Cargando…

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

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 individua...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Hou-Feng, Tobias, Jon H., Duncan, Emma, Evans, David M., Eriksson, Joel, Paternoster, Lavinia, Yerges-Armstrong, Laura M., Lehtimäki, Terho, Bergström, Ulrica, Kähönen, Mika, Leo, Paul J., Raitakari, Olli, Laaksonen, Marika, Nicholson, Geoffrey C., Viikari, Jorma, Ladouceur, Martin, Lyytikäinen, Leo-Pekka, Medina-Gomez, Carolina, Rivadeneira, Fernando, Prince, Richard L., Sievanen, Harri, Leslie, William D., Mellström, Dan, Eisman, John A., Movérare-Skrtic, Sofia, Goltzman, David, Hanley, David A., Jones, Graeme, St. Pourcain, Beate, Xiao, Yongjun, Timpson, Nicholas J., Smith, George Davey, Reid, Ian R., Ring, Susan M., Sambrook, Philip N., Karlsson, Magnus, Dennison, Elaine M., Kemp, John P., Danoy, Patrick, Sayers, Adrian, Wilson, Scott G., Nethander, Maria, McCloskey, Eugene, Vandenput, Liesbeth, Eastell, Richard, Liu, Jeff, Spector, Tim, Mitchell, Braxton D., Streeten, Elizabeth A., Brommage, Robert, Pettersson-Kymmer, Ulrika, Brown, Matthew A., Ohlsson, Claes, Richards, J. Brent, Lorentzon, Mattias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3390364/
https://www.ncbi.nlm.nih.gov/pubmed/22792071
http://dx.doi.org/10.1371/journal.pgen.1002745
_version_ 1782237436096544768
author Zheng, Hou-Feng
Tobias, Jon H.
Duncan, Emma
Evans, David M.
Eriksson, Joel
Paternoster, Lavinia
Yerges-Armstrong, Laura M.
Lehtimäki, Terho
Bergström, Ulrica
Kähönen, Mika
Leo, Paul J.
Raitakari, Olli
Laaksonen, Marika
Nicholson, Geoffrey C.
Viikari, Jorma
Ladouceur, Martin
Lyytikäinen, Leo-Pekka
Medina-Gomez, Carolina
Rivadeneira, Fernando
Prince, Richard L.
Sievanen, Harri
Leslie, William D.
Mellström, Dan
Eisman, John A.
Movérare-Skrtic, Sofia
Goltzman, David
Hanley, David A.
Jones, Graeme
St. Pourcain, Beate
Xiao, Yongjun
Timpson, Nicholas J.
Smith, George Davey
Reid, Ian R.
Ring, Susan M.
Sambrook, Philip N.
Karlsson, Magnus
Dennison, Elaine M.
Kemp, John P.
Danoy, Patrick
Sayers, Adrian
Wilson, Scott G.
Nethander, Maria
McCloskey, Eugene
Vandenput, Liesbeth
Eastell, Richard
Liu, Jeff
Spector, Tim
Mitchell, Braxton D.
Streeten, Elizabeth A.
Brommage, Robert
Pettersson-Kymmer, Ulrika
Brown, Matthew A.
Ohlsson, Claes
Richards, J. Brent
Lorentzon, Mattias
author_facet Zheng, Hou-Feng
Tobias, Jon H.
Duncan, Emma
Evans, David M.
Eriksson, Joel
Paternoster, Lavinia
Yerges-Armstrong, Laura M.
Lehtimäki, Terho
Bergström, Ulrica
Kähönen, Mika
Leo, Paul J.
Raitakari, Olli
Laaksonen, Marika
Nicholson, Geoffrey C.
Viikari, Jorma
Ladouceur, Martin
Lyytikäinen, Leo-Pekka
Medina-Gomez, Carolina
Rivadeneira, Fernando
Prince, Richard L.
Sievanen, Harri
Leslie, William D.
Mellström, Dan
Eisman, John A.
Movérare-Skrtic, Sofia
Goltzman, David
Hanley, David A.
Jones, Graeme
St. Pourcain, Beate
Xiao, Yongjun
Timpson, Nicholas J.
Smith, George Davey
Reid, Ian R.
Ring, Susan M.
Sambrook, Philip N.
Karlsson, Magnus
Dennison, Elaine M.
Kemp, John P.
Danoy, Patrick
Sayers, Adrian
Wilson, Scott G.
Nethander, Maria
McCloskey, Eugene
Vandenput, Liesbeth
Eastell, Richard
Liu, Jeff
Spector, Tim
Mitchell, Braxton D.
Streeten, Elizabeth A.
Brommage, Robert
Pettersson-Kymmer, Ulrika
Brown, Matthew A.
Ohlsson, Claes
Richards, J. Brent
Lorentzon, Mattias
author_sort Zheng, Hou-Feng
collection PubMed
description 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.
format Online
Article
Text
id pubmed-3390364
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-33903642012-07-12 WNT16 Influences Bone Mineral Density, Cortical Bone Thickness, Bone Strength, and Osteoporotic Fracture Risk Zheng, Hou-Feng Tobias, Jon H. Duncan, Emma Evans, David M. Eriksson, Joel Paternoster, Lavinia Yerges-Armstrong, Laura M. Lehtimäki, Terho Bergström, Ulrica Kähönen, Mika Leo, Paul J. Raitakari, Olli Laaksonen, Marika Nicholson, Geoffrey C. Viikari, Jorma Ladouceur, Martin Lyytikäinen, Leo-Pekka Medina-Gomez, Carolina Rivadeneira, Fernando Prince, Richard L. Sievanen, Harri Leslie, William D. Mellström, Dan Eisman, John A. Movérare-Skrtic, Sofia Goltzman, David Hanley, David A. Jones, Graeme St. Pourcain, Beate Xiao, Yongjun Timpson, Nicholas J. Smith, George Davey Reid, Ian R. Ring, Susan M. Sambrook, Philip N. Karlsson, Magnus Dennison, Elaine M. Kemp, John P. Danoy, Patrick Sayers, Adrian Wilson, Scott G. Nethander, Maria McCloskey, Eugene Vandenput, Liesbeth Eastell, Richard Liu, Jeff Spector, Tim Mitchell, Braxton D. Streeten, Elizabeth A. Brommage, Robert Pettersson-Kymmer, Ulrika Brown, Matthew A. Ohlsson, Claes Richards, J. Brent Lorentzon, Mattias PLoS Genet Research Article 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. Public Library of Science 2012-07-05 /pmc/articles/PMC3390364/ /pubmed/22792071 http://dx.doi.org/10.1371/journal.pgen.1002745 Text en Zheng et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zheng, Hou-Feng
Tobias, Jon H.
Duncan, Emma
Evans, David M.
Eriksson, Joel
Paternoster, Lavinia
Yerges-Armstrong, Laura M.
Lehtimäki, Terho
Bergström, Ulrica
Kähönen, Mika
Leo, Paul J.
Raitakari, Olli
Laaksonen, Marika
Nicholson, Geoffrey C.
Viikari, Jorma
Ladouceur, Martin
Lyytikäinen, Leo-Pekka
Medina-Gomez, Carolina
Rivadeneira, Fernando
Prince, Richard L.
Sievanen, Harri
Leslie, William D.
Mellström, Dan
Eisman, John A.
Movérare-Skrtic, Sofia
Goltzman, David
Hanley, David A.
Jones, Graeme
St. Pourcain, Beate
Xiao, Yongjun
Timpson, Nicholas J.
Smith, George Davey
Reid, Ian R.
Ring, Susan M.
Sambrook, Philip N.
Karlsson, Magnus
Dennison, Elaine M.
Kemp, John P.
Danoy, Patrick
Sayers, Adrian
Wilson, Scott G.
Nethander, Maria
McCloskey, Eugene
Vandenput, Liesbeth
Eastell, Richard
Liu, Jeff
Spector, Tim
Mitchell, Braxton D.
Streeten, Elizabeth A.
Brommage, Robert
Pettersson-Kymmer, Ulrika
Brown, Matthew A.
Ohlsson, Claes
Richards, J. Brent
Lorentzon, Mattias
WNT16 Influences Bone Mineral Density, Cortical Bone Thickness, Bone Strength, and Osteoporotic Fracture Risk
title WNT16 Influences Bone Mineral Density, Cortical Bone Thickness, Bone Strength, and Osteoporotic Fracture Risk
title_full WNT16 Influences Bone Mineral Density, Cortical Bone Thickness, Bone Strength, and Osteoporotic Fracture Risk
title_fullStr WNT16 Influences Bone Mineral Density, Cortical Bone Thickness, Bone Strength, and Osteoporotic Fracture Risk
title_full_unstemmed WNT16 Influences Bone Mineral Density, Cortical Bone Thickness, Bone Strength, and Osteoporotic Fracture Risk
title_short WNT16 Influences Bone Mineral Density, Cortical Bone Thickness, Bone Strength, and Osteoporotic Fracture Risk
title_sort wnt16 influences bone mineral density, cortical bone thickness, bone strength, and osteoporotic fracture risk
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3390364/
https://www.ncbi.nlm.nih.gov/pubmed/22792071
http://dx.doi.org/10.1371/journal.pgen.1002745
work_keys_str_mv AT zhenghoufeng wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT tobiasjonh wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT duncanemma wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT evansdavidm wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT erikssonjoel wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT paternosterlavinia wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT yergesarmstronglauram wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT lehtimakiterho wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT bergstromulrica wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT kahonenmika wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT leopaulj wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT raitakariolli wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT laaksonenmarika wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT nicholsongeoffreyc wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT viikarijorma wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT ladouceurmartin wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT lyytikainenleopekka wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT medinagomezcarolina wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT rivadeneirafernando wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT princerichardl wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT sievanenharri wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT lesliewilliamd wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT mellstromdan wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT eismanjohna wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT moverareskrticsofia wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT goltzmandavid wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT hanleydavida wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT jonesgraeme wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT stpourcainbeate wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT xiaoyongjun wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT timpsonnicholasj wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT smithgeorgedavey wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT reidianr wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT ringsusanm wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT sambrookphilipn wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT karlssonmagnus wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT dennisonelainem wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT kempjohnp wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT danoypatrick wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT sayersadrian wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT wilsonscottg wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT nethandermaria wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT mccloskeyeugene wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT vandenputliesbeth wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT eastellrichard wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT liujeff wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT spectortim wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT mitchellbraxtond wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT streetenelizabetha wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT brommagerobert wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT petterssonkymmerulrika wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT brownmatthewa wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT ohlssonclaes wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT richardsjbrent wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk
AT lorentzonmattias wnt16influencesbonemineraldensitycorticalbonethicknessbonestrengthandosteoporoticfracturerisk