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Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects.

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Medina-Gomez AJHG Accepted FULL and SI manuscript.pdfAccepted version3.34 MBAdobe PDFView/Open
Title: Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects.
Authors: Medina-Gomez, C
Kemp, JP
Trajanoska, K
Luan, J
Chesi, A
Ahluwalia, TS
Mook-Kanamori, DO
Ham, A
Hartwig, FP
Evans, DS
Joro, R
Nedeljkovic, I
Zheng, H-F
Zhu, K
Atalay, M
Liu, C-T
Nethander, M
Broer, L
Porleifsson, G
Mullin, BH
Handelman, SK
Nalls, MA
Jessen, LE
Heppe, DHM
Richards, JB
Wang, C
Chawes, B
Schraut, KE
Amin, N
Wareham, N
Karasik, D
Van der Velde, N
Ikram, MA
Zemel, BS
Zhou, Y
Carlsson, CJ
Liu, Y
McGuigan, FE
Boer, CG
Bønnelykke, K
Ralston, SH
Robbins, JA
Walsh, JP
Zillikens, MC
Langenberg, C
Li-Gao, R
Williams, FMK
Harris, TB
Akesson, K
Jackson, RD
Sigurdsson, G
Den Heijer, M
Van der Eerden, BCJ
Van de Peppel, J
Spector, TD
Pennell, C
Horta, BL
Felix, JF
Zhao, JH
Wilson, SG
De Mutsert, R
Bisgaard, H
Styrkársdóttir, U
Jaddoe, VW
Orwoll, E
Lakka, TA
Scott, R
Grant, SFA
Lorentzon, M
Van Duijn, CM
Wilson, JF
Stefansson, K
Psaty, BM
Kiel, DP
Ohlsson, C
Ntzani, E
Van Wijnen, AJ
Forgetta, V
Ghanbari, M
Logan, JG
Williams, GR
Bassett, JHD
Croucher, PI
Evangelou, E
Uitterlinden, AG
Ackert-Bicknell, CL
Tobias, JH
Evans, DM
Rivadeneira, F
Item Type: Journal Article
Abstract: Bone mineral density (BMD) assessed by DXA is used to evaluate bone health. In children, total body (TB) measurements are commonly used; in older individuals, BMD at the lumbar spine (LS) and femoral neck (FN) is used to diagnose osteoporosis. To date, genetic variants in more than 60 loci have been identified as associated with BMD. To investigate the genetic determinants of TB-BMD variation along the life course and test for age-specific effects, we performed a meta-analysis of 30 genome-wide association studies (GWASs) of TB-BMD including 66,628 individuals overall and divided across five age strata, each spanning 15 years. We identified variants associated with TB-BMD at 80 loci, of which 36 have not been previously identified; overall, they explain approximately 10% of the TB-BMD variance when combining all age groups and influence the risk of fracture. Pathway and enrichment analysis of the association signals showed clustering within gene sets implicated in the regulation of cell growth and SMAD proteins, overexpressed in the musculoskeletal system, and enriched in enhancer and promoter regions. These findings reveal TB-BMD as a relevant trait for genetic studies of osteoporosis, enabling the identification of variants and pathways influencing different bone compartments. Only variants in ESR1 and close proximity to RANKL showed a clear effect dependency on age. This most likely indicates that the majority of genetic variants identified influence BMD early in life and that their effect can be captured throughout the life course.
Issue Date: 4-Jan-2018
Date of Acceptance: 30-Nov-2017
URI: http://hdl.handle.net/10044/1/56081
DOI: https://dx.doi.org/10.1016/j.ajhg.2017.12.005
ISSN: 0002-9297
Publisher: Elsevier
Start Page: 88
End Page: 102
Journal / Book Title: AJHG
Volume: 102
Issue: 1
Copyright Statement: © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Wellcome Trust
Funder's Grant Number: 101123/Z/13/A
Keywords: BMD
CREB3L1
ESR1
GWASs
RANKL
age-dependent effects
bone mineral density
fracture
genetic correlation
genome-wide association studies
meta-regression
total-body DXA
06 Biological Sciences
11 Medical And Health Sciences
Genetics & Heredity
Publication Status: Published
Appears in Collections:Department of Medicine (up to 2019)