Evidence map›Paper›PMID 27236570›Full record

ArticleEnvironmental research2016

Distributional changes in gene-specific methylation associated with temperature.

Marie-Abele C Bind, Brent A Coull, Andrea Baccarelli, Letizia Tarantini, Laura Cantone, Pantel Vokonas, Joel Schwartz

Abstract read
In one paragraph

Article in Environmental research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Urinary phthalate metabolite concentrations and maternal weight during early pregnancy.International journal of hygiene and environmental health · 2017
    Article
  8. Thermal Control, Weather, and Aging.Current environmental health reports · 2017
    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.

Marie-Abele C BindDepartment of Statistics, Faculty of Arts and Science, Harvard University, Cambridge, MA, USA.
Brent A CoullDepartment of Biostatistics, Harvard School of Public Health, Boston, MA, USA.
Andrea BaccarelliDepartment of Environmental Health, Harvard School of Public Health, Boston, MA, USA.
Letizia TarantiniCenter of Molecular and Genetic Epidemiology, Department of Clinical Sciences and Community Health, Università degli Studi di Milano and Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy.
Laura CantoneCenter of Molecular and Genetic Epidemiology, Department of Clinical Sciences and Community Health, Università degli Studi di Milano and Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy.
Pantel VokonasVA Normative Aging Study, VA Boston Healthcare System and the Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Joel SchwartzDepartment of Environmental Health, Harvard School of Public Health, Boston, MA, USA.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
Epigenetic Effects of Particles and Metals on Cardiac Health of an Aging CohortR01ES015172 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI SCHWARTZ, JOEL D · 2006 to 2015
$4.8M
Cardiovascular Effects of Particles:The Role of Oxidative Stress and Metal PathwR01ES014663 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI SCHWARTZ, JOEL D · 2008 to 2011
$1.9M
NIA NIH HHS R21AG0H0027NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES014663NIEHS NIH HHS R01 ES015172
6 · The paper itself

Abstract

Temperature has been related to mean differences in DNA methylation. However, heterogeneity in these associations may exist across the distribution of methylation outcomes. This study examined whether the association between three-week averaged of temperature and methylation differs across quantiles of the methylation distributions in nine candidate genes. We measured gene-specific blood methylation repeatedly in 777 elderly men participating in the Normative Aging Study (1999-2010). We fit quantile regressions for longitudinal data to investigate whether the associations of temperature on methylation (expressed as %5mC) varied across the distribution of the methylation outcomes. We observed heterogeneity in the associations of temperature across percentiles of methylation in F3, TLR-2, CRAT, iNOS, and ICAM-1 genes. For instance, an increase in three-week temperature exposure was associated with a longer left-tail of the F3 methylation distribution. A 5°C increase in temperature was associated with a 0.15%5mC (95% confidence interval (CI): -0.27,-0.04) decrease on the 20th quantile of F3 methylation, but was not significantly related to the 80th quantile of this distribution (Estimate:0.06%5mC, 95%CI: -0.22, 0.35). Individuals with low values of F3, TLR-2, CRAT, and iNOS methylation, as well as a high value of ICAM-1 methylation, may be more susceptible to temperature effects on systemic inflammation.

Indexed as

Cold TemperatureDNA MethylationHot TemperatureAgedAged, 80 and overBlood Chemical AnalysisBostonEpigenesis, GeneticHumansMaleMiddle AgedDNA methylationQuantile regressionSusceptibilityTemperature

Identifiers

PMID27236570
PMCPMC5003672

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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.