Author

Ning Zheng

Karolinska InstitutetORCID 0000-0002-0451-6536Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Assay:GWAS summary statistics· 3 Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Organism:Arabidopsis· 1 Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:fine-mapping· 1 Organism:human· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Xia SheniD· 3 shared Xiao FengiD· 2 shared Alexander K. Grishenko· 1 shared Chris HaleyiD· 1 shared Dongyu Zeng· 1 shared James F. WilsoniD· 1 shared Masoud ShiraliiD· 1 shared Peter K. JoshiiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersGenetics

Xia ShenORCID

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3 papers

Recent·Most cited

Dual-trait pleiotropic analysis in highly stratified natural populations using genome-wide association summary statistics

Xiao Feng, Yanjun Zan, Ning Zheng, Weilin Xu, Qianhui Wan, Dongyu Zeng, Ziyi Zeng, Yang Liu, Xia Shen

This paper introduces a bivariate GWAS approach to uncover hidden genetic loci in Arabidopsis thaliana by addressing population stratification and identifies a pleiotropic gene affecting flowering time and maturation.

bioRxiv · Apr 19, 2023 · PreprintGenetics

Improved estimation of phenotypic correlations using summary association statistics

Ting Li, Ning Zheng, Xia Shen

The paper improves phenotypic correlation estimation using summary association statistics by proposing a low-MAF Z-score correlation method that reduces bias compared to existing approaches.

Frontiers in Genetics · Aug 24, 2021Peer-reviewedGenetics

Beyond power: Multivariate discovery, replication, and interpretation of pleiotropic loci using summary association statistics

Ning Zheng, Yakov A. Tsepilov, Sodbo Sharapov, Alexander K. Grishenko, Xiao Feng, Masoud Shirali, Peter K. Joshi, James F. Wilson, Yudi Pawitan Y, Chris Haley, Yurii S. Aulchenko, Xia Shen

This paper develops a multi-trait framework for discovering, replicating, and interpreting pleiotropic loci using GWAS summary statistics, identifying novel genetic associations without additional genotyping.

bioRxiv · Apr 11, 2019 · PreprintGenetics