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Yeeun Ahn

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Articles

Polygenic overlap between subjective well-being and psychiatric disorders and cross-ancestry validation - Nature Human Behaviour

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By Jin Young Jung, Yeeun Ahn, Jung-Wook Park, Soyeon Kim, Sang-Hyuk Jung, Beomsu Kim, Mi Yeong Hwang, Aysu Okbay, Kevin O’Connell, Ole A. Andreassen
| Nature Verified
Abstract Subjective well-being (SWB) is important for understanding human behaviour and health. Although the connection between SWB and psychiatric disorders has been studied, common genetic mechanisms remain unclear. This study aimed to explore the genetic relationship between SWB and psychiatric disorders.
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Multivariate genomic analysis of 5 million people elucidates the genetic architecture of shared components of the metabolic syndrome - Nature Genetics

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By Soyeon Kim, Jaeyoung Kim, Yeeun Ahn, Injeong Shim, Chamlee Cho, Patrick T. Ellinor, Ali Torkamani, Woojae Myung
| Nature Verified
Abstract Metabolic syndrome (MetS) is a complex hereditary condition comprising various metabolic traits as risk factors. Although the genetics of individual MetS components have been investigated actively through large-scale genome-wide association studies, the conjoint genetic architecture has not been fully elucidated. Here, we performed the largest multivariate genome-wide association study of MetS in Europe (nobserved = 4,947,860) by leveraging genetic correlation between MetS components.
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Shared genetic architectures of educational attainment in East Asian and European populations - Nature Human Behaviour

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By Tzu-Ting Chen, Jaeyoung Kim, Max Lam, Sang-Hyuk Jung, Soyeon Kim, Injeong Shim, Sanghyeon Park, Yeeun Ahn, Aysu Okbay, Hailiang Huang, Yen-Chen Anne Feng, Yen-Feng Lin, Woojae Myung, Chia-Yen Chen, Chamlee Cho
| Nature Verified
Abstract Educational attainment (EduYears), a heritable trait often used as a proxy for cognitive ability, is associated with various health and social outcomes. Previous genome-wide association studies (GWASs) on EduYears have been focused on samples of European (EUR) genetic ancestries. Here we present the first large-scale GWAS of EduYears in people of East Asian (EAS) ancestry (n = 176,400) and conduct a cross-ancestry meta-analysis with EduYears GWAS in people of EUR ancestry (n = 766,345).
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