Causal role of genetically predicted 731 immune cell phenotypes in chronic lymphatic leukemia: A bidirectional Mendelian randomization study

IF 2.1 4区 医学 Q3 HEMATOLOGY Leukemia research Pub Date : 2024-11-09 DOI:10.1016/j.leukres.2024.107621
Suying Qian, Jiali Gong, Xiu Shen, Mengjie Chen, Yiquan Cheng, Jingwen Zhu, Mengmeng Huang, Zhilong Shi, Gangfeng Xiao, Keyue Hu, Kesang Li
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Abstract

Introduction

The direct causal relationship between these anomalies and chronic lymphatic leukemia (CLL) remains ambiguous. This study sought to investigate the potential causal link between immune cells and CLL.

Materials and methods

The summary data for genome-wide association studies utilized in this research were sourced from various publicly accessible databases, including the GWAS and FinnGen databases. By amalgamating these extensive genetic resources, we applied an array of cutting-edge Mendelian randomization (MR) analytical techniques. Specifically, we employed the inverse variance weighting (IVW) method, the weighted median method, the MR-Egger method, the Cochran Q test, Leave-One-Out sensitivity analysis, and the weighted model method to rigorously evaluate the potential causal link between multiple immune cell phenotypes and CLL.

Results

IVW analyses consistently demonstrated significant causal associations between five groups of immune cells and CLL. These associations were observed in both forward MR analyses from immune cells to CLL, and reverse MR analyses from CLL to immune cells. The five groups of immune cells under investigation included CD14+ CD16- monocyte Absolute Count, CD4+CD8+ T cell Absolute Count, BAFF-R on IgD- CD27- B cell, HLA DR+ T cell Absolute Count, and CD4+ T cell Absolute Count. Further sensitivity analyses not only confirmed the consistency in the direction of the association but also ruled out potential heterogeneity and horizontal pleiotropy effects. This enhanced the robustness and reliability of the study findings.

Conclusion

This investigation discerned definitive causal links between five immune cell phenotypes and CLL, underscoring the pivotal role of immune cells in the pathogenesis of this disease.
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基因预测的 731 种免疫细胞表型在慢性淋巴白血病中的因果作用:一项双向孟德尔随机化研究。
导言:免疫细胞异常与慢性淋巴性白血病(CLL)之间的直接因果关系仍不明确。本研究试图调查免疫细胞与 CLL 之间的潜在因果关系:本研究使用的全基因组关联研究的摘要数据来自各种可公开访问的数据库,包括 GWAS 和 FinnGen 数据库。通过整合这些广泛的基因资源,我们应用了一系列尖端的孟德尔随机化(MR)分析技术。具体来说,我们采用了反方差加权(IVW)法、加权中位数法、MR-Egger 法、Cochran Q 检验、留空敏感性分析和加权模型法,以严格评估多种免疫细胞表型与 CLL 之间的潜在因果联系:IVW分析一致表明,五组免疫细胞与CLL之间存在显著的因果关系。从免疫细胞到 CLL 的正向 MR 分析和从 CLL 到免疫细胞的反向 MR 分析都观察到了这些关联。研究的五组免疫细胞包括 CD14+ CD16- 单核细胞绝对计数、CD4+CD8+ T 细胞绝对计数、IgD- CD27- B 细胞上的 BAFF-R、HLA DR+ T 细胞绝对计数和 CD4+ T 细胞绝对计数。进一步的敏感性分析不仅证实了关联方向的一致性,还排除了潜在的异质性和水平褶积效应。这增强了研究结果的稳健性和可靠性:这项研究发现了五种免疫细胞表型与 CLL 之间的明确因果关系,强调了免疫细胞在该疾病发病机制中的关键作用。
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来源期刊
Leukemia research
Leukemia research 医学-血液学
CiteScore
4.00
自引率
3.70%
发文量
259
审稿时长
1 months
期刊介绍: Leukemia Research an international journal which brings comprehensive and current information to all health care professionals involved in basic and applied clinical research in hematological malignancies. The editors encourage the submission of articles relevant to hematological malignancies. The Journal scope includes reporting studies of cellular and molecular biology, genetics, immunology, epidemiology, clinical evaluation, and therapy of these diseases.
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