日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Improving polygenic prediction from whole-genome sequencing data by leveraging predicted epigenomic features

利用预测的表观基因组特征改进全基因组测序数据的多基因预测。

Zeng, Wanwen; Guo, Hanmin; Liu, Qiao; Wong, Wing Hung

Detection and analysis of complex structural variation in human genomes across populations and in brains of donors with psychiatric disorders.

对不同人群的人类基因组以及患有精神疾病的捐赠者大脑中的复杂结构变异进行检测和分析

Zhou Bo, Arthur Joseph G, Guo Hanmin, Kim Taeyoung, Huang Yiling, Pattni Reenal, Wang Tao, Kundu Soumya, Luo Jay X J, Lee HoJoon, Nachun Daniel C, Purmann Carolin, Monte Emma M, Weimer Annika K, Qu Ping-Ping, Shi Minyi, Jiang Lixia, Yang Xinqiong, Fullard John F, Bendl Jaroslav, Girdhar Kiran, Kim Minsu, Chen Xi, Greenleaf William J, Duncan Laramie, Ji Hanlee P, Zhu Xiang, Song Giltae, Montgomery Stephen B, Palejev Dean, Zu Dohna Heinrich, Roussos Panos, Kundaje Anshul, Hallmayer Joachim F, Snyder Michael P, Wong Wing H, Urban Alexander E

Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics

利用 GWAS 汇总统计数据量化可移植遗传效应并改进跨种族遗传预测

Miao, Jiacheng; Guo, Hanmin; Song, Gefei; Zhao, Zijie; Hou, Lin; Lu, Qiongshi

Quantifying concordant genetic effects of de novo mutations on multiple disorders

量化新生突变对多种疾病的一致遗传效应

Guo, Hanmin; Hou, Lin; Shi, Yu; Jin, Sheng Chih; Zeng, Xue; Li, Boyang; Lifton, Richard P; Brueckner, Martina; Zhao, Hongyu; Lu, Qiongshi

Detecting local genetic correlations with scan statistics

利用扫描统计检测局部遗传相关性

Guo, Hanmin; Li, James J; Lu, Qiongshi; Hou, Lin