Article in Genomics, proteomics & bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.
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
30 authors.
Xingmin WangInnovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0002-0839-5647
Qianqian ZhangInnovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0003-1624-036X
Xianming ChenInnovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.ORCID 0009-0004-2151-2328
Yushan HuangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.ORCID 0000-0001-8700-620X
Wei ZhangInnovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.ORCID 0009-0006-1586-8955
Liuhua LiaoDepartment of Pediatrics, Huizhou Central People's Hospital, Huizhou 516001, China.ORCID 0000-0002-2869-3705
Xinhua ZhangDepartment of Hematology, 923(rd) Hospital of the People's Liberation Army, Nanning 530021, China.ORCID 0000-0003-4470-2410
Binbin HuangDepartment 1 of Internal Medicine, Sixth People's Hospital of Nanning, Nanning 530022, China.ORCID 0009-0000-6236-393X
Yueyan HuangDepartment of Pediatrics, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise 533000, China.ORCID 0000-0003-4489-4942
Yuhua YeInnovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0002-8037-2175
Mengyang SongInnovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.ORCID 0009-0005-7034-8824
Juanjuan ChenDepartment of Pediatrics, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, China.ORCID 0009-0006-6267-3536
Xiaoqin FengDepartment of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0003-1166-0138
Zhixiang LiuDepartment of Health Care, Heyuan Maternal and Child Health Care Hospital, Heyuan 517000, China.ORCID 0009-0009-7038-8905
Weijian ZhuDepartment of Hematology and Oncology, Zhuhai People's Hospital, The Third Affiliated Hospital, Jinan University Medical College, Zhuhai 519000, China.ORCID 0000-0002-2120-5860
Lian YuDepartment of Hematology and Rheumatology, Longyan First Hospital, Affiliated to Fujian Medical University, Longyan 364000, China.ORCID 0009-0005-1807-3827
Chengwu FanDepartment of pediatrics, Second People's Hospital of Guilin, Guilin 541001, China.ORCID 0009-0002-1549-5037
Deguo TangMaternal and Child Health Hospital of Yongzhou, Yongzhou 425000, China.ORCID 0009-0002-0433-0712
Tianyu ZhongDepartment of Clinical Laboratory, The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China.ORCID 0000-0003-1934-0032
Chao NiuInnovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.ORCID 0009-0007-1302-9127
Li HuangInnovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.ORCID 0009-0009-1320-0996
Bin LinGuangzhou Huayin Healthcare Group Co., Ltd., Guangzhou 510663, China.ORCID 0009-0004-4089-9951
Zilin LiSchool of Mathematics and Statistics and KLAS, Northeast Normal University, Changchun 130024, China.ORCID 0000-0003-1521-8945
Xiangmin XuInnovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0002-8652-1194
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Platelets act as a crucial indicator for monitoring hypercoagulability and thrombosis and a key target for pharmacological intervention. Genotype-phenotype association studies have confirmed that platelet traits are quantitatively regulated by multiple genes. However, there is currently a lack of genetic studies on the heterogeneity of platelet traits in β-thalassemia under a hypercoagulable state. Here, we studied the phenotypic heterogeneity of platelet count (PLT) and mean platelet volume (MPV) in a cohort of 1020 β-thalassemia patients. We further performed a functionally informed whole-genome sequencing (WGS) association analysis of common variants and rare variants for PLT and MPV in 916 patients through integrative analysis of WGS data and functional annotation data. Extreme phenotypic heterogeneity of platelet traits was observed in β-thalassemia patients. Additionally, the common variant-based gene-level analysis identified RNF144B as a novel gene associated with MPV. The rare variant analysis identified several novel associations in both coding and noncoding regions, including missense rare variants of PPP2R5C associated with PLT and missense rare variants of TSSK1B associated with MPV. In conclusion, this comprehensive and systematic whole-genome scan of platelet traits in the β-thalassemia cohort reveals the specific genetic regulation of platelet traits in the context of β-thalassemia, providing potential targets for intervention.
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.
Whole-genome Sequencing Association Analysis of Quantitative Platelet Traits in A Large Cohort of β-thalassemia. · full record | OpenQuestion