TY - GEN
T1 - Unexpected Discovery
T2 - International Conference on Image, Vision and Intelligent Systems, ICIVIS 2024
AU - Cai, Yong De
AU - Zhou, Hong Da
AU - Xie, Eng Xin
AU - Zhang, Jian Fang
AU - Tan, Tao
AU - Xie, Hui
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - To investigate the potential correlation between rheumatoid arthritis (RA) and the predisposition to Hodgkin’s lymphoma (HL), we conducted a comprehensive analysis leveraging Mendelian randomization (MR) techniques and genome-wide association studies (GWAS) data. The study focused on the European population, utilizing comprehensive genome sequences from individuals with RA and malignant lymphoma. To identify single nucleotide polymorphisms (SNPs) strongly associated with RA in the European cohort, we employed the inverse variance weighted (IVW) analysis as a robust genetic tool. Furthermore, we utilized various analytical methods, including IVW, weighted median analysis, weighted mode, and MR-Egger regression, to delve into the potential association between RA and the risk of malignant lymphoma in this population. Our findings, obtained through rigorous statistical analysis, revealed a significant causal relationship. Specifically, the IVW analysis (OR = 0.789, 95% CI: 0.6588–0.946, P = 0.009), weighted median analysis (OR = 0.725, 95% CI: 0.607–0.864, P = 0.0001), and weighted mode analysis (OR = 0.709, 95% CI: 0.600–0.838, P = 0.002) consistently indicated that RA decreases the risk of developing malignant lymphoma. Importantly, our results did not indicate any evidence of horizontal pleiotropy (Egger intercept = 0.04, P = 0.576) or heterogeneity (P = 0.056), suggesting the robustness and reliability of our findings. Further sensitivity analysis and statistical evaluations did not yield any notable exceptions or deviations from our initial conclusions. In summary, our study provides compelling evidence that, in the European population, rheumatoid arthritis may serve as a protective factor, reducing the risk of developing Hodgkin’s lymphoma.
AB - To investigate the potential correlation between rheumatoid arthritis (RA) and the predisposition to Hodgkin’s lymphoma (HL), we conducted a comprehensive analysis leveraging Mendelian randomization (MR) techniques and genome-wide association studies (GWAS) data. The study focused on the European population, utilizing comprehensive genome sequences from individuals with RA and malignant lymphoma. To identify single nucleotide polymorphisms (SNPs) strongly associated with RA in the European cohort, we employed the inverse variance weighted (IVW) analysis as a robust genetic tool. Furthermore, we utilized various analytical methods, including IVW, weighted median analysis, weighted mode, and MR-Egger regression, to delve into the potential association between RA and the risk of malignant lymphoma in this population. Our findings, obtained through rigorous statistical analysis, revealed a significant causal relationship. Specifically, the IVW analysis (OR = 0.789, 95% CI: 0.6588–0.946, P = 0.009), weighted median analysis (OR = 0.725, 95% CI: 0.607–0.864, P = 0.0001), and weighted mode analysis (OR = 0.709, 95% CI: 0.600–0.838, P = 0.002) consistently indicated that RA decreases the risk of developing malignant lymphoma. Importantly, our results did not indicate any evidence of horizontal pleiotropy (Egger intercept = 0.04, P = 0.576) or heterogeneity (P = 0.056), suggesting the robustness and reliability of our findings. Further sensitivity analysis and statistical evaluations did not yield any notable exceptions or deviations from our initial conclusions. In summary, our study provides compelling evidence that, in the European population, rheumatoid arthritis may serve as a protective factor, reducing the risk of developing Hodgkin’s lymphoma.
KW - Causal relationship
KW - Hodgkin’s lymphoma
KW - Mendelian randomization
KW - Rheumatoid arthritis
UR - http://www.scopus.com/inward/record.url?scp=105006926333&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-2528-4_22
DO - 10.1007/978-981-96-2528-4_22
M3 - Conference contribution
AN - SCOPUS:105006926333
SN - 9789819625277
T3 - Lecture Notes in Electrical Engineering
SP - 267
EP - 285
BT - Proceedings of International Conference on Image, Vision and Intelligent Systems, ICIVIS 2024 - Volume II
A2 - You, Peng
A2 - Zheng, Yuhui
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 16 June 2024 through 17 June 2024
ER -