| Title |
Epistasis Analysis for Estrogen Metabolic and Signaling Pathway Genes on Young Ischemic Stroke Patients
|
|---|---|
| Published in |
PLOS ONE, October 2012
|
| DOI | 10.1371/journal.pone.0047773 |
| Pubmed ID | |
| Authors |
Yi-Chen Hsieh, Jiann-Shing Jeng, Huey-Juan Lin, Chaur-Jong Hu, Chia-Chen Yu, Li-Ming Lien, Giia-Sheun Peng, Chin-I Chen, Sung-Chun Tang, Nai-Fang Chi, Hung-Pin Tseng, Chang-Ming Chern, Fang-I Hsieh, Chyi-Huey Bai, Yi-Rhu Chen, Hung-Yi Chiou, Jiann-Shing Jeng, Sung-Chun Tang, Shin-Joe Yeh, Li-Kai Tsai, Shin Kong, Li-Ming Lien, Hou-Chang Chiu, Wei-Hung Chen, Chyi-Huey Bai, Tzu-Hsuan Huang, Lau Chi-Ieong, Ya-Ying Wu, Rey-Yue Yuan, Chaur-Jong Hu, Jau- Jiuan Sheu, Jia-Ming Yu, Chun-Sum Ho, Chin-I Chen, Jia-Ying Sung, Hsing-Yu Weng, Yu-Hsuan Han, Chun-Ping Huang, Wen-Ting Chung, Der-Shin Ke, Huey-Juan Lin, Chia-Yu Chang, Poh-Shiow Yeh, Kao-Chang Lin, Tain-Junn Cheng, Chih-Ho Chou, Chun-Ming Yang, Giia-Sheun Peng, Jiann-Chyun Lin, Yaw-Don Hsu, Jong-Chyou Denq, Jiunn-Tay Lee, Chang-Hung Hsu, Chun-Chieh Lin, Che-Hung Yen, Chun-An Cheng, Yueh-Feng Sung, Yuan-Liang Chen, Ming-Tung Lien, Chung-Hsing Chou, Chia-Chen Liu, Fu-Chi Yang, Yi-Chung Wu, An-Chen Tso, Yu- Hua Lai, Chun-I Chiang, Chia-Kuang Tsai, Meng-Ta Liu, Ying-Che Lin, Yu-Chuan Hsu, Chih-Hung Chen, Pi-Shan Sung, Chang-Ming Chern, Han-Hwa Hu, Wen-Jang Wong, Yun-On Luk, Li-Chi Hsu, Chih-Ping Chung, Hung-Pin Tseng, Chin-Hsiung Liu, Chun-Liang Lin, Hung-Chih Lin, Chaur-Jong Hu |
| Abstract |
Endogenous estrogens play an important role in the overall cardiocirculatory system. However, there are no studies exploring the hormone metabolism and signaling pathway genes together on ischemic stroke, including sulfotransferase family 1E (SULT1E1), catechol-O-methyl-transferase (COMT), and estrogen receptor α (ESR1). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Other | 4 | 10% |
| Professor | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Professor > Associate Professor | 4 | 10% |
| Other | 9 | 23% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 33% |
| Agricultural and Biological Sciences | 4 | 10% |
| Neuroscience | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Arts and Humanities | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 11 | 28% |