Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture
Estrada, K
Styrkarsdottir, U
Evangelou, E
Hsu, YH
Duncan, EL
Ntzani, EE
Oei, L
Albagha, OME
Amin, N
Kemp, JP
Koller, DL
Li, G
Liu, CT
Minster, RL
Moayyeri, A
Vandenput, L
Willner, D
Xiao, SM
Yerges-Armstrong, LM
Zheng, HF
Alonso, N
Eriksson, J
Kammerer, CM
Kaptoge, SK
Leo, PJ
Thorleifsson, G
Wilson, SG
Wilson, JF
Aalto, V
Alen, M
Aragaki, AK
Aspelund, T
Center, JR
Dailiana, Z
Duggan, DJ
Garcia, M
Garcia-Giralt, N
Giroux, S
Hallmans, G
Hocking, LJ
Husted, LB
Jameson, KA
Khusainova, R
Kim, GS
Kooperberg, C
Koromila, T
Kruk, M
Laaksonen, M
Lacroix, AZ
Lee, SH
Leung, PC
Lewis, JR
Masi, L
Mencej-Bedrac, S
Nguyen, TV
Nogues, X
Patel, MS
Prezelj, J
Rose, LM
Scollen, S
Siggeirsdottir, K
Smith, AV
Svensson, O
Trompet, S
Trummer, O
Van Schoor, NM
Woo, J
Zhu, K
Balcells, S
Brandi, ML
Buckley, BM
Cheng, S
Christiansen, C
Cooper, C
Dedoussis, G
Ford, I
Frost, M
Goltzman, D
González-Macías, J
Kähönen, M
Karlsson, M
Khusnutdinova, E
Koh, JM
Kollia, P
Langdahl, BL
Leslie, WD
Lips, P
Ljunggren, Ø
Lorenc, RS
Marc, J
Mellström, D
Obermayer-Pietsch, B
Olmos, JM
Pettersson-Kymmer, U
Reid, DM
Riancho, JA
Ridker, PM
Rousseau, F
Lagboom, PES
Tang, NLS
- Publication Type:
- Journal Article
- Citation:
- Nature Genetics, 2012, 44 (5), pp. 491 - 501
- Issue Date:
- 2012-05-01
Closed Access
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Estrada, K | en_US |
dc.contributor.author | Styrkarsdottir, U | en_US |
dc.contributor.author | Evangelou, E | en_US |
dc.contributor.author | Hsu, YH | en_US |
dc.contributor.author | Duncan, EL | en_US |
dc.contributor.author | Ntzani, EE | en_US |
dc.contributor.author | Oei, L | en_US |
dc.contributor.author | Albagha, OME | en_US |
dc.contributor.author | Amin, N | en_US |
dc.contributor.author | Kemp, JP | en_US |
dc.contributor.author | Koller, DL | en_US |
dc.contributor.author | Li, G | en_US |
dc.contributor.author | Liu, CT | en_US |
dc.contributor.author | Minster, RL | en_US |
dc.contributor.author | Moayyeri, A | en_US |
dc.contributor.author | Vandenput, L | en_US |
dc.contributor.author | Willner, D | en_US |
dc.contributor.author | Xiao, SM | en_US |
dc.contributor.author | Yerges-Armstrong, LM | en_US |
dc.contributor.author | Zheng, HF | en_US |
dc.contributor.author | Alonso, N | en_US |
dc.contributor.author | Eriksson, J | en_US |
dc.contributor.author | Kammerer, CM | en_US |
dc.contributor.author | Kaptoge, SK | en_US |
dc.contributor.author | Leo, PJ | en_US |
dc.contributor.author | Thorleifsson, G | en_US |
dc.contributor.author | Wilson, SG | en_US |
dc.contributor.author | Wilson, JF | en_US |
dc.contributor.author | Aalto, V | en_US |
dc.contributor.author | Alen, M | en_US |
dc.contributor.author | Aragaki, AK | en_US |
dc.contributor.author | Aspelund, T | en_US |
dc.contributor.author | Center, JR | en_US |
dc.contributor.author | Dailiana, Z | en_US |
dc.contributor.author | Duggan, DJ | en_US |
dc.contributor.author | Garcia, M | en_US |
dc.contributor.author | Garcia-Giralt, N | en_US |
dc.contributor.author | Giroux, S | en_US |
dc.contributor.author | Hallmans, G | en_US |
dc.contributor.author | Hocking, LJ | en_US |
dc.contributor.author | Husted, LB | en_US |
dc.contributor.author | Jameson, KA | en_US |
dc.contributor.author | Khusainova, R | en_US |
dc.contributor.author | Kim, GS | en_US |
dc.contributor.author | Kooperberg, C | en_US |
dc.contributor.author | Koromila, T | en_US |
dc.contributor.author | Kruk, M | en_US |
dc.contributor.author | Laaksonen, M | en_US |
dc.contributor.author | Lacroix, AZ | en_US |
dc.contributor.author | Lee, SH | en_US |
dc.contributor.author | Leung, PC | en_US |
dc.contributor.author | Lewis, JR | en_US |
dc.contributor.author | Masi, L | en_US |
dc.contributor.author | Mencej-Bedrac, S | en_US |
dc.contributor.author |
Nguyen, TV |
en_US |
dc.contributor.author | Nogues, X | en_US |
dc.contributor.author | Patel, MS | en_US |
dc.contributor.author | Prezelj, J | en_US |
dc.contributor.author | Rose, LM | en_US |
dc.contributor.author | Scollen, S | en_US |
dc.contributor.author | Siggeirsdottir, K | en_US |
dc.contributor.author | Smith, AV | en_US |
dc.contributor.author | Svensson, O | en_US |
dc.contributor.author | Trompet, S | en_US |
dc.contributor.author | Trummer, O | en_US |
dc.contributor.author | Van Schoor, NM | en_US |
dc.contributor.author | Woo, J | en_US |
dc.contributor.author | Zhu, K | en_US |
dc.contributor.author | Balcells, S | en_US |
dc.contributor.author | Brandi, ML | en_US |
dc.contributor.author | Buckley, BM | en_US |
dc.contributor.author | Cheng, S | en_US |
dc.contributor.author | Christiansen, C | en_US |
dc.contributor.author | Cooper, C | en_US |
dc.contributor.author | Dedoussis, G | en_US |
dc.contributor.author | Ford, I | en_US |
dc.contributor.author | Frost, M | en_US |
dc.contributor.author | Goltzman, D | en_US |
dc.contributor.author | González-Macías, J | en_US |
dc.contributor.author | Kähönen, M | en_US |
dc.contributor.author | Karlsson, M | en_US |
dc.contributor.author | Khusnutdinova, E | en_US |
dc.contributor.author | Koh, JM | en_US |
dc.contributor.author | Kollia, P | en_US |
dc.contributor.author | Langdahl, BL | en_US |
dc.contributor.author | Leslie, WD | en_US |
dc.contributor.author | Lips, P | en_US |
dc.contributor.author | Ljunggren, Ø | en_US |
dc.contributor.author | Lorenc, RS | en_US |
dc.contributor.author | Marc, J | en_US |
dc.contributor.author | Mellström, D | en_US |
dc.contributor.author | Obermayer-Pietsch, B | en_US |
dc.contributor.author | Olmos, JM | en_US |
dc.contributor.author | Pettersson-Kymmer, U | en_US |
dc.contributor.author | Reid, DM | en_US |
dc.contributor.author | Riancho, JA | en_US |
dc.contributor.author | Ridker, PM | en_US |
dc.contributor.author | Rousseau, F | en_US |
dc.contributor.author | Lagboom, PES | en_US |
dc.contributor.author | Tang, NLS | en_US |
dc.date.available | 2012-03-16 | en_US |
dc.date.issued | 2012-05-01 | en_US |
dc.identifier.citation | Nature Genetics, 2012, 44 (5), pp. 491 - 501 | en_US |
dc.identifier.issn | 1061-4036 | en_US |
dc.identifier.uri | http://hdl.handle.net/10453/32104 | |
dc.description.abstract | Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 × 10 -8). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 × 10 -4, Bonferroni corrected), of which six reached P < 5 × 10 -8, including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. © 2012 Nature America, Inc. All rights reserved. | en_US |
dc.relation.ispartof | Nature Genetics | en_US |
dc.relation.isbasedon | 10.1038/ng.2249 | en_US |
dc.subject.classification | Developmental Biology | en_US |
dc.subject.mesh | Femur Neck | en_US |
dc.subject.mesh | Lumbar Vertebrae | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Osteoporosis | en_US |
dc.subject.mesh | Genetic Predisposition to Disease | en_US |
dc.subject.mesh | Glycoproteins | en_US |
dc.subject.mesh | Intercellular Signaling Peptides and Proteins | en_US |
dc.subject.mesh | Spectrin | en_US |
dc.subject.mesh | Mitochondrial Membrane Transport Proteins | en_US |
dc.subject.mesh | Phosphoproteins | en_US |
dc.subject.mesh | Extracellular Matrix Proteins | en_US |
dc.subject.mesh | Risk Factors | en_US |
dc.subject.mesh | Gene Expression Profiling | en_US |
dc.subject.mesh | Computational Biology | en_US |
dc.subject.mesh | Bone Density | en_US |
dc.subject.mesh | Genotype | en_US |
dc.subject.mesh | Polymorphism, Single Nucleotide | en_US |
dc.subject.mesh | Quantitative Trait Loci | en_US |
dc.subject.mesh | European Continental Ancestry Group | en_US |
dc.subject.mesh | Female | en_US |
dc.subject.mesh | Male | en_US |
dc.subject.mesh | Fractures, Bone | en_US |
dc.subject.mesh | Genome-Wide Association Study | en_US |
dc.subject.mesh | Low Density Lipoprotein Receptor-Related Protein-5 | en_US |
dc.title | Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture | en_US |
dc.type | Journal Article | |
utslib.citation.volume | 5 | en_US |
utslib.citation.volume | 44 | en_US |
utslib.for | 110311 Medical Genetics (excl. Cancer Genetics) | en_US |
utslib.for | 0903 Biomedical Engineering | en_US |
utslib.for | 06 Biological Sciences | en_US |
utslib.for | 11 Medical and Health Sciences | en_US |
pubs.embargo.period | Not known | en_US |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering | |
pubs.organisational-group | /University of Technology Sydney/Strength - CHT - Health Technologies | |
utslib.copyright.status | closed_access | |
pubs.issue | 5 | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 44 | en_US |
Abstract:
Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 × 10 -8). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 × 10 -4, Bonferroni corrected), of which six reached P < 5 × 10 -8, including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. © 2012 Nature America, Inc. All rights reserved.
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