Evidence map›Paper›PMID 24486638›Full record

ArticlePharmacology, biochemistry, and behavior2014

Finding genomic function for genetic associations in nicotine addiction research: the ENCODE project's role in future pharmacogenomic analysis.

David J Vandenbergh, Gabriel L Schlomer

Open access · greenAbstract read
In one paragraph

Article in Pharmacology, biochemistry, and behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. An Adolescent Substance Prevention Model Blocks the Effect of CHRNA5 Genotype on Smoking During High School.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2016
    Article
  4. Review
  5. Can Genetics Predict Response to Complex Behavioral Interventions? Evidence from a Genetic Analysis of the Fast Track Randomized Control Trial.Journal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management] · 2015
    Article
  6. 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

2 authors at 1 institution in 1 country.

David J VandenberghDepartment of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA 16802, USA; Penn State Institute of the Neurosciences, 101 Life Sciences Building, University Park, PA 16802, USA. Electronic address: djv4@psu.edu.
Gabriel L SchlomerDepartment of Human Development and Family Studies, The Pennsylvania State University, 315 Health and Human Development, East, University Park, PA 16802, USA. Electronic address: gls29@psu.edu.
Pennsylvania State University · US

Funding

Implications of Genetic Variance for Substance Use Interventions in AdolescenceR01DA030389 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI CLEVELAND, HOBART HARRINGTON, VANDENBERGH, DAVID J · 2011 to 2014
$2.2M
NIDA NIH HHS R01 DA030389NIDA NIH HHS R01DA030389
6 · The paper itself

Abstract

Tobacco-related behaviors and the underlying addiction to nicotine are complex tangles of genetic and environmental factors. Efforts to understand the genetic component of these traits have identified sites in the genome (single nucleotide polymorphisms, or SNPs) that might account for some part of the role of genetics in nicotine addiction. Encouragingly, some of these candidate SNPs remain significant in meta-analyses. However, genetic associations cannot be fully assessed, regardless of statistical significance, without an understanding of the functional consequences of the alleles present at these SNPs. The proper experimental test for allelic function can be very difficult to define, representing a roadblock in translating genetic results into treatment to prevent smoking and other nicotine-related behaviors. This roadblock can be navigated in part with a new web-based tool, the Encyclopedia of DNA Elements (ENCODE). ENCODE is a compilation of searchable data on several types of biochemical functions or "marks" across the genome. These data can be queried for the co-localization of a candidate SNP and a biochemical mark. The presence of a SNP within a marked region of DNA enables the generation of better-informed hypotheses to test possible functional roles of alleles at a candidate SNP. Two examples of such co-localizations are presented. One example reveals ENCODE's ability to relate a candidate SNP's function with a gene very far from the physical location of the SNP. The second example reveals a new potential function of the SNP, rs4105144, that has been genetically associated with the number of cigarettes smoked per day. Details for accessing the ENCODE data for this SNP are provided to serve as a tutorial. By serving as a bridge between genetic associations and biochemical function, ENCODE has the power to propel progress in untangling the genetic aspects of nicotine addiction - a major public health concern.

Indexed as

Genome, HumanPharmacogeneticsBrainHumansNicotianaPolymorphism, Single NucleotideTobacco Use DisorderCHRNCYP2A6EndophenotypeHabenulaSmoking

Identifiers

PMID24486638
PMCPMC4117825
OpenAlexW1986879419

What OpenQuestion holds

Textmetadata
LicenceTDM
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.