Publications by authors named "HK Im"

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Mitigating inconsistencies in GWAS follow-up analyses with LocusCompare2.
Fei Liu, Junbin Gao, Yi Lin, Haiyue Meng, Wei Wang, Hae Kyung Im

Nat Genet· November 2025

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Transcriptomic Profiling of Long COVID-19 in Patients with Interstitial Lung Disease Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation.
Katherine A Aracena, Grace C Nwankwo, Cathryn T Lee, Rasika Karnik, Iazsmin Ventura, Hae Kyung Im

Am J Respir Cell Mol Biol· October 2025

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Multi-Trait Polygenic Scores for COPD and COPD Exacerbations Implicate Druggable Proteins.
Chengyue Zhang, Iain R Konigsberg, Yixuan He, Jingzhou Zhang, Tinashe Chikowore, Hae Kyung Im

medRxiv· August 2025

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BrainXcan identifies brain features associated with behavioral and psychiatric traits using large-scale genetic and imaging data.
Yanyu Liang, Festus Nyasimi, Owen Melia, Timothy J Carroll, Thomas Brettin, Hae Kyung Im

Dev Cogn Neurosci· June 2025

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scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework.
Yichao Zhou, Temidayo Adeluwa, Lisha Zhu, Sofia Salazar-Magaña, Sarah Sumner, Hyunki Kim, Festus Nyasimi, Hae Kyung Im

Cell Genom· May 2025

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Meet the author: Hae Kyung Im.
Hae Kyung Im

Cell Genom· May 2025

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The Farm Animal Genotype-Tissue Expression (FarmGTEx) Project.
Lingzhao Fang, Jinyan Teng, Qing Lin, Zhonghao Bai, Shuli Liu, Seyoung Kim, Hae Kyung Im

Nat Genet· April 2025

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scPrediXcan integrates advances in deep learning and single-cell data into a powerful cell-type-specific transcriptome-wide association study framework.
Yichao Zhou, Temidayo Adeluwa, Lisha Zhu, Sofia Salazar-Magaña, Sarah Sumner, Hyunki Kim, Festus Nyasimi, Hae Kyung Im

bioRxiv· March 2025

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RatXcan: A framework for cross-species integration of genome-wide association and gene expression data.
Natasha Santhanam, Sandra Sanchez-Roige, Sabrina Mi, Yanyu Liang, Apurva S Chitre, Festus Nyasimi, Hae Kyung Im

PLoS Genet· March 2025

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Multi-INTACT: integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits.
Jeffrey Okamoto, Xianyong Yin, Brady Ryan, Joshua Chiou, Francesca Luca, Hae Kyung Im

Genome Biol· February 2025

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Pervasive polygenicity of complex traits inflates false positive rates in transcriptome-wide association studies.
Yanyu Liang, Festus Nyasimi, Hae Kyung Im

bioRxiv· November 2024

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A multi-tissue, splicing-based joint transcriptome-wide association study identifies susceptibility genes for breast cancer.
Guimin Gao, Julian McClellan, Alvaro N Barbeira, Peter N Fiorica, James L Li, Hae Kyung Im

Am J Hum Genet· June 2024

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Transcriptome-wide association study of the plasma proteome reveals cis and trans regulatory mechanisms underlying complex traits.
Henry Wittich, Kristin Ardlie, Kent D Taylor, Peter Durda, Yongmei Liu, Hae Kyung Im

Am J Hum Genet· March 2024

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Revealing polygenic pleiotropy using genetic risk scores for asthma.
Matthew Dapas, Yu Lin Lee, William Wentworth-Sheilds, Hae Kyung Im, Carole Ober

HGG Adv· October 2023

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Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations.
Daniel S Araujo, Chris Nguyen, Xiaowei Hu, Anna V Mikhaylova, Chris Gignoux, Hae Kyung Im

HGG Adv· October 2023

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Predicted Proteome Association Studies of Breast, Prostate, Ovarian, and Endometrial Cancers Implicate Plasma Protein Regulation in Cancer Susceptibility.
Isabelle Gregga, Paul D P Pharoah, Simon A Gayther, Ani Manichaikul, Hae Kyung Im

Cancer Epidemiol Biomarkers Prev· September 2023

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Predicting molecular mechanisms of hereditary diseases by using their tissue-selective manifestation.
Eyal Simonovsky, Moran Sharon, Maya Ziv, Omry Mauer, Idan Hekselman, Hae Kyung Im

Mol Syst Biol· August 2023

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Author Correction: The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci.
Gengjie Jia, Yu Li, Xue Zhong, Kanix Wang, Milton Pividori, Hae Kyung Im

Nat Comput Sci· July 2023

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A joint transcriptome-wide association study across multiple tissues identifies candidate breast cancer susceptibility genes.
Guimin Gao, Peter N Fiorica, Julian McClellan, Alvaro N Barbeira, James L Li, Hae Kyung Im

Am J Hum Genet· June 2023

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Multivariate adaptive shrinkage improves cross-population transcriptome prediction for transcriptome-wide association studies in underrepresented populations.
Daniel S Araujo, Chris Nguyen, Xiaowei Hu, Anna V Mikhaylova, Chris Gignoux, Hae Kyung Im

bioRxiv· May 2023

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The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci.
Gengjie Jia, Yu Li, Xue Zhong, Kanix Wang, Milton Pividori, Hae Kyung Im

Nat Comput Sci· May 2023

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Probabilistic integration of transcriptome-wide association studies and colocalization analysis identifies key molecular pathways of complex traits.
Jeffrey Okamoto, Lijia Wang, Xianyong Yin, Francesca Luca, Roger Pique-Regi, Hae Kyung Im

Am J Hum Genet· January 2023

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Discerning asthma endotypes through comorbidity mapping.
Gengjie Jia, Xue Zhong, Hae Kyung Im, Nathan Schoettler, Milton Pividori

Nat Commun· November 2022

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Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program.
Xiaowei Hu, Dandi Qiao, Wonji Kim, Matthew Moll, Pallavi P Balte, Timothy A Thornton, Hae Kyung Im

Am J Hum Genet· May 2022

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Fine-mapping studies distinguish genetic risks for childhood- and adult-onset asthma in the HLA region.
Selene M Clay, Nathan Schoettler, Andrew M Goldstein, Peter Carbonetto, Matthew Dapas, Hae Kyung Im

Genome Med· May 2022

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