Evidence map›Paper›PMID 22233731›Full record

ArticleEnvironmental health perspectives2012

An investigation of modifying effects of metallothionein single-nucleotide polymorphisms on the association between mercury exposure and biomarker levels.

Yi Wang, Jaclyn M Goodrich, Brenda Gillespie, Robert Werner, Niladri Basu, Alfred Franzblau

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  14. Genetic Aspects of Susceptibility to Mercury Toxicity: An Overview.International journal of environmental research and public health · 2017
    Review
  15. Biomarkers of mercury toxicity: Past, present, and future trends.Journal of toxicology and environmental health. Part B, Critical reviews · 2017
    Review
  16. Article
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Yi WangDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan 48109-2029, USA.
Jaclyn M Goodrich
Brenda Gillespie
Robert Werner
Niladri Basu
Alfred Franzblau
University of Michigan · USCancer Research And Biostatistics · USCenter for Environmental Health · US

Funding

MICHIGAN INSTITUTE FOR CLINICAL AND HEALTH RESEARCH (MICHR) (UL1): (BPCA)UL1RR024986 · NCRR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHANLEY, THOMAS P. · 2007 to 2011
$51.2M
University of Michigan ERC-supplement (TRT)T42OH008455 · OH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEITZEL, RICHARD L · 2005 to 2025
$32.3M
ENVIRONMENTAL TOXICOLOGY PRE/POST DOCTORAL RES.TRAININGT32ES007062 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin Adam Colacino · 1985 to 2026
$10.5M
NCRR NIH HHS UL1 RR024986NCRR NIH HHS UL1RR024986NIEHS NIH HHS T32 ES007062NIOSH CDC HHS T42 OH008455NIOSH CDC HHS T42 OH 008455-04PHS HHS T32 007062
6 · The paper itself

Abstract

backgroundRecent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans.

objectiveWe hypothesized that single-nucleotide polymorphisms (SNPs) in metallothionein (MT) genes may underlie interindividual differences in mercury biomarker levels. We studied the potential modifying effects of MT SNPs on mercury exposure-biomarker relationships.

methodsWe measured total mercury in urine and hair samples of 515 dental professionals. We also surveyed occupational and personal exposures to dental amalgam and dietary fish consumption, from which daily methylmercury (MeHg) intake was estimated. Log-transformed urine and hair levels were modeled in multivariable linear regression separately against respective exposure surrogates, and the effect modification of 13 MT SNPs on exposure was investigated.

resultsThe mean mercury levels in urine (1.06 μg/L) and hair (0.51 μg/g) were not significantly different from the U.S. general population (0.95 μg/L and 0.47 μg/g, respectively). The mean estimated daily MeHg intake was 0.084 μg/kg/day (range, 0-0.98 μg/kg/day), with 25% of study population intakes exceeding the current U.S. Environmental Protection Agency reference dose of 0.1 μg/kg/day. Multivariate regression analysis showed that subjects with the MT1M (rs2270837) [corrected] AA genotype (n = 10) or the MT2A (rs10636) CC genotype (n = 42) had lower urinary mercury levels than did those with the MT1M or MT2A GG genotype (n = 329 and 251, respectively) after controlling for exposure and potential confounders. After controlling for MeHg intake, subjects with MT1A (rs8052394) GA and GG genotypes (n = 24) or the MT1M (rs9936741) TT genotype (n = 459) had lower hair mercury levels than did subjects with MT1A AA (n = 113) or MT1M TC and CC genotypes (n = 15), respectively.

conclusionOur findings suggest that some MT genetic polymorphisms may influence mercury biomarker concentrations at levels of exposure relevant to the general population.

Indexed as

Dental StaffDentistsEnvironmental ExposureAdultAgedAnimalsBiomarkersDental AmalgamFemaleFishesHairHumansLinear ModelsMaleMercuryMetallothioneinBiomarkersDental AmalgamMercuryMetallothioneinMethylmercury Compounds

Identifiers

PMID22233731
PMCPMC3339459
OpenAlexW2069750999

What OpenQuestion holds

Textmetadata
LicenceCC0
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.