Evidence map›Paper›PMID 23074152›Full record

SynthesisJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2013

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 and 24 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 6 pooled it
6.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 6 syntheses or guidelines pooled it, 106 citations in OpenAlex.

  1. Large-scale circulating proteome association study (CPAS) meta-analysis identifies circulating proteins and pathways predicting incident hip fractures.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
    Pooled it
  2. Meta-Analysis of Genomewide Association Studies Reveals Genetic Variants for Hip Bone Geometry.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2019
    Pooled it
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  7. Article
  8. Review
  9. Emerging applications of feature selection in osteoporosis research: from biomarker discovery to clinical decision support.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
    Review
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  11. Review
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  13. Loss ofJBMR plus · 2025
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  14. Loss ofbioRxiv : the preprint server for biology · 2024
    Article
  15. Potential Interaction betweenBiomedicines · 2024
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  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

34 authors at 17 institutions in 5 countries.

Daniel L KollerIndiana University School of Medicine, Indianapolis, IN, USA. dkoller@iupui.edu
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 Blangero
Melanie A Carless
Candace Kammerer
David Goltzman
Christopher S Kovacs
Jerilynn C Prior
Tim D Spector
Francois Rousseau
Jon H Tobias
Kristina Akesson
Michael J Econs
Braxton D Mitchell
J Brent Richards
Douglas P Kiel
Tatiana Foroud
University of Bristol · GBIndiana University – Purdue University Indianapolis · USIndiana University School of MedicineMedical Research Council · GBWright State University · USCentre hospitalier universitaire de Québec · CAHarvard University · USLund University · SEMcGill University · CATexas Biomedical Research Institute · USUniversity of Maryland, Baltimore · USBoston University · USHealth Sciences Centre · CAJewish General Hospital · CAKing's College London · GBUniversity of British Columbia · CAUniversity of Pittsburgh · US

Funding

PEDIGREE ANALYSIS OF LIPOPROTEIN PHENOTYPESP01HL045522 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 1991 to 2012
$27.6M
ZOSUQUIDAR TRIHYDROCHLORIDE DURING CONVENTIONAL INDUCTION AND POST-REMISSIONM01RR000750 · NCRR · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI STORNIOLO, ANNA · 1985 to 2008
$25.5M
Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D, TAYLOR, SIMEON I. · 2005 to 2019
$17.3M
SUBCUTANEOUS FAT, BLOOD LIPIDS AND SUBSEQUENT OUTCOMER01HD012252 · NICHD · WRIGHT STATE UNIVERSITY · PI CZERWINSKI, STEFAN A. · 1985 to 2014
$17.3M
RISK FACTORS FOR VERTEBRAL FRACTURE AND BONE LOSSR01AR041398 · NIAMS · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI KIEL, DOUGLAS P. · 1991 to 2025
$16.1M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and FunctionR01MH078143 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2006 to 2014
$4.3M
Longevity Genes in Founder PopulationsR01AG018728 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2001 to 2005
$3.8M
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
EXTRAMULAR RESEARCH FACILITIES CONSTRUCTIONC06RR017515 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 2003 to 2003
$3.1M
Identification of genes that affect peak BMD in men and womenR01AG041517 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI ECONS, MICHAEL J · 2011 to 2015
$2.9M
Genetic Influences on Coronary Artery CalcificationR01HL088119 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D · 2007 to 2010
$2.8M
Biotechnology and Biological Sciences Research Council G20234British Heart Foundation SP/07/008/24066CIHRMedical Research Council 092731Medical Research Council G0600705Medical Research Council G0800582Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_UU_12013/5NCRR NIH HHS C06 RR017515NCRR NIH HHS C06RR017515NCRR NIH HHS M01 RR000750NCRR NIH HHS M01 RR-00750NHGRI NIH HHS HHSN268200782096CNHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195NHLBI NIH HHS N02 HL064278NHLBI NIH HHS N02-HL-6-4278NHLBI NIH HHS P01 HL045522NHLBI NIH HHS P01HL045522NHLBI NIH HHS R01 HL088119NHLBI NIH HHS R01HL088119NHLBI NIH HHS U01 HL084756NIAMS NIH HHS F32 AR059469NIAMS NIH HHS F32AR059469NIAMS NIH HHS R01 AR041398NIAMS NIH HHS R01 AR043351NIAMS NIH HHS R01AR043351NIAMS NIH HHS R01 AR046838NIAMS NIH HHS R01AR046838NIAMS NIH HHS R01 AR050066NIAMS NIH HHS R01 AR052147NIAMS NIH HHS R01AR052147NIAMS NIH HHS R01AR43351NIA NIH HHS R01 AG018728NIA NIH HHS R01 AG041517NIA NIH HHS R01AG041517NIA NIH HHS R01AG18728NIA NIH HHS R01AR/AG41398NICHD NIH HHS R01 HD012252NICHD NIH HHS R01HD012252NIDDK NIH HHS P30 DK072488NIDDK NIH HHS P30DK072488NIDDK NIH HHS R01 DK064391NIDDK NIH HHS R01DK064391NIMH NIH HHS R01 MH078111NIMH NIH HHS R01MH078111NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH083824NIMH NIH HHS R01MH083824Wellcome TrustWellcome Trust 092731Wellcome Trust WT088806
6 · The paper itself

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.

Indexed as

Bone DensityPolymorphism, Single NucleotidePremenopauseEstrogen Receptor alphaFemaleGenome-Wide Association StudyHumansWnt ProteinsESR1 protein, humanEstrogen Receptor alphaWNT16 protein, humanWnt Proteins

Identifiers

PMID23074152
PMCPMC3691010
OpenAlexW2135129121

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.