Author

Ying Chang

Nankai UniversityORCID 0000-0002-2264-5622Unclaimed 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· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:scATAC-seq· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Dandan HuangiD· 2 shared Mulin Jun LiiD· 2 shared Xianfu YiiD· 2 shared Yao ZhouiD· 2 shared Fa Chen· 1 shared Feng WangiD· 1 shared Hao Lu· 1 shared Hongxi YangiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersGenetics

Dandan HuangORCID

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2 papers

Recent·Most cited

Single-cell multiomic QTL mapping reveals state-dependent genetic regulation and associated gene during cellular senescence

Xianfu Yi, Xueqi Wang, Kunlun Liu, Lin Zhao, Fa Chen, Qianting Jian, Jianhua Wang, Hao Lu, Wei Dong, Yao Zhou, Ying Chang, Xiaoqiong Gu, Pak Chung Sham, Dandan Huang, Mulin Jun Li

The paper uses single-cell multiome data to identify QTLs regulating gene expression and chromatin accessibility during cellular senescence, revealing new causal variants and regulatory mechanisms.

bioRxiv · Sep 21, 2026 · PreprintGenetics

Unraveling the causal genes and transcriptomic determinants of human telomere length

Ying Chang, Yao Zhou, Junrui Zhou, Wen Li, Jiasong Cao, Yaqing Jing, Shan Zhang, Yongmei Shen, Qimei Lin, Xutong Fan, Hongxi Yang, Xiaobao Dong, Shijie Zhang, Xianfu Yi, Ling Shuai, , Dandan Huang

This study identifies causal genes and transcriptomic factors influencing human telomere length using placental tissue data and GWAS.

Nature Communications · Dec 21, 2023Peer-reviewedGenetics