| Title |
A genome-wide association study links small-vessel ischemic stroke to autophagy
|
|---|---|
| Published in |
Scientific Reports, November 2017
|
| DOI | 10.1038/s41598-017-14355-3 |
| Pubmed ID | |
| Authors |
Tsong-Hai Lee, Tai-Ming Ko, Chien-Hsiun Chen, Yeu-Jhy Chang, Liang-Suei Lu, Chien-Hung Chang, Kuo-Lun Huang, Ting-Yu Chang, Jiann-Der Lee, Ku-Chou Chang, Jen-Tsung Yang, Ming-Shien Wen, Chao-Yung Wang, Ying-Ting Chen, Tsai-Chuan Chen, Shu-Yu Chou, Ming-Ta Michael Lee, Yuan-Tsong Chen, Jer-Yuarn Wu |
| Abstract |
Genome-wide association studies (GWAS) can serve as strong evidence in correlating biological pathways with human diseases. Although ischemic stroke has been found to be associated with many biological pathways, the genetic mechanism of ischemic stroke is still unclear. Here, we performed GWAS for a major subtype of stroke-small-vessel occlusion (SVO)-to identify potential genetic factors contributing to ischemic stroke. GWAS were conducted on 342 individuals with SVO stroke and 1,731 controls from a Han Chinese population residing in Taiwan. The study was replicated in an independent Han Chinese population comprising an additional 188 SVO stroke cases and 1,265 controls. Three SNPs (rs2594966, rs2594973, rs4684776) clustered at 3p25.3 in ATG7 (encoding Autophagy Related 7), with P values between 2.52 × 10(-6) and 3.59 × 10(-6), were identified. Imputation analysis also supported the association between ATG7 and SVO stroke. To our knowledge, this is the first GWAS to link stroke and autophagy. ATG7, which has been implicated in autophagy, could provide novel insights into the genetic basis of ischemic stroke. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 25% |
| Student > Master | 6 | 19% |
| Student > Ph. D. Student | 4 | 13% |
| Student > Bachelor | 3 | 9% |
| Lecturer | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Medicine and Dentistry | 6 | 19% |
| Agricultural and Biological Sciences | 3 | 9% |
| Neuroscience | 3 | 9% |
| Economics, Econometrics and Finance | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 10 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 November 2017.
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#17,919,786
of 23,007,887 outputs
Outputs from Scientific Reports
#87,839
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#237,020
of 331,173 outputs
Outputs of similar age from Scientific Reports
#2,897
of 4,445 outputs
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