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WNT16 Influences Bone Mineral Density, Cortical Bone Thickness, Bone Strength, and Osteoporotic Fracture Risk

Abstract

We aimed to identify genetic variants associated with cortical bone thickness (CBT) and bone mineral density (BMD) by performing two separate genome-wide association study (GWAS) meta-analyses for CBT in 3 cohorts comprising 5,878 European subjects and for BMD in 5 cohorts comprising 5,672 individuals. We then assessed selected single-nucleotide polymorphisms (SNPs) for osteoporotic fracture in 2,023 cases and 3,740 controls. Association with CBT and forearm BMD was tested for ∼2.5 million SNPs in each cohort separately, and results were meta-analyzed using fixed effect meta-analysis. We identified a missense SNP (Thr>Ile; rs2707466) located in the WNT16 gene (7q31), associated with CBT (effect size of -0.11 standard deviations [SD] per C allele, P = 6.2 × 10(-9)). This SNP, as well as another nonsynonymous SNP rs2908004 (Gly>Arg), also had genome-wide significant association with forearm BMD (-0.14 SD per C allele, P = 2.3 × 10(-12), and -0.16 SD per G allele, P = 1.2 × 10(-15), respectively). Four genome-wide significant SNPs arising from BMD meta-analysis were tested for association with forearm fracture. SNP rs7776725 in FAM3C, a gene adjacent to WNT16, was associated with a genome-wide significant increased risk of forearm fracture (OR = 1.33, P = 7.3 × 10(-9)), with genome-wide suggestive signals from the two missense variants in WNT16 (rs2908004: OR = 1.22, P = 4.9 × 10(-6) and rs2707466: OR = 1.22, P = 7.2 × 10(-6)). We next generated a homozygous mouse with targeted disruption of Wnt16. Female Wnt16(-/-) mice had 27% (P<0.001) thinner cortical bones at the femur midshaft, and bone strength measures were reduced between 43%-61% (6.5 × 10(-13)<P<5.9 × 10(-4)) at both femur and tibia, compared with their wild-type littermates. Natural variation in humans and targeted disruption in mice demonstrate that WNT16 is an important determinant of CBT, BMD, bone strength, and risk of fracture.

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References
1.
Rivadeneira F, Styrkarsdottir U, Estrada K, Halldorsson B, Hsu Y, Richards J . Twenty bone-mineral-density loci identified by large-scale meta-analysis of genome-wide association studies. Nat Genet. 2009; 41(11):1199-206. PMC: 2783489. DOI: 10.1038/ng.446. View

2.
Hudelmaier M, Kuhn V, Lochmuller E, Well H, Priemel M, Link T . Can geometry-based parameters from pQCT and material parameters from quantitative ultrasound (QUS) improve the prediction of radial bone strength over that by bone mass (DXA)?. Osteoporos Int. 2004; 15(5):375-81. DOI: 10.1007/s00198-003-1551-8. View

3.
Pearson T, Manolio T . How to interpret a genome-wide association study. JAMA. 2008; 299(11):1335-44. DOI: 10.1001/jama.299.11.1335. View

4.
Zheng H, Spector T, Richards J . Insights into the genetics of osteoporosis from recent genome-wide association studies. Expert Rev Mol Med. 2011; 13:e28. DOI: 10.1017/S1462399411001980. View

5.
Pereira T, Patsopoulos N, Salanti G, Ioannidis J . Discovery properties of genome-wide association signals from cumulatively combined data sets. Am J Epidemiol. 2009; 170(10):1197-206. PMC: 2800267. DOI: 10.1093/aje/kwp262. View