Causal inference between pernicious anemia and cancers: a bidirectional two-sample mendelian randomization analysis

Author:

Che Bangwei,Yuan Shenglan,Zhang Hongyan,Zhai Jiancheng,Zhang Yang,Wu Chuanchuan,Tang Kaifa

Abstract

Abstract Background Observational study investigated the association between pernicious anemia (PA) and cancers. However, with the exception of gastric cancer, the results are mostly contradictory. The purpose of this study was to investigate the potential causal relationship between PA and cancers through bidirectional two-sample Mendelian randomized (MR) analysis. Methods The European sample FinnGen project provided the genetic summary data for PA and 20 site-specific cancers. This bidirectional two-sample MR design mainly used the inverse variance weighting (IVW) method to evaluate the causal relationship between PA and cancer risk. Benjamini-Hochberg correction was performed to reduce the bias caused by multiple tests. Results Our study shows that there was a causal relationship between PA and gastric cancer, prostate cancer, testicular cancer and malignant melanoma of skin, and there was a reverse causal relationship between prostate cancer or gastric cancer and PA (P < 0.05). After Benjamini-Hochberg correction test, there was still a causal correlation between PA and gastric or prostate cancer (P’ < 0.05), while there was only an implied causal association between PA and testicular cancer and malignant melanoma of skin (P’> 0.05). There was still a reverse causal relationship between gastric cancer and PA (P‘< 0.05), while prostate cancer shows an implied reverse causal relationship(P’> 0.05). In addition, MR-Egger and MR-PRESSO tests showed no significant horizontal pleiotropy. Conclusions PA may be genetically associated with testicular cancer, prostate cancer, gastric cancer, and malignant melanoma of skin.

Funder

the High-level Talent Project of the First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine

Publisher

Springer Science and Business Media LLC

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