Hyeok Sun Choi

Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries

Alicia Huerta‐Chagoya, Joohyun Kim, Ravi Mandla, Yingchang Lu et autres

BACKGROUND: Polygenic risk scores (PRSs) improve prediction of the development of type 2 diabetes over the use of clinical risk factors alone; however, they perform poorly in populations of non-European ancestry, limiting their global clinical utility. We aimed to deliver comprehensive and …

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A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids

Véronique Vitart, Stefan Weiß, Jeanette Erdmann, Kristian Hveem et autres

us (code pays fourni par la source)

Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Victor Lim, Donald W. Bowden, Ko Willems van Dijk, Lars Lind et autres

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Author Correction: The power of genetic diversity in genome-wide association studies of lipids

Jirong Long, Ketian Yu, Alaitz Poveda, Shweta Ramdas et autres

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The power of genetic diversity in genome-wide association studies of lipids

Jette Bork‐Jensen, Joel N. Hirschhorn, Zoltán Kutalik, Sanni Ruotsalainen et autres

us (code pays fourni par la source)

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

Ken Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, Henry J. Taylor et autres

Abstract Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes 1,2 and molecular mechanisms that are often specific to cell type 3,4 . Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate …

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Author Correction: The power of genetic diversity in genome-wide association studies of lipids

Sarah E. Graham, Shoa L. Clarke, Kuan-Han H. Wu, Stavroula Kanoni et autres

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Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications

Ken Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, Henry J. Taylor et autres

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7% non-European ancestry), including 428,452 T2D cases. …

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Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Stavroula Kanoni, Sarah E. Graham, Yuxuan Wang, Ida L. Surakka et autres

BACKGROUND: Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. …

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A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids

Shweta Ramdas, Jonathan Judd, Sarah E. Graham, Stavroula Kanoni et autres

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Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Anubha Mahajan, Cassandra Nichole Spracklen, Weihua Zhang, Maggie C. Y. Ng et autres

), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with >50% posterior probability. …

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Implicating genes, pleiotropy and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Stavroula Kanoni, Sarah E. Graham, Yuxuan Wang, Ida L. Surakka et autres

ABSTRACT Genetic variants within nearly 1,000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. …

gb, us, de, is, kr, jp, no, fi, pk, qa, Afrique du Sud, se, nl, cn, sg, dk, tw, es, it (code pays fourni par la source)