Evidence map›Paper›PMID 22219177›Full record

ArticleCarcinogenesis2012

A genome-wide search for loci interacting with known prostate cancer risk-associated genetic variants.

Sha Tao, Zhong Wang, Junjie Feng, Fang-Chi Hsu, Guangfu Jin, Seong-Tae Kim, Zheng Zhang, Henrik Gronberg, Lilly S Zheng, William B Isaacs and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Carcinogenesis, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

25 citing papers in PubMed, 51 citations in OpenAlex.

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  13. miRNA-Processing Gene Methylation and Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
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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

12 authors at 4 institutions in 3 countries.

Sha TaoCenter for Genetic Epidemiology and Prevention, Van Andel Research Institute, Grand Rapids, MI, USA.
Zhong Wang
Junjie Feng
Fang-Chi Hsu
Guangfu Jin
Seong-Tae Kim
Zheng Zhang
Henrik Gronberg
Lilly S Zheng
William B Isaacs
Jianfeng Xu
Jielin Sun
Cancer Genomics Centre · NLVan Andel Institute · USJohns Hopkins University · USKarolinska Institutet · SE

Funding

Confirmation of SNPs Associated with Aggressive PCa in a GWA StudyR01CA129684 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI XU, JIANFENG · 2008 to 2011
$2.4M
NCI NIH HHS CA129684NCI NIH HHS R01 CA129684
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified ∼30 single-nucleotide polymorphisms (SNPs) consistently associated with prostate cancer (PCa) risk. To test the hypothesis that other sequence variants in the genome may interact with those 32 known PCa risk-associated SNPs identified from GWAS to affect PCa risk, we performed a systematic evaluation among three existing PCa GWAS populations: CAncer of the Prostate in Sweden population, a Johns Hopkins Hospital population, and the Cancer Genetic Markers of Susceptibility population, with a total sample size of 4723 PCa cases and 4792 control subjects. Meta-analysis of the interaction term between each of those 32 SNPs and SNPs in the genome was performed in three PCa GWAS populations. The most significant interaction detected was between rs12418451 in MYEOV and rs784411 in CEP152, with a P(interaction) of 1.15 × 10(-7) in the meta-analysis. In addition, we emphasized two pairs of interactions with potential biological implication, including an interaction between rs7127900 near insulin-like growth factor-2 (IGF2)/IGF2AS and rs12628051 in TNRC6B, with a P(interaction) of 3.39 × 10(-6) and an interaction between rs7679763 near TET2 and rs290258 in SYK, with a P(interaction) of 1.49 × 10(-6). Those results show statistical evidence for novel loci interacting with known risk-associated SNPs to modify PCa risk. The interacting loci identified provide hints on the underlying molecular mechanism of the associations with PCa risk for the known risk-associated SNPs. Additional studies are warranted to further confirm the interaction effects detected in this study.

Indexed as

Genetic LociGenome-Wide Association StudyPolymorphism, Single NucleotideChromosome MappingGenetic Predisposition to DiseaseGenetic VariationHumansMaleProstatic NeoplasmsRisk Factors

Identifiers

PMID22219177
PMCPMC3291863
OpenAlexW2159491934

What OpenQuestion holds

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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.