Hyejung Won
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hyejungwon.bsky.social
Hyejung Won
@hyejungwon.bsky.social
Associate Professor at UNC Chapel Hill
Neurogenetics
wonlab.org
Thanks Leo! It was lovely to meet you again!
July 2, 2025 at 5:04 PM
Thanks so much Keri for inviting me ❤️ It was a great pleasure to visit Lieber and meet so many amazing scientists!
July 2, 2025 at 5:03 PM
Huge congrats Debby! This was a lovely story when you presented at GRC ❤️
May 14, 2025 at 9:30 PM
Huge congrats Alexi and Sarah 🎉
May 1, 2025 at 1:16 PM
Reposted by Hyejung Won
Watch the video📽️attached to see what each of these awesome #FemsinSTEM are up to!

🧵3/3
March 11, 2025 at 2:15 AM
Marija, I am so much happy for you! Huge congrats! 😍
March 6, 2025 at 10:15 PM
Hello, it is because borderline disorder GWAS is not well powered: i.e. it does not have any hits (dots) above the red line in figure 2: www.nature.com/articles/tp2.... This means that there are not robust and reliable genomic regions that we can chase after for functional analysis.
Genome-wide association study of borderline personality disorder reveals genetic overlap with bipolar disorder, major depression and schizophrenia - Translational Psychiatry
Translational Psychiatry - Genome-wide association study of borderline personality disorder reveals genetic overlap with bipolar disorder, major depression and schizophrenia
www.nature.com
February 28, 2025 at 9:49 PM
This is soooo cool Pedro! Huge congrats!
February 27, 2025 at 3:49 PM
15/ Last but not least, I'd like to thank fabulous first authors, Sool Lee, Jessica McAfee, and Jiseok Lee; great collaborators, Pat Sullivan, Adriana Beltran, @markgerstein.bsky.social, Alan Boyle; and a fantastic editor, Scott Behie!
January 28, 2025 at 2:45 PM
Thanks so much!
January 28, 2025 at 2:34 PM
Yay thanks! You deserve a credit here 😆
January 28, 2025 at 2:34 PM
14/ There’s much more in the full manuscript, including findings on Alu elements with gene regulatory activity and CRISPR validation. Check it out here for full access: authors.elsevier.com/a/1kU9ZL7PXq...
authors.elsevier.com
January 28, 2025 at 2:30 PM
13/ Together, our findings suggest pleiotropy arises from the functional properties of target genes and proteins, including prolonged gene activity during neuronal differentiation and higher protein connectivity in PPI networks.
January 28, 2025 at 2:30 PM
12/ PPI networks were a recurring theme: mDis3-bound transcription factors, mDis3 proteins, and even downstream effectors all showed higher connectivity in PPI networks. Connectivity in these networks seems critical to how pleiotropic variants exert their effects.
January 28, 2025 at 2:30 PM
11/ We also investigated protein-protein interaction (PPI) networks. mDis3 proteins were significantly more interconnected than mDis1 proteins. This implies pleiotropic proteins may amplify their effects through network connectivity, rippling through molecular pathways.
January 28, 2025 at 2:30 PM
10/ This suggests that mDis3 variants target genes with broader or longer activity across excitatory neuronal differentiation, potentially driving multiple downstream effects. These temporal differences may explain part of the functional diversity seen in pleiotropy.
January 28, 2025 at 2:30 PM
9/ We next examined the functional properties of variants and their target genes. Both mDis1 and mDis3 variants were enriched in the excitatory neuronal lineage. In this lineage, mDis1 genes were often expressed in a single cell type, while mDis3 genes showed prolonged, multi-cell-type expression.
January 28, 2025 at 2:29 PM
8/ Next, we wondered if mDis3 variants have more complex regulatory connectivity (e.g., linking to multiple genes). Again, no significant differences were found between mDis3 and mDis1 loci in the number of genes connected to emVars.
January 28, 2025 at 2:29 PM
7/ First, we asked if mDis3 loci simply have more emVars than mDis1 loci. The number of emVars didn’t differ between mDis3 and mDis1 loci. So, the extent of pleiotropy wasn’t explained by the number of variants with regulatory activity.
January 28, 2025 at 2:28 PM
6/ Why exclude 2-disorder variants? Many were linked to bipolar and schizophrenia, which have high genetic correlation (>0.7). This made it hard to determine if they were truly pleiotropic or just driven by shared biology between these two highly related disorders.
January 27, 2025 at 7:03 PM