Purpose Osteoporosis is a degenerative disease that affects women and men of all races. We studied the association between body mass index (BMI), rs2908004 polymorphism of the WNT16 gene, and osteoporosis using data from Taiwan Biobank (TWB). Patients and Methods We analyzed data from 10,942 subjects aged 30 to 70. We defined osteoporosis based on a mean T-score of −2.5 and below in the hip. Body mass index was classified following the guidelines of the Health Promotion Administration. Imputation was carried out using the IMPUTE2 (v2.3.1) program. Multiple logistic regression was used for analysis. The odds ratios (ORs) and 95% confidence interval (CI) for osteoporosis were determined. Results In the multivariate regression model, variant rs2908004 had a significant association with osteoporosis. That is, the rs2908004-GA+AA genotype was associated with lower osteoporosis risk than the GG genotype (OR, 0.651; 95% CI = 0.544 to 0.780). Compared to normal-weight, underweight was significantly associated with a higher risk of osteoporosis (OR, 6.517; 95% CI = 4.624 to 9.186) while overweight and obesity were protective (OR, 0.176; 95% CI = 0.140 to 0.221 and 0.057; 95% CI = 0.039 to 0.083, respectively). There was an interaction between rs2908004 and BMI ( p = 0.0148). Subgroup analyses (using rs2908004-GG/normal-weight as the reference group) indicated ORs of 7.66 (95% CI = 5.153 to 11.394) in the rs2908004-GG/underweight group and 3.002 (95% CI = 1.509 to 5.974) in the rs2908004-GA+AA/underweight group (95% CI = 1.509 to 5.974). Odds ratios were substantially lower in rs2908004-GG/obese, rs2908004-GG/overweight, GA+AA/normal-weight, rs2908004-GA+AA/overweight, and rs2908004-GA+AA/obese groups, respectively. Conclusion According to our study, underweight was associated with an increased risk of osteoporosis irrespective of WNT16 rs2908004 genotypes, while overweight and obesity were associated with a lower risk.

No abstract

Background Some genes influenced by these variants are highly expressed in vascular tissues and dysfunction can play a role in migraine. The richest tissues are part of blood vessels. In this study, a novel biomarker to predict prevalent migraine by association and mechanisms was presented. Methods Using Microarray data collection and processing and migraine summary GWAS database. Then using gene set enrichment analysis (GSEA), heuristic fine mapping by FUMA GWAS, and identification of PAM in the position of chromosome 5q21 by Pheweb of the biobank and MR-based platform. Results GSEA identified positions that were significantly increased by PAM overexpression, and gene expression was assessed in migraine patients (GSE76242). On position chromosome 5q21, modules were enriched in migraine patients with an enrichment score - 0.50, the nominal enrichment score was 1.15, and the nominal p-value (0.30142567) migraine. In FUMAGWAS, we added an analyzer for gene set analysis by enrichment. One of the GeneSets was chromosome 5q21, N was 15, n was 2, the value of P was 2.14e-4, the adjusted P was 1.60e-2, and the genes were the PAM gene and were assigned by the SNP coding area rs73189054 (lead SNP). Conclusions In conclusion, this study provides a novel migraine rs73189054 from PAM rs73189054, in the position of chromosome 5q21. In particular, it could be determined to predict the susceptibility and vulnerability of migraine.

BackgroundOsteoporosis is a disease of the bone system that causes a decrease in skeletal density and degrades skeletal tissue. Decreased bone quality, so that bones are easily broken, damaged and fractured, is an important public health problem. Previous studies have shown that the maintenance of adult bone mass is not only due to changes in bone marrow and bone cells. By regulating apoptosis, they change the lifespan of each individual. This study influences understanding of the function of apoptosis in the pathogenesis of osteoporosis and the importance of controlling the mechanisms of osteoporosis.MethodsOn the National Institute of Biotechnology Information website, Gene Expression Omnibus (GEO) microarray data and GSE551495 GEO profiles were collected. The gene set enrichment analysis tool was used to confirm the enrichment of genetic sets in relation to the gene set. The collection of C2 gene sets is compiled from the KEGG (https://www.gsea-msigdb.org/gsea/msigdb/human/search.jsp and https://www.kegg.jp/kegg/) online database and REACTOME (https://www.gsea-msigdb.org/gsea/msigdb/human/search.jsp and https://reactome.org/) pathway analysis. The Search Tool for the Retrieval of Interaction Genes (STRING) website was used to construct and select proteins and genes. The comparative toxicological genomic database (CTD) tools can be used to predict the relationship between apoptosis, osteoporosis‐related genes and interactions between central genes and osteoporosis.ResultsThese results generally expand our understanding of the path of apoptosis in osteoporosis. We have discovered genes CASP9, CASP8, CASP3, BAX and TP53 associated with osteoporosis. In activation of KEGG apoptosis and REACTOME, caspase activation through the extrinsic apoptotic signaling pathway is characterized by the identification of a subcollection of C2. Other STRINGs show the formation of protein networks and central gene selection, and CTD can accurately predict the relationship between these apoptosis pathways and central genes.ConclusionsOur research has highlighted the importance of the osteoporosis pathway associated with osteoporosis apoptosis with several analytical approaches. These results have broadened our understanding of the pathways of osteoporosis apoptosis. It is particularly possible to predict the sensitivity and vulnerability to osteoporosis.