Twenty bone mineral-density loci identified by large-scale meta-analysis of genome-wide association studies

F. Rivadeneira, U. Styrakarsdottir, K. Estrada, B.V. Halldorsson, Y.H. Hsu, J.B. Richards, M.C. Zillikens, F.K. Kavvoura, N. Amin, Y.S. Aulchenko, L.A. Cupples, P. Deloukas, S. Demissie, E. Grundberg, A. Hofman, A. Kong, D. Karasik, J.B. Van Meurs, B. Oostra, T. PastinenH.A.P. Pols, G. Sigurdsson, N. Soranzo, G. Thorleifsson, U. Thorsteinsdottir, M.K. Williams F, Scott Wilson, Y. Zhou, S.H. Ralston, C.M. Van Duijn, T. Spector, D.P. Kiel, K. Stefansson, J.P.A. Ioannidis, A.G. Uitterlinden

Research output: Contribution to journalArticle

509 Citations (Scopus)

Abstract

Bone mineral density (BMD) is a heritable complex trait used in the clinical diagnosis of osteoporosis and the assessment of fracture risk. We performed meta-analysis of five genome-wide association studies of femoral neck and lumbar spine BMD in 19,195 subjects of Northern European descent. We identified 20 BMD loci that reached genome-wide significance (GWS; P <5 × 10^sup -8^), of which 13 map to regions not previously associated with this trait: 1p31.3 (GPR177), 2p21 (SPTBN1), 3p22 (CTNNB1), 4q21.1 (MEPE), 5q14 (MEF2C), 7p14 (STARD3NL), 7q21.3 (FLJ42280), 11p11.2 (LRP4, ARHGAP1, F2), 11p14.1 (DCDC5), 11p15 (SOX6), 16q24 (FOXL1), 17q21 (HDAC5) and 17q12 (CRHR1). The meta-analysis also confirmed at GWS level seven known BMD loci on 1p36 (ZBTB40), 6q25 (ESR1), 8q24 (TNFRSF11B), 11q13.4 (LRP5), 12q13 (SP7), 13q14 (TNFSF11) and 18q21 (TNFRSF11A). The many SNPs associated with BMD map to genes in signaling pathways with relevance to bone metabolism and highlight the complex genetic architecture that underlies osteoporosis and variation in BMD. [PUBLICATION ABSTRACT]
Original languageEnglish
Pages (from-to)1191-1206
JournalNature Genetics
Volume41
Issue number11
DOIs
Publication statusPublished - 2009

Fingerprint Dive into the research topics of 'Twenty bone mineral-density loci identified by large-scale meta-analysis of genome-wide association studies'. Together they form a unique fingerprint.

Cite this