Evidence map›Paper›PMID 23912820›Full record

ArticleBehavior genetics2013

Nine generations of selection for high and low nicotine intake in outbred Sprague-Dawley rats.

Tanseli Nesil, Lutfiye Kanit, Ming D Li, Sakire Pogun

Abstract read
In one paragraph

Article in Behavior genetics, 2013. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Sensory Effects of Nicotine and Tobacco.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Review
  3. Administration ofFrontiers in behavioral neuroscience · 2020
    Article
  4. Article
  5. Novelty Seeking and Drug Addiction in Humans and Animals: From Behavior to Molecules.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2016
    Review
  6. 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

4 authors.

Tanseli NesilDepartment of Psychiatry and Neurobehavioral Sciences, University of Virginia, 1670 Discovery Drive, Charlottesville, VA 22911, USA.
Lutfiye Kanit
Ming D Li
Sakire Pogun

Funding

MAPPING OF SUSCEPTIBILITY LOCI FOR NICOTINE DEPENDENCER01DA012844 · NIDA · UNIVERSITY OF VIRGINIA · PI LI, MING D · 1999 to 2013
$10.0M
NIDA NIH HHS DA-012844NIDA NIH HHS R01 DA012844
6 · The paper itself

Abstract

Previous animal studies have revealed significant involvement of genetics in nicotine intake; however, the extent of the genetic contribution to this behavior has not been well addressed. We report the first study of nine generations of selection for high and low voluntary nicotine intake in outbred Sprague-Dawley rats. Bidirectional mass selection resulted in progressively greater nicotine consumption in the high nicotine-preferring line but no decrease in nicotine intake in the low nicotine-preferring line across generations. Our estimated realized heritability for high voluntary nicotine intake is 0.26 vs close to zero for low voluntary nicotine intake. In contrast, we found no differences between the lines across generations for saccharine intake. These selected lines may provide useful animal models for identifying susceptibility and resistance genes and variants for controlling voluntary nicotine intake in rodents, although we recognize that more generations of selection of these two lines and independent replication of our selection for high and low nicotine-preferring lines are needed.

Indexed as

Disease Models, AnimalAnimalsFemaleMaleRatsRats, Sprague-DawleyTobacco Use Disorder

Identifiers

PMID23912820
PMCPMC3843147

What OpenQuestion holds

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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.