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PMID: 23074152 Published · ppublish English Journal Article Meta-Analysis Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

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

Koller DL, Zheng HF, Karasik D, Yerges-Armstrong L, Liu CT, McGuigan F, Kemp JP, Giroux S, Lai D, Edenberg HJ, Peacock M, Czerwinski SA, Choh AC, McMahon G, St Pourcain B, Timpson NJ, Lawlor DA, Evans DM, Towne B, Blangero J, Carless MA, Kammerer C, Goltzman D, Kovacs CS, Prior JC, Spector TD, Rousseau F, Tobias JH, Akesson K, Econs MJ, Mitchell BD, Richards JB, Kiel DP, Foroud T

Abstract

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 single-nucleotide polymorphisms (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 = 4061 women, aged 20 to 45 years) to identify genes influencing peak bone mass at the lumbar spine and femoral neck. After imputation, age- and weight-adjusted bone-mineral density (BMD) values were tested for association with each SNP. Association of an SNP in the WNT16 gene (rs3801387; p = 1.7 × 10(-9) ) and multiple SNPs in the ESR1/C6orf97 region (rs4870044; p = 1.3 × 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 = 5597 for femoral neck; n = 4744 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 × 10(-11) ; ESR1/C6orf97 joint p = 1.4 × 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 × 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.

MeSH Terms
Bone Density Estrogen Receptor alpha/genetics Female Genome-Wide Association Study Humans Polymorphism, Single Nucleotide Premenopause Wnt Proteins/genetics
Chemicals
ESR1 protein, human Estrogen Receptor alpha WNT16 protein, human Wnt Proteins
Authors & Affiliations
34 authors, click to expand affiliations / ORCID
Koller Daniel L
Indiana University School of Medicine, Indianapolis, IN, USA. [email protected]
Zheng Hou-Feng
Karasik David
Yerges-Armstrong Laura
Liu Ching-Ti
McGuigan Fiona
Kemp John P
Giroux Sylvie
Lai Dongbing
Edenberg Howard J
Peacock Munro
Czerwinski Stefan A
Choh Audrey C
McMahon George
St Pourcain Beate
Timpson Nicholas J
Lawlor Debbie A
Evans David M
Towne Bradford
Blangero John
Carless Melanie A
Kammerer Candace
Goltzman David
Kovacs Christopher S
Prior Jerilynn C
Spector Tim D
Rousseau Francois
Tobias Jon H
Akesson Kristina
Econs Michael J
Mitchell Braxton D
Richards J Brent
Kiel Douglas P
Foroud Tatiana
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Article Info
Journal
Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
Abbr.
J Bone Miner Res
ISSN
1523-4681
Published
2013-03-00
Pages
547-58
Language
English
Region
United States
NLM ID
8610640
PMCID
PMC3691010
Subset
IM
Grants
NCRR NIH HHS · C06RR017515 · United States
Wellcome Trust · WT088806 · United Kingdom
NIDDK NIH HHS · R01 DK064391 · United States
NIAMS NIH HHS · R01AR046838 · United States
NIDDK NIH HHS · R01DK064391 · United States
NIMH NIH HHS · R01 MH078143 · United States
NHLBI NIH HHS · N01HC25195 · United States
NHLBI NIH HHS · N02-HL-6-4278 · United States
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NIAMS NIH HHS · F32AR059469 · United States
NIAMS NIH HHS · R01AR052147 · United States
NIAMS NIH HHS · R01 AR046838 · United States
Medical Research Council · G0600705 · United Kingdom
NIA NIH HHS · R01AR/AG41398 · United States
Medical Research Council · G0800582 · United Kingdom
Medical Research Council · MC_UU_12013/3 · United Kingdom
NIMH NIH HHS · R01MH078111 · United States
NHLBI NIH HHS · N01 HC025195 · United States
CIHR · Canada
NHLBI NIH HHS · N02 HL64278 · United States
NIAMS NIH HHS · R01AR043351 · United States
NIAMS NIH HHS · R01 AR052147 · United States
NCRR NIH HHS · M01 RR-00750 · United States
NIMH NIH HHS · R01MH083824 · United States
NCRR NIH HHS · C06 RR017515 · United States
NICHD NIH HHS · R01HD012252 · United States
NIMH NIH HHS · R01 MH078111 · United States
NIAMS NIH HHS · R01 AR041398 · United States
NIA NIH HHS · R01 AG041517 · United States
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NIDDK NIH HHS · P30 DK072488 · United States
Wellcome Trust · 092731 · United Kingdom
Biotechnology and Biological Sciences Research Council · G20234 · United Kingdom
NHLBI NIH HHS · P01 HL045522 · United States
British Heart Foundation · SP/07/008/24066 · United Kingdom
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