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Identification of potential genetic Loci and polygenic risk model for Budd-Chiari syndrome in Chinese population.


ABSTRACT: Budd-Chiari syndrome (BCS) is characterized by hepatic venous outflow obstruction, posing life-threatening risks in severe cases. Reported risk factors include inherited and acquired hypercoagulable states or other predisposing factors. However, many patients have no identifiable etiology, and causes of BCS differ between the West and East. This study recruited 500 BCS patients and 696 normal individuals for whole-exome sequencing and developed a polygenic risk scoring (PRS) model using PLINK, LASSOSUM, BLUP, and BayesA methods. Risk factors for venous thromboembolism and vascular malformations were also assessed for BCS risk prediction. Ultimately, we discovered potential BCS risk mutations, such as rs1042331, and the optimal BayesA-generated PRS model presented an AUC >0.9 in the external replication cohort. This model provides particular insights into genetic risk differences between China and the West and suggests shared genetic risks among BCS, venous thromboembolism, and vascular malformations, offering different perspectives on BCS pathogenesis.

SUBMITTER: Hu X 

PROVIDER: S-EPMC10393737 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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Identification of potential genetic Loci and polygenic risk model for Budd-Chiari syndrome in Chinese population.

Hu Xiaojun X   Jiang Xiaosen X   Li Jia J   Zhao Ni N   Gan Hairun H   Hu Xinyan X   Li Luting L   Liu Xingtao X   Shan Hong H   Bai Yong Y   Pang Pengfei P  

iScience 20230711 8


Budd-Chiari syndrome (BCS) is characterized by hepatic venous outflow obstruction, posing life-threatening risks in severe cases. Reported risk factors include inherited and acquired hypercoagulable states or other predisposing factors. However, many patients have no identifiable etiology, and causes of BCS differ between the West and East. This study recruited 500 BCS patients and 696 normal individuals for whole-exome sequencing and developed a polygenic risk scoring (PRS) model using PLINK, L  ...[more]

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