Response to: ‘Correspondence on ‘Systemic evaluation of the relationship between psoriasis, psoriatic arthritis and osteoporosis: observational and Mendelian randomisation study’’ by Cui et al ========================================================================================================================================================================================================= * Ke-Qi Liu * Jiangwei Xia * Qiu-Ping Chen * Jian-Qiang Yang * Hou-Feng Zheng * arthritis * psoriatic * osteoporosis * bone density We would like to thank the interests and comments from Cui *et al* 1 on our study2 entitled ‘Systemic evaluation of the relationship between psoriasis, psoriatic arthritis and osteoporosis: observational and Mendelian randomization study’. Here, we responded the comments point by point. First, the potential confounders we included were age, sex, height, weight, smoking status, drinking status, regular physical activity and mediation treatment. The selected confounders were known potentially to have effect on the outcome (bone mineral density, BMD),3 and were typically recorded in UK Biobank dataset. The mediation analysis suggested that 63% of the effect of psoriatic arthritis (PsA) on BMD were mediated by treatment with methotrexate or ciclosporin; thus, there were many other unmeasured confounders to be discovered. In addition, we excluded participants if they were diagnosed with one of the potential secondary causes of osteoporosis including multiple sclerosis, Crohn’s disease, ulcerative colitis, hyperthyroidism, lupus erythematosus and rheumatoid arthritis.2 Second, we agree that propensity score matching could be a complementary to multivariable linear/logistic regression. Here, we conducted additional propensity score matching analysis by using the ‘MatchIt’ Package in R (method =‘nearest’, ratio=1), after we obtained the matched dataset, we implemented liner regression model with the confounders in the same three ways as our previous study.2 Compared with the previous study,2 we found similar results for psoriasis and BMD (model 0, p=0.88; model 1, p=0.90; model 2, p=0.30), and for PsA and BMD (model 0, p=0.005; model 1, p=0.008; model 2, p=0.45). Third, the ciclosporin, a calcineurin inhibitor, was recommended by 2018 American College of Rheumatology/National Psoriasis Foundation guideline as oral small molecule for the treatment of PsA4; however, the European League Against Rheumatism did not recommend ciclosporin for PsA treatment.5 In our dataset, there were 121 individuals and 6 individuals who taken methotrexate and ciclosporin in 4904 psoriasis cases, respectively. There were 288 individuals and 3 individuals who taken methotrexate and ciclosporin medications in 847 psoriasis cases, respectively. On the other hand, we agree that the disease activity is an important factor affecting the use of medication,6 just like Cui *et al* 1 mentioned, methotrexate or ciclosporin were more likely prescribed to patients with high disease activity, which exactly explain that PsA cases, rather than psoriasis, was found to be associated with lower eBMD. Finally, we did consider the linkage disequilibrium in the reverse-direction mendelian randomisation (MR) analysis. By using the ‘clump_data()’ function on each chromosome in ‘TwoSampleMR’ package,7 we selected 973 single nucleotide polymorphisms (SNPs) as instrumental variables out of 1103 genome wide significant BMD SNPs,8 we chose the SNP with the lower p value if there was LD (r2 >0.05) between two significant SNPs. While we did not consider linkage disequilibrium of the instrumental variables for psoriasis (60 SNPs) and PsA (25 SNPs), just as Budu-Aggrey *et al* 9 did in their analysis. Here, when applied the ‘clump_data()’ function described above, there were one SNP rs112768831 and six SNPs (rs113633694, rs142422776, rs145699582, rs149014202, rs189254950, rs918520) removed for the psoriasis MR analysis and PsA MR analysis, respectively. Still, we found no evidence to show association of genetically increased psoriasis and PsA risk with BMD (p=0.21 and p=0.83, respectively, by using the inverse-variance weighted MR method). ## Ethics statements ### Patient consent for publication Not required. ## Footnotes * Handling editor Josef S Smolen * Contributors All authors contributed to the conception and drafting of the manuscript. All authors provided critical revision and final approval. * Funding This work was supported by the National Natural Science Foundation of China (81871831) and by the Zhejiang Provincial Natural Science Foundation for Distinguished Young Scholars of China (LR17H070001). * Competing interests None declared. * Patient and public involvement Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research. * Provenance and peer review Commissioned; internally peer reviewed. ## References 1. Cui R , Tong Q , Chen Z . Correspondence on ‘Systemic evaluation of the relationship between psoriasis, psoriatic arthritis and osteoporosis: observational and Mendelian randomisation study’. Ann Rheum Dis 2023;82:e13.[doi:10.1136/annrheumdis-2020-219173](http://dx.doi.org/10.1136/annrheumdis-2020-219173) 2. Xia J , Xie S-Y , Liu K-Q , et al . Systemic evaluation of the relationship between psoriasis, psoriatic arthritis and osteoporosis: observational and Mendelian randomisation study. Ann Rheum Dis 2020;79:1460–7.[doi:10.1136/annrheumdis-2020-217892](http://dx.doi.org/10.1136/annrheumdis-2020-217892) pmid:http://www.ncbi.nlm.nih.gov/pubmed/32737104 [Abstract/FREE Full Text](http://ard.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MTE6ImFubnJoZXVtZGlzIjtzOjU6InJlc2lkIjtzOjEwOiI3OS8xMS8xNDYwIjtzOjQ6ImF0b20iO3M6MjY6Ii9hbm5yaGV1bWRpcy84Mi8xL2UxNC5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 3. Pouresmaeili F , Kamali Dehghan B , Kamarehei M , et al . A comprehensive overview on osteoporosis and its risk factors. Ther Clin Risk Manag 2018;14:2029–49.[doi:10.2147/TCRM.S138000](http://dx.doi.org/10.2147/TCRM.S138000) [PubMed](http://ard.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fannrheumdis%2F82%2F1%2Fe14.atom) 4. Singh JA , Guyatt G , Ogdie A , et al . Special article: 2018 American College of Rheumatology/National psoriasis Foundation guideline for the treatment of psoriatic arthritis. Arthritis Rheumatol 2019;71:5–32.[doi:10.1002/art.40726](http://dx.doi.org/10.1002/art.40726) pmid:http://www.ncbi.nlm.nih.gov/pubmed/30499246 [PubMed](http://ard.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fannrheumdis%2F82%2F1%2Fe14.atom) 5. Gossec L , Baraliakos X , Kerschbaumer A , et al . EULAR recommendations for the management of psoriatic arthritis with pharmacological therapies: 2019 update. Ann Rheum Dis 2020;79:700–12.[doi:10.1136/annrheumdis-2020-217159](http://dx.doi.org/10.1136/annrheumdis-2020-217159) [Abstract/FREE Full Text](http://ard.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MTE6ImFubnJoZXVtZGlzIjtzOjU6InJlc2lkIjtzOjg6Ijc5LzYvNzAwIjtzOjQ6ImF0b20iO3M6MjY6Ii9hbm5yaGV1bWRpcy84Mi8xL2UxNC5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 6. Coates LC , Strand V , Wilson H , et al . Measurement properties of the minimal disease activity criteria for psoriatic arthritis. RMD Open 2019;5:rmdopen-2019-001002.[doi:10.1136/rmdopen-2019-001002](http://dx.doi.org/10.1136/rmdopen-2019-001002) pmid:http://www.ncbi.nlm.nih.gov/pubmed/31565243 [PubMed](http://ard.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fannrheumdis%2F82%2F1%2Fe14.atom) 7. Hemani G , Zheng J , Elsworth B , et al . The MR-Base platform supports systematic causal inference across the human phenome. eLife 2018;7:e34408.[doi:10.7554/eLife.34408](http://dx.doi.org/10.7554/eLife.34408) 8. Morris JA , Kemp JP , Youlten SE , et al . An atlas of genetic influences on osteoporosis in humans and mice. Nat Genet 2019;51:258–66.[doi:10.1038/s41588-018-0302-x](http://dx.doi.org/10.1038/s41588-018-0302-x) pmid:http://www.ncbi.nlm.nih.gov/pubmed/30598549 [CrossRef](http://ard.bmj.com/lookup/external-ref?access_num=10.1038/s41588-018-0302-x&link_type=DOI) [PubMed](http://ard.bmj.com/lookup/external-ref?access_num=30598549&link_type=MED&atom=%2Fannrheumdis%2F82%2F1%2Fe14.atom) 9. Budu-Aggrey A , Brumpton B , Tyrrell J , et al . Evidence of a causal relationship between body mass index and psoriasis: a Mendelian randomization study. PLoS Med 2019;16:e1002739.[doi:10.1371/journal.pmed.1002739](http://dx.doi.org/10.1371/journal.pmed.1002739)