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Background  Based on published data, we aimed to quantitatively elucidate the possible genetic influence of rs17561  G/T  and rs1800587  C/T  polymorphisms of the  IL1A  (interleukin 1 alpha) gene in the susceptibility to several autoimmune diseases.    Methods  A series of meta-analyses were carried out. After database searching, we utilized our inclusion/exclusion criteria to screen and include the eligible studies.  P   association   ( P  value of association test), Bonferroni-corrected  P  association  value; false discovery rate (FDR)-corrected  P   association  , ORs (odd ratios), and 95% CI (confidence interval) were generated to assess the magnitudes of genetic relationships.    Results  A total of 35 eligible articles were included. Pooled analysis data of both rs17561  G/T  and rs1800587  C/T  in the overall population indicated a negative association between cases of autoimmune diseases and negative controls (all  P   association  >0.05, Bonferroni-corrected  P  association >0.05, FDR-corrected  P   association  >0.05). Similar results were found in most subgroup analyses (all  P   association  >0.05, Bonferroni-corrected  P  association >0.05, FDR-corrected  P   association  >0.05), apart from the rs1800587 in the Graves’ disease subgroup, which showed an increased risk in some cases, compared with controls, under the models of allele  T  vs.  C , carrier  T  vs.  C ,  CT + TT  vs.  CC , and  CT  vs.  CC  (all  P   association  <0.05, Bonferroni-corrected  P  association <0.05, FDR-corrected  P   association  >0.05, OR>1).    Conclusion  Based on the available data,  C/T  genotype of the rs1800587 polymorphism within  IL1A gene  may be associated with an increased Graves’ disease risk. We did not see evidence regarding a positive role for rs1800587 or rs17561 in the risk of other autoimmune diseases, such as systemic sclerosis or rheumatoid arthritis. These conclusions still merit further data support and molecular exploration.

Meta-analyses of IL1A polymorphisms and the risk of several autoimmune diseases published in databases