Author

Ji Chen

Guangdong Medical College

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

Same name, identified by ORCID

Biology Disciplines

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Genetic & Genomic Medicine· 2 Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:fine-mapping· 1

Frequent Co-Authors

Adebowale AdeyemoiD· 2 shared Alain Bertoni· 2 shared Amel LamriiD· 2 shared Anny H. XiangiD· 2 shared Aude NicolasiD· 2 shared Bram Peter PrinsiD· 2 shared Brian E. CadeiD· 2 shared Chien-Hsiun CheniD· 2 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Adebowale AdeyemoORCID

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Author profile →

4 papers

Recent·Most cited

NeurosciencebioRxivPreprintMar 4, 2025

Phase separation drives SNARE complexes formation

Feng Chen, Qiongwei Ke, Sifan Feng…·Lili Cui

This study shows that phase separation drives SNARE complex formation and aggregation, with syntaxin1 non-IDRs necessary for this process, and identifies its role in recruiting synaptic vesicles.

DOI 10.1101/2025.03.04.641570

experimental assay

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Genetic & Genomic MedicineYearbook of pediatric endocrinologyPeer-reviewedSep 8, 2023

Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications

Suzuki Ken, Konstantinos Hatzikotoulas, Lorraine Southam…·H. Janaka de Silva

This study identifies 1,289 genetic signals for type 2 diabetes in 2.5 million individuals, revealing distinct clusters linked to vascular complications and highlighting ancestry-specific genetic risk factors.

31 citationstop 3%

humanGWAS summary statistics

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Genetic & Genomic MedicineDiscovery Research Portal (University of Dundee)Peer-reviewedJan 1, 2022

Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Anubha Mahajan, Cassandra Nichole Spracklen, Weihua Zhang…·Mary Cushman

This study identifies 277 T2D loci using diverse populations and improves fine-mapping to assess causal genes and mechanisms, enhancing clinical translation.

20 citations

humanGWAS summary statistics

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BioinformaticsbioRxivPreprintAug 18, 2017

GIC: A computational method for predicting the essentiality of long noncoding lncRNAs

Pan Zeng, Ji Chen, Yuan Zhou…·Qinghua Cui

GIC predicts the essentiality of protein-coding genes and lncRNAs using RNA sequence data, achieving high performance for lncRNAs in a mouse dataset.

DOI 10.1101/177923

mousebulk RNA-seq

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