Author

Junli Lin

Pennsylvania State UniversityPrimary ORCID profile (0000-0002-6769-1155 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Junli LiniD1 paper · Second Affiliated Hospital of Guangzhou Medical University

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:polygenic risk· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Ana M. Kenney· 1 shared Francesca ChiaromonteiD· 1 shared Ian M. PauliD· 1 shared Jennifer S. SavageiD· 1 shared Kateryna D. MakovaiD· 1 shared Leann L. Birch· 1 shared Matthew L. ReimherriD· 1 shared Michele E. MariniiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperGenetics

Ana M. Kenney

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1 paper

Recent·Most cited

Polygenic risk score based on weight gain trajectories is a strong predictor of childhood obesity

Sarah J. C. Craig, Ana M. Kenney, Junli Lin, Ian M. Paul, Leann L. Birch, Jennifer S. Savage, Michele E. Marini, Francesca Chiaromonte, Matthew L. Reimherr, Kateryna D. Makova

This paper develops a polygenic risk score for childhood obesity using longitudinal weight gain data and shows it predicts obesity risk better than adult GWAS-based scores.

bioRxiv · Feb 16, 2020 · PreprintGenetics