| Title |
Identification of six new genetic loci associated with atrial fibrillation in the Japanese population
|
|---|---|
| Published in |
Nature Genetics, April 2017
|
| DOI | 10.1038/ng.3842 |
| Pubmed ID | |
| Authors |
Siew-Kee Low, Atsushi Takahashi, Yusuke Ebana, Kouichi Ozaki, Ingrid E Christophersen, Patrick T Ellinor, Soichi Ogishima, Masayuki Yamamoto, Mamoru Satoh, Makoto Sasaki, Taiki Yamaji, Motoki Iwasaki, Shoichiro Tsugane, Keitaro Tanaka, Mariko Naito, Kenji Wakai, Hideo Tanaka, Tetsushi Furukawa, Michiaki Kubo, Kaoru Ito, Yoichiro Kamatani, Toshihiro Tanaka |
| Abstract |
Atrial fibrillation is the most common cardiac arrhythmia and leads to stroke. To investigate genetic loci associated with atrial fibrillation in the Japanese population, we performed a genome-wide association study (GWAS) that included 8,180 atrial fibrillation cases and 28,612 controls with follow-up in an additional 3,120 cases and 125,064 controls. We replicated previously reported loci and identified six new loci, near the KCND3, PPFIA4, SLC1A4-CEP68, HAND2, NEBL and SH3PXD2A genes. Five of the six new loci were specifically associated with atrial fibrillation in the Japanese population after comparing our data to those from individuals of European ancestry, suggesting that there might be different genetic factors affecting susceptibility across ancestry groups. Our study discovered variants in the HAND2, KCND3 and NEBL genes, which are relevant to atrial fibrillation susceptibility. The involvement of PPFIA4 and SH3PXD2A in axon guidance also suggested a role in disease pathogenesis. Our findings may contribute to a better understanding of atrial fibrillation susceptibility and pathogenesis. |
X Demographics
The data shown below were collected from the profiles of 40 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 | 15 | 38% |
| United Kingdom | 3 | 8% |
| Switzerland | 2 | 5% |
| Japan | 2 | 5% |
| France | 2 | 5% |
| Germany | 1 | 3% |
| Poland | 1 | 3% |
| China | 1 | 3% |
| Unknown | 13 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 50% |
| Scientists | 17 | 43% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 124 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 25% |
| Researcher | 26 | 21% |
| Student > Doctoral Student | 10 | 8% |
| Student > Bachelor | 8 | 6% |
| Student > Master | 7 | 6% |
| Other | 21 | 17% |
| Unknown | 21 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 40 | 32% |
| Medicine and Dentistry | 24 | 19% |
| Agricultural and Biological Sciences | 21 | 17% |
| Computer Science | 3 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
| Other | 7 | 6% |
| Unknown | 26 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 06 November 2021.
All research outputs
#1,050,877
of 26,017,215 outputs
Outputs from Nature Genetics
#1,793
of 7,655 outputs
Outputs of similar age
#20,906
of 328,101 outputs
Outputs of similar age from Nature Genetics
#51
of 85 outputs
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