Author
Dongwon Lee
Boston Children's HospitalORCID 0000-0002-1568-2249Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2020-2026 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 27 mutual co-author links13 papers
Recent·Most cited
The landscape of allele-specific expression in human kidneys
Ana C. Onuchic-Whitford, Junmo Sung, Eric D. Sakkas, Michelle T. McNulty, Victoria Mezger, Christopher Lund O'Connor, Anya Greenberg, Jihoon G. Yoon, Sowmya Badina, Laura H. Mariani, Markus Bitzer, Matthew Gordon Sampson, Dongwon Lee
This study maps allele-specific expression in human kidney disease, finding increased glomerular ASE associated with better disease outcomes.
Science Advances · Oct 2, 2026Peer-reviewedGenomics
Synaptic input-selective homeostasis safeguards developing cortical neurons toward setpoint activity
Zhao‐Lin Cai, Colleen M Longley, Dongwon Lee, Wu Chen, Mingshan Xue
The paper shows developing cortical neurons achieve activity setpoints through input-selective synaptic remodeling, overcoming perturbations by selectively strengthening excitation and reducing inhibition.
bioRxiv · Aug 4, 2026 · PreprintNeuroscience
Identification of candidate causal cis-regulatory variants underlying electrocardiographic QT interval GWAS loci
Supraja Kadagandla, Lavanya Gunamalai, Dongwon Lee, Ashish Kapoor
The paper identifies candidate causal cis-regulatory variants at electrocardiographic QT interval GWAS loci by integrating open chromatin data and expression quantitative trait loci.
Circulation Genomic and Precision Medicine · May 27, 2025Peer-reviewedGenetics
Massively parallel reporter assays identify functional enhancer variants at QT interval GWAS loci
Dongwon Lee, Lavanya Gunamalai, Jeerthi Kannan, Kyla Vickery, Or Yaacov, Ana C. Onuchic-Whitford, Aravinda Chakravarti, Ashish Kapoor
The paper identifies functional enhancer variants at QT interval GWAS loci using MPRA and predicts their impact on cardiac gene expression.
bioRxiv · Mar 11, 2025 · PreprintGenetics
Identification of the molecular components of enhancer-mediated gene expression variation in multiple tissues regulating blood pressure
Or Yaacov, Prabhu Mathiyalagan, Hanna Berk-Rauch, Santhi K. Ganesh, Luke Zhu, Thomas J. Hoffmann, Carlos Iribarren, NEIL J. RISCH, Dongwon Lee, Aravinda Chakravarti
The paper identifies genes regulating blood pressure by analyzing enhancer variants and integrating epigenomic data with genotype-phenotype associations across multiple tissues.
Hypertension · May 15, 2024Peer-reviewedGenetic & Genomic Medicine
Accurate cross-platform GWAS analysis via two-stage imputation
Anya Greenberg, Kaylia M. Reynolds, Zhanqing Hua, Michelle T. McNulty, Matthew Gordon Sampson, Hyun M. Kang, Dongwon Lee
This paper introduces TSIM, a two-stage imputation method for GWAS that harmonizes heterogeneous genotyping data, controlling errors and replicating known associations without false positives.
medRxiv · Apr 19, 2024 · PreprintGenetic & Genomic Medicine
Tissue-specific and tissue-agnostic effects of genome sequence variation modulating blood pressure
Dongwon Lee, Seong Kyu Han, Or Yaacov, Hanna Berk-Rauch, Prabhu Mathiyalagan, Santhi K. Ganesh, Aravinda Chakravarti
The paper identifies tissue-specific regulatory variants influencing blood pressure heritability using GWAS and gene expression data.
Cell Reports · Nov 1, 2023Peer-reviewedGenetics
Mapping genomic regulation of kidney disease and traits through high-resolution and interpretable eQTLs
Seong Kyu Han, Michelle T. McNulty, Christopher J. Benway, Pei Wen, Anya Greenberg, Ana C. Onuchic-Whitford, Nephrotic Syndrome Study Network (NEPTUNE), Dongkeun Jang, Jason A. Flannick, Noël P. Burtt, Parker C. Wilson, Benjamin D. Humphreys, Xiaoquan Wen, Zhe Han, Dongwon Lee, Matthew Gordon Sampson
The paper identifies high-resolution eQTLs in kidney tissues using Bayesian fine mapping with integrative priors, improving resolution and functional relevance.
Nature Communications · Apr 19, 2023Peer-reviewedGenomics
Antisense oligonucleotide therapy rescues disturbed brain rhythms and sleep in juvenile and adult mouse models of Angelman syndrome
Dongwon Lee, Wu Chen, Heet Naresh Kaku, Xinming Zhuo, Eugene S. Chao, Armand Soriano, Allen Kuncheria, Stephanie Flores, Joo Hyun Kim, Armando M Rivera, Frank Rigo, Paymaan Jafar‐Nejad, Arthur L. Beaudet, Matthew S. Caudill, Mingshan Xue
This study shows that reducing Ube3a-ATS with antisense oligonucleotides rescues EEG rhythms and sleep in Angelman syndrome mouse models, suggesting a broader therapeutic window than previously believed.
eLife · Jan 3, 2023Peer-reviewedNeuroscience
Quality assessment and refinement of chromatin accessibility data using a sequence-based predictive model
Seong Kyu Han, Yoshiharu Muto, Parker C. Wilson, Benjamin D. Humphreys, Matthew Gordon Sampson, Aravinda Chakravarti, Dongwon Lee
The paper introduces gkmQC, a sequence-based model to assess and refine chromatin accessibility data quality, improving peak calling and regulatory element alignment.
Proceedings of the National Academy of Sciences · Dec 12, 2022Peer-reviewedGenomics
Sequence-based correction of barcode bias in massively parallel reporter assays
Dongwon Lee, Ashish Kapoor, Changhee Lee, Michael Mudgett, M Beer, Aravinda Chakravarti
This paper introduces a sequence-based method to correct barcode bias in MPRA experiments, improving detection of functional regulatory variants and capturing post-transcriptional regulatory features.
Genome Research · Sep 1, 2021Peer-reviewedBioinformatics
Analysis of putative cis-regulatory elements regulating blood pressure variation
Priyanka Nandakumar, Dongwon Lee, Thomas J. Hoffmann, Georg Ehret, Dan E. Arking, Dilrini K. Ranatunga, Man Li, Megan L. Grove, Eric Boerwinkle, Catherine A. Schaefer, Pui–Yan Kwok, Carlos Iribarren, NEIL J. RISCH, Aravinda Chakravarti
The paper identifies putative cis-regulatory elements associated with blood pressure traits using open chromatin and gene expression data, and identifies several candidate genes for further functional testing.
Human Molecular Genetics · May 16, 2020Peer-reviewedGenomics