Comparison of whole genome linkage scans in premenopausal and postmenopausal women: no bone-loss-specific QTLs were implicated

Genetic Variation and Hot Flashes: A Systematic Review

CONTEXT

Approximately 70% of women report experiencing vasomotor symptoms (VMS, hot flashes and/or night sweats). The etiology of VMS is not clearly understood but may include genetic factors.

EVIDENCE ACQUISITION

We searched PubMed and Embase in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance. We included studies on associations between genetic variation and VMS. We excluded studies focused on medication interventions or prevention or treatment of breast cancer.

EVIDENCE SYNTHESIS

Of 202 unique citations, 18 citations met the inclusion criteria. Study sample sizes ranged from 51 to 17 695. Eleven of the 18 studies had fewer than 500 participants; 2 studies had 1000 or more. Overall, statistically significant associations with VMS were found for variants in 14 of the 26 genes assessed in candidate gene studies. The cytochrome P450 family 1 subfamily A member 1 (CYP1B1) gene was the focus of the largest number (n = 7) of studies, but strength and statistical significance of associations of CYP1B1 variants with VMS were inconsistent. A genome-wide association study reported statistically significant associations between 14 single-nucleotide variants in the tachykinin receptor 3 gene and VMS. Heterogeneity across trials regarding VMS measurement methods and effect measures precluded quantitative meta-analysis; there were few studies of each specific genetic variant.

CONCLUSIONS

Genetic variants are associated with VMS. The associations are not limited to variations in sex-steroid metabolism genes. However, studies were few and future studies are needed to confirm and extend these findings.

UGT2B17 gene deletion associated with an increase in bone mineral density similar to the effect of hormone replacement in postmenopausal women

UGT2B17 is one of the most important enzymes for androgen metabolism. In addition, the UGT2B17 gene is one of the most commonly deleted regions of the human genome. The deletion was previously found associated with higher femoral bone density in men and women, and we replicated this association in a sample of postmenopausal who never used hormone therapy.

INTRODUCTION

Deletion of the UGT2B17 gene was previously shown to be associated with a higher hip bone mineral density (BMD). Using a PCR assay, we tried to replicate the association among a large group of 2,379 women. We examined the effect of the deletion on femoral neck BMD and lumbar spine BMD according to the menopausal status and hormone replacement therapy (HRT).

METHODS

We used a high-throughput PCR assay to identify the gene and the deletion in a population of well-characterized women. Two additional polymorphisms, UGT2B28 deletion and UGT2B15 rs1902023 G > T were also investigated.

RESULTS

Only UGT2B17 deletion was associated with LS and FN BMD. Furthermore, the association was seen only among postmenopausal women who had never used hormone replacement as in the first reported association.

CONCLUSIONS

We confirmed the association between UGT2B17 deletion and a higher LS and FN BMD. In addition, we show that the association is observed among postmenopausal women who never used HRT consistent with the enzymatic function of UGT2B17. The analysis shows that those having one or two UGT2B17 alleles benefit from HRT, which is not the case for null carriers.

Molecular genetic studies of gene identification for osteoporosis: the 2009 update

Osteoporosis is a complex human disease that results in increased susceptibility to fragility fractures. It can be phenotypically characterized using several traits, including bone mineral density, bone size, bone strength, and bone turnover markers. The identification of gene variants that contribute to osteoporosis phenotypes, or responses to therapy, can eventually help individualize the prognosis, treatment, and prevention of fractures and their adverse outcomes. Our previously published reviews have comprehensively summarized the progress of molecular genetic studies of gene identification for osteoporosis and have covered the data available to the end of September 2007. This review represents our continuing efforts to summarize the important and representative findings published between October 2007 and November 2009. The topics covered include genetic association and linkage studies in humans, transgenic and knockout mouse models, as well as gene-expression microarray and proteomics studies. Major results are tabulated for comparison and ease of reference. Comments are made on the notable findings and representative studies for their potential influence and implications on our present understanding of the genetics of osteoporosis.