Evidence map›Paper›PMID 37619711›Full record

ArticleJournal of vascular surgery. Venous and lymphatic disorders2024

Construction and optimization of a polygenic risk model for venous thromboembolism in the Chinese population.

Chao Liu, Jiaxuan Hou, Weiming Li, Jinxing Chen, Yane Li, Jiawei Zhang, Wei Zhou, Wei Zhang, Fenni Deng, Yu Wang and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of vascular surgery. Venous and lymphatic disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. RResearch and practice in thrombosis and haemostasis · 2025
    Review
  6. Review
  7. The Prevalence of the Thrombotic SNPs rs6025, rs1799963, rs2066865, rs2289252 and rs8176719 in Patients with Venous Thromboembolism in the Czech Population.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
  8. Application of Novel Thrombosis Scale in Fracture Related Lower Extremity Deep Venous Thrombosis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Chao LiuDepartment of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China.
Jiaxuan HouDepartment of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China.
Weiming LiDepartment of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China.
Jinxing ChenDepartment of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China.
Yane LiDepartment of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China.
Jiawei ZhangDepartment of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China.
Wei ZhouKey Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Wei ZhangXi'an Agen Medicine Technology Co, Ltd, Xi'an, People's Republic of China.
Fenni DengXi'an Agen Medicine Technology Co, Ltd, Xi'an, People's Republic of China.
Yu WangXi'an Agen Medicine Technology Co, Ltd, Xi'an, People's Republic of China.
Luan ChenKey Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Shengying QinKey Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Xiaohong MengXi'an Agen Medicine Technology Co, Ltd, Xi'an, People's Republic of China.
Shaoying LuDepartment of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China. Electronic address: robertlu@mail.xjtu.edu.cn.
Xi'an Jiaotong University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVenous thromboembolism (VTE) has both environmental and genetic risk factors. It is regulated by polygenes and multisites. The polygenic risk score (PRS) has been widely used because any single genetic biomarker failed to accurately predict the genetic risk of VTE. However, no polygenic risk model has been proposed for VTE in the Chinese population. Thus, we aimed to construct a PRS model for the first episode of VTE in the Chinese population.

methodsFirst, single nucleotide polymorphisms (SNPs) associated with VTE in genome-wide association studies, meta-analyses, and candidate gene studies were screened as variables for the PRS. The logarithm of the odds ratio was used to weight the variables. Second, a training set with simulated data from 1000 cases of VTE and 1000 controls was created with different genotypes and frequencies. Finally, we calculated the area under the receiver operating characteristic curve (AUC) to evaluate the discriminatory ability of the PRS model.

resultsWe screened 53 SNPs potentially associated with the first episode of VTE in the Chinese population. The AUC of the PRS-53 model (containing 53 SNPs) was 0.748 (95% confidence interval, 0.727-0.770) in the training set. From the largest weight to the smallest weight, SNPs were incrementally added to the model to calculate the AUC for model optimization. The AUC of the PRS-10 model (containing 10 SNPs) was 0.718 (95% confidence interval, 0.696-0.740), with no statistically significant difference from the AUC for the PRS-53 model.

conclusionsThe PRS-10 and PRS-53 models showed similar predictive abilities and satisfactory discriminatory power and can be used to predict the genetic risk of the first episode of VTE in the Chinese population. The simplified PRS-10 model is more efficient in clinical practice.

Indexed as

Venous ThromboembolismChinaGenetic Predisposition to DiseaseGenetic Risk ScoreGenome-Wide Association StudyHumansRisk FactorsComplex multifactorial diseasePolygenic risk scoreVenous thromboembolism

Identifiers

PMID37619711
PMCPMC11523315
OpenAlexW4386067401

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.