Evidence map›Paper›PMID 30384829›Full record

SynthesisBMC cancer2018

Association between ATM rs1801516 polymorphism and cancer susceptibility: a meta-analysis involving 12,879 cases and 18,054 controls.

Yulu Gu, Jikang Shi, Shuang Qiu, Yichun Qiao, Xin Zhang, Yi Cheng, Yawen Liu

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yulu GuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China.
Jikang ShiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China.
Shuang QiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China.
Yichun QiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China.
Xin ZhangDepartment of Pharmacy, First Hospital of Jilin University, Changchun, 130021, China.
Yi ChengDepartment of Cardiovascular Center, First Hospital of Jilin University, Changchun, 130021, China.
Yawen LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China. ywliu@jlu.edu.cn.ORCID http://orcid.org/0000-0003-2859-4771

Funding

Commission of Health and Family Planning of Jilin Province 2017Q037National Natural Science Foundation of China 81602907National Natural Science Foundation of China 81702606Science and Technology Commission of Jilin Province 20170520007JH
6 · The paper itself

Abstract

backgroundAtaxia telangiectasia mutated (ATM) gene plays a key role in response to DNA lesions and is related to the invasion and metastasis of malignancy. Epidemiological studies have indicated associations between ATM rs1801516 polymorphism and different types of cancer, but their results are inconsistent. To further evaluate the effect of ATM rs1801516 polymorphism on cancer risk, we conducted this meta-analysis.

methodsStudies were identified according to specific inclusion criteria by searching PubMed, Web of Science, and Embase databases. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) under recessive, dominant, codominant, and overdominant models of inheritance were calculated to estimate the association between rs1801516 polymorphism and cancer risk.

resultsA total of 37 studies with 12,879 cases and 18,054 controls were included in our study. No significant association was found between rs1801516 polymorphism and cancer risk in overall comparisons (AA vs GG + GA: OR = 0.91, 95% CI, 0.78-1.07; AA+GA vs GG: OR = 1.00, 95% CI, 0.90-1.11; AA vs GG: OR = 0.89, 95% CI, 0.75-1.06; GA vs GG: OR = 1.01, 95% CI, 0.91-1.13; GG + AA vs GA: OR = 1.00, 95% CI, 0.88-1.10). However, after subgroup analyses by region-specified population, significant associations were found in European (AA vs GG + GA: OR = 0.79, 95% CI, 0.65-0.96, P = 0.017; AA vs GG: OR = 0.79, 95% CI, 0.65-0.96, P = 0.017), South American (AA+GA vs GG: OR = 2.15, 95% CI, 1.37-3.38, P = 0.001; GA vs GG: OR = 2.19, 95% CI, 1.38-3.47, P = 0.001; GG + AA vs GA: OR = 0.46, 95% CI, 0.29-0.72, P = 0.001), and Asian (AA vs GG + GA: OR = 7.45, 95% CI, 1.31-42.46, P = 0.024; AA vs GG: OR = 7.40, 95% CI, 1.30-42.19, P = 0.024). Subgroup analyses also revealed that compared with subjects carrying a GG genotype, those carrying a homozygote AA had a decreased risk for breast cancer (AA vs GG: OR = 0.76, 95% CI, 0.59-0.98, P = 0.035), and the homozygote AA was associated with decreased cancer risk in subjects with family history (AA vs GG: OR = 0.68, 95% CI, 0.47-0.98, P = 0.039).

conclusionsATM rs1801516 polymorphism is not associated with overall cancer risk in total population. However, for subgroup analyses, this polymorphism is especially associated with breast cancer risk; in addition, it is associated with overall cancer risk in Europeans, South Americans, Asians, and those with family history.

Indexed as

AllelesGenetic Association StudiesGenetic Predisposition to DiseasePolymorphism, Single NucleotideAtaxia Telangiectasia Mutated ProteinsCase-Control StudiesGenetic HeterogeneityGenotypeHumansNeoplasmsOdds RatioPopulation SurveillancePublication BiasSequence Analysis, DNAAtaxia Telangiectasia Mutated ProteinsATMCancer susceptibilityMeta-analysisPolymorphismrs1801516

Identifiers

PMID30384829
PMCPMC6211574

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.