Soojin Cha

Research Professor

Hanyang University

South Korea

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About

Soojin Cha is a Research Professor at Hanyang University in South Korea. Her research encompasses various areas including cancer genetics, cardiovascular disease, and autoimmune conditions. She has authored recent articles on topics such as the genetic architecture of occupational creativity and the use of machine learning in cancer detection. Her work integrates genetic insights to explore the relationship between health outcomes and socio-environmental factors.

Articles (13)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2021

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2020

Collaborators (7)

Dokyoon Kim

Assistant Professor

University of Pennsylvania

UNITED STATES

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Esak Lee

Assistant Professor

Cornell University

UNITED STATES

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Beomsu Kim

Sungkyunkwan University

SOUTH KOREA

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Hyewon Lee

Professor (Assistant)

Soonchunhyang University

SOUTH KOREA

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Ron Do

Associate Professor

Icahn School of Medicine at Mount Sinai

UNITED STATES

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Hyunwoong Ko

Seoul National University School of Dentistry

SOUTH KOREA

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Hong-Hee Won

Professor

Sungkyunkwan University

SOUTH KOREA

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Soojin Cha

Research Interests

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About

Articles (13)

Association between genetically predicted leisure and social activities and cardiovascular disease and other health outcomes

Germline genetic scores associated with cancer gene expression and immune responses across multiple cancer types

Genetic burden of lupus increases the risk of transition from normal to preclinical autoimmune conditions via antinuclear antibody development

Polygenic risk score-based phenome-wide association study of head and neck cancer across two large biobanks

Association of HLA-DRB1 locus with treatment response to abatacept or TNF inhibitors in patients with seropositive rheumatoid arthritis

Genome-wide association analyses using machine learning-based phenotyping reveal genetic architecture of occupational creativity and overlap with psychiatric disorders

LINC02257 regulates malignant phenotypes of colorectal cancer via interacting with miR-1273g-3p and YB1

Machine learning model for circulating tumor DNA detection in chronic obstructive pulmonary disease patients with lung cancer

Leveraging genetic overlap between irritability and psychiatric disorders to identify genetic variants of major psychiatric disorders

Genome-wide association study of occupational attainment as a proxy for cognitive reserve

Shared genetic architectures of subjective well-being in East Asian and European ancestry populations

Comprehensive characterization of distinct genetic alterations in metastatic breast cancer across various metastatic sites.

A newly developed capture-based sequencing panel for genomic assay of lung cancer.

Collaborators (7)

Dokyoon Kim

Esak Lee

Beomsu Kim

Hyewon Lee

Ron Do

Hyunwoong Ko

Hong-Hee Won

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