Evidence map›Paper›PMID 27686058›Full record

ArticleScientific reports2016

Potential role of gene-environment interactions in ion transport mechanisms in the etiology of renal cell cancer.

Ivette A G Deckers, Piet A van den Brandt, Manon van Engeland, Frederik J van Schooten, Roger W L Godschalk, András P Keszei, Janneke G F Hogervorst, Leo J Schouten

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 2 institutions in 3 countries.

Ivette A G DeckersDepartments of Epidemiology School for Oncology and Developmental Biology (GROW), Maastricht University Medical Centre (MUMC), Maastricht, The Netherlands.
Piet A van den BrandtDepartments of Epidemiology School for Oncology and Developmental Biology (GROW), Maastricht University Medical Centre (MUMC), Maastricht, The Netherlands.
Manon van EngelandDepartments of Pathology, School for Oncology and Developmental Biology (GROW), Maastricht University Medical Centre (MUMC), Maastricht, The Netherlands.
Frederik J van SchootenDepartment of Toxicology, School for Nutrition, Toxicology and Metabolism (NUTRIM), MUMC, Maastricht, The Netherlands.
Roger W L GodschalkDepartment of Toxicology, School for Nutrition, Toxicology and Metabolism (NUTRIM), MUMC, Maastricht, The Netherlands.
András P KeszeiDepartment of Medical Informatics, Universitätsklinikum Aachen, Germany.
Janneke G F HogervorstDepartments of Epidemiology School for Oncology and Developmental Biology (GROW), Maastricht University Medical Centre (MUMC), Maastricht, The Netherlands.
Leo J SchoutenDepartments of Epidemiology School for Oncology and Developmental Biology (GROW), Maastricht University Medical Centre (MUMC), Maastricht, The Netherlands.
Maastricht University Medical Centre · NLUniversitätsklinikum Aachen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the ion transport mechanism (ITM) in renal cell cancer (RCC) etiology using gene-environment interactions between candidate single nucleotide polymorphisms (SNPs) and associated environmental factors, including dietary intakes of sodium, potassium and fluid, hypertension and diuretic medication. A literature-based selection of 13 SNPs in ten ITM genes were successfully genotyped in toenail DNA of 3,048 subcohort members and 419 RCC cases from the Netherlands Cohort Study. Diet and lifestyle were measured with baseline questionnaires. Cox regression analyses were conducted for main effects and gene-environment interactions. ADD1_rs4961 was significantly associated with RCC risk, showing a Hazard Ratio (HR) of 1.24 (95% confidence intervals (CI): 1.01-1.53) for the GT + TT (versus GG) genotype. Four of 65 tested gene-environment interactions were statistically significant. Three of these interactions clustered in SLC9A3_rs4957061, including the ones with fluid and potassium intake, and diuretic medication. For fluid intake, the RCC risk was significantly lower for high versus low intake in participants with the CC genotype (HR(95% CI): 0.47(0.26-0.86)), but not for the CT + TT genotype (P-interaction = 0.002). None of the main genetic effects and gene-environment interactions remained significant after adjustment for multiple testing. Data do not support the general hypothesis that the ITM is a disease mechanism in RCC etiology.

Identifiers

PMID27686058
PMCPMC5043233
OpenAlexW2525268500

What OpenQuestion holds

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Registered trials

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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.