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Genome-wide Association Study for Radiographic Vertebral Fractures: A Potential Role for the 16q24 BMD Locus versus Lessons Learned from Challenging Phenotype Definition.

Oei L, Estrada K, Duncan EL et al.

24513584 PubMed ID
GWAS Study Type
30506 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

OL
Oei L
EK
Estrada K
DE
Duncan EL
CC
Christiansen C
LC
Liu CT
LB
Langdahl BL
OB
Obermayer-Pietsch B
RJ
Riancho JA
PR
Prince RL
VS
van Schoor NM
ME
McCloskey E
HY
Hsu YH
EE
Evangelou E
NE
Ntzani E
ED
Evans DM
AN
Alonso N
HL
Husted LB
VC
Valero C
HJ
Hernandez JL
LJ
Lewis JR
KS
Kaptoge SK
ZK
Zhu K
CL
Cupples LA
MC
Medina-Gómez C
VL
Vandenput L
KG
Kim GS
HL
Hun Lee S
CM
Castaño-Betancourt MC
OE
Oei EH
MJ
Martinez J
DA
Daroszewska A
VD
van der Klift M
MD
Mellström D
HL
Herrera L
KM
Karlsson MK
HA
Hofman A
Ljunggren Ö
PH
Pols HA
SL
Stolk L
VM
van Meurs JB
IJ
Ioannidis JP
ZM
Zillikens MC
LP
Lips P
KD
Karasik D
UA
Uitterlinden AG
SU
Styrkarsdottir U
BM
Brown MA
KJ
Koh JM
RJ
Richards JB
RJ
Reeve J
OC
Ohlsson C
RS
Ralston SH
KD
Kiel DP
RF
Rivadeneira F
Chapter II

Abstract

Summary of the research findings

Vertebral fracture risk is a heritable complex trait. The aim of this study was to identify genetic susceptibility factors for osteoporotic vertebral fractures applying a genome-wide association study (GWAS) approach. The GWAS discovery was based on the Rotterdam Study, a population-based study of elderly Dutch individuals aged > 55 years; and comprising 329 cases and 2666 controls with radiographic scoring (McCloskey–Kanis) and genetic data. Replication of one top-associated SNP was pursued by de-novo genotyping of 15 independent studies across Europe, the United States, and Australia and one Asian study. Radiographic vertebral fracture assessment was performed using McCloskey–Kanis or Genant semi-quantitative definitions. SNPs were analyzed in relation to vertebral fracture using logistic regression models corrected for age and sex. Fixed effects inverse variance and Han–Eskin alternative random effects meta-analyses were applied. Genome-wide significance was set at p < 5 × 10− 8. In the discovery, a SNP (rs11645938) on chromosome 16q24 was associated with the risk for vertebral fractures at p = 4.6 × 10− 8. However, the association was not significant across 5720 cases and 21,791 controls from 14 studies. Fixed-effects meta-analysis summary estimate was 1.06 (95% CI: 0.98–1.14; p = 0.17), displaying high degree of heterogeneity (I2 = 57%; Qhet p = 0.0006). Under Han–Eskin alternative random effects model the summary effect was significant (p = 0.0005). The SNP maps to a region previously found associated with lumbar spine bone mineral density (LS-BMD) in two large meta-analyses from the GEFOS consortium. A false positive association in the GWAS discovery cannot be excluded, yet, the low-powered setting of the discovery and replication settings (appropriate to identify risk effect size > 1.25) may still be consistent with an effect size < 1.10, more of the type expected in complex traits. Larger effort in studies with standardized phenotype definitions is needed to confirm or reject the involvement of this locus on the risk for vertebral fractures.

329 European ancestry cases, 2,666 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

30506
Total Participants
GWAS
Study Type
Yes
Replicated
5,619 European ancestry cases, 20,598 European ancestry controls, 101 Korean ancestry cases, 1,193 Korean ancestry controls
Replication Participants
European, East Asian
Ancestry
Netherlands, Sweden, U.S., Australia, Canada, U.K., Spain, Austria, Denmark, Republic of Korea
Recruitment Country
Chapter IV

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