Evidence map›Paper›PMID 27034928›Full record

ArticleBioMed research international2016

An Efficient Approach to Screening Epigenome-Wide Data.

Meredith A Ray, Xin Tong, Gabrielle A Lockett, Hongmei Zhang, Wilfried J J Karmaus

Abstract read
In one paragraph

Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. The role of epigenetics in multi-generational transmission of asthma: An NIAID workshop report-based narrative review.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. BMI trajectory in childhood is associated with asthma incidence at young adulthood mediated by DNA methylation.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2021
    Article
  13. Article
  14. Variation of DNA Methylation in Newborns Associated with Exhaled Carbon Monoxide during Pregnancy.International journal of environmental research and public health · 2021
    Article
  15. Sex-specific associations of asthma acquisition with changes in DNA methylation during adolescence.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2021
    Article
  16. Article
  17. Association of Maternal DNA Methylation and Offspring Birthweight.Reproductive sciences (Thousand Oaks, Calif.) · 2021
    Article
  18. Article
  19. Article
  20. 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

5 authors.

Meredith A RayDivision of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Zach Curlin Street, Memphis, TN 38152, USA.ORCID 0000-0001-5312-3774
Xin TongDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Green Street, Columbia, SC 29208, USA.
Gabrielle A LockettHuman Development and Health, Faculty of Medicine, University of Southampton, 801 South Academic Block Tremona Road, Southampton SO16 6YD, UK.
Hongmei ZhangDivision of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Zach Curlin Street, Memphis, TN 38152, USA.ORCID 0000-0003-3557-0364
Wilfried J J KarmausDivision of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Zach Curlin Street, Memphis, TN 38152, USA.

Funding

Transgenerational epigenetic inheritance of allergy in a multigenerational cohortR01AI091905 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI KARMAUS, WILFRIED JJ · 2011 to 2015
$2.7M
Phenomics: Joint Clustering to Associate Changes in Allergy and Asthma Over TimeR21AI099367 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI ZHANG, HONGMEI · 2013 to 2014
$372k
NIAID NIH HHS R01 AI091905NIAID NIH HHS R01AI091905NIAID NIH HHS R21 AI099367NIAID NIH HHS R21AI099367
6 · The paper itself

Abstract

Screening cytosine-phosphate-guanine dinucleotide (CpG) DNA methylation sites in association with some covariate(s) is desired due to high dimensionality. We incorporate surrogate variable analyses (SVAs) into (ordinary or robust) linear regressions and utilize training and testing samples for nested validation to screen CpG sites. SVA is to account for variations in the methylation not explained by the specified covariate(s) and adjust for confounding effects. To make it easier to users, this screening method is built into a user-friendly R package, ttScreening, with efficient algorithms implemented. Various simulations were implemented to examine the robustness and sensitivity of the method compared to the classical approaches controlling for multiple testing: the false discovery rates-based (FDR-based) and the Bonferroni-based methods. The proposed approach in general performs better and has the potential to control both types I and II errors. We applied ttScreening to 383,998 CpG sites in association with maternal smoking, one of the leading factors for cancer risk.

Indexed as

AlgorithmsComputational BiologyCpG IslandsDNA MethylationEpigenomicsGenome, HumanHumansLinear ModelsNeoplasmsOligonucleotide Array Sequence AnalysisRisk Factors

Identifiers

PMID27034928
PMCPMC4808532

What OpenQuestion holds

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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.