GWAS of bone size yields twelve loci that also affect height, BMD, osteoarthritis or fractures

Publication type

Journal Article

Published in

Nature Communications

Authors

Unnur Styrkarsdottir, Olafur A. Stefansson, Kristbjorg Gunnarsdottir, Gudmar Thorleifsson, Sigrun H. Lund, Lilja Stefansdottir, Kristinn Juliusson, Arna B. Agustsdottir, Florian Zink, Gisli H. Halldorsson, Erna V. Ivarsdottir, Stefania Benonisdottir, Hakon Jonsson, Arnaldur Gylfason, Kristjan Norland, Katerina Trajanoska, Cindy G. Boer, Lorraine Southam, Jason C.S. Leung, Nelson L.S. Tang, Timothy C.Y. Kwok, Jenny S.W. Lee, Suzanne C. Ho, Inger Byrjalsen, Jacqueline R. Center, Seung Hun Lee, Jung-Min Koh, L. Stefan Lohmander, Lan T. Ho-Pham, Tuan V. Nguyen, John A. Eisman, Jean Woo, Ping- C. Leung, John Loughlin, Eleftheria Zeggini, Claus Christiansen, Fernando Rivadeneira, Joyce van Meurs, Andre G. Uitterlinden, Brynjolfur Mogensen, Helgi Jonsson, Thorvaldur Ingvarsson, Gunnar Sigurdsson, Rafn Benediktsson, Patrick Sulem, Ingileif Jonsdottir, Gisli Masson, Hilma Holm, Gudmundur L. Norddahl, Unnur Thorsteinsdottir, Daniel F. Gudbjartsson and Kari Stefansson

Publication date

Summary

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.

Volume

10:2054

DOI

https://doi.org/10.1038/s41467-019-09860-0

ISSN

16

Notes

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