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Chamlee Cho

As seen in: Nature
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Articles

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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Large-scale cross-ancestry genome-wide meta-analysis of serum urate - Nature Communications

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By Chamlee Cho, Beomsu Kim, Mi Yeong Hwang, Injeong Shim, Yeong Chan Lee, Sang-Hyuk Jung, Sung Kweon Cho, Woojae Myung, Ron Do, Tony R Merriman, young kim
| Nature Verified
Abstract Hyperuricemia is an essential causal risk factor for gout and is associated with cardiometabolic diseases. Given the limited contribution of East Asian ancestry to genome-wide association studies of serum urate, the genetic architecture of serum urate requires exploration. A large-scale cross-ancestry genome-wide association meta-analysis of 1,029,323 individuals and ancestry-specific meta-analysis identifies a total of 351 loci, including 17 previously unreported loci.
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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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