| Title |
A meta-analysis of two genome-wide association studies to identify novel loci for maximum number of alcoholic drinks
|
|---|---|
| Published in |
Human Genetics, June 2013
|
| DOI | 10.1007/s00439-013-1318-z |
| Pubmed ID | |
| Authors |
Manav Kapoor, Jen-Chyong Wang, Leah Wetherill, Nhung Le, Sarah Bertelsen, Anthony L. Hinrichs, John Budde, Arpana Agrawal, Kathleen Bucholz, Danielle Dick, Oscar Harari, Victor Hesselbrock, John Kramer, John I. Nurnberger, John Rice, Nancy Saccone, Marc Schuckit, Jay Tischfield, Bernice Porjesz, Howard J. Edenberg, Laura Bierut, Tatiana Foroud, Alison Goate |
| Abstract |
Maximum number of alcoholic drinks consumed in a 24-h period (maxdrinks) is a heritable (>50 %) trait and is strongly correlated with vulnerability to excessive alcohol consumption and subsequent alcohol dependence (AD). Several genome-wide association studies (GWAS) have studied alcohol dependence, but few have concentrated on excessive alcohol consumption. We performed two GWAS using maxdrinks as an excessive alcohol consumption phenotype: one in 118 extended families (N = 2,322) selected from the Collaborative Study on the Genetics of Alcoholism (COGA), and the other in a case-control sample (N = 2,593) derived from the Study of Addiction: Genes and Environment (SAGE). The strongest association in the COGA families was detected with rs9523562 (p = 2.1 × 10(-6)) located in an intergenic region on chromosome 13q31.1; the strongest association in the SAGE dataset was with rs67666182 (p = 7.1 × 10(-7)), located in an intergenic region on chromosome 8. We also performed a meta-analysis with these two GWAS and demonstrated evidence of association in both datasets for the LMO1 (p = 7.2 × 10(-7)) and PLCL1 genes (p = 4.1 × 10(-6)) with maxdrinks. A variant in AUTS2 and variants in INADL, C15orf32 and HIP1 that were associated with measures of alcohol consumption in a meta-analysis of GWAS studies and a GWAS of alcohol consumption factor score also showed nominal association in the current meta-analysis. The present study has identified several loci that warrant further examination in independent samples. Among the top SNPs in each of the dataset (p ≤ 10(-4)) far more showed the same direction of effect in the other dataset than would be expected by chance (p = 2 × 10(-3), 3 × 10(-6)), suggesting that there are true signals among these top SNPs, even though no SNP reached genome-wide levels of significance. |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Spain | 1 | 2% |
| Netherlands | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 59 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 20% |
| Researcher | 13 | 20% |
| Professor | 6 | 9% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 5 | 8% |
| Other | 12 | 19% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 20% |
| Medicine and Dentistry | 12 | 19% |
| Biochemistry, Genetics and Molecular Biology | 10 | 16% |
| Psychology | 8 | 13% |
| Neuroscience | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 13 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 09 June 2013.
All research outputs
#5,694,285
of 22,711,645 outputs
Outputs from Human Genetics
#729
of 2,950 outputs
Outputs of similar age
#47,908
of 197,464 outputs
Outputs of similar age from Human Genetics
#6
of 17 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 75% 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 197,464 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 17 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 58% of its contemporaries.