Meta-analysis of genome-wide studies identifies WNT16 and ESR1 SNPs associated with bone mineral density in premenopausal women

Daniel L. Koller*, Hou-Feng Zheng, David Karasik, Laura Yerges-Armstrong, Ching-Ti Liu, Fiona McGuigan, John P. Kemp, Sylvie Giroux, Dongbing Lai, Howard J. Edenberg, Munro Peacock, Stefan A. Czerwinski, Audrey C. Choh, George McMahon, Beate St Pourcain, Nicholas J. Timpson, Debbie A. Lawlor, David M. Evans, Bradford Towne, John BlangeroMelanie A. Carless, Candace Kammerer, David Goltzman, Christopher S. Kovacs, Jerilynn C. Prior, Tim D. Spector, Francois Rousseau, Jonathan H Tobias, Kristina Akesson, Michael J. Econs, Braxton D. Mitchell, J. Brent Richards, Douglas P. Kiel, Tatiana Foroud

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

58 Citations (Scopus)


Previous genome-wide association studies (GWAS) have identified common variants in genes associated with variation in bone mineral density (BMD), although most have been carried out in combined samples of older women and men. Meta-analyses of these results have identified numerous SNPs of modest effect at genome-wide significance levels in genes involved in both bone formation and resorption, as well as other pathways. We performed a meta-analysis restricted to premenopausal white women from four cohorts (n= 4,061 women, ages 20 to 45) to identify genes influencing peak bone mass at the lumbar spine and femoral neck. Following imputation, age- and weight-adjusted BMD values were tested for association with each SNP. Association of a SNP in the WNT16 gene (rs3801387; p=1.7 x 10(-9) ) and multiple SNPs in the ESR1/C6orf97 (rs4870044; p=1.3 x 10(-8) ) achieved genome-wide significance levels for lumbar spine BMD. These SNPs, along with others demonstrating suggestive evidence of association, were then tested for association in seven Replication cohorts that included premenopausal women of European, Hispanic-American, and African-American descent (combined n=5,597 for femoral neck; 4,744 for lumbar spine). When the data from the Discovery and Replication cohorts were analyzed jointly, the evidence was more significant (WNT16 joint p=1.3 x 10(-11) ; ESR1/C6orf97 joint p= 1.4 x 10(-10) ). Multiple independent association signals were observed with spine BMD at the ESR1 region after conditioning on the primary signal. Analyses of femoral neck BMD also supported association with SNPs in WNT16 and ESR1/C6orf97 (p<1 x 10(-5) ). Our results confirm that several of the genes contributing to BMD variation across a broad age range in both sexes have effects of similar magnitude on BMD of the spine in premenopausal women. These data support the hypothesis that variants in these genes of known skeletal function also affect BMD during the premenopausal period. © 2012 American Society for Bone and Mineral Research.
Original languageEnglish
Pages (from-to)547-558
Number of pages12
JournalJournal of Bone and Mineral Research
Issue number3
Publication statusPublished - Mar 2013


  • GWAS
  • AGE
  • LOCI
  • MASS

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