Skip to main content
Jee Yun Han on Muck Rack

Jee Yun Han

As seen in: Nature, PLOS
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Jee Yun

Contact Jee Yun, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Mapping genetic effects on cell type-specific chromatin accessibility and annotating complex immune trait variants using single nucleus ATAC-seq in peripheral blood

|
By Paola Benaglio, Jee Yun Han, Joshua Chiou
| PLOS
Mapping chromatin accessibility QTLs in immune cell types and sub-types Within each immune cell type and sub-type cluster, we aggregated reads for all cells in the cluster, generated accessible chromatin read count profiles, and called accessible chromatin sites using MACS2 [22]. Considering all immune cell types and sub-types there were 243,247 total accessible chromatin sites (S5 Table).
Open in Who Shared Issue with article?

Integrating genetics with single-cell multiomic measurements across disease states identifies mechanisms of beta cell dysfunction in type 2 diabetes - Nature Genetics

|
By Joshua Chiou, Jee Yun Han, Nikita Kadakia, Joan Camunas-Soler, Theodore dos Santos, Seung K. Kim, Sebastian Preissl, Kyle J. Gaulton
| Nature Verified
Abstract Dysfunctional pancreatic islet beta cells are a hallmark of type 2 diabetes (T2D), but a comprehensive understanding of the underlying mechanisms, including gene dysregulation, is lacking. Here we integrate information from measurements of chromatin accessibility, gene expression and function in single beta cells with genetic association data to nominate disease-causal gene regulatory changes in T2D.
Open in Who Shared Issue with article?

Interpreting type 1 diabetes risk with genetics and single-cell epigenomics

|
By Joshua Chiou, Jee Yun Han, Ryan J. Geusz, Mei-Lin Okino
| Nature Verified
1. Claussnitzer, M. et al. A brief history of human disease genetics. Nature 577, 179–189 (2020). ADS CAS PubMed PubMed Central Article Google Scholar 2. ENCODE Project Consortium. An integrated encyclopedia of DNA elements in the human genome. Nature 489, 57–74 (2012). ADS Article CAS Google Scholar 3. Katsarou, A. et al. Type 1 diabetes mellitus. Nat. Rev. Dis. Primers 3, 17016 (2017). PubMed Article PubMed Central Google Scholar 4. Onengut-Gumuscu, S. et al.
Open in Who Shared Issue with article?
See all 4 articles