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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide association studies in the Japanese population identify seven novel loci for type 2 diabetes
|
|---|---|
| Published in |
Nature Communications, January 2016
|
| DOI | 10.1038/ncomms10531 |
| Pubmed ID | |
| Authors |
Minako Imamura, Atsushi Takahashi, Toshimasa Yamauchi, Kazuo Hara, Kazuki Yasuda, Niels Grarup, Wei Zhao, Xu Wang, Alicia Huerta-Chagoya, Cheng Hu, Sanghoon Moon, Jirong Long, Soo Heon Kwak, Asif Rasheed, Richa Saxena, Ronald C. W. Ma, Yukinori Okada, Minoru Iwata, Jun Hosoe, Nobuhiro Shojima, Minaka Iwasaki, Hayato Fujita, Ken Suzuki, John Danesh, Torben Jørgensen, Marit E. Jørgensen, Daniel R. Witte, Ivan Brandslund, Cramer Christensen, Torben Hansen, Josep M. Mercader, Jason Flannick, Hortensia Moreno-Macías, Noël P. Burtt, Rong Zhang, Young Jin Kim, Wei Zheng, Jai Rup Singh, Claudia H. T. Tam, Hiroshi Hirose, Hiroshi Maegawa, Chikako Ito, Kohei Kaku, Hirotaka Watada, Yasushi Tanaka, Kazuyuki Tobe, Ryuzo Kawamori, Michiaki Kubo, Yoon Shin Cho, Juliana C. N. Chan, Dharambir Sanghera, Philippe Frossard, Kyong Soo Park, Xiao-Ou Shu, Bong-Jo Kim, Jose C. Florez, Teresa Tusié-Luna, Weiping Jia, E Shyong Tai, Oluf Pedersen, Danish Saleheen, Shiro Maeda, Takashi Kadowaki |
| Abstract |
Genome-wide association studies (GWAS) have identified more than 80 susceptibility loci for type 2 diabetes (T2D), but most of its heritability still remains to be elucidated. In this study, we conducted a meta-analysis of GWAS for T2D in the Japanese population. Combined data from discovery and subsequent validation analyses (23,399 T2D cases and 31,722 controls) identify 7 new loci with genome-wide significance (P<5 × 10(-8)), rs1116357 near CCDC85A, rs147538848 in FAM60A, rs1575972 near DMRTA1, rs9309245 near ASB3, rs67156297 near ATP8B2, rs7107784 near MIR4686 and rs67839313 near INAFM2. Of these, the association of 4 loci with T2D is replicated in multi-ethnic populations other than Japanese (up to 65,936 T2Ds and 158,030 controls, P<0.007). These results indicate that expansion of single ethnic GWAS is still useful to identify novel susceptibility loci to complex traits not only for ethnicity-specific loci but also for common loci across different ethnicities. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 26% |
| Denmark | 2 | 11% |
| Japan | 1 | 5% |
| Mexico | 1 | 5% |
| Argentina | 1 | 5% |
| Colombia | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 7 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 58% |
| Scientists | 6 | 32% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | <1% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Sri Lanka | 1 | <1% |
| Unknown | 203 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 18% |
| Student > Ph. D. Student | 30 | 14% |
| Student > Bachelor | 24 | 12% |
| Student > Master | 20 | 10% |
| Professor > Associate Professor | 11 | 5% |
| Other | 42 | 20% |
| Unknown | 43 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 22% |
| Biochemistry, Genetics and Molecular Biology | 36 | 17% |
| Agricultural and Biological Sciences | 34 | 16% |
| Social Sciences | 6 | 3% |
| Neuroscience | 5 | 2% |
| Other | 25 | 12% |
| Unknown | 56 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 11 February 2023.
All research outputs
#1,567,538
of 24,598,501 outputs
Outputs from Nature Communications
#21,901
of 53,069 outputs
Outputs of similar age
#28,168
of 406,637 outputs
Outputs of similar age from Nature Communications
#295
of 745 outputs
Altmetric has tracked 24,598,501 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 53,069 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.1. This one has gotten more attention than average, scoring higher than 58% 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 406,637 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 745 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 60% of its contemporaries.