Author

Guo-Bo Chen

Shenzhen Maternity and Child Healthcare Hospital

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 3 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:GWAS / association mapping· 3 Assay:GWAS summary statistics· 3 Organism:human· 3 Research Focus:benchmarking· 1

Frequent Co-Authors

Jian YangiD· 2 shared Matthew R Robinson· 2 shared Sang Hong Lee· 2 shared Zhi-Xiang Zhu· 2 shared Adam E Locke· 1 shared Alexander GuseviD· 1 shared Alkes Price· 1 shared Andrew R Wood· 1 shared

Activity by Year

2015-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersGenetics

Jian YangORCID

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4 papers

Recent·Most cited

A Dynamic Genetic Atlas of Gestational Phenotypes

SiYang Maggie Liu, Hao Zheng, Yuqin Gu, Zijing Yang, Jianxin Zhen, Yuandan Wei, Yanhong Liu, Yanchao Chen, Zijun Wan, Xinxin Guo, Liang Hu, Guo-Bo Chen, Xiu Qiu, Shujia Huang, Guo‐Bo Chen, , Fengxiang Wei

The paper identifies 4,688 genome-wide significant loci for 111 gestational phenotypes and finds dynamic genetic effects linked to maternal health outcomes.

medRxiv · Oct 15, 2024 · PreprintGenetic & Genomic Medicine

Across-cohort QC analyses of genome-wide association study summary statistics from complex traits

Guo-Bo Chen, Sang Hong Lee, Matthew R Robinson, Maciej Trzaskowski, Zhi-Xiang Zhu, Thomas W Winkler, Felix R Day, Damien C Croteau-Chonka, Andrew R Wood, Adam E Locke, Zoltán Kutalik, Ruth J F Loos, Timothy M Frayling, Joel N Hirschhorn, Jian Yang, , Peter M Visscher

This study introduces metrics and tools to assess quality control in genome-wide association meta-analyses using summary statistics from multiple cohorts.

bioRxiv · Dec 6, 2015 · PreprintGenetics

EigenGWAS: finding loci under selection through genome-wide association studies of eigenvectors in structured populations

Guo-Bo Chen, Sang Hong Lee, Zhi-Xiang Zhu, Beben Benyamin, Matthew R Robinson

EigenGWAS uses GWAS on eigenvectors to detect selection signals in structured populations, identifying loci under selection along ancestry gradients.

bioRxiv · Nov 17, 2015Genetics

Mixed Model with Correction for Case-Control Ascertainment Increases Association Power

tristan hayeck, Noah Zaitlen, Po-Ru Loh, Bjarni Vilhjalmsson, Samuela Pollack, Alexander Gusev, Jian Yang, Guo-Bo Chen, Michael E. Goddard, Peter M. Visscher, Nick Patterson, Alkes Price

The paper introduces a new mixed model method for case-control studies that improves association power while controlling false positives, showing gains in power on real and simulated data.

The American Journal of Human Genetics · May 1, 2015Peer-reviewedGenetics