{"title":"Mosaic loss of chromosome Y characterizes late-onset rheumatoid arthritis and contrasting associations of polygenic risk score based on age at onset.","authors":"Shunsuke Uchiyama, Yuki Ishikawa, Katsunori Ikari, Suguru Honda, Keiko Hikino, Eiichi Tanaka, Yoichiro Kamatani, Takahisa Gono, Giulio Genovese, Masataka Kuwana, Chikashi Terao","doi":"10.1101/2024.09.12.24313215","DOIUrl":null,"url":null,"abstract":"Objectives: mosaic chromosomal alterations (mCAs) increase with age and are associated with age-related diseases. The association between mCAs and rheumatoid arthritis (RA), particularly late-onset rheumatoid arthritis (LORA), has not been explored.\nMethods: mCAs were detected in peripheral blood samples from two independent Japanese datasets (Set 1:2,107 RA cases and 86,998 controls; Set 2:2,359 RA cases and 86,998 controls). The associations between mCAs and RA were evaluated in each dataset using logistic regression models and meta-analysis. In each dataset, we evaluated the effect sizes of mosaic loss of Y (mLOY) and polygenic risk score (PRS) of RA in males and subsequently performed a meta-analysis. The interaction between mLOY and PRS was assessed. These models were applied separately to RA, LORA, and young-onset RA (YORA).\nResults: mLOY increased significantly in LORA (OR=1.43, P=0.0070). We observed a negative association between mLOY and YORA (OR=0.66, P=0.0034). On the other hand, we found consistently negative associations of autosomal mCAs or mosaic loss of X (mLOX) with RA, LORA, and YORA. The effect sizes of PRS were lower for LORA than for YORA. mLOY with a high cell fraction strengthened the association between PRS and LORA (P=0.0036), whereas the association with YORA was independent of mLOY.\nConclusion: LORA was characterised by the presence of a high burden of mLOY. The observed interaction between mLOY and PRS in LORA, but not in YORA, supports different gene-environment interactions between the subsets. These data suggest that distinct pathophysiological mechanisms underlie the development of LORA and YORA.","PeriodicalId":501212,"journal":{"name":"medRxiv - Rheumatology","volume":"20 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Rheumatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.12.24313215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: mosaic chromosomal alterations (mCAs) increase with age and are associated with age-related diseases. The association between mCAs and rheumatoid arthritis (RA), particularly late-onset rheumatoid arthritis (LORA), has not been explored.
Methods: mCAs were detected in peripheral blood samples from two independent Japanese datasets (Set 1:2,107 RA cases and 86,998 controls; Set 2:2,359 RA cases and 86,998 controls). The associations between mCAs and RA were evaluated in each dataset using logistic regression models and meta-analysis. In each dataset, we evaluated the effect sizes of mosaic loss of Y (mLOY) and polygenic risk score (PRS) of RA in males and subsequently performed a meta-analysis. The interaction between mLOY and PRS was assessed. These models were applied separately to RA, LORA, and young-onset RA (YORA).
Results: mLOY increased significantly in LORA (OR=1.43, P=0.0070). We observed a negative association between mLOY and YORA (OR=0.66, P=0.0034). On the other hand, we found consistently negative associations of autosomal mCAs or mosaic loss of X (mLOX) with RA, LORA, and YORA. The effect sizes of PRS were lower for LORA than for YORA. mLOY with a high cell fraction strengthened the association between PRS and LORA (P=0.0036), whereas the association with YORA was independent of mLOY.
Conclusion: LORA was characterised by the presence of a high burden of mLOY. The observed interaction between mLOY and PRS in LORA, but not in YORA, supports different gene-environment interactions between the subsets. These data suggest that distinct pathophysiological mechanisms underlie the development of LORA and YORA.