Evidence map›Paper›PMID 29740475›Full record

ArticleFrontiers in genetics2018

Dose Response and Prediction Characteristics of a Methylation Sensitive Digital PCR Assay for Cigarette Consumption in Adults.

Robert Philibert, Meesha Dogan, Amanda Noel, Shelly Miller, Brianna Krukow, Emma Papworth, Joseph Cowley, Jeffrey D Long, Steven R H Beach, Donald W Black

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. The androgen clock is an epigenetic predictor of long-term male hormone exposure.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Epigenetic biomarkers for smoking cessation.Addiction neuroscience · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

10 authors at 3 institutions in 1 country.

Robert PhilibertBehavioral Diagnostics LLC, Coralville, IA, United States.
Meesha DoganDepartment of Psychiatry, University of Iowa, Iowa City, IA, United States.
Amanda NoelBehavioral Diagnostics LLC, Coralville, IA, United States.
Shelly MillerBehavioral Diagnostics LLC, Coralville, IA, United States.
Brianna KrukowBehavioral Diagnostics LLC, Coralville, IA, United States.
Emma PapworthBehavioral Diagnostics LLC, Coralville, IA, United States.
Joseph CowleyCenter for Alcohol and Drug Services, Davenport, IA, United States.
Jeffrey D LongBehavioral Diagnostics LLC, Coralville, IA, United States.
Steven R H BeachCenter for Family Studies at the University of Georgia, Athens, GA, United States.
Donald W BlackDepartment of Psychiatry, University of Iowa, Iowa City, IA, United States.
Behavioral Diagnostics (United States) · USUniversity of Iowa · USUniversity of Georgia · US

Funding

The Relationship of AHRR Methylation to Risky Adolescent BehaviorsR01DA037648 · NIDA · UNIVERSITY OF IOWA · PI GERRARD, MEG, PHILIBERT, ROBERT A · 2014 to 2017
$2.4M
Quantitative PCR Platform for The Assessment of Alcohol ConsumptionR44AA022041 · NIAAA · BD HOLDING, INC. · PI PHILIBERT, ROBERT A · 2016 to 2017
$1.4M
A Quantitative Epigenetic Test for Guiding Smoking Cessation TherapyR44CA213507 · NCI · BD HOLDING, INC. · PI PHILIBERT, ROBERT A · 2016 to 2017
$1.3M
NCI NIH HHS R44 CA213507NIAAA NIH HHS R44 AA022041NIDA NIH HHS R01 DA037648
6 · The paper itself

Abstract

The tobacco use disorders are the largest preventable cause of morbidity and mortality in the world. A substantial barrier to the development of better intervention and screening measures is the lack of clinically employable biomarkers to detect the existence and extent of tobacco consumption. In prior work, we and others have shown that array based assessment of DNA methylation status at cg05575921 is a sensitive and quantitative method for assessing cigarette consumption. Unfortunately, in general, arrays are not practical clinical tools. Herein, we detail the prediction performance metrics and dose dependency of a clinically implementable droplet digital PCR (ddPCR) assay for cigarette consumption in adults. First, we demonstrate that measurements of cg05575921 as determined by Illumina array and ddPCR are highly correlated (

Indexed as

AHRRcg05575921diagnosticsdigital PCRDNA methylationepigeneticssmoking

Identifiers

PMID29740475
PMCPMC5928210
OpenAlexW2801095658

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.