A non-synonymous coding change in the CYP19A1 gene Arg264Cys (rs700519) does not affect circulating estradiol, bone structure or fracture.

BACKGROUND: The biosynthesis of estrogens from androgens is catalyzed by aromatase P450 enzyme, coded by the CYP19A1 gene on chromosome 15q21.2. Genetic variation within the CYP19A1 gene sequence has been shown to alter the function of the enzyme. The aim of this study is to investigate whether a non-synonymous Arg264Cys (rs700519) single nucleotide polymorphism (SNP) is associated with altered levels of circulating estradiol, areal bone mineral density or fracture. METHODS: This population- based study of 1,022 elderly Caucasian women (mean age 74.95 ± 2.60 years) was genotyped for the rs700519 SNP were analyzed to detect any association with endocrine and bone phenotypes. RESULTS: The genotype frequencies were 997 wildtype (97.6%), 24 heterozygous (2.3%) and 1 homozygous (0.1%). When individuals were grouped by genotype, there was no association between the polymorphism and serum estradiol (wildtype 27.5 ± 16.0; variants 31.2 ± 18.4, P = 0.27). There was also no association seen on hip bone mineral density (wildtype 0.81 ± 0.12; 0.84 ± 0.14 for variants, P = 0.48) or femoral neck bone mineral density (0.69 ± 0.10 for wildtype; 0.70 ± 0.12 for variants, P = 0.54) before or after correction of the data with age, height, weight and calcium therapy. There were also no associations with quantitative ultrasound measures of bone structure (broadband ultrasound attenuation, speed of sound and average stiffness). CONCLUSIONS: In a cohort of 1,022 elderly Western Australian women, the presence of Arg264Cys (rs700519) polymorphism was not found to be associated with serum estradiol, bone structure or phenotypes.

A cohort study of the effects of serum osteoprotegerin and osteoprotegerin gene polymorphisms on cardiovascular mortality in elderly women.

OBJECTIVE: To investigate the role of serum osteoprotegerin (OPG) and OPG gene polymorphisms in relation to cardiovascular (CV) and all-cause mortality in elderly women. BACKGROUND: The OPG/RANK/RANKL plays a vital role in bone cell biology. It has also been detected in myocardial tissue and atherosclerotic plaques. In some population studies, OPG and OPG gene polymorphisms have been associated with CV disease risk. DESIGN, MEASUREMENTS AND RESULTS: In an 8.5-year cohort population study of 1333 postmenopausal women mean age 75.2 ± 2.7 years, serum OPG concentrations above the median were associated with an increased risk of all-cause [odds ratio (OR) 1.39 (1.04-1.85)], and in particular CV mortality [OR 1.83 (1.10-3.05)], before and after adjusting for age, BMI, treated hypertension, diabetes, hypercholesterolemia, previous HRT use, calcium supplementation and smoking. Genotyping the OPG gene did not provide further information on the association between OPG and CV risk or mortality events. CONCLUSIONS: Raised osteoprotegerin appears to be an independent risk factor for total and CV death and thus has potential as a useful biomarker of risk as well as a potential target for therapeutic intervention.

Further genetic evidence suggesting a role for the RhoGTPase-RhoGEF pathway in osteoporosis.

Osteoporosis is a highly heritable trait that appears to be influenced by multiple genes. Genome-wide linkage studies have highlighted the chromosomal region 3p14-p21 as a quantitative trait locus for BMD. We have previously published evidence suggesting that the ARHGEF3 gene from this region is associated with BMD in women. The product of this gene activates the RHOA GTPase, the gene for which is also located within this region. The aim of this study was to evaluate the influence of genetic polymorphism in RHOA on bone density in women. Sequence variation within the RHOA gene region was determined using 9 single nucleotide polymorphisms (SNPs) in a discovery cohort of 769 female sibs. Of the 9 SNPs, one was found to be monomorphic with the others representing 3 distinct linkage disequilibrium (LD) blocks. Using FBAT software, significant associations were found between two of these LD blocks and BMD Z-score of the spine and hip (P=0.001-0.036). The LD block tagged by the SNP rs17595772 showed maximal association, with the more common G allele at rs17595772 associated with decreased BMD Z-score. Genotyping for rs17595772 in a replication cohort of 780 postmenopausal women confirmed an association with BMD Z-score (P=0.002-0.036). Again, the G allele was found to be associated with a reduced hip and spine BMD Z-score. These results support the implication of the RhoGTPase-RhoGEF pathway in osteoporosis, and suggest that one or more genes in this pathway may be responsible for the linkage observed between 3p14-p21 and BMD.

Common sequence variation in FLNB regulates bone structure in women in the general population and FLNB mRNA expression in osteoblasts in vitro.

Previous data from our group indicate that BMD is linked to chromosome 3p14-p21. Because the filamin B (FLNB gene resides in this region, is the cause of skeletal dysplasias, and was identified among the top genes in our bioinformatics analysis, we hypothesized a role for FLNB in the regulation of bone structure in the general population. Using a tag single nucleotide polymorphism (SNP) approach, a family study of 767 female sibs in which the 3p14-p21 linkage with BMD was previously shown was examined. FLNB variants showing a BMD association were tested in two additional data sets, a study of 1085 UK female twins and a population study (CAIFOS) of 1315 Australian women. Genotype-expression studies were performed in 96 human osteoblast lines to examine the variants in vitro. rs7637505, rs9822918, rs2177153, and rs2001972 showed association with femoral neck (p = 0.0002-0.02) in the family-based study. The twin study provided further support for an association between rs7637505 and femoral neck and spine BMD (p = 0.02-0.03). The CAIFOS study further suggested an association between rs2177153 and rs9822918 and femoral neck BMD (p = 0.004-0.03). Prevalent fractures were increased in carriers of the A allele of rs2177153 (p = 0.009). In vitro studies showed association between rs11130605, itself in strong LD with rs7637505, and FLNB mRNA expression. These findings suggest common variants in FLNB have effects on bone structure in women. Although the location of variants having effects is not entirely consistent, variation at the 5' end of the gene may reflect effects on levels of FLNB transcription efficiency.

Identification of a role for the ARHGEF3 gene in postmenopausal osteoporosis.

Osteoporosis is a common and debilitating bone disease characterized by low bone mineral density (BMD), a highly heritable and polygenic trait. Genome-wide linkage studies have identified 3p14-p21 as a quantitative trait locus for BMD. The ARHGEF3 gene is situated within this region and was identified as a strong positional candidate. The aim of this study was to evaluate the role of variation in ARHGEF3 on bone density in women. Sequence variation within ARHGEF3 was analyzed with 17 single-nucleotide polymorphisms (SNPs) in a discovery cohort of 769 female sibs. Significant associations were found with family-based association tests between five SNPs and various measures of age-adjusted BMD (p = 0.0007-0.041) with rs7646054 showing maximal association. Analysis of the data with QPDTPHASE suggested that the more common G allele at rs7646054 is associated with decreased age-adjusted BMD. Significant associations were also demonstrated between 3-SNP haplotypes and age-adjusted spine and femoral-neck BMD (p = 0.002 and 0.003, respectively). rs7646054 was then genotyped in a replication cohort, and significant associations with hip and spine BMD were confirmed (p = 0.003-0.038), as well as an association with fracture rate (p = 0.02). Again, the G allele was associated with a decrease in age-adjusted BMD at each site studied. In conclusion, genetic variation in ARHGEF3 plays a role in the determination of bone density in Caucasian women. This data implicates the RhoGTPase-RhoGEF pathway in osteoporosis.

Polymorphism in postinsulin receptor signaling pathway is not associated with polycystic ovary syndrome.

OBJECTIVE: To investigate polymorphisms in postinsulin receptor signaling. To investigate PIK3R1, SLC2A4, SLC2A4RG, and MEF2A to determine whether these genes are associated with susceptibility to polycystic ovary syndrome (PCOS) or key phenotypic features of insulin resistance in subjects with PCOS. DESIGN: Case-control study. SETTING: Participants with PCOS were recruited from a clinical practice database, and controls from the general community. PATIENT(S): One hundred seventy-three patients with PCOS conforming to the National Institutes of Health (NIH) diagnostic criteria, all of Caucasian descent; 107 normally ovulating women of white descent from the general community. INTERVENTION(S): Drawing of blood for DNA extraction. MAIN OUTCOME MEASURE(S): Frequency of PIK3R1, SLC2A4, SLC2A4RG, and MEF2A polymorphisms in case and control subjects. RESULT(S): No significant difference between the frequency of the polymorphisms in case and control women was identified. No single nucleotide polymorphism studied in any of these four genes was associated with the PCOS phenotype. CONCLUSION(S): Polymorphisms in the PIK3R1, SLC2A4, SLC2A4RG, and MEF2A genes are not associated with key PCOS phenotypes.

Polymorphism in HSD17B6 is associated with key features of polycystic ovary syndrome.

OBJECTIVE: To investigate polymorphisms in androgen metabolism regulators that are implicated in the etiology of polycystic ovary syndrome (PCOS) in vitro; to investigate HSD17B6 and GATA6 to determine whether these genes are associated with susceptibility to PCOS or key phenotypic features of patients with PCOS. DESIGN: Case-control association study. SETTING: Participants with PCOS were recruited from a clinical-practice database, and controls, from the general community. PATIENT(S): One hundred seventy-three patients with PCOS and who were of Caucasian descent and conformed to the National Institutes of Health (NIH) diagnostic criteria; 107 normally ovulating women of Caucasian descent from the general community. INTERVENTION(S): Drawing of blood for DNA extraction. MAIN OUTCOME MEASURE(S): Frequency of HSD17B6 and GATA6 polymorphisms in cases and controls. Association of single-nucleotide polymorphisms from HSD17B6 in subjects with PCOS with key phenotypes of PCOS: androgen status, insulin resistance, and body mass index. RESULT(S): Allele distribution for the single-nucleotide polymorphism rs898611 in HSD17B6 was significantly different between PCOS and control subjects (P=.03). Presence of the polymorphic allele was associated with reduced fasting glucose-insulin ratio (P=.02) and increased homeostasis model assessment (P<.01) and body mass index (P<.001) as well as with reduced T (P=.03) in the PCOS group. No association was seen between GATA6 and any of the variables studied. CONCLUSION(S): These data suggest that polymorphisms in the HSD17B6 gene are associated with PCOS and key clinical phenotypes of the disorder.