gene are emerging as key determinants of gastric diseases. The TNF-α-238G/A single-nucleotide polymorphism (SNP) is the most extensively studied. However, this association is inconsistent amongst different populations. We therefore conducted an updated meta-analysis to obtain a more precise estimate of the association of TNF-α-238G/A polymorphism with gastric cancer (GC) risk. A comprehensive search of PubMed, Embase, Chinese (CNKI and WanFang) databases was performed to identify relevant studies through 5 May 2018. Odds ratio (OR) and 95% confidence interval (CI) were used to assess the strength of the association. Fourteen studies were included in our meta-analysis involving 2999 cases and 4685 controls. There was no significant association between TNF-α-238G/A polymorphism and GC risk in the overall populations. In the subgroup analysis, we found that TNF-α-238G/A polymorphism was associated with the increased risk of GC amongst Asians, especially in Chinese, but not in Caucasians. Subgroup analysis by genotyping methods revealed increased risk for other methods. In conclusion, our present meta-analysis shows that TNF-α-238G/A polymorphism is associated with the risk of GC in East Asian individuals.

scholarly journals Relevance of hMLH1 -93G>A, 655A>G and 1151T>A polymorphisms with colorectal cancer susceptibility: a meta-analysis based on 38 case-control studies

2018 ◽  
Vol 64 (10) ◽  
pp. 942-951 ◽  
Author(s):  
Mohammad Zare ◽  
Jamal Jafari-Nedooshan ◽  
Mohammadali Jafari ◽  
Hossein Neamatzadeh ◽  
Seyed Mojtaba Abolbaghaei ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Asian Population ◽  
Case Control ◽  
Biomedical Literature ◽  
Case Control Studies ◽  
Increased Risk ◽  
Comprehensive Search ◽  
Meta Analyses

SUMMARY OBJECTIVE: There has been increasing interest in the study of the association between human mutL homolog 1 (hMLH1) gene polymorphisms and risk of colorectal cancer (CRC). However, results from previous studies are inconclusive. Thus, a meta-analysis was conducted to derive a more precise estimation of the effects of this gene. METHODS: A comprehensive search was conducted in the PubMed, EMBASE, Chinese Biomedical Literature databases until January 1, 2018. Odds ratio (OR) with 95% confidence interval (CI) was used to assess the strength of the association. RESULTS: Finally, 38 case-control studies in 32 publications were identified met our inclusion criteria. There were 14 studies with 20668 cases and 19533 controls on hMLH1 −93G>A, 11 studies with 5,786 cases and 8,867 controls on 655A>G and 5 studies with 1409 cases and 1637 controls on 1151T>A polymorphism. The combined results showed that 655A>G and 1151T>A polymorphisms were significantly associated with CRC risk, whereas −93G>A polymorphism was not significantly associated with CRC risk. As for ethnicity, −93G>A and 655A>G polymorphisms were associated with increased risk of CRC among Asians, but not among Caucasians. More interestingly, subgroup analysis indicated that 655A>G might raise CRC risk in PCR-RFLP and HB subgroups. CONCLUSION: Inconsistent with previous meta-analyses, this meta-analysis shows that the hMLH1 655A>G and 1151T>A polymorphisms might be risk factors for CRC. Moreover, the −93G>A polymorphism is associated with the susceptibility of CRC in Asian population.

Structural Aberrations with Secondary Implications (SASIs): consensus recommendations for reporting of cancer susceptibility genes identified during analysis of Copy Number Variants (CNVs)

2019 ◽  
Vol 56 (11) ◽  
pp. 718-726 ◽  
Author(s):  
Sabrina Talukdar ◽  
Lara Hawkes ◽  
Helen Hanson ◽  
Anjana Kulkarni ◽  
Angela F Brady ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Cancer Genetics ◽  
Meta Analysis ◽  
Susceptibility Gene ◽  
Genomic Medicine ◽  
British Society ◽  
Chromosomal Microarray ◽  
Cancer Susceptibility Genes ◽  
Structural Aberrations

Clinical testing with chromosomal microarray (CMA) is most commonly undertaken for clinical indications such as intellectual disability, dysmorphic features and/or congenital abnormalities. Identification of a structural aberration (SA) involving a cancer susceptibility gene (CSG) constitutes a type of incidental or secondary finding. Laboratory reporting, risk communication and clinical management of these structural aberrations with secondary implications (SASIs) is currently inconsistent. We undertake meta-analysis of 18 622 instances of CMA performed for unrelated indications in which 106 SASIs are identified involving in total 40 different CSGs. Here we present the recommendations of a joint UK working group representing the British Society of Genomic Medicine, UK Cancer Genetics Group and UK Association for Clinical Genomic Science. SASIs are categorised into four groups, defined by the type of SA and the cancer risk. For each group, recommendations are provided regarding reflex parental testing and cancer risk management.

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