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Variants Located Upstream of CHRNB4 on Chromosome 15q25.1 Are Associated with Age at Onset of Daily Smoking and Habitual Smoking

Overview of attention for article published in PLOS ONE, March 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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1 policy source
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3 X users

Citations

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25 Dimensions

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82 Mendeley
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1 CiteULike
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Title
Variants Located Upstream of CHRNB4 on Chromosome 15q25.1 Are Associated with Age at Onset of Daily Smoking and Habitual Smoking
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033513
Pubmed ID
Authors

Manav Kapoor, Jen-Chyong Wang, Sarah Bertelsen, Kathy Bucholz, John P. Budde, Anthony Hinrichs, Arpana Agrawal, Andrew Brooks, David Chorlian, Danielle Dick, Victor Hesselbrock, Tatiana Foroud, John Kramer, Samuel Kuperman, Niklas Manz, John Nurnberger, Bernice Porjesz, John Rice, Jay Tischfield, Xiaoling Xuei, Marc Schuckit, Howard J. Edenberg, Laura J. Bierut, Alison M. Goate

Abstract

Several genome-wide association and candidate gene studies have linked chromosome 15q24-q25.1 (a region including the CHRNA5-CHRNA3-CHRNB4 gene cluster) with alcohol dependence, nicotine dependence and smoking-related illnesses such as lung cancer and chronic obstructive pulmonary disease. To further examine the impact of these genes on the development of substance use disorders, we tested whether variants within and flanking the CHRNA5-CHRNA3-CHRNB4 gene cluster affect the transition to daily smoking (individuals who smoked cigarettes 4 or more days per week) in a cross sectional sample of adolescents and young adults from the COGA (Collaborative Study of the Genetics of Alcoholism) families. Subjects were recruited from families affected with alcoholism (either as a first or second degree relative) and the comparison families. Participants completed the SSAGA interview, a comprehensive assessment of alcohol and other substance use and related behaviors. Using the Quantitative trait disequilibrium test (QTDT) significant association was detected between age at onset of daily smoking and variants located upstream of CHRNB4. Multivariate analysis using a Cox proportional hazards model further revealed that these variants significantly predict the age at onset of habitual smoking among daily smokers. These variants were not in high linkage disequilibrium (0.28<r(2)<0.56) with variants that have previously been reported to affect risk for nicotine dependence and smoking related diseases in adults. The data suggests that an age-associated relationship underlies the association of SNPs in CHRNB4 with onset of chronic smoking behaviors in adolescents and young adults and may improve genetic information that will lead to better prevention and intervention for substance use disorders among adolescents and young adults.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 7%
Germany 2 2%
Canada 2 2%
United Kingdom 2 2%
France 1 1%
Belgium 1 1%
Brazil 1 1%
Unknown 67 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 20%
Student > Ph. D. Student 10 12%
Student > Master 10 12%
Professor 8 10%
Student > Doctoral Student 7 9%
Other 16 20%
Unknown 15 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 26%
Medicine and Dentistry 10 12%
Biochemistry, Genetics and Molecular Biology 9 11%
Psychology 8 10%
Nursing and Health Professions 3 4%
Other 13 16%
Unknown 18 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2014.
All research outputs
#6,109,012
of 22,663,969 outputs
Outputs from PLOS ONE
#72,827
of 193,506 outputs
Outputs of similar age
#40,816
of 158,020 outputs
Outputs of similar age from PLOS ONE
#1,096
of 3,624 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 193,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 61% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 158,020 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 3,624 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.