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GWAS Study

Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture.

Zheng HF, Forgetta V, Hsu YH et al.

26367794 PubMed ID
GWAS Study Type
49988 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

ZH
Zheng HF
FV
Forgetta V
HY
Hsu YH
EK
Estrada K
RA
Rosello-Diez A
LP
Leo PJ
DC
Dahia CL
PK
Park-Min KH
TJ
Tobias JH
KC
Kooperberg C
KA
Kleinman A
SU
Styrkarsdottir U
LC
Liu CT
UC
Uggla C
ED
Evans DS
NC
Nielson CM
WK
Walter K
PU
Pettersson-Kymmer U
MS
McCarthy S
EJ
Eriksson J
KT
Kwan T
JM
Jhamai M
TK
Trajanoska K
MY
Memari Y
MJ
Min J
HJ
Huang J
DP
Danecek P
WB
Wilmot B
LR
Li R
CW
Chou WC
ML
Mokry LE
MA
Moayyeri A
CM
Claussnitzer M
CC
Cheng CH
CW
Cheung W
MC
Medina-Gómez C
GB
Ge B
CS
Chen SH
CK
Choi K
OL
Oei L
FJ
Fraser J
KR
Kraaij R
HM
Hibbs MA
GC
Gregson CL
PD
Paquette D
HA
Hofman A
WC
Wibom C
TG
Tranah GJ
MM
Marshall M
GB
Gardiner BB
CK
Cremin K
AP
Auer P
HL
Hsu L
RS
Ring S
TJ
Tung JY
TG
Thorleifsson G
EA
Enneman AW
VS
van Schoor NM
DG
de Groot LC
VD
van der Velde N
MB
Melin B
KJ
Kemp JP
CC
Christiansen C
SA
Sayers A
ZY
Zhou Y
CS
Calderari S
VR
van Rooij J
CC
Carlson C
PU
Peters U
BS
Berlivet S
DJ
Dostie J
UA
Uitterlinden AG
WS
Williams SR
FC
Farber C
GD
Grinberg D
LA
LaCroix AZ
HJ
Haessler J
CD
Chasman DI
GF
Giulianini F
RL
Rose LM
RP
Ridker PM
EJ
Eisman JA
NT
Nguyen TV
CJ
Center JR
NX
Nogues X
GN
Garcia-Giralt N
LL
Launer LL
GV
Gudnason V
MD
Mellström D
VL
Vandenput L
AN
Amin N
VD
van Duijn CM
KM
Karlsson MK
Ljunggren Ö
SO
Svensson O
HG
Hallmans G
RF
Rousseau F
GS
Giroux S
BJ
Bussière J
AP
Arp PP
KF
Koromani F
PR
Prince RL
LJ
Lewis JR
LB
Langdahl BL
HA
Hermann AP
JJ
Jensen JE
KS
Kaptoge S
KK
Khaw KT
RJ
Reeve J
FM
Formosa MM
XA
Xuereb-Anastasi A
ÅK
Åkesson K
MF
McGuigan FE
GG
Garg G
OJ
Olmos JM
ZM
Zarrabeitia MT
RJ
Riancho JA
RS
Ralston SH
AN
Alonso N
JX
Jiang X
GD
Goltzman D
PT
Pastinen T
GE
Grundberg E
GD
Gauguier D
OE
Orwoll ES
KD
Karasik D
DG
Davey-Smith G
SA
Smith AV
SK
Siggeirsdottir K
HT
Harris TB
ZM
Zillikens MC
VM
van Meurs JB
TU
Thorsteinsdottir U
MM
Maurano MT
TN
Timpson NJ
SN
Soranzo N
DR
Durbin R
WS
Wilson SG
NE
Ntzani EE
BM
Brown MA
SK
Stefansson K
HD
Hinds DA
ST
Spector T
CL
Cupples LA
OC
Ohlsson C
GC
Greenwood CM
JR
Jackson RD
RD
Rowe DW
LC
Loomis CA
ED
Evans DM
AC
Ackert-Bicknell CL
JA
Joyner AL
DE
Duncan EL
KD
Kiel DP
RF
Rivadeneira F
RJ
Richards JB
Chapter II

Abstract

Summary of the research findings

The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF ≤ 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotal = 53,236) and fracture (ntotal = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAF = 1.6%, replication effect size = +0.20 s.d., Pmeta = 2 × 10(-14)), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 × 10(-11); ncases = 98,742 and ncontrols = 409,511). Using an En1(cre/flox) mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size = +0.41 s.d., Pmeta = 1 × 10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.

26,320 European ancestry individuals, 2,868 whole genome sequenced European ancestry individuals, 3,547 whole exome sequenced European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

49988
Total Participants
GWAS
Study Type
Yes
Replicated
17,253 European ancestry individuals
Replication Participants
European
Ancestry
Canada, U.S., Australia, Netherlands, Poland, Denmark, Sweden, U.K., Malta, Spain
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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