J. Brent Richards, MD, MSc; Fotini K. Kavvoura, MD, PhD; Fernando Rivadeneira, MD, PhD; Unnur Styrkársdóttir, PhD; Karol Estrada, MSc; Bjarni V. Halldórsson, PhD; Yi-Hsiang Hsu, MD, ScD; M. Carola Zillikens, MD; Scott G. Wilson, PhD; Benjamin H. Mullin, BSc; Najaf Amin, MSc; Yurii S. Aulchenko, PhD; L. Adrienne Cupples, PhD; Panagiotis Deloukas, PhD; Serkalem Demissie, PhD; Albert Hofman, MD, PhD; Augustine Kong, PhD; David Karasik, PhD; Joyce B. van Meurs, PhD; Ben A. Oostra, PhD; Huibert A.P. Pols, MD, PhD; Gunnar Sigurdsson, MD, PhD; Unnur Thorsteinsdottir, PhD; Nicole Soranzo, PhD; Frances M.K. Williams, MD, PhD; Yanhua Zhou, MSc; Stuart H. Ralston, MD; Gudmar Thorleifsson, PhD; Cornelia M. van Duijn, PhD; Douglas P. Kiel, MD, MPH; Kari Stefansson, MD, PhD; André G. Uitterlinden, PhD; John P.A. Ioannidis, MD, PhD; Tim D. Spector, MD, MSc; GEFOS (Genetic Factors for Osteoporosis) Consortium
Richards JB, Kavvoura FK, Rivadeneira F, Styrkársdóttir U, Estrada K, Halldórsson BV, et al. Collaborative Meta-analysis: Associations of 150 Candidate Genes With Osteoporosis and Osteoporotic Fracture. Ann Intern Med. 2009;151:528-537. doi: 10.7326/0003-4819-151-8-200910200-00006
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Published: Ann Intern Med. 2009;151(8):528-537.
Osteoporosis is a highly heritable trait. Many candidate genes have been proposed as being involved in regulating bone mineral density (BMD). Few of these findings have been replicated in independent studies.
To assess the relationship between BMD and fracture and all common single-nucleotide polymorphisms (SNPs) in previously proposed osteoporosis candidate genes.
Large-scale meta-analysis of genome-wide association data.
5 international, multicenter, population-based studies.
Data on BMD were obtained from 19Â 195 participants (14Â 277 women) from 5 populations of European origin. Data on fracture were obtained from a prospective cohort (n = 5974) from the Netherlands.
Systematic literature review using the Human Genome Epidemiology Navigator identified autosomal genes previously evaluated for association with osteoporosis. We explored the common SNPs arising from the haplotype map of the human genome (HapMap) across all these genes. BMD at the femoral neck and lumbar spine was measured by dual-energy x-ray absorptiometry. Fractures were defined as clinically apparent, site-specific, validated nonvertebral and vertebral low-energy fractures.
150 candidate genes were identified and 36Â 016 SNPs in these loci were assessed. SNPs from 9 gene loci (ESR1, LRP4, ITGA1, LRP5, SOST, SPP1, TNFRSF11A, TNFRSF11B, and TNFSF11) were associated with BMD at either site. For most genes, no SNP was statistically significant. For statistically significant SNPs (n = 241), effect sizes ranged from 0.04 to 0.18 SD per allele. SNPs from the LRP5, SOST, SPP1, and TNFRSF11A loci were significantly associated with fracture risk; odds ratios ranged from 1.13 to 1.43 per allele. These effects on fracture were partially independent of BMD at SPP1 and SOST.
Only common polymorphisms in linkage disequilibrium with SNPs in HapMap could be assessed, and previously reported associations for SNPs in some candidate genes could not be excluded.
In this large-scale collaborative genome-wide meta-analysis, 9 of 150 candidate genes were associated with regulation of BMD, 4 of which also significantly affected risk for fracture. However, most candidate genes had no consistent association with BMD.
European Union, Netherlands Organisation for Scientific Research, Research Institute for Diseases in the Elderly, Netherlands Genomics Initiative, Wellcome Trust, National Institutes of Health, deCODE Genetics, and Canadian Institutes of Health Research.
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Endocrine and Metabolism, Metabolic Bone Disorders.
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