Evidence map›Paper›PMID 14975174›Full record

ArticleBMC genetics2003

Genome-wide screen for heavy alcohol consumption.

Diego F Wyszynski, Carolien I Panhuysen, Qianli Ma, Agustin G Yip, Marsha Wilcox, Porat Erlich, Lindsay A Farrer

Abstract read
In one paragraph

Article in BMC genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Linkage analysis of alcohol dependence symptoms in the community.Alcoholism, clinical and experimental research · 2010
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

7 authors.

Diego F WyszynskiGenetics Program, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts 02118, USA. dfw@bu.edu
Carolien I Panhuysen
Qianli Ma
Agustin G Yip
Marsha Wilcox
Porat Erlich
Lindsay A Farrer

Funding

Sex-specific analysis of opioid dependence GWAS and beyondR01DA012690 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2000 to 2017
$14.0M
GENETICS OF COCAINE DEPENDENCER01DA012849 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1999 to 2010
$11.5M
NIDA NIH HHS DA12690NIDA NIH HHS DA12849NIDA NIH HHS R01 DA012690NIDA NIH HHS R01 DA012849
6 · The paper itself

Abstract

backgroundTo find specific genes predisposing to heavy alcohol consumption (self-reported consumption of 24 grams or more of alcohol per day among men and 12 grams or more among women), we studied 330 families collected by the Framingham Heart Study made available to participants in the Genetic Analysis Workshop 13 (GAW13).

resultsParametric and nonparametric methods of linkage analysis were used. No significant evidence of linkage was found; however, weak signals were identified in several chromosomal regions, including 1p22, 4q12, 4q25, and 11q24, which are in the vicinity of those reported in other similar studies.

conclusionOur study did not reveal significant evidence of linkage to heavy alcohol use; however, we found weak confirmation of studies carried out in other populations.

Indexed as

Genome, HumanAdult ChildrenAlcohol DrinkingChromosome MappingChromosomes, Human, Pair 1Chromosomes, Human, Pair 11Chromosomes, Human, Pair 4Cohort StudiesFemaleGenetic LinkageGenetic MarkersGenetic Predisposition to DiseaseGenetic TestingHumansLongitudinal StudiesMaleGenetic Markers

Identifiers

PMID14975174
PMCPMC1866444

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Registered trials

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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.