Synergistic influence of cytokine gene polymorphisms over the risk of dementia: A multifactor dimensionality reduction analysis

Synergistic effects of BTN3A1, SHP2, CD274, and STAT3 gene polymorphisms on the risk of systemic lupus erythematosus: a multifactorial dimensional reduction analysis

OBJECTIVE

Systemic lupus erythematosus is a complex autoimmune disorder, and evidence supports the significance of genetic polymorphisms in SLE genetic susceptibility. The aim of this study was to assess the effects of BTN3A1 (butyrophilin 3A1), SHP2 (Src homology-2 containing protein tyrosine phosphatase), CD274 (programmed cell death 1 ligand 1), and STAT3 (signal transducer-activator of transcription 3) gene interactions on SLE risk.

MATERIALS AND METHODS

Two hundred and ninety patients diagnosed with SLE and 370 healthy controls were recruited. A multifactor dimensionality reduction (MDR) approach was used to determine the epistasis among single nucleotide polymorphisms (SNPs) on the BTN3A1 (rs742090), SHP2 (rs58116261), CD174 (rs702275), and STAT3 (rs8078731) genes. The best risk prediction model was identified in terms of precision and cross-validation consistency.

RESULTS

Allele A and genotype AA were negatively related to genetic susceptibility of SLE for BTN3A1 rs742090 (OR = 0.788 (0.625-0.993), P = 0.044; OR = 0.604 (0.372-0.981), P = 0.040). For STAT3 rs8078731, allele A and genotype AA were positively related to the risk of SLE (OR = 1.307 (1.032-1.654), P = 0.026; OR = 1.752 (1.020-3.010), P = 0.041). MDR analysis revealed the most significant interaction between BTN3A1 rs742090 and SHP2 rs58116261. The best risk prediction model was a combination of BTN3A1 rs742090, SHP2 rs58116261, and STAT3 rs8078731 (accuracy = 0.5866, consistency = 10/10, OR = 1.9870 (1.5964-2.4731), P = 0.001).

CONCLUSION

These data indicate that risk prediction models formed by gene interactions (BTN3A1, SHP2, STAT3) can identify susceptible populations of SLE. Key Points • BTN3A1 rs742090 polymorphism was a protective factor for systemic lupus erythematosus, while STAT3 rs8078731 polymorphism was a risk factor. • There was a strong synergistic effect of BTN3A1 rs742090 and SHP2 rs58116261, and interaction among BTN3A1 rs742090, SHP2 rs58116261, and STAT3 rs8078731 constructed the best model to show association with SLE risk.

Association of single nucleotide polymorphisms of IL-6 gene with frailty in the Chinese Bai nationality

To investigate the impact of 3 single nucleotide polymorphisms (SNPs) in the interleukin-6 (IL-6) gene and their interaction on susceptibility to frailty in the elderly in rural areas of China Bai nationality. Taking the Bai people in Dali, China as the research object, and according to the frailty phenotype scale, there were 2 groups: frail and non-frail. Basic information about the study participants was gathered using a questionnaire. Clinical biochemical indices were also evaluated and the Sanger method was used to identify the sequences of the IL-6 gene loci at rs1524107, rs1800796, and rs10499563. SHEsis online software was used to analyze the linkage disequilibrium of IL-6 gene sites and the relationship between haploids and frailty. The MDR software was used to analyze the 3 sites and their interactions. Among 231 rural Bai elderly people, 63 (27.3%) were frail and 168 (72.7%) were non-frail. The SNPs of rs1524107, rs1800796, and rs10499563 in the IL-6 gene were not associated with the occurrence of frailty, nor were they associated with clinical indicators such as grip strength and gait speed. After adjusting for age and gender, there was no significant difference in the distribution of the 3 genetic models composed of the 3 SNPs between frail and non-frail populations (all P > .05). The 3 haplotypes were not associated with the occurrence of frailty, and the interaction between the 3 loci was not associated with the susceptibility to frailty. The SNP of rs1524107, rs1800796, and rs10499563 sites of IL-6 gene may not be related to frailty susceptibility in Dali Bai people. Differences in frailty mechanisms among other populations at the gene level, which are of enormous significance for the prevention and treatment of frailty, require further research with larger samples and more gene loci.