王 青波

更新记录:

- 2021/08/22 在Nature Communications发表了关于COVID-19和eQTL的新论文
- 2021/12/30 终于准备好了中文版网站
- 2021/10/25 在Nature News & Views发表了一篇解释论文
-2021/06/07 在Nature Communications发表了新论文
-2021/06/01 从今天开始我是大阪大学副教授

学历

-博士号 (Ph.D.) 哈弗大学
(2016/08-2021/05 生命医学信息学专业 )

- 学士 (B.S.) 東京大学
(2012/04-2016/03 理学部 生物信息科学科 / 理科一類入学)

研究专业

遗传统计学 / 群体遗传学 / 功能基因组学 / 非编码DNA変異 / 精彩定位 / 基因表达 ...

研究论文 (主要)
(其他论文: Google Scholar)

1. Wang, Q.S., Kelley, D.R., Ulirsch, J. et al. Leveraging supervised learning for functionally informed fine-mapping of cis-eQTLs identifies an additional 20,913 putative causal eQTLs. Nat Commun 12, 3394 (2021). https://doi.org/10.1038/s41467-021-23134-8 

2. Wang, Q., Pierce-Hoffman, E., Cummings, B.B. et al. Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes. Nat Commun 11, 2539 (2020). https://doi.org/10.1038/s41467-019-12438-5

3. Karczewski, K.J., Francioli, L.C., Tiao, G. Cummings, B.B., Alföldi, J., Wang, Q. et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature 581, 434–443 (2020). https://doi.org/10.1038/s41586-020-2308-7

4. Whiffin, N., Armean, I.M., Kleinman, A., ..., Wang, Q., ..., et al. The effect of LRRK2 loss-of-function variants in humans. Nat Med 26, 869–877 (2020). https://doi.org/10.1038/s41591-020-0893-5

5. Wang Q., Ui-Tei K. (2017) Computational Prediction of CRISPR/Cas9 Target Sites Reveals Potential Off-Target Risks in Human and Mouse. In: Hatada I. (eds) Genome Editing in Animals. Methods in Molecular Biology, vol 1630. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7128-2_4

得奖经历

2016/09-2021/05   The Nakajima Foundation Scholarship (Summary in Japanese)
2020/03                         Finalist, MIT Sloan Sports Analytics Conference (SSAC) Hackathon (Presentation link)
2019/12                         Molecular Biology Sciety of Japan (MBSJ) Early Career Researchers in Overseas Award
2019/06                         Global Grand Prize, Microsoft Vivli Datathon (Manuscript, Press)
2018-2019                   Harvard Brain Science Initiative (HBI) Young Scientist Development Award (Article) 

Contact: qsw[at]calicolabs.com