| Title |
Substance dependence low-density whole genome association study in two distinct American populations
|
|---|---|
| Published in |
Human Genetics, April 2008
|
| DOI | 10.1007/s00439-008-0501-0 |
| Pubmed ID | |
| Authors |
Yi Yu, Henry R. Kranzler, Carolien Panhuysen, Roger D. Weiss, James Poling, Lindsay A. Farrer, Joel Gelernter |
| Abstract |
Cocaine and opioid dependence are common, complex disorders with high heritability that commonly co-occur with other substance dependence disorders. Improved insight into the genetic basis of substance dependence would help elucidate its etiology and could inform its prevention and treatment. To generate new hypotheses about the genetics of substance dependence, we genotyped 5633 tagging single nucleotide polymorphism (SNP) markers in 1699 subjects from 339 African American (AA) families and 334 European American (EA) families ascertained through a sib pair meeting DSM-IV criteria for either cocaine or opioid dependence. The associations between genetic markers and five substance dependence traits (cocaine dependence, opioid dependence, cocaine-induced paranoia, alcohol dependence, and nicotine dependence) were assessed by family based association tests (FBAT). Results were ranked according to several criteria including statistical significance, concordance of results across population samples, and potential biological relevance of the implicated gene. The top-ranked result was an association of SNP rs1133503 in the MANEA gene with cocaine-induced paranoia (CIP). Our study provides an initial substance dependence trait-specific blueprint of associated regions for future candidate gene studies. |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Spain | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 31 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 26% |
| Professor > Associate Professor | 4 | 12% |
| Professor | 4 | 12% |
| Student > Doctoral Student | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Other | 7 | 21% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 21% |
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Agricultural and Biological Sciences | 5 | 15% |
| Psychology | 4 | 12% |
| Neuroscience | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 5 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 03 March 2009.
All research outputs
#3,259,236
of 22,708,120 outputs
Outputs from Human Genetics
#291
of 2,950 outputs
Outputs of similar age
#9,534
of 80,098 outputs
Outputs of similar age from Human Genetics
#1
of 8 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 88% of its peers.
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We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them