Genome-wide association study meta-analysis for quantitative ultrasound parameters of bone identifies five novel loci for broadband ultrasound attenuation
Authors
Mullin, BH
Brown, SJ
Zheng, HF
Dudbridge, F
Scott, Robert
Spector, TD
Richards, JB
Walsh, JP
Wilson, SG
Publication Date
2017-05-04Journal Title
Human Molecular Genetics
ISSN
0964-6906
Publisher
Oxford University Press
Volume
26
Issue
14
Pages
2791-2802
Language
English
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Mullin, B., Zhao, J. H., Brown, S., Perry, J., Luan, J., Zheng, H., Langenberg, C., et al. (2017). Genome-wide association study meta-analysis for quantitative ultrasound parameters of bone identifies five novel loci for broadband ultrasound attenuation. Human Molecular Genetics, 26 (14), 2791-2802. https://doi.org/10.1093/hmg/ddx174
Abstract
Osteoporosis is a common and debilitating bone disease that is characterised by low bone mineral density, typically assessed using dual-energy X-ray absorptiometry. Quantitative ultrasound (QUS), commonly utilising the two parameters velocity of sound (VOS) and broadband ultrasound attenuation (BUA), is an alternative technology used to assess bone properties at peripheral skeletal sites. The genetic influence on the bone qualities assessed by QUS remains an under-studied area. We performed a comprehensive genome-wide association study (GWAS) including low-frequency variants (minor allele frequency $\geq$ 0.005) for BUA and VOS using a discovery population of individuals with whole-genome sequence (WGS) data from the UK10K project ($n$ = 1268). These results were then meta-analysed with those from two deeply imputed GWAS replication cohorts ($n$ = 1610 and 13 749). In the gender-combined analysis, we identified eight loci associated with BUA and five with VOS at the genome-wide significance level, including three novel loci for BUA at 8p23.1 (PPP1R3B), 11q23.1 (LOC387810) and 22q11.21 (SEPT5) (P = 2.4 x 10$^{-8}$ to 1.6 x 10$^{-9}$). Gene-based association testing in the gender-combined dataset revealed eight loci associated with BUA and seven with VOS after correction for multiple testing, with one novel locus for BUA at FAM167A (8p23.1) (P = 1.4 x 10$^{-6}$). An additional novel locus for BUA was seen in the male-specific analysis at DEFB103B (8p23.1) (P = 1.8 x 10$^{-6}$). Fracture analysis revealed significant associations between variation at the WNT16 and RSPO3 loci and fracture risk (P = 0.004 and 4.0 x 10$^{-4}$, respectively). In conclusion, by performing a large GWAS meta-analysis for QUS parameters of bone using a combination of WGS and deeply imputed genotype data, we have identified five novel genetic loci associated with BUA.
Sponsorship
This work was supported by the Australian National Health and Medical Research Council (Project Grant 1048216), the Medical Research Council (Unit Programme numbers MC_UU_12015/1 and MC_UU_12015/2) and the iVEC/Pawsey Supercomputing Centre (with funding from the Australian Government and the Government of Western Australia; PN/14/736 and PN/15/1007). The salary of B.H.M. is supported by a Raine Medical Research Foundation Priming Grant.
Funder references
MRC (MC_UU_12015/1)
MRC (MC_UU_12015/2)
Department of Health (via National Institute for Health Research (NIHR)) (NF-SI-0512-10135)
MRC (MC_PC_13048)
Wellcome Trust (091310/Z/10/Z)
Identifiers
External DOI: https://doi.org/10.1093/hmg/ddx174
This record's URL: https://www.repository.cam.ac.uk/handle/1810/265254
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