Evidence map›Paper›PMID 31918310›Full record

ArticleEnvironmental research2020

Genetic susceptibility may modify the association between cell phone use and thyroid cancer: A population-based case-control study in Connecticut.

Jiajun Luo, Hang Li, Nicole C Deziel, Huang Huang, Nan Zhao, Shuangge Ma, Xin Ni, Robert Udelsman, Yawei Zhang

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
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  9. Cell Phone Radiation Exposure Limits and Engineering Solutions.International journal of environmental research and public health · 2023
    Review
  10. Review
  11. Article
  12. Article
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  14. Review
  15. Article
  16. Is the Increasing Incidence of Thyroid Cancer in the Nordic Countries Caused by Use of Mobile Phones?International journal of environmental research and public health · 2020
    Article
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

9 authors at 4 institutions in 2 countries.

Jiajun LuoDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.
Hang LiDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.
Nicole C DezielDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.
Huang HuangDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.
Nan ZhaoPeking Union Medical College Hospital, Beijing, China.
Shuangge MaDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Xin NiBeijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing, China; Big Data and Engineering Research Center, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Robert UdelsmanEndocrine Neoplasm Institute, Miami Cancer Institute, Miami, FL, USA.
Yawei ZhangDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA; Section of Surgical Outcomes and Epidemiology, Department of Surgery, Yale School of Medicine, New Haven, CT, USA. Electronic address: yawei.zhang@yale.edu.
Yale University · USBeihang University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNMiami Transplant Institute · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Novel methods for identifying genetic interactions in cancer prognosisR01CA204120 · NCI · YALE UNIVERSITY · PI Shuangge Ma · 2016 to 2026
$3.5M
PHAHs and Thyroid Cancer Risk in DoDSR CohortR01ES020361 · NIEHS · YALE UNIVERSITY · PI RUSIECKI, JENNIFER ANN, ZHANG, YAWEI · 2012 to 2016
$3.3M
NCATS NIH HHS UL1 TR001863NCI NIH HHS R01 CA204120NIEHS NIH HHS R01 ES020361
6 · The paper itself

Abstract

Emerging studies have provided evidence on the carcinogenicity of radiofrequency radiation (RFR) from cell phones. This study aims to test the genetic susceptibility on the association between cell phone use and thyroid cancer. Population-based case-control study was conducted in Connecticut between 2010 and 2011 including 440 thyroid cancer cases and 465 population-based controls with genotyping information for 823 single nucleotide polymorphisms (SNPs) in 176 DNA genes. We used multivariate unconditional logistic regression models to estimate the genotype-environment interaction between each SNP and cell phone use and to estimate the association with cell phone use in populations according to SNP variants. Ten SNPs had P < 0.01 for interaction in all thyroid cancers. In the common homozygote groups, no association with cell phone use was observed. In the variant group (heterozygotes and rare homozygotes), cell phone use was associated with an increased risk for rs11070256 (odds ratio (OR): 2.36, 95% confidence interval (CI): 1.30-4.30), rs1695147 (OR: 2.52, 95% CI: 1.30-4.90), rs6732673 (OR: 1.59, 95% CI: 1.01-2.49), rs396746 (OR: 2.53, 95% CI: 1.13-5.65), rs12204529 (OR: 2.62, 95% CI: 1.33-5.17), and rs3800537 (OR: 2.64, 95% CI: 1.30-5.36) with thyroid cancers. In small tumors, increased risk was observed for 5 SNPs (rs1063639, rs1695147, rs11070256, rs12204529 and rs3800537), In large tumors, increased risk was observed for 3 SNPs (rs11070256, rs1695147, and rs396746). Our result suggests that genetic susceptibilities modify the associations between cell phone use and risk of thyroid cancer. The findings provide more evidence for RFR carcinogenic group classification.

Indexed as

Cell Phone UseGenetic Predisposition to DiseasePolymorphism, Single NucleotideThyroid NeoplasmsCase-Control StudiesConnecticutDNAFemaleGenotypeHumansMaleRisk FactorsDNACell phoneGenetic-environment interactionGenetic susceptibleRadiofrequency radiationThyroid cancer

Identifiers

PMID31918310
PMCPMC7061309
OpenAlexW2992047007

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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.