Association of the COL1A1 gene polymorphisms in Mexican postmenopausal women with fracture or with low bone mineral density at the hip

The COL1A1 rs1800012 polymorphism is associated with osteoporosis or fracture risk: a meta-analysis of 30 studies

OBJECTIVES

Osteoporosis is a complex disease that is influenced by several genetic markers. Many studies have examined the link between the COL1A1 gene rs1800012 polymorphism and osteoporosis risk. However, the findings of these studies are contradictory. Therefore, we performed a meta-analysis to aggregate additional information and obtain increased statistical power to more efficiently examine this correlation.

METHODS

A meta-analysis was conducted to evaluate the association between the COL1A1 rs1800012 (G > T) polymorphism and the risk of osteoporosis or fracture. A total of 30 case-control studies were included that contained 2,943 patients and 4,724 control subjects. The Stata 11.0 statistical software package was used to evaluate the odds ratio (OR) and 95% confidence interval.

RESULTS

Overall, the recessive and homozygote models showed no heterogeneity, with a significant fixed effect pooled OR (P < 0.001). Moreover, the allelic (P < 0.001), dominant (P < 0.001), and heterozygote (P = 0.002) models were associated with a significantly increased risk of osteoporosis or fracture by random effect analysis. Sub-group analyses revealed that all the hereditary models showed an increased risk of osteoporosis or fracture in a European population. Additionally, we found a significant association in the dominant (P = 0.035) and heterozygote (P = 0.030) models in North Americans. In addition, we observed an association between COL1A1 and osteoporosis and fracture risk.

CONCLUSIONS

Combined with data from previous studies, this meta-analysis suggested that COL1A1 is associated with osteoporosis or fracture risk.

Association of the Sp1 binding site and -1997 promoter variations in COL1A1 with osteoporosis risk: The application of meta-analysis and bioinformatics approaches offers a new perspective for future research

As a complex disease, osteoporosis is influenced by several genetic markers. Many studies have examined the link between the Sp1 binding site +1245 G > T (rs1800012) and -1997 G > T (rs1107946) variations in the COL1A1 gene with osteoporosis risk. However, the findings of these studies have been contradictory; therefore, we performed a meta-analysis to aggregate additional information and obtain increased statistical power to more efficiently estimate this correlation. A meta-analysis was conducted with studies published between 1991-2020 that were identified by a systematic electronic search of the Scopus and Clarivate Analytics databases. Studies with bone mineral density (BMD) data and complete genotypes of the single-nucleotide variations (SNVs) for the overall and postmenopausal female population were included in this meta-analysis and analyzed using the R metaphor package. A relationship between rs1800012 and significantly decreased BMD values at the lumbar spine and femoral neck was found in individuals carrying the "ss" versus the "SS" genotype in the overall population according to a random effects model (p < 0.0001). Similar results were also found in the postmenopausal female population (p = 0.003 and 0.0002, respectively). Such findings might be an indication of increased osteoporosis risk in both studied groups in individuals with the "ss" genotype. Although no association was identified between the -1997 G > T and low BMD in the overall population, those individuals with the "GT" genotype showed a higher level of BMD than those with "GG" in the subgroup analysis (p = 0.007). To determine which transcription factor (TF) might bind to the -1997 G > T in COL1A1, 45 TFs were identified based on bioinformatics predictions. According to the GSE35958 microarray dataset, 16 of 45 TFs showed differential expression profiles in osteoporotic human mesenchymal stem cells relative to normal samples from elderly donors. By identifying candidate TFs for the -1997 G > T site, our study offers a new perspective for future research.

Collagens and elastin genetic variations and their potential role in aging-related diseases and longevity in humans

Collagens and elastin are 'building blocks' of tissues and extracellular matrix. Mutations in these proteins cause severe congenital syndromes. Adverse genetic variations may accelerate the aging process in adults contributing to premature morbidity, disability and/or mortality. Favorable variants may contribute to longevity and/or healthy aging, but this is much less studied. We reviewed the association between variation in the genes of collagens and elastin and premature aging, accelerated aging, age-related diseases and/or frailty; and the association between genetic variation in those and longevity and/or healthy aging in humans. A systematic search was conducted in MEDLINE and other online databases (OMIM, Genetics Home Reference, Orphanet, ClinVar). Results suggest that genetic variants lead to aging phenotypes of known congenital disease, but also to association with common age-related diseases in adults without known congenital disease. This may be due to the variable penetrance and expressivity of many variants. Some collagen variants have been associated with longevity or healthy aging. A limitation is that most studies had <1000 participants and their criterion for statistical significance was p < 0.05. Results highlight the importance of adopting a lifecourse approach to the study of the genomics of aging. Gerontology can help with new methodologies that operationalize biological aging.

COL1A1, CCDC170, and ESR1 single nucleotide polymorphisms associated with distal radius fracture in postmenopausal Mexican women

Objective: The aim of this study was to analyze the genetic association of five ESR1 single nucleotide polymorphisms (SNPs) (rs3020331, rs851982, rs1999805, rs2234693, rs3020404), four COL1A1 SNPs (rs1800012, rs2075555, rs2412298, rs1107946), and two SNPs on the CCDC170 gene (rs9479055, rs4870044) with distal radius fracture (DRF) in a group of postmenopausal Mexican women.Methods: A case-control study was conducted. Cases (n = 182) were women above the age of 38 years with low-energy DRF, and controls (n = 201) were women without. Analysis was done through real-time polymerase chain reaction. Frequencies and Hardy-Weinberg equilibrium were calculated. A multivariate analysis including bone mass index, age, menarche, and menopause as covariables was carried out. Finally, haplotype and linkage disequilibrium (LD) analyses were performed.Results: COL1A1 rs1107946 was strongly associated with DRF. Both CCDC170 SNPs showed strong association with DRF. For the ESR1 gene, four SNPs (rs2234693, 3020404, rs3020331, and rs851982) showed very strong association with DRF. Additionally, the region between the latter two showed strong LD.Conclusions: A strong association of DRF with variants in these genes was found, including haplotypes and a region with strong LD on ESR1. The results suggest that these SNPs could be useful to detect the population at risk of presenting DRF among Mexican perimenopausal women.

A Pilot Genome-Wide Association Study in Postmenopausal Mexican-Mestizo Women Implicates the RMND1/CCDC170 Locus Is Associated with Bone Mineral Density

To identify genetic variants influencing bone mineral density (BMD) in the Mexican-Mestizo population, we performed a GWAS for femoral neck (FN) and lumbar spine (LS) in Mexican-Mestizo postmenopausal women. In the discovery sample, 300,000 SNPs were genotyped in a cohort of 411 postmenopausal women and seven SNPs were analyzed in the replication cohort (n = 420). The combined results of a meta-analysis from the discovery and replication samples identified two loci, RMND1 (rs6904364, P = 2.77 × 10^-4) and CCDC170 (rs17081341, P = 1.62 × 10^-5), associated with FN BMD. We also compared our results with those of the Genetic Factors for Osteoporosis (GEFOS) Consortium meta-analysis. The comparison revealed two loci previously reported in the GEFOS meta-analysis: SOX6 (rs7128738) and PKDCC (rs11887431) associated with FN and LS BMD, respectively, in our study population. Interestingly, rs17081341 rare in Caucasians (minor allele frequency < 0.03) was found in high frequency in our population, which suggests that this association could be specific to non-Caucasian populations. In conclusion, the first pilot Mexican GWA study of BMD confirmed previously identified loci and also demonstrated the importance of studying variability in diverse populations and/or specific populations.