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Casual association between childhood body mass index and risk of psoriasis: A Mendelian randomization study
Yuan Li1,2, Wei Zhang3,4, Gaihe Chen1
1Department of Dermatology, The Fifth People's Hospital of Hainan Province, Haikou, China.
Insights
Increased childhood body mass index (BMI) may causally increase psoriasis risk. This Mendelian randomization study suggests a link between higher childhood BMI and a greater likelihood of developing psoriasis.
Area of Science:
- Genetics
- Epidemiology
- Dermatology
Background:
- Observational studies suggest a link between childhood body mass index (BMI) and psoriasis risk.
- The causal relationship between childhood BMI and psoriasis remains unclear.
Purpose of the Study:
- To investigate the potential causal relationship between childhood BMI and the risk of developing psoriasis using Mendelian randomization.
Main Methods:
- Utilized summary statistics from genome-wide association studies (GWAS) for childhood BMI (n=39,620) and psoriasis (n=337,159).
- Employed Mendelian randomization (MR) techniques including inverse variance weighting (IVW), weighted median, and MR-Egger regression.
- Instrumental variables were derived from 16 single-nucleotide polymorphisms associated with childhood BMI.
Main Results:
- The IVW and weighted median methods indicated a causal relationship between higher childhood BMI and an increased risk of psoriasis (p=0.006 and p=0.029, respectively).
- MR-Egger regression analysis did not reveal significant directional pleiotropy (p=0.247), suggesting the observed association is unlikely to be due to bias.
- Cochran's Q test and funnel plots showed minimal heterogeneity and asymmetry, further supporting the validity of the findings.
Conclusions:
- The Mendelian randomization analysis supports a causal link between increased childhood body mass index and a higher likelihood of developing psoriasis.
- These findings underscore the importance of maintaining a healthy BMI in childhood for potentially preventing psoriasis.
Background:
Observational studies have suggested that childhood body mass index (BMI) is associated with the risk of psoriasis. However, their causal relationship remains unclear. In this investigation, we aimed to determine whether an association exists between childhood BMI and psoriasis.
Methods:
Using summary statistics for childhood BMI of European descent from publicly available GWAS meta-analyses (n = 39 620), we conducted Mendelian randomization (MR) research using the inverse variance weighting (IVW), weighted median, and MR-Egger regression techniques. The outcome was a genome-wide association studies (GWAS) for the self-reported non-cancer disease classification psoriasis in the UK Biobank population (total n = 337 159; case = 3871; control = 333 288).
Results:
We selected instrumental variables from 16 single-molecule polymorphisms that attained genome-wide significance in GWAS on childhood BMI. Using the IVW method, our findings supported a causal relationship between childhood BMI and psoriasis (beta = 0.003, standard error [SE] = 0.001, p = 0.006). Using MR-Egger regression analysis, we evaluated the potential for directional pleiotropy to bias our results (intercept = 0.00039, p-value = 0.247) and found no causal relationship between childhood BMI and psoriasis (beta = -0.002, SE = 0.004, p = 0.625). The weighted median method, however, provided proof of a causal relationship (beta = 0.003, SE = 0.001, p = 0.029). Cochran's Q test and the funnel plot revealed little proof of heterogeneity or asymmetry, indicating the lack of directional pleiotropy.
Conclusion:
According to the findings of the MR analysis, an increased childhood BMI may be linked to a higher likelihood of psoriasis.
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