Author

Yuqing He

Huazhong Agricultural UniversityORCID 0000-0002-4855-5991Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Organism:plant (other)· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Organism:human· 1

Frequent Co-Authors

Chang LiuiD· 1 shared Fuheng Xie· 1 shared Gongwei WangiD· 1 shared Guanjun GaoiD· 1 shared Hao ZhouiD· 1 shared Hong YeiD· 1 shared Ma LiiD· 1 shared Ping SuniD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperGenetics

Chang LiuORCID

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3 papers

Recent·Most cited

GenomicsbioRxivPreprintAug 21, 2026

PC1-guided transcriptomic stratification reveals hepatic transcriptional heterogeneity and defines a myeloid-associated 20-gene signature

Zihan Li, Fuheng Xie, Yuqing He…·Qiang Liu

The paper uses PC1-guided transcriptomic stratification to reveal hepatic transcriptional heterogeneity and identifies a myeloid-associated 20-gene signature linked to coronary heart disease.

DOI 10.64898/2026.08.14.744782

humanbulk RNA-seq

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GeneticsGenePeer-reviewedDec 16, 2020

Genome-wide association study of flowering time reveals complex genetic heterogeneity and epistatic interactions in rice

Chang Liu, Yuan Tu, Shiyu Liao…·Gongwei Wang

This study performs a GWAS on rice flowering time, identifying hundreds of loci and epistatic interactions that contribute to genetic heterogeneity and missing heritability.

11 citations

plant (other)GWAS summary statistics

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GeneticsbioRxivPreprintJan 3, 2019

Dissection and validation of minor quantitative trait loci (QTLs) conferring grain size and weight in rice

Ping Sun, Yuanyuan Zheng, Pingbo Li…·Yuqing He

This study identifies and validates minor QTLs affecting grain size and weight in rice using F2 and BC1F2 populations, revealing their roles in key agronomic traits.

2 citations

plant (other)statistical model

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