Author

Yu‐Shan Huang

BGI Group (China)ORCID 0000-0002-9047-5709Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:whole-genome sequencing· 2 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Xun XuiD· 3 shared Huanming YangiD· 2 shared Panhong LiuiD· 2 shared Xin JiniD· 2 shared Aifen ZhouiD· 1 shared Bin Rao· 1 shared Canqing YuiD· 1 shared Changxiang Lai· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Xun XuORCID

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3 papers

Recent·Most cited

Genetic analysis of 104 pregnancy phenotypes in 39,194 Chinese women

Xiao Han, Linxuan Li, Meng Yang, Xinyi Zhang, Jieqiong Zhou, Jingyu Zeng, Yan Zhou, Xianmei Lan, Jiuying Liu, Ying H. Lin, Yuanyuan Zhong, Xiaoqian Zhang, Lin Wang, Zhongqiang Cao, Panhong Liu, , Xin Jin

This study performs a large-scale genetic analysis of 104 pregnancy phenotypes in 39,194 Chinese women, identifying 407 trait-locus associations and uncovering novel genetic insights into pregnancy-related traits.

Cell Genomics · Oct 1, 2024Peer-reviewedGenetic & Genomic Medicine

Initial Whole Genome Sequencing and Analysis of the Host Genetic Contribution to COVID-19 Severity and Susceptibility

Fang Wang, Shujia Huang, Rongsui Gao, Yuwen Zhou, Changxiang Lai, Zhichao Li, Wenjie Xian, Xiaobo Qian, Zhiyu Li, Yu‐Shan Huang, Qiyuan Tang, Panhong Liu, Ruikun Chen, Rong Liu, Xuan Li, , Lei Liu

This study analyzes whole-genome sequencing data from 332 Chinese COVID-19 patients to identify genetic variants associated with disease severity and susceptibility.

Cell Discovery · Nov 10, 2020Peer-reviewedGenetic & Genomic Medicine

Genome sequencing combining prenatal ultrasound in the evaluation of fetal CNS structural anomalies

Ying Yang, Sheng Zhao, Guoqiang Sun, Fang Chen, Tongda Zhang, Jieping Song, Wenzhong Yang, Lin Wang, Nianji Zhan, Xiaohong Helena Yang, Xia Zhu, Bin Rao, Zhenzhen Yin, Jing Zhou, Haisheng Yan, , Xinlin Chen

This study evaluates genome sequencing for diagnosing fetal CNS structural anomalies, finding a 38.9% overall diagnostic yield and higher rates in specific malformations.

medRxiv · Mar 4, 2020 · PreprintGenetic & Genomic Medicine