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Associations between the orexin (hypocretin) receptor 2 gene polymorphism Val308Ile and nicotine dependence in genome-wide and subsequent association studies

Overview of attention for article published in Molecular Brain, August 2015
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5 tweeters

Citations

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Title
Associations between the orexin (hypocretin) receptor 2 gene polymorphism Val308Ile and nicotine dependence in genome-wide and subsequent association studies
Published in
Molecular Brain, August 2015
DOI 10.1186/s13041-015-0142-x
Pubmed ID
Authors

Daisuke Nishizawa, Shinya Kasai, Junko Hasegawa, Naomi Sato, Hidetaka Yamada, Fumihiko Tanioka, Makoto Nagashima, Ryoji Katoh, Yasuo Satoh, Megumi Tagami, Hiroshi Ujike, Norio Ozaki, Toshiya Inada, Nakao Iwata, Ichiro Sora, Masaomi Iyo, Mitsuhiko Yamada, Naoki Kondo, Moo-Jun Won, Nobuya Naruse, Kumi Uehara-Aoyama, Masanari Itokawa, Kazutaka Ohi, Ryota Hashimoto, Kumpei Tanisawa, Tomio Arai, Seijiro Mori, Motoji Sawabe, Makiko Naka-Mieno, Yoshiji Yamada, Miki Yamada, Noriko Sato, Masaaki Muramatsu, Masashi Tanaka, Yoko Irukayama-Tomobe, Yuki C. Saito, Takeshi Sakurai, Masakazu Hayashida, Haruhiko Sugimura, Kazutaka Ikeda

Abstract

Many genetic and environmental factors are involved in the etiology of nicotine dependence. Although several candidate gene variations have been reported by candidate gene studies or genome-wide association studies (GWASs) to be associated with smoking behavior and the vulnerability to nicotine dependence, such studies have been mostly conducted with subjects with European ancestry. However, genetic factors have rarely been investigated for the Japanese population as GWASs. To elucidate genetic factors involved in nicotine dependence in Japanese, the present study comprehensively explored genetic contributors to nicotine dependence by using whole-genome genotyping arrays with more than 200,000 markers in Japanese subjects. The subjects for the GWAS and replication study were 148 and 374 patients, respectively. A two-stage GWAS was conducted using the Fagerström Test for Nicotine Dependence (FTND), Tobacco Dependence Screener (TDS), and number of cigarettes smoked per day (CPD) as indices of nicotine dependence. For the additional association analyses, patients who underwent major abdominal surgery, patients with methamphetamine dependence/psychosis, and healthy subjects with schizotypal personality trait data were recruited. Autopsy specimens with various diseases were also evaluated. After the study of associations between more than 200,000 marker single-nucleotide polymorphisms (SNPs) and the FTND, TDS, and CPD, the nonsynonymous rs2653349 SNP (located on the gene that encodes orexin [hypocretin] receptor 2) was selected as the most notable SNP associated with FTND, with a p value of 0.0005921 in the two-stage GWAS. This possible association was replicated for the remaining 374 samples. This SNP was also associated with postoperative pain, the initiation of methamphetamine use, schizotypal personality traits, and susceptibility to goiter. Although the p value did not reach a conventional genome-wide level of significance in our two-stage GWAS, we obtained significant results in the subsequent analyses that suggest that the rs2653349 SNP (Val308Ile) could be a genetic factor that is related to nicotine dependence and possibly pain, schizotypal personality traits, and goiter in the Japanese population.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 20%
Student > Ph. D. Student 18 19%
Researcher 7 7%
Student > Doctoral Student 7 7%
Other 5 5%
Other 17 18%
Unknown 23 24%
Readers by discipline Count As %
Medicine and Dentistry 17 18%
Psychology 10 10%
Nursing and Health Professions 9 9%
Neuroscience 9 9%
Agricultural and Biological Sciences 7 7%
Other 17 18%
Unknown 27 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 April 2016.
All research outputs
#5,797,782
of 11,428,083 outputs
Outputs from Molecular Brain
#154
of 501 outputs
Outputs of similar age
#79,866
of 235,470 outputs
Outputs of similar age from Molecular Brain
#8
of 16 outputs
Altmetric has tracked 11,428,083 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 501 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 68% 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 235,470 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 65% of its contemporaries.
We're also able to compare this research output to 16 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 50% of its contemporaries.