Author
Listed:
- Unnur Styrkarsdottir
(deCODE genetics/Amgen Inc.)
- Olafur A. Stefansson
(deCODE genetics/Amgen Inc.)
- Kristbjorg Gunnarsdottir
(deCODE genetics/Amgen Inc.)
- Gudmar Thorleifsson
(deCODE genetics/Amgen Inc.)
- Sigrun H. Lund
(deCODE genetics/Amgen Inc.
University of Iceland)
- Lilja Stefansdottir
(deCODE genetics/Amgen Inc.)
- Kristinn Juliusson
(deCODE genetics/Amgen Inc.)
- Arna B. Agustsdottir
(deCODE genetics/Amgen Inc.)
- Florian Zink
(deCODE genetics/Amgen Inc.)
- Gisli H. Halldorsson
(deCODE genetics/Amgen Inc.)
- Erna V. Ivarsdottir
(deCODE genetics/Amgen Inc.)
- Stefania Benonisdottir
(deCODE genetics/Amgen Inc.)
- Hakon Jonsson
(deCODE genetics/Amgen Inc.)
- Arnaldur Gylfason
(deCODE genetics/Amgen Inc.)
- Kristjan Norland
(deCODE genetics/Amgen Inc.)
- Katerina Trajanoska
(ErasmusMC
ErasmusMC)
- Cindy G. Boer
(ErasmusMC)
- Lorraine Southam
(Wellcome Trust Sanger Institute
University of Oxford)
- Jason C. S. Leung
(The Chinese University of Hong Kong)
- Nelson L. S. Tang
(The Chinese University of Hong Kong
CUHK Shenzhen Research Institute)
- Timothy C. Y. Kwok
(The Chinese University of Hong Kong
Prince of Wales Hospital)
- Jenny S. W. Lee
(The Chinese University of Hong Kong
Alice Ho Miu Ling Nethersole Hospital and Tai Po Hospital)
- Suzanne C. Ho
(The Chinese University of Hong Kong)
- Inger Byrjalsen
(Nordic Bioscience A/S)
- Jacqueline R. Center
(Garvan Institute of Medical Research
University of Notre Dame Australia
University of New South Wales)
- Seung Hun Lee
(University of Ulsan College of Medicine)
- Jung-Min Koh
(University of Ulsan College of Medicine)
- L. Stefan Lohmander
(Lund University)
- Lan T. Ho-Pham
(Ton Duc Thang University)
- Tuan V. Nguyen
(Garvan Institute of Medical Research
University of New South Wales
University of Technology Sydney)
- John A. Eisman
(Garvan Institute of Medical Research
University of Notre Dame Australia
University of New South Wales
Garvan Institute of Medical Research)
- Jean Woo
(The Chinese University of Hong Kong)
- Ping-C. Leung
(The Chinese University of Hong Kong
The Chinese University of Hong Kong)
- John Loughlin
(Newcastle University)
- Eleftheria Zeggini
(Wellcome Trust Sanger Institute
Institute of Translational Genomics, Helmholtz Zentrum München)
- Claus Christiansen
(Nordic Bioscience A/S)
- Fernando Rivadeneira
(ErasmusMC
ErasmusMC)
- Joyce Meurs
(ErasmusMC)
- Andre G. Uitterlinden
(ErasmusMC)
- Brynjolfur Mogensen
(University of Iceland
The National University Hospital of Iceland
The National University Hospital of Iceland, and University of Iceland)
- Helgi Jonsson
(University of Iceland
Landspitali–The National University Hospital of Iceland)
- Thorvaldur Ingvarsson
(University of Iceland
Akureyri Hospital
University of Akureyri)
- Gunnar Sigurdsson
(University of Iceland
Research Service Center
The National University Hospital of Iceland)
- Rafn Benediktsson
(University of Iceland
The National University Hospital of Iceland)
- Patrick Sulem
(deCODE genetics/Amgen Inc.)
- Ingileif Jonsdottir
(deCODE genetics/Amgen Inc.
University of Iceland
Landspitali–The National University Hospital of Iceland)
- Gisli Masson
(deCODE genetics/Amgen Inc.)
- Hilma Holm
(deCODE genetics/Amgen Inc.)
- Gudmundur L. Norddahl
(deCODE genetics/Amgen Inc.)
- Unnur Thorsteinsdottir
(deCODE genetics/Amgen Inc.
University of Iceland)
- Daniel F. Gudbjartsson
(deCODE genetics/Amgen Inc.
University of Iceland)
- Kari Stefansson
(deCODE genetics/Amgen Inc.
University of Iceland)
Abstract
Bone area is one measure of bone size that is easily derived from dual-energy X-ray absorptiometry (DXA) scans. In a GWA study of DXA bone area of the hip and lumbar spine (N ≥ 28,954), we find thirteen independent association signals at twelve loci that replicate in samples of European and East Asian descent (N = 13,608 – 21,277). Eight DXA area loci associate with osteoarthritis, including rs143384 in GDF5 and a missense variant in COL11A1 (rs3753841). The strongest DXA area association is with rs11614913[T] in the microRNA MIR196A2 gene that associates with lumbar spine area (P = 2.3 × 10−42, β = −0.090) and confers risk of hip fracture (P = 1.0 × 10−8, OR = 1.11). We demonstrate that the risk allele is less efficient in repressing miR-196a-5p target genes. We also show that the DXA area measure contributes to the risk of hip fracture independent of bone density.
Suggested Citation
Unnur Styrkarsdottir & Olafur A. Stefansson & Kristbjorg Gunnarsdottir & Gudmar Thorleifsson & Sigrun H. Lund & Lilja Stefansdottir & Kristinn Juliusson & Arna B. Agustsdottir & Florian Zink & Gisli H, 2019.
"GWAS of bone size yields twelve loci that also affect height, BMD, osteoarthritis or fractures,"
Nature Communications, Nature, vol. 10(1), pages 1-13, December.
Handle:
RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09860-0
DOI: 10.1038/s41467-019-09860-0
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