Author

Jiangming Sun

Lund UniversityORCID 0000-0001-6814-1297Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Jiangming Sun1 paper

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:clustering· 1

Frequent Co-Authors

Andreas EdsfeldtiD· 2 shared Isabel GonçalvesiD· 2 shared Akiko MammotoiD· 1 shared Ankita Das· 1 shared Blanca Tardajos AyllóniD· 1 shared Chrysostomi GialeliiD· 1 shared Emily V. ChambersiD· 1 shared Helle Færk JørgenseniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPathology

Andreas EdsfeldtORCID

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3 papers

Recent·Most cited

PathologyNature CommunicationsPeer-reviewedFeb 18, 2026

✦ In-depth digest

TWIST1 drives endothelial-to-mesenchymal-transition to stabilize atherosclerotic plaques

Blanca Tardajos Ayllón, Mannekomba R. Diagbouga, Ankita Das…·Paul Charles Evans

Endothelial Twist1 drives partial and advanced endothelial-to-mesenchymal transition via PELP1 and AEBP1-COL4A1 signaling, increasing collagen and ACTA2+ cells to stabilize atherosclerotic plaques in male mice and human carotid arteries.

10 citationstop 1%

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Genetic & Genomic MedicinemedRxivPreprintAug 23, 2023

Circulating ADAM17 is associated with COVID-19 severity

Mengyu Pan, Isabel Gonçalves, Andreas Edsfeldt…·Per Swärd

This study uses Mendelian randomization to show that higher circulating ADAM17 levels are causally linked to increased risk of critical COVID-19.

1 citation

humanGWAS summary statistics

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GeneticsbioRxivPreprintOct 25, 2020

deMeta: Removing sub-studies from meta-analysis of genome wide association studies (GWAS)

Jiangming Sun, Yunpeng Wang

deMeta removes the effect of a sub-study from GWAS meta-analysis results using only summary statistics, enabling efficient correction of overlapping samples.

DOI 10.1101/2020.10.25.354191

GWAS summary statisticsstatistical model

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