| Publication Information (EuropePMC) | |
| Title | Genome-wide association analyses identified novel susceptibility loci for pulmonary embolism among Han Chinese population. |
| PubMed ID | 37076872(Europe PMC) |
| doi | 10.1186/s12916-023-02844-4 |
| Publication Date | April 19, 2023 |
| Journal | BMC Med |
| Author(s) | Zhang Z, Li H, Weng H, Zhou G, Chen H, Yang G, Zhang P, Zhang X, Ji Y, Ying K, Liu B, Xu Q, Tang Y, ... Zhu G, Liu Z, Xia S, Yang X, Dong L, Zhu L, Zeng M, Yuan Y, Yang Y, Zhang N, Xu X, Pang W, Zhang M, Zhang Y, Zhen K, Wang D, Lei J, Wu S, Shu S, Zhang Y, Zhang S, Gao Q, Huang Q, Deng C, Fu X, Chen G, Duan W, Wan J, Xie W, Zhang P, Wang S, Yang P, Zuo X, Zhai Z, Wang C, China pUlmonary Thromboembolism REgistry Study (CURES) investigators.Show more |
Polygenic Score ID & Name
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PGS Publication ID (PGP)
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Reported Trait
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Mapped Trait(s) (Ontology)
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Number of Variants
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Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link)
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|---|---|---|---|---|---|---|
| PGS003861 (PRS288_PE) | PGP000499 | Zhang Z et al. BMC Med (2023) | Pulmonary embolism | pulmonary embolism | 288 | - | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003861/ScoringFiles/PGS003861.txt.gz |
PGS Performance Metric ID (PPM) |
Evaluated Score
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PGS Sample Set ID (PSS) |
Performance Source
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Trait
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PGS Effect Sizes (per SD change) |
Classification Metrics
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Other Metrics
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Covariates Included in the Model
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PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM018751 | PGS003861 (PRS288_PE) | PSS011090| East Asian Ancestry| 9,456 individuals | PGP000499 | Zhang Z et al. BMC Med (2023) | Reported Trait: Pulmonary embolism | — | AUROC: 0.765 | Odds ratio (OR, 30-70th quantile vs <90th quantile): 5.08 [4.109, 6.282] | — | — |
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods
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Participant Follow-up Time
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Sample Numbers
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Age of Study Participants
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Sample Ancestry
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Additional Ancestry Description
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Cohort(s)
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Additional Sample/Cohort Information
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|---|---|---|---|---|---|---|---|---|
| PSS011090 | — | — | [ ,
46.34 % Male samples | — | East Asian (Han Chinese) | — | CURES_China | — |