Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians
Nature Genetics2011Vol. 43(6), pp. 531–538
Citations Over TimeTop 1% of 2011 papers
Norihiro Kato, Fumihiko Takeuchi, Yasuharu Tabara, Tanika N. Kelly, Min Jin Go, Xueling Sim, Wan Ting Tay, Chien-Hsiun Chen, Yi Zhang, Ken Yamamoto, Tomohiro Katsuya, Mitsuhiro Yokota, Young Jin Kim, Rick Twee‐Hee Ong, Toru Nabika, Dongfeng Gu, Li-Ching Chang, Yoshihiro Kokubo, Wei Huang, Keizo Ohnaka, Yukio Yamori, Eitaro Nakashima, Cashell E. Jaquish, Jong‐Young Lee, Mark Seielstad, Masato Isono, James E. Hixson, Yuan-Tsong Chen, Tetsuro Miki, Xueya Zhou, Takao Sugiyama, Jae Pil Jeon, Jianjun Liu, Ryoichi Takayanagi, Sung Soo Kim, Tin Aung, Yan V. Sun, Xuegong Zhang, Tien Yin Wong, Bok Ghee Han, Shotai Kobayashi, Toshio Ogihara, Dingliang Zhu, Naoharu Iwai, Jer-Yuarn Wu, Yik Ying Teo, E Shyong Tai, Yoon Shin Cho, Jiang He
Related Papers
- → Gene and pathway-based second-wave analysis of genome-wide association studies(2009)240 cited
- → Technical Reproducibility of Genotyping SNP Arrays Used in Genome-Wide Association Studies(2012)72 cited
- → Lessons and implications from association studies and post-GWAS analyses of cervical cancer(2014)59 cited
- → Genome-wide association studies in aging-related processes such as diabetes mellitus, atherosclerosis and cancer(2007)43 cited
- → GWAS summary-based pathway analysis correcting for the genetic confounding impact of environmental exposures(2017)4 cited