Evidence map›Paper›PMID 22792071›Full record

SynthesisPLoS genetics2012

WNT16 influences bone mineral density, cortical bone thickness, bone strength, and osteoporotic fracture risk.

Hou-Feng Zheng, Jon H Tobias, Emma Duncan, David M Evans, Joel Eriksson, Lavinia Paternoster, Laura M Yerges-Armstrong, Terho Lehtimäki, Ulrica Bergström, Mika Kähönen and 45 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 175 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
175citing papers in PubMed, 8 pooled it
17.4field-weighted citation impact, top 1% 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

175 citing papers in PubMed, 8 syntheses or guidelines pooled it, 294 citations in OpenAlex.

  1. A Meta-Analysis of the Transferability of Bone Mineral Density Genetic Loci Associations From European to African Ancestry Populations.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2021
    Pooled it
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  3. The National Osteoporosis Foundation's position statement on peak bone mass development and lifestyle factors: a systematic review and implementation recommendations.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2016
    Pooled it
  4. Identification of IDUA and WNT16 Phosphorylation-Related Non-Synonymous Polymorphisms for Bone Mineral Density in Meta-Analyses of Genome-Wide Association Studies.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2016
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Meta-analysis of genome-wide studies identifies WNT16 and ESR1 SNPs associated with bone mineral density in premenopausal women.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2013
    Pooled it
  8. Pooled it
  9. Multidimensional Bone Density Phenotyping Reveals New Insights Into Genetic Regulation of the Pediatric Skeleton.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2018
    Trial
  10. Diets Differently Affect Bone Health: Murine Models.International journal of molecular sciences · 2026
    Article
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  18. Loss ofJBMR plus · 2025
    Article
  19. Wnt family members regulating osteogenesis and their origins.Journal of bone and mineral metabolism · 2025
    Review
  20. Article

115 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

55 authors at 20 institutions in 8 countries.

Hou-Feng ZhengDepartment of Medicine, Human Genetics, McGill University, Montreal, Canada.
Jon H Tobias
Emma Duncan
David M Evans
Joel Eriksson
Lavinia Paternoster
Laura M Yerges-Armstrong
Terho Lehtimäki
Ulrica Bergström
Mika Kähönen
Paul J Leo
Olli Raitakari
Marika Laaksonen
Geoffrey C Nicholson
Jorma Viikari
Martin Ladouceur
Leo-Pekka Lyytikäinen
Carolina Medina-Gomez
Fernando Rivadeneira
Richard L Prince
Harri Sievanen
William D Leslie
Dan Mellström
John A Eisman
Sofia Movérare-Skrtic
David Goltzman
David A Hanley
Graeme Jones
Beate St Pourcain
Yongjun Xiao
Nicholas J Timpson
George Davey Smith
Ian R Reid
Susan M Ring
Philip N Sambrook
Magnus Karlsson
Elaine M Dennison
John P Kemp
Patrick Danoy
Adrian Sayers
Scott G Wilson
Maria Nethander
Eugene McCloskey
Liesbeth Vandenput
Richard Eastell
Jeff Liu
Tim Spector
Braxton D Mitchell
Elizabeth A Streeten
Robert Brommage
Ulrika Pettersson-Kymmer
Matthew A Brown
Claes Ohlsson
J Brent Richards
Mattias Lorentzon
University of Gothenburg · SEUniversity of Bristol · GBMcGill University · CAMedical Research Council · GBUniversity of Maryland, Baltimore · USErasmus MC · NLLexicon Pharmaceuticals (United States) · USPrincess Alexandra Hospital · AUTampere University · FIThe University of Queensland · AUUmeå University · SEUniversity of Sheffield · GBUniversity of Turku · FIJewish General Hospital · CAKing's College London · GBLund University · SEMontreal Heart Institute · CASir Charles Gairdner Hospital · AUTampere University · FIThe University of Sydney · AU

Funding

Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D · 2005 to 2019
$17.3M
Longevity Genes in Founder PopulationsR01AG018728 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2001 to 2005
$3.8M
Genetic Influences on Coronary Artery CalcificationR01HL088119 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D · 2007 to 2010
$2.8M
GENETICS OF OSTEOPOROSIS IN THE AMISHR01AR046838 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2000 to 2004
$2.7M
Genome-wide Association in Families: Data Integrity, Design and Methods IssueU01HL084756 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI O'CONNELL, JEFFREY R · 2006 to 2008
$880k
Genetics of Bone Mineral Density in Two PopulationsF32AR059469 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI YERGES-ARMSTRONG, LAURA MARIA · 2010 to 2011
$98k
CIHRMedical Research Council G0600705Medical Research Council G0800582Medical Research Council MRC G0800582Medical Research Council ref: 74882NHLBI NIH HHS R01 HL088119NHLBI NIH HHS R01HL088119NHLBI NIH HHS U01 HL084756NIAMS NIH HHS F32 AR059469NIAMS NIH HHS F32AR059469NIAMS NIH HHS R01 AR046838NIAMS NIH HHS R01AR046838NIA NIH HHS R01 AG018728NIA NIH HHS R01 AG18728NIDDK NIH HHS P30 DK072488NIDDK NIH HHS P30DK072488Wellcome Trust 092731Wellcome Trust ref: 076467Wellcome Trust WT083431MA
6 · The paper itself

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.

Indexed as

Genome-Wide Association StudyAdolescentAdultAnimalsBone and BonesBone DensityChildChild, PreschoolFemaleFemurForearmFractures, BoneHumansMaleMiceMiddle AgedWNT16 protein, humanWnt Proteins

Identifiers

PMID22792071
PMCPMC3390364
OpenAlexW2137696823

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.