Evidence map›Paper›PMID 23584748›Full record

ReviewAlcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism2008

Systems genetics of alcoholism.

Chantel D Sloan, Vicki Sayarath, Jason H Moore

Abstract readReview
In one paragraph

Review in Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

3 authors.

Chantel D SloanSection of Epidemiology and Biostatistics, Department of Community and Family Medicine, Dartmouth Medical School, Lebanon, New Hampshire.
Vicki Sayarath
Jason H Moore

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alcoholism is a common disease resulting from the complex interaction of genetic, social, and environmental factors. Interest in the high heritability of alcoholism has resulted in many studies of how single genes, as well as an individual's entire genetic content (i.e., genome) and the proteins expressed by the genome, influence alcoholism risk. The use of large-scale methods to identify and characterize genetic material (i.e., high-throughput technologies) for data gathering and analysis recently has made it possible to investigate the complexity of the genetic architecture of susceptibility to common diseases such as alcoholism on a systems level. Systems genetics is the study of all genetic variations, their interactions with each other (i.e., epistasis), their interactions with the environment (i.e., plastic reaction norms), their relationship with interindividual variation in traits that are influenced by many genes and contribute to disease susceptibility (i.e., intermediate quantitative traits or endophenotypes) defined at different levels of hierarchical biochemical and physiological systems, and their relationship with health and disease. (An endophenotype is a genetically determined trait [i.e., phenotype] that is not immediately visible but may contribute to the susceptibility to develop a particular behavior or syndrome. See the glossary, p. 84, for descriptions of other technical terms used in this article.) The goal of systems genetics is to provide an understanding of the complex relationship between the genome and disease by investigating intermediate biological processes. After investigating main effects, the first step in a systems genetics approach, as described here, is to search for gene-gene (i.e., epistatic) reactions.

Indexed as

Gene-Environment InteractionAlcoholismAnimalsEpistasis, GeneticGenetic Association StudiesGenetic Predisposition to DiseaseHumansSystems Biology

Identifiers

PMID23584748
PMCPMC3860445

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.