Joint Association Analysis Identified 18 New Loci for Bone Mineral Density. (28th February 2019)

• Record Type: Journal Article
• Authors: Pei, Yu‐Fang; Liu, Lu; Liu, Tao‐Le; Yang, Xiao‐Lin; Zhang, Hong; Wei, Xin‐Tong; Feng, Gui‐Juan; Hai, Rong; Ran, Shu; Zhang, Lei
• Is Part Of: Journal of bone and mineral research. Volume 34:Number 6(2019)
• Page Start: 1086
• Page End: 1094
• Publication Date: 2019-02-28
• Subjects: DXA ANALYSIS/QUANTITATION OF BONE -- OSTEOPOROSIS -- HUMAN ASSOCIATION STUDIES -- GENETIC RESEARCH; Bones -- Metabolism -- Periodicals; Mineral metabolism -- Periodicals; 612.392
• DOI: 10.1002/jbmr.3681
• Languages: English
• ISSNs: 0884-0431

Abstract

ABSTRACT: Bone mineral density (BMD) at various skeletal sites have shared genetic determinants. In the present study, aiming to identify shared loci associated with BMD, we conducted a joint association study of a genomewide association study (GWAS) and a meta‐analysis of BMD at different skeletal sites: (i) a single GWAS of heel BMD in 142, 487 individuals from the UK Biobank, and (ii) a meta‐analysis of 30 GWASs of total body (TB) BMD in 66, 628 individuals from the Genetic Factors for Osteoporosis (GEFOS) Consortium. The genetic correlation coefficient of the two traits was estimated to be 0.57. We performed joint association analysis with a recently developed statistical method multi‐trait analysis of GWAS (MTAG) to account for trait heterogeneity and sample overlap. The joint association analysis combining samples of up to 209, 115 individuals identified 18 novel loci associated with BMD at the genomewide significance level (α = 5.0 × 10 –8 ), explaining an additional 0.43% and 0.60% of heel‐BMD and TB‐BMD heritability, respectively. The vast majority of the identified lead SNPs or their proxies exerted local expression quantitative trait loci (cis‐eQTL) activity. Credible risk variants, defined as those SNPs located within 500 kilobases (kb) of the lead SNP and with p values within two orders of magnitude of the lead SNP, were enriched in transcription factor binding sites ( p = 3.58 × 10 –4 ) and coding regions ( p = 5.71 × 10 –4 ). Fifty‐six candidate genes were prioritized at these novel loci using multiple sources of information, including several genes being previously reported to play a role in bone biology but not reported in previous GWASs ( PPARG, FBN2, DEF6, TNFRSF19, and NFE2L1 ). One newly identified gene, SCMH1, was shown to upregulate the expression of several bone biomarkers, including alkaline phosphatase (ALP), collagen type 1 (COL‐I), osteocalcin (OCN), osteopontin (OPN), and runt‐related transcription factor 2 (RUNX2), in mouse osteoblastic MC3T3‐E1 cells, highlighting its regulatory role in bone formation. Our results may provide useful candidate genes for future functional investigations. © 2019 American Society for Bone and Mineral Research.