Evidence map›Paper›PMID 23990377›Full record

ReviewMolecular neurobiology2014

Introduction to deep sequencing and its application to drug addiction research with a focus on rare variants.

Shaolin Wang, Zhongli Yang, Jennie Z Ma, Thomas J Payne, Ming D Li

Open access · greenAbstract readReview
In one paragraph

Review in Molecular neurobiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Genetics, Neurogenetics and Pharmacogenetics of Addiction.Current behavioral neuroscience reports · 2014
    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 at 3 institutions in 2 countries.

Shaolin WangDepartment of Psychiatry & Neurobiology Science, University of Virginia, 1670 Discovery Drive, Suite 110, Charlottesville, VA, 22911, USA.
Zhongli Yang
Jennie Z Ma
Thomas J Payne
Ming D Li
University of Virginia · USShanxi Agricultural University · CNUniversity of Mississippi Medical Center · US

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
MAPPING OF SUSCEPTIBILITY LOCI FOR NICOTINE DEPENDENCER01DA012844 · NIDA · UNIVERSITY OF VIRGINIA · PI LI, MING D · 1999 to 2013
$10.0M
NCI NIH HHS P30 CA044579NIDA NIH HHS DA-012844NIDA NIH HHS R01 DA012844
6 · The paper itself

Abstract

Through linkage analysis, candidate gene approach, and genome-wide association studies (GWAS), many genetic susceptibility factors for substance dependence have been discovered such as the alcohol dehydrogenase gene (ALDH2) for alcohol dependence (AD) and nicotinic acetylcholine receptor (nAChR) subunit variants on chromosomes 8 and 15 for nicotine dependence (ND). However, these confirmed genetic factors contribute only a small portion of the heritability responsible for each addiction. Among many potential factors, rare variants in those identified and unidentified susceptibility genes are supposed to contribute greatly to the missing heritability. Several studies focusing on rare variants have been conducted by taking advantage of next-generation sequencing technologies, which revealed that some rare variants of nAChR subunits are associated with ND in both genetic and functional studies. However, these studies investigated variants for only a small number of genes and need to be expanded to broad regions/genes in a larger population. This review presents an update on recently developed methods for rare-variant identification and association analysis and on studies focused on rare-variant discovery and function related to addictions.

Indexed as

AnimalsBehavior, AddictiveGenetic Predisposition to DiseaseGenetic VariationHigh-Throughput Nucleotide SequencingHumansPolymorphism, Single NucleotideSubstance-Related Disorders

Identifiers

PMID23990377
PMCPMC3948219
OpenAlexW2027731503

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.