Evidence map›Paper›PMID 19860796›Full record

ArticleAlcoholism, clinical and experimental research2010

Linkage analysis of alcohol dependence symptoms in the community.

Narelle K Hansell, Arpana Agrawal, John B Whitfield, Katherine I Morley, Scott D Gordon, Penelope A Lind, Michele L Pergadia, Grant W Montgomery, Pamela A F Madden, Richard D Todd and 2 more

Abstract readComparative StudyTwin Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Alcoholism, clinical and experimental research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. The genetics of substance dependence.Annual review of genomics and human genetics · 2012
    Review
  3. 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

12 authors.

Narelle K HansellGenetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Australia. Narelle.Hansell@qimr.edu.au
Arpana Agrawal
John B Whitfield
Katherine I Morley
Scott D Gordon
Penelope A Lind
Michele L Pergadia
Grant W Montgomery
Pamela A F Madden
Richard D Todd
Andrew C Heath
Nicholas G Martin

Funding

PILOT--GENETIC EPIDEMIOLOGY OF ALCOHOL AND TOBACCO CONSUMPTION IN CHINESE SAMPLEP50AA011998 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 1999 to 2008
$12.6M
THE GENETICS OF VULNERABILITY TO NICOTINE ADDICTIONSR01DA012854 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN · 2000 to 2013
$10.4M
Resource CoreP60AA011998 · NIAAA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN · 2009 to 2013
$8.8M
Molecular Epidemiology of Alcoholism 3 - EDAC FamiliesR01AA013321 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2001 to 2005
$4.3M
Molecular Epidemiology of Alcoholism 2- Big SibshipsR01AA013320 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2003 to 2007
$3.1M
CANNABIS AND TOBACCO INVOLVEMENT: A TWIN STUDYR01DA023668 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA · 2007 to 2016
$2.5M
Genetic Epideniologic Models of Alcohol AbuseR37AA007728 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 1998 to 2007
$2.2M
Molecular Epidemiology of Alcoholism 1: Candidate GeneR01AA013326 · NIAAA · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI MARTIN, NICHOLAS G · 2001 to 2005
$2.1M
VARIATION IN THE EFFECTS OF ALCOHOL ON LIVER FUNCTIONR01AA014041 · NIAAA · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI WHITFIELD, JOHN B · 2003 to 2007
$2.1M
Refining Phenotypic Measures of Nicotine WithdrawalK08DA019951 · NIDA · WASHINGTON UNIVERSITY · PI PERGADIA, MICHELE L · 2005 to 2009
$659k
The Genetics of Vulnerability to Nicotine AddictionsR56DA012854 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN · 2007 to 2007
$436k
PERSISTENCE AND CHANGE IN DRINKING HABITS--PROJECT TWOR01AA010249 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 1995 to 1998
–
NIAAA NIH HHS AA014041NIAAA NIH HHS AA07728NIAAA NIH HHS AA10248NIAAA NIH HHS AA11998NIAAA NIH HHS AA13320NIAAA NIH HHS AA13321NIAAA NIH HHS AA13326NIAAA NIH HHS P50 AA011998NIAAA NIH HHS P60 AA011998NIAAA NIH HHS R01 AA007728NIAAA NIH HHS R01 AA010249NIAAA NIH HHS R01 AA013320NIAAA NIH HHS R01 AA013321NIAAA NIH HHS R01 AA013326NIAAA NIH HHS R01 AA014041NIAAA NIH HHS R37 AA007728NIDA NIH HHS (DA019951NIDA NIH HHS DA023668NIDA NIH HHS DA12854NIDA NIH HHS K08 DA019951NIDA NIH HHS R01 DA012854NIDA NIH HHS R01 DA023668NIDA NIH HHS R56 DA012854
6 · The paper itself

Abstract

backgroundWe have previously identified suggestive linkage for alcohol consumption in a community-based sample of Australian adults. In this companion paper, we explore the strength of genetic linkage signals for alcohol dependence symptoms.

methodsAn alcohol dependence symptom score, based on DSM-IIIR and DSM-IV criteria, was examined. Twins and their nontwin siblings (1,654 males, 2,518 females), aged 21 to 81 years, were interviewed, with 803 individuals interviewed on 2 occasions, approximately 10 years apart. Linkage analyses were conducted on datasets compiled to maximize data collected at either the younger or the older age. In addition, linkage was compared between full samples and truncated samples that excluded the lightest drinkers (approximately 10% of the sample).

resultsSuggestive peaks on chromosome 5p (LODs >2.2) were found in a region previously identified in alcohol linkage studies using clinical populations. Linkage signal strength was found to vary between full and truncated samples and when samples differed only on the collection age for a sample subset.

conclusionsThe results support the finding that large community samples can be informative in the study of alcohol-related traits.

Indexed as

Residence CharacteristicsAdultAgedAged, 80 and overAlcohol DrinkingAlcoholismFemaleGenetic LinkageHumansLod ScoreMaleMiddle AgedYoung Adult

Identifiers

PMID19860796
PMCPMC3210700

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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.