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Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels

Abstract

BACKGROUND: So far, more than 170 loci have been associated with circulating lipid levels through genome-wide association studies (GWAS). These associations are largely driven by common variants, their function is often not known, and many are likely to be markers for the causal variants. In this study we aimed to identify more new rare and low-frequency functional variants associated with circulating lipid levels. METHODS: We used the 1000 Genomes Project as a reference panel for the imputations of GWAS data from ∼60 000 individuals in the discovery stage and ∼90 000 samples in the replication stage. RESULTS: Our study resulted in the identification of five new associations with circulating lipid levels at four loci. All four loci are within genes that can be linked biologically to lipid metabolism. One of the variants, rs116843064, is a damaging missense variant within the ANGPTL4 gene.CONCLUSIONS: This study illustrates that GWAS with high-scale imputation may still help us unravel the biological mechanism behind circulating lipid levels.

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Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels

Author: van Leeuwen, Elisabeth M,Sabo, Aniko,Bis, Joshua C,Kähönen, Mika,Lehtimäki, Terho,Lyytikäinen, Leo-Pekka,Nikus, Kjell
Year: 2016
Source: https://trepo.tuni.fi/bitstream/10024/100049/1/meta-analysis_of_49549_2016.pdf
SHORT REPORT
Me a-analysis o 49 549 indi iduals impu ed wi h he
1000 Genomes P ojec e eals an exonic damaging
a ian in ANGPTL4 de e mining as ing TG le els
Elisabe h M an Leeuwen,
1
Aniko Sabo,
2
Joshua C Bis,
3
Jenni e E Hu man,
4,5
Ani Manichaikul,
6
Albe V Smi h,
7,8
Ma y F Fei osa,
9
Se kalem Demissie,
10
Pe e K Joshi,
11
Qing Duan,
12
Jona han Ma en,
4
Jan B an Klinken,
13
Ida Su akka,
14
Ilja M Nol e,
15
Weihua Zhang,
16,17
Hamdi Mba ek,
18
Rui ang Li-Gao,
19
S ella T ompe ,
20,21
Niek Ve weij,
22
E angelos E angelou,
16,23
Leo-Pekka Lyy ikäinen,
24,25
Bamidele O Tayo,
26
Jo is Deelen,
27
Pe e J an de Mos ,
15
Sande W an de Laan,
28
Dan E A king,
29
Alanna Mo ison,
30
Abbas Dehghan,
1
Osca H F anco,
1
Albe Ho man,
1
Fe nando Ri adenei a,
31
E ic J Sijb ands,
31
And e G Ui e linden,
1,31
Josy C Mychaleckyj,
6
A chie Campbell,
32
Lynne J Hocking,
33
Sandosh Padmanabhan,
34
Jenni e A B ody,
3
Kenne h M Rice,
35
Cha les C Whi e,
36
Tama a Ha is,
37
Aa on Isaacs,
1
Ha y Campbell,
11
Leslie A Lange,
12
Igo Rudan,
38
I ana Kolcic,
39
Pau Na a o,
4
Ta ijana Zemunik,
39
Veikko Salomaa,
40
The Li eLines
Coho S udy Angad S Koone ,
41
Jaspal S Koone ,
17,41,42
Benjamin Lehne,
16
William R Sco ,
16,17
Sian-Tsung Tan,
41
Eco J de Geus,
18
Yu i Milaneschi,
43
B enda W J H Penninx,
43
Gonneke Willemsen,
18
Renée de Mu se ,
19
Ian Fo d,
44
Ron T Ganse oo ,
45
Ma celo P Segu a-Lepe,
16
Olli T Rai aka i,
46,47
Jo ma S Viika i,
48,49
Kjell Nikus,
50,51
Te ence Fo es e ,
52
Colin A McKenzie,
52
An on J M de C aen,
21
Hes e M de Ruij e ,
28
CHARGE Lipids Wo king G oup
Ge a d Pas e kamp,
28,53
Ha old Sniede ,
15
Albe ine J Oldehinkel,
54
P Eline Slagboom,
27
Richa d S Coope ,
26
Mika Kähönen,
55,56
Te ho Leh imäki,
24,25
Paul Ellio ,
57
Pim an de Ha s ,
22,58
J Wou e Jukema,
20
Dennis O Mook-Kanamo i,
19,59,60
Do e I Boomsma,
18
John C Chambe s,
16,17,42
Mo is Swe z,
58,61
Samuli Ripa i,
14,62,63
Ko Willems an Dijk,
13,64
Ve onique Vi a ,
4
Oz en Polasek,
39
Ca oline Haywa d,
4
James G Wilson,
65
James F Wilson,
4,11
Vilmundu Gudnason,
7,8
S ephen S Rich,
6
B uce M Psa y,
3,66,67,68
Ing id B Bo ecki,
9
E ic Boe winkle,
2,30
Je ome I Ro e ,
69,70,71
L Ad ienne Cupples,
5,9
Co nelia M an Duijn
1
▸Addi ional ma e ial is
published online only. To iew
his file please isi he jou nal
online (h p://dx.doi.o g/10.
1136/jmedgene -2015-
103439)
Fo numbe ed a filia ions see
end o a icle.
Co espondence o
P o esso Co nelia M an
Duijn, Gene ic Epidemiology
Uni , Depa men o
Epidemiology, E asmus Medical
Cen e , Pos bus 2040,
Ro e dam 3000 CA,
The Ne he lands;
c. anduijn@e asmusmc.nl
Recei ed 4 Augus 2015
Re ised 19 No embe 2015
Accep ed 23 No embe 2015
Published Online Fi s
1 Ap il 2016
To ci e: an Leeuwen EM,
Sabo A, Bis JC, e al.J Med
Gene 2016;53:441–449.
ABSTRACT
Backg ound So a , mo e han 170 loci ha e been
associa ed wi h ci cula ing lipid le els h ough genome-
wide associa ion s udies (GWAS). These associa ions a e
la gely d i en by common a ian s, hei unc ion is o en
no known, and many a e likely o be ma ke s o he
causal a ian s. In his s udy we aimed o iden i y mo e
new a e and low- equency unc ional a ian s
associa ed wi h ci cula ing lipid le els.
Me hods We used he 1000 Genomes P ojec as a
e e ence panel o he impu a ions o GWAS da a om
∼60 000 indi iduals in he disco e y s age and ∼90 000
samples in he eplica ion s age.
Resul s Ou s udy esul ed in he iden ifica ion o fi e
new associa ions wi h ci cula ing lipid le els a ou loci.
All ou loci a e wi hin genes ha can be linked
biologically o lipid me abolism. One o he a ian s,
s116843064, is a damaging missense a ian wi hin
he ANGPTL4 gene.
Conclusions This s udy illus a es ha GWAS wi h
high-scale impu a ion may s ill help us un a el he
biological mechanism behind ci cula ing lipid le els.
INTRODUCTION
Genome-wide associa ion s udies (GWAS) o ci cu-
la ing lipid le els (high-densi y lipop o ein choles-
e ol (HDL-C), low-densi y lipop o ein choles e ol
(LDL-C), o al choles e ol (TC) and iglyce ides
(TG)) ha e iden ified o e 170 loci.
1–3
These
Open Access
Scan o access mo e
ee con en
an Leeuwen EM, e al.J Med Gene 2016;53:441–449. doi:10.1136/jmedgene -2015-103439 441
Genome-wide s udies
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s udies ha e been based on impu a ions o he HapMap e e -
ence panel
2
o p ima y e sions o he 1000 Genomes P ojec
(1kG)
1
o geno yping on he Illumina Exome Chip.
3
None has
used impu a ions wi h he Phase 1 in eg a ed elease 3 o he
1kG which allows he impu a ion o a e and low- equency
unc ional a ian s and s uc u al a ia ions wi h mo e p eci-
sion. E idence o a e and low- equency unc ional a ian s
associa ed wi h ci cula ing lipid le els comes om ecen s udies
in which exome sequencing o he NPC1L1 gene iden ified a e
a ian s associa ed wi h educed LDL-C le els and educed isk
o co ona y hea disease.
4
Mo eo e , exome sequencing o
LDLR and APOA5 iden ified a e a ian s associa ed wi h an
inc eased LDL-C and inc eased TG le els
5
and exome sequen-
cing o APOC3 iden ified a e a ian s associa ed wi h educed
TG le els and educed isk o co ona y hea disease.
6
Ou goal in his s udy was o iden i y a e and low- equency
unc ional a ian s associa ed wi h ci cula ing lipid le els in a
la ge sample size compa ed wi h he exome sequencing o can-
dida e gene app oach. To his end, we impu ed geno ypes o
s udy samples pa icipa ing in he coho s o he Coho s o
Hea and Aging Resea ch in Genomic Epidemiology
(CHARGE) conso ium using he Phase 1 in eg a ed elease V. 3
o he 1kG and conduc ed a me a-analysis o abou app oxi-
ma ely 60 000 indi iduals, ollowed by a eplica ion in an inde-
penden se o 90 000 indi iduals.
METHODS
Please see online supplemen a y me hods o comple e desc ip-
ions o he me hods. In summa y, o he disco e y s age o his
p ojec , we used he da a om 20 coho s o he CHARGE con-
so ium (see online supplemen a y me hods). All coho s we e
impu ed wi h e e ence o he 1kG e e ence panel ( e sion
Phase 1 in eg a ed elease V.3). The o al numbe o indi iduals
in he disco e y s age was 59 409 o HDL-C, 48 780 o
LDL-C, 60 024 o TC and 49 549 o TG. Online supplemen-
a y ables S1 and S2 con ain he baseline cha ac e is ics pe
coho and mo e de ails abou SNP geno yping and geno ype
impu a ions.Wi hin each coho , each a ian was es ed o
associa ion wi h each o he lipid ai s, assuming an addi i e
gene ic model. The associa ion esul s o all coho s o all a -
ian s we e combined using in e se a iance weigh ing. We used
he ollowing fil e s o he a ian s: 0.3<R
2
(measu emen o
he impu a ion quali y) ≤1.0 and expec ed mino allele coun
(expMAC=2×MAF (mino allele equency)×R
2
×sample size)
>10 p io o me a-analysis. A e me a-analysis o all a ailable
a ian s, we excluded he a ian s ha we e no p esen in a
leas ou coho s, o p e en alse posi i e findings. In o de o
selec only a ian s ha we e independen ly associa ed wi h
each o he lipid ai s, we used he genome-wide complex ai
analysis (GCTA)
7
ool, V.1.13. To iden i y no el loci we selec ed
om he lis o a ian s iden ified by GCTA, hose a ian s
loca ed mo e han 0.5 Mb away om p e iously iden ified
loci o he co esponding ai
23
and which we e significan
(p alue<5×10
−8
) in he ini ial disco e y s age. To p e en he
iden ifica ion o alse posi i e loci, we added a second eplica-
ion s age wi hin 23 independen coho s. The expe imen -wide
significance h eshold equi ed o keep ype I e o a e wi hin
he eplica ion s age a 5% is 2.63×10
−3
(Bon e oni co ec ion
based on 19 a ian s). We also me a-analysed he indi iduals o
he disco e y and eplica ion s age oge he and pe e hnici y
using a fixed-e ec app oach. We also epea ed his analysis
wi h genome-wide associa ion me a analysis (GWAMA) (V.2.0.5)
using a andom e ec app oach as he indi iduals in disco e y
and eplica ion s ages come om mul iple e hnici ies.
RESULTS
The associa ion o all a ian s wi h HDL-C, LDL-C, TC and
TG was es ed in all disco e y coho s (see online supplemen-
a y figu es S1 and S2). The associa ion esul s o all disco e y
coho s o all a ian s we e combined in a fixed-e ec
me a-analysis using METAL (see online supplemen a y figu es
S3 and S4). We significan ly eplica ed 88.1% o he loci
desc ibed by Teslo ich e al
2
despi e a sample size o abou 80%
(see online supplemen a y figu e S5 and supplemen a y able
S3). We also significan ly eplica ed 43.4% o he loci desc ibed
by he Global Lipids Gene ics Conso ium (GLGC)
3
despi e a
sample size o abou 30% (see online supplemen a y figu e S6
and supplemen a y able S4).
A condi ional and join analysis using GCTA iden ified 185
independen a ian s o HDL-C, 174 o LDL-C, 214 o TC
and 119 o TG. Nex , we excluded all a ian s ha we e no
genome-wide significan (p alue<5×10
−8
) in he ini ial disco -
e y s age, which esul ed in 56 a ian s o HDL-C, 50 o
LDL-C, 66 o TC and 37 o TG. And we excluded all a ian s
which a e wi hin 0.5 Mb o a loci p e iously published by
Teslo ich e al
2
o GLGC,
3
which esul ed in h ee a ian s o
HDL-C, h ee o LDL-C, se en o TC and six o TG. These
a ian s a e loca ed a 17 di e en loci and include one dele ion
(figu e 1 and able 1).
These 19 a ian s we e selec ed o eplica ion. The o al
numbe o indi iduals in he eplica ion s age was 84 598,
72 486, 83 739 and 73 519 o HDL-C, LDL-C, TC and TG,
espec i ely (see online supplemen a y ables S1 and S2 o
baseline cha ac e is ics and in o ma ion abou SNP geno yping
and impu a ion de ails).The sample size in he eplica ion s age
was la ge han he ini ial disco e y sample o 17 ou o he 19
a ian s. The equencies o he a ian s we e simila be ween
he disco e y and eplica ion coho s. The di ec ions o e ec
we e he same in he disco e y and eplica ion coho s o 16
ou o he 19 a ian s (see online supplemen a y figu e S7).
We used a Bon e oni co ec ed h eshold o significance
(p alue<2.63×10
−3
). Fi e ou o he 19 a ian s we e
significan ly eplica ed ( able 1): s6457374 (TC), s186696265
(LDL-C and TC), s77697917 (HDL-C) and s116843064 (TG).
The equency o hese a ian s anged be ween 0.012 and 0.249
wi hin he disco e y sample. Online supplemen a y able S5
shows he he e ogenei y o he 19 a ian s a e he me a-analysis
o all disco e y coho s and o all eplica ion coho s. We also
me a-analysed all a ian s in he indi iduals o he disco e y
coho s and eplica ion coho s combined ( able 1 and see online
supplemen a y ables S5 and S6) and pe e hnici y (see online
supplemen a y able S6) using a fixed-e ec me a-analysis
app oach. We ound ha he fi e significan ly eplica ed a ian s
we iden ified in his s udy a e only significan wi hin he
Eu opean samples, he eby no icing ha he e a e much mo e
Eu opean samples in his s udy, compa ed wi h he A ican and
Asian samples. When using a andom-e ec me a-analysis o
accoun o he mul iple e hnici ies in ou sample (see online sup-
plemen a y able S7), we ound ha o he fi e eplica ed a ian s,
one a ained genome-wide significance (p alue<5×10
−8
) and
he o he ou nominal significance (p alue<0.05).
DISCUSSION
We conduc ed a GWAS ha included GWAS da a impu ed o
he 1kG o iden i y a e and low- equency, po en ially unc-
ional, a ian s associa ed wi h ci cula ing lipid le els. To his
end, we impu ed geno ypes in app oxima ely 60 000 indi iduals
om 20 coho s in he CHARGE conso ium wi h he 1kG
442 an Leeuwen EM, e al.J Med Gene 2016;53:441–449. doi:10.1136/jmedgene -2015-103439
Genome-wide s udies
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e e ence panel. The me a-analysis, ollowed by GCTA analysis
e ealed 19 associa ions wi h MAF anging om 0.01 o 0.48.
O he 19 associa ions, we we e able o eplica e fi e in an inde-
penden sample o app oxima ely 90 000 indi iduals.
One o he fi e associa ions we iden ified is be ween TG and
s116843064, an exonic a ian in he ANGPTL4 gene on
ch omosome 19 (figu e 2C). This missense a ian changes he
amino acid glu amic acid in o lysine (Glu40Lys) and is p edic ed
o be damaging o he s uc u e and unc ion o he p o ein by
Polyphen2,
8
Mu a ionTas e
9
and likelihood a io es (LRT).
10
ANGPTL4 is significan ly associa ed wi h he Kyo o Encyclopedia
o Genes and Genomes (KEGG) e m a y acid me abolism, he
GO p ocess lipid s o age and he gene on ology (GO) cellula
componen lipid pa icle (p alue o 1.10×10
−6
, 1.31×10
−10
and 2.87×10
−18
, espec i ely, genene wo k.nl). ANGPTL4 has
been associa ed wi h HDL-C be o e using he GWAS app oach
2
and wi h TG be o e using an exome sequencing app oach
11
and
mo e ecen ly using he GWAS app oach.
1
We he e o e do no
claim his finding as no el, hough his is he smalles s udy in
which his a ian was genome-wide significan ly associa ed wi h
TG and eplica ed in an independen sample.
The second new finding we iden ified is he associa ion
be ween TC and s6457374, an in e genic a ian loca ed
on ch omosome 6 be ween he genes HLA-C and HLA-B
(figu e 2A). Bo h genes a e associa ed wi h he KEGG e m ATP
binding casse e (ABC) anspo e s (p alue o 4.29×10
−5
and
3.84×10
−5
o HLA-C and HLA-B, espec i ely, genene wo k.
nl) which is in line wi h, among o he s, a p e iously published
associa ion be ween TC and an exonic a ian in he ABCA6
gene which is also an ABC anspo e .
12
ABC anspo e s
anspo a wide a ie y o subs a es ac oss ex acellula and
in acellula memb anes, including lipids.
13
The hi d finding o his s udy is he associa ion be ween
HDL-C and s77697917, an in e genic a ian on ch omosome
17 be ween he genes SOST and DUSP3 (figu e 2B). DUSP3 is
associa ed wi h he egula ion and unc ion o
ca bohyd a e- esponsi e elemen -binding p o ein (ChREBP) in
he li e (p alue=3.03×10
−5
, genene wo k.nl). ChREBP med-
ia es he ac i a ion o se e al egula o y enzymes in ol ed in
lipogenesis.
14–18
This a ian is in high linkage disequilib ium
(D0=0.936) in he 1 kG wi h s72836561, an exonic a ian in
he gene CD300LG (MAF=0.027, β=−2.437, se
β
=0.381, p
alue=1.51×10
−10
in he disco e y s age). This missense
a ian changes he amino acid a ginine in o cys eine
(A g82Cys) and is p edic ed o be damaging o he s uc u e
and unc ion o he p o ein by Polyphen2,
8
Mu a ionTas e
9
and LRT.
10
This amino acid polymo phism has been associa ed
wi h HDL-C in exome-wide associa ion s udies
19
and TG in
GWAS
1
be o e.
The ou h a ian we iden ified is s186696265, which is
loca ed on ch omosome 6 and associa ed wi h LDL-C and TC
(figu e 2D, E). This in e genic a ian is be ween he LPA
(Lipop o ein, Lp(A)) gene and he PLG (Plasminogen) gene.
The LPA gene has been associa ed be o e wi h LDL-C and TC
be o e.
2
The epo ed lead SNP was s1564348, which in he
newe human genome e sions is anno a ed o he SLC22A1
(Solu e Ca ie Family 22 (O ganic Ca ion T anspo e ),
Membe 1) gene ins ead o he LPA gene. This explains why we
again iden ified a locus nea he LPA gene, which has been iden-
ified by o he s as well.
1
Fou een ou o he 19 a ian s we e no eplica ed despi e
simila sample sizes and simila equencies wi hin he eplica-
ion s age as compa ed wi h he disco e y s age. O hose 14
a ian s, 11 exhibi ed e ec sizes in he same di ec ion in bo h
s ages. A possible explana ion migh be ha he eplica ion
sample size is much la ge compa ed wi h ha o he disco e y
sample size. Two a ian s migh ha e lacked significan eplica-
ion due o small sample size, s60839105 and s151198427.
Figu e 1 Manha an plo s o HDL-C (A), LDL-C (B), TC (C) and TG (D) a e he me a-analysis o all disco e y coho s. Va ian s ha we e p esen
in a leas ou coho s and ha a e no wi hin 0.5 Mb o a p e iously published loci
23
we e included. The black line indica es he genome-wide
significan line (5×10
−8
), he black and ed do s he a ian s iden ified by GCTA which a e no genome-wide significan and which a e
genome-wide significan , espec i ely. HDL-C, high-densi y lipop o ein choles e ol; LDL-C, low-densi y lipop o ein choles e ol; TC, o al choles e ol;
TG, iglyce ides.
an Leeuwen EM, e al.J Med Gene 2016;53:441–449. doi:10.1136/jmedgene -2015-103439 443
Genome-wide s udies
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Table 1 The esul s o he 19 a ian s a e he me a-analysis o all disco e y coho s, all eplica ion coho s and all coho s combined
Disco e y coho s Replica ion coho s All coho s combined
T ai Ch :Posi ion s iden i ie nea es gene A1/A2 F eq N βSE
β
p Value F eq N βSE
β
p Value F eq βSE
β
p Value
HDL-C 3:72 067 255 s75909755 PROL2-EIF4E3 T/C 0.03 62 607 1.593 0.275 7.27E-09 0.03 86 252 −0.019 0.031 5.45E-01 0.03 0.002 0.031 9.57E-01
TC 6:31 272 261 s6457374 HLA-B T/C 0.75 46 839 2.339 0.339 5.32E-12 0.81 74 417 0.057 0.016 4.23E-04 0.81 0.062 0.016 1.18E-04
LDL-C 6:31 325 323 s9266229 HLA-B C/G 0.53 37 981 −2.201 0.344 1.62E-10 0.41 61 582 −0.025 0.014 7.37E-02 0.41 −0.029 0.014 4.04E-02
TG 6:36 648 275 –CDKN1A CAG/C 0.45 53 425 −0.019 0.003 7.63E-09 0.49 59 018 −0.003 0.004 5.20E-01 0.46 −0.013 0.003 5.93E-07
TG 6:13 983 949 8 s608736 –C/G 0.48 53 425 −0.019 0.003 5.67E-09 0.49 73 512 −0.008 0.003 2.67E-02 0.48 −0.013 0.002 9.10E-09
TG 6:16 085 176 6 s376563 SLC22A3 T/C 0.46 47 036 −0.02 0.003 3.37E-09 0.46 73 512 −0.001 0.003 8.22E-01 0.46 −0.010 0.002 1.36E-05
LDL-C 6:16 111 170 0 s186696265 LPA-PLG T/C 0.01 49 221 11.247 1.241 1.31E-19 0.01 59 497 0.263 0.076 5.42E-04 0.01 0.304 0.076 6.17E-05
TC 6:16 111 170 0 s186696265 LPA-PLG T/C 0.01 59 859 10.004 1.162 7.20E-18 0.01 75 821 0.238 0.075 1.46E-03 0.01 0.278 0.075 1.93E-04
HDL-C 7:80 492 357 s60839105 SEMA3C T/C 0.07 7882 3.355 0.571 4.26E-09 0.08 4971 1.067 1.228 3.85E-01 0.07 2.948 0.518 1.25E-08
TC 8:68 351 787 s151198427 CPA6 A/G 0.11 17 361 6.552 1.147 1.12E-08 0.13 1419 −2.858 2.396 2.33E-01 0.11 4.797 1.035 3.56E-06
LDL-C 9:78 728 065 s146369471 PCSK5 T/C 0.99 43 398 8.529 1.449 3.99E-09 0.99 51 367 0.068 0.103 5.11E-01 0.99 0.110 0.103 2.84E-01
TC 9:78 728 065 s146369471 PCSK5 T/C 0.99 53 787 7.978 1.413 1.64E-08 0.99 70 241 0.015 0.103 8.84E-01 0.99 0.057 0.103 5.79E-01
TC 12:51 207 704 s829112 ATF1 A/G 0.68 56 924 1.448 0.258 2.02E-08 0.73 87 659 0.009 0.012 4.63E-01 0.73 0.012 0.012 3.18E-01
TG 13:11 454 402 4 s7140110 GAS6 T/C 0.71 48 221 −0.021 0.004 3.65E-08 0.72 60 437 −0.006 0.005 2.68E-01 0.72 −0.015 0.003 5.13E-07
TG 15:43 726 625 s150844304 TP53BP1 A/C 0.97 52 720 −0.083 0.01 2.52E-17 0.95 63 884 −0.026 0.015 8.85E-02 0.96 −0.066 0.008 9.52E-16
TC 17:18 046 290 s8065026 MYO15A T/C 0.79 56 924 −1.644 0.292 1.76E-08 0.81 76 913 −0.026 0.013 4.93E-02 0.81 −0.029 0.013 2.66E-02
HDL-C 17:41 840 849 s77697917 SOST-DUSP3 T/C 0.02 45 052 −2.717 0.407 2.38E-11 0.03 67 843 −0.222 0.036 4.27E-10 0.03 −0.241 0.035 1.04E-11
TG 19:8 429 323 s116843064 ANGPTL4 A/G 0.03 35 643 −0.101 0.016 6.46E-11 0.03 44 194 −0.065 0.019 4.53E-04 0.03 −0.087 0.012 3.83E-13
TC 20:17 844 684 s2618566 BANF2-SNX5 T/G 0.65 63 300 −1.566 0.251 4.68E-10 0.60 88 946 −0.024 0.011 2.83E-02 0.60 −0.027 0.011 1.38E-02
The a ian s in bold a e he signi ican ly eplica ed a ian s.
A1 is allele 1 and A2 is allele 2, F eq is he equency o A1, βis he e ec o A1.
HDL-C, high-densi y lipop o ein choles e ol; LDL-C, low-densi y lipop o ein choles e ol; TC, o al choles e ol; TG, iglyce ides.
444 an Leeuwen EM, e al.J Med Gene 2016;53:441–449. doi:10.1136/jmedgene -2015-103439
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Bo h a ian s only pass quali y con ol in he coho s in he
disco e y s age ha con ain indi iduals o A ican ances y
(see online supplemen a y figu e S7). Al hough he e a e se e al
coho s wi h indi iduals o A ican ances y in he eplica ion
s age, bo h a ian s did no pass quali y con ol in mos coho s
which leads o he conclusion ha hese a ian s migh be
popula ion-specific. This is also sugges ed by he 1 kG da a
(Phase 3) as he equency o he C-allele is 92% in A ican
samples and 100% in he Eu opean samples o s60839105
and he equency o he G-allele is 86% in he A ican samples
and 100% in he Eu opean samples o s151198427.
Impu a ions o coho s wi h indi iduals o A ican ances y
wi h he A ican Genome Va ia ion P ojec
20
migh confi m
he associa ion o s60839105 wi h HDL-C and s151198427
wi h TC.
To ou knowledge, his is he fi s GWAS o ci cula ing lipid
le els using he Phase 1 in eg a ed elease V.3 o he 1 kG, he e-
o e we canno compa e he posi i e eplica ion a e wi h o he
s udies. Howe e , we did eplica e 88.1% o he findings o
Teslo ich e al
2
and 43.4% o he findings o GLGC
3
despi e
ou smalle sample. A high eplica ion a e is expec ed based on
he high o e lap o ou samples wi h he samples o Teslo ich
e al
2
and wi h he samples o GLGC
3
hough i indica es ha
when using he 1000 Genomes ins ead o he HapMap e e -
ence panel, we can achie e a high eplica ion a e using a
smalle sample size. We also ied o eplica e findings om
Figu e 2 The egional associa ion esul s o he ini ial me a-analysis o all disco e y coho s o (A) TC on ch omosome 6, (B) HDL-C on
ch omosome 17, (C) TG on ch omosome 19, (D) LDL-C on ch omosome 6 and (E) TC on ch omosome 6. HDL-C, high-densi y lipop o ein choles e ol;
LDL-C, low-densi y lipop o ein choles e ol; TC, o al choles e ol; TG, iglyce ides.
an Leeuwen EM, e al.J Med Gene 2016;53:441–449. doi:10.1136/jmedgene -2015-103439 445
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exome sequencing o candida e genes. The p.A g406X mu a ion
in he NPC1L1 gene ( s145297799), which was epo ed o be
associa ed wi h educed LDL-C le els and educed isk o co -
ona y hea disease,
4
is no a ailable in he 1kG e e ence panel
and, he e o e, we we e no able o eplica e his finding. Do
e al
5
desc ibed he exome sequencing o he genes LDLR and
APOA5 and iden ified a e a ian s associa ed wi h an inc eased
isk o myoca dial in a c ion, inc eased LDL-C and TG le els.
O hose a e a ian s, only wo in he LDLR gene and se en in
he APOA5 gene exis in ou disco e y me a-analysis.
Bo h LDLR a ian s a e associa ed wi h TG in ou
disco e y me a-analysis ( s34282181, β=−0.093, SE
β
=0.023,
p alue=4.827×10
−5
and s2075291, β=0.219, SE
β
=0.046,
p alue=2.092×10
−6
), bu no significan ly associa ed wi h
LDL-C ( s34282181, β=−3.939, SE
β
=1.861, p alue=0.034
and s2075291, β=−2.316, SE
β
=3.001, p alue=0.440). None
o he se en APOA5 a ian s we e significan ly associa ed wi h
TG o LDL-C in ou disco e y me a-analysis (lowes p alue is
o LDL-C wi h s72658860, β=−18.430, SE
β
=7.140, p
alue=9.848×10
−3
). The hi d published finding we ied o
eplica e, was he associa ion be ween APOC3 and TG le els.
6
O he se en a ian s epo ed, only one exis ed in ou disco -
e y me a-analysis (ch omosome 11, posi ion 116 701 354),
which is associa ed wi h TG (β=−0.343, SE
β
=0.113, p
alue=2.311×10
−3
). Those au ho s also epo ed an associa ion
be ween an APOA5 a ian ( s3135506) and TG as he mos sig-
nifican finding. This a ian was also significan ly associa ed
wi h TG in ou disco e y me a-analysis (β=0.129, SE
β
=0.007,
p alue=1.099×10
−87
). These eplica ion e o s demons a e
ha many o he published esul s o exome sequencing can be
eplica ed h ough he use o 1 kG impu a ions.
In conclusion, we iden ified and eplica ed fi e a ian s asso-
cia ed wi h ci cula ing lipid le els. These a ian s a e in genes
ha can be linked biologically o lipid me abolism. Al hough
he e we e a la ge numbe o a ian s ha did no eplica e a
he accep ed genome-wide significance h eshold, he low-cos ,
hypo hesis- ee app oach ha we applied unco e ed fi e a -
ian s. This s udy, he e o e, illus a es ha GWAS may s ill help
us un a el he biological mechanisms behind ci cula ing lipid
le els.
Au ho a filia ions
1
Depa men o Epidemiology, E asmus Medical Cen e , Ro e dam, The Ne he lands
2
Human Genome Sequencing Cen e , Baylo College o Medicine, Hous on, USA
3
Depa men o Medicine, Uni e si y o Washing on, Sea le, USA
4
Medical Resea ch Council Human Gene ics Uni , Ins i u e o Gene ics and Molecula
Medicine, Uni e si y o Edinbu gh, Edinbu gh, UK
5
The F amingham Hea S udy, NHLBI Ca dio ascula Epidemiology and Human
Genomics B anch, F amingham, USA
6
Cen e o Public Heal h Genomics, Uni e si y o Vi ginia, Cha lo es ille, USA
7
Icelandic Hea Associa ion, Kopa ogu , Iceland
8
Facul y o Medicine, Uni e si y o Iceland, Reykja ik, Iceland
9
Depa men o Gene ics, Washing on Uni e si y School o Medicine, S Louis, USA
10
Depa men o Bios a is ics, Bos on Uni e si y School o Public Heal h, Bos on,
USA
11
Ushe Ins i u e o Popula ion Heal h Sciences and In o ma ics, Uni e si y o
Edinbu gh, Edinbu gh, UK
12
Depa men o Gene ics, Uni e si y o No h Ca olina, Chapel Hill, USA
13
Depa men o Human Gene ics, Leiden Uni e si y Medical Cen e , Leiden, The
Ne he lands
14
Human Genomics Uni , Ins i u e o Molecula Medicine, Uni e si y o Helsinki,
Helsinki, Finland
15
Depa men o Epidemiology, Uni e si y o G oningen, Uni e si y Medical Cen e
G oningen, G oningen, The Ne he lands
16
Depa men o Epidemiology and Bios a is ics, School o Public Heal h, Impe ial
College London, London, UK
17
Depa men o Ca diology, Ealing Hospi al NHS T us , Middlesex, UK
18
Depa men o Biological Psychology, VU Uni e si y Ams e dam and EMGO+
Ins i u e o Heal h and Ca e Resea ch, Ams e dam, The Ne he lands
19
Depa men o Clinical Epidemiology, Leiden Uni e si y Medical Cen e , Leiden,
The Ne he lands
20
Depa men o Ca diology, Leiden Uni e si y Medical Cen e , Leiden, The
Ne he lands
21
Depa men o Ge on ology and Ge ia ics, Leiden Uni e si y Medical Cen e ,
Leiden, The Ne he lands
22
Depa men o Ca diology, Uni e si y Medical Cen e G oningen, Uni e si y o
G oningen, G oningen, The Ne he lands
23
Depa men o Hygiene and Epidemiology, Uni e si y o Ioannina Medical School,
Ioannina, G eece
24
Depa men o Clinical Chemis y, Fimlab Labo a o ies, Tampe e, Finland
25
Depa men o Clinical Chemis y, Uni e si y o Tampe e School o Medicine,
Tampe e, Finland
26
Public Heal h Sciences, Loyola Uni e si y Chicago S i ch School o Medicine,
Maywood, USA
27
Depa men o Molecula Epidemiology, Leiden Uni e si y Medical Cen e , Leiden,
The Ne he lands
28
Labo a o y o Expe imen al Ca diology, Uni e si y Medical Cen e U ech , U ech ,
The Ne he lands
29
McKusick-Na hans Ins i u e o Gene ic Medicine, Johns Hopkins Uni e si y School
o Medicine, Bal imo e, USA
30
Human Gene ics Cen e , The Uni e si y o Texas School o Public Heal h, Hous on,
USA
31
Depa men o In e nal Medicine, E asmus Medical Cen e , Ro e dam, The
Ne he lands
32
Gene a ion Sco land, Cen e o Genomic and Expe imen al Medicine,
Ins i u e o Gene ics and Molecula Medicine, Uni e si y o Edinbu gh, Edinbu gh,
UK
33
Musculoskele al Resea ch P og amme, Di ision o Applied Medicine, Uni e si y o
Abe deen, Abe deen, UK
34
B i ish Hea Founda ion Glasgow Ca dio ascula Resea ch Cen e, Ins i u e o
Ca dio ascula and Medical Sciences, College o Medical, Ve e ina y and Li e
Sciences, Uni e si y o Glasgow, Glasgow, UK
35
Depa men o Bios a is ics, Uni e si y o Washing on, Sea le, USA
36
B igham and Women’s Hospi al, Bos on, USA
37
Labo a o y o Epidemiology and Popula ion Sciences, Na ional Ins i u e on Aging,
Na ional Ins i u es o Heal h, Be hesda, USA
38
Cen e o Popula ion Heal h Sciences, Uni e si y o Edinbu gh, Edinbu gh, UK
39
Facul y o Medicine, Uni e si y o Spli , Spli , C oa ia
40
Depa men o Heal h, Na ional Ins i u e o Heal h and Wel a e, Helsinki, Finland
41
Ca dio ascula Science, Na ional Hea and Lung Ins i u e, Impe ial College
London, London, UK
42
Impe ial College Heal hca e NHS T us, Impe ial College London, London, UK
43
Depa men o Psychia y, VU Uni e si y Medical Cen e Ams e dam/GGZinGees
and EMGO+ Ins i u e o Heal h and Ca e Resea ch and Neu oscience Campus
Ams e dam, Ams e dam, The Ne he lands
44
Robe son Cen e o Bios a is ics, Uni e si y o Glasgow, Glasgow, UK
45
Depa men o Neph ology, Uni e si y o G oningen, Uni e si y Medical Cen e
G oningen, G oningen, The Ne he lands
46
Depa men o Clinical Physiology, Tu ku Uni e si y Hospi al, Tu ku, Finland
47
Resea ch Cen e o Applied and P e en i e Ca dio ascula Medicine, Uni e si y o
Tu ku, Tu ku, Finland
48
Di ision o Medicine, Tu ku Uni e si y Hospi al, Tu ku, Finland
49
Depa men o Medicine, Uni e si y o Tu ku, Tu ku, Finland
50
Depa men o Ca diology, Hea Hospi al, Tampe e Uni e si y Hospi al, Tampe e,
Finland
51
School o Medicine, Uni e si y o Tampe e, Tampe e, Finland
52
T opical Me abolism Resea ch Uni , T opical Medicine Resea ch Ins i u e, Uni e si y
o he Wes Indies, Mona, Jamaica
53
Labo a o y o Clinical Chemis y and Hema ology, Uni e si y Medical Cen e
U ech , U ech , The Ne he lands
54
Depa men o Psychia y, Uni e si y o G oningen, Uni e si y Medical Cen e
G oningen, G oningen, The Ne he lands
55
Depa men o Clinical Physiology, Tampe e Uni e si y Hospi al, Tampe e, Finland
56
Depa men o Clinical Physiology, Uni e si y o Tampe e School o Medicine,
Tampe e, Finland
57
Depa men o Epidemiology and Bios a is ics, MRC-PHE Cen e o En i onmen
and Heal h, School o Public Heal h, Impe ial College London, London, UK
58
Depa men o Gene ics, Uni e si y o G oningen, Uni e si y Medical Cen e
G oningen, G oningen, The Ne he lands
59
Depa men o Public Heal h and P ima y Ca e, Leiden Uni e si y Medical Cen e ,
Leiden, The Ne he lands
60
Epidemiology Sec ion, Depa men o BESC, King Faisal Medical Hospi al and
Resea ch Cen e, Riyadh, Saudi A abia
61
Genomics Coo dina ion Cen e , Uni e si y o G oningen, Uni e si y Medical Cen e
G oningen, G oningen, The Ne he lands
62
Public Heal h, Uni e si y o Helsinki, Helsinki, Finland
63
Wellcome T us Sange Ins i u e, UK
446 an Leeuwen EM, e al.J Med Gene 2016;53:441–449. doi:10.1136/jmedgene -2015-103439
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64
Depa men o Gene al In e nal Medicine, Leiden Uni e si y Medical Cen e ,
Leiden, The Ne he lands
65
Physiology and Biophysics, Uni e si y o Mississippi Medical Cen e , Jackson, USA
66
Depa men o Epidemiology, Uni e si y o Washing on, Sea le, USA
67
Depa men o Heal h Se ices, Uni e si y o Washing on, Sea le, USA
68
G oup Heal h Coope a i e, G oup Heal h Resea ch Ins i u e, Sea le, USA
69
Ins i u e o T ansla ional Genomics and Popula ion Sciences, Los Angeles
BioMedical Resea ch Ins i u e a Ha bo -UCLA Medical Cen e , To ance, USA
70
Di ision o Genomic Ou comes, Depa men o Pedia ics, Ha bo -UCLA Medical
Cen e , To ance, USA
71
Depa men s o Pedia ics, Medicine, and Human Gene ics, UCLA, Los Angeles,
USA
Acknowledgemen s The au ho s especially hank all olun ee s who pa icipa ed
in he s udy.
The au ho s hank he s a and pa icipan s o he ARIC s udy o hei impo an
con ibu ions. In as uc u e was pa ly suppo ed by G an Numbe UL1RR025005,
a componen o he Na ional Ins i u es o Heal h and NIH Roadmap o Medical
Resea ch.
We a e g a e ul o all s udy pa icipan s and hei ela i es, gene al p ac i ione s
and neu ologis s o hei con ibu ions o he ERF s udy and o P Ve aa o he
help in genealogy, J Ve gee o he supe ision o he labo a o y wo k and P
Snijde s o his help in da a collec ion.
The au ho s hank Beh ooz Alizadeh, Annemieke Boesjes, Ma cel B uinenbe g,
Noo je Fes en, Pim an de Ha s , Ilja Nol e, Lude F anke, Mi a Valimohammadi o
hei help in c ea ing he GWAS da abase, and Rob Bie inga, Joos Kee s, René
Oos e go, Rosalie Visse , Judi h Vonk o hei wo k ela ed o da a collec ion and
alida ion. The au ho s a e g a e ul o he s udy pa icipan s, he s a om he
Li eLines Coho S udy and he con ibu ing esea ch cen es deli e ing da a o
Li eLines and he pa icipa ing gene al p ac i ione s and pha macis s.
MESA and he MESA SHARe p ojec a e conduc ed and suppo ed by con ac s
N01-HC-95159, N01-HC-95160, N01-HC-95161, N01-HC-95162, N01-HC-95163,
N01-HC-95164, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168,
N01-HC-95169, UL1-TR-001079 and UL1-TR-000040 om he Na ional Hea ,
Lung, and Blood Ins i u e (NHLBI). Funding o MESA SHARe geno yping was
p o ided by NHLBI Con ac N02-HL6-4278. The p o ision o geno yping da a was
suppo ed in pa by he Na ional Cen e o Ad ancing T ansla ional Sciences, CTSI
g an UL1TR000124, and he Na ional Ins i u e o Diabe es and Diges i e and
Kidney Disease Diabe es Resea ch Cen e (DRC) g an DK063491 o he Sou he n
Cali o nia Diabe es Endoc inology Resea ch Cen e . This publica ion was de eloped
unde a STAR esea ch assis ance ag eemen , No. RD831697 (MESA Ai ), awa ded
by he U.S En i onmen al p o ec ion Agency. I has no been o mally e iewed by
he EPA. The iews exp essed in his documen a e solely hose o he au ho s and
he EPA does no endo se any p oduc s o comme cial se ices men ioned in his
publica ion.
The au ho s o he NEO s udy hank all indi iduals who pa icipa ed in he
Ne he lands Epidemiology in Obesi y s udy, all pa icipa ing gene al p ac i ione s o
in i ing eligible pa icipan s and all esea ch nu ses o collec ion o he da a. The
au ho s hank he NEO s udy g oup, Pe a Noo dijk, Pa an Beelen and Ingebo g de
Jonge o he coo dina ion, lab and da a managemen o he NEO s udy. The
geno yping in he NEO s udy was pe o med a he Cen e Na ional de Géno ypage
(Pa is, F ance), headed by Jean-F ancois Deleuze.
The au ho s o he ORCADES s udy would like o acknowledge he in aluable
con ibu ions o Lo aine Ande son and he esea ch nu ses in O kney, he
adminis a i e eam in Edinbu gh and he people o O kney.
On behal o he Ro e dam S udy, he au ho s hank Pascal A p, Mila Jhamai,
Ma ijn Ve ke k, Lizbe h He e a and Ma jolein Pe e s o hei help in c ea ing he
GWAS da abase, and Ka ol Es ada and Maksim V. S uchalin o hei suppo in
c ea ion and analysis o impu ed da a. The au ho s a e g a e ul o he s udy
pa icipan s, he s a om he Ro e dam S udy and he pa icipa ing gene al
p ac i ione s and pha macis s.
Collabo a o s The Li eLines Coho S udy: see online supplemen a y appendix
1. CHARGE Lipids Wo king G oup: see online supplemen a y appendix 2.
Con ibu o s EM L o ganised he s udy and designed he s udy wi h subs an ial
inpu o AI, LAC and CM D. EM L d a ed he manusc ip wi h subs an ial inpu
om CM D. All au ho s had he oppo uni y o commen on he manusc ip . Da a
collec ion, GWAS and s a is ical analysis was done by SW dL, HMdR, GP (AEGS);
AVS, VG, TBH (AGES); EE, MPS, PE (Ai wa e); AS, DEA, ACM, EB (ARIC); JCB, JAB,
KMC, BMP (CHS); AI, EM L, CM D (ERF); MFF, IBB (FamHS); LPL, KN, MK
(FINCAVAS); IS, VS, SR (FINRISK); SD, CCW, LAC (FHS); JEH, AC, LJH, SP (GS); QD,
LAL, JGW (JHS); JEH, IK, PN, OP (CROATIA Ko cula); IMN, MS (Li elines); JD,
AJMdC, PES (LLS); WZ, JSK, BL, WRS, STT, JCC (LOLIPOP); BOT, TF, CAM, RSC
(Loyola); AM, JCM, SSR, JIR (MESA); RLG, RdM, DOMK (NEO); HM, EJdG, YM,
BWJHP, GW, DIB (NTR-NESDA); PKJ, HC, JFW (ORCADES); NV, RTG, P dH
(PREVEND); ST, IF, JWJ (PROSPER); EM L, AD, OHF, AH, FR, EJS, AGU, CM D (RS);
JEH, TZ, VV (CROATIA Spli ); PJ dM, AJO, HS (TRAILS); JEH, JM, CH, IR (CROATIA
Vis); JSV, OTR, TL (YFS). EM L pe o med he me a-analysis and all ollow-up s eps.
Biological associa ion o loci and bioin o ma ics we e ca ied ou by EM L, JB K,
KW D and CM D.
Funding The AGES S udy has been unded by NIH con ac s N01-AG-1-2100 and
HHSN271201200022C, he NIA In amu al Resea ch P og am, Hja a e nd ( he
Icelandic Hea Associa ion), and he Al hingi ( he Icelandic Pa liamen ).
The Ai wa e S udy is unded by he Home O fice (g an numbe 780-TETRA) wi h
addi ional suppo om he Na ional Ins i u e o Heal h Resea ch (NIHR) Impe ial
College Heal hca e NHS T us (ICHNT) and Impe ial College Biomedical Resea ch
Cen e (BRC). PE is an NIHR Senio In es iga o and is suppo ed by he ICHNT and
Impe ial College BRC, he MRC-PHE Cen e o En i onmen and Heal h and he
NIHR Heal h P o ec ion Resea ch Uni on Heal h Impac o En i onmen al Haza ds.
The ARIC S udy is ca ied ou as a collabo a i e s udy suppo ed by Na ional
Hea , Lung, and Blood Ins i u e (NHLBI) con ac s (HHSN268201100005C,
HHSN268201100006C, HHSN268201100007C, HHSN268201100008C,
HHSN268201100009C, HHSN268201100010C, HHSN268201100011C, and
HHSN268201100012C), R01HL087641, R01HL59367 and R01HL086694; Na ional
Human Genome Resea ch Ins i u e con ac U01HG004402; and Na ional Ins i u es
o Heal h con ac HHSN268200625226C.
Ca dio ascula Heal h S udy: This CHS esea ch was suppo ed by NHLBI con ac s
HHSN268201200036C, HHSN268200800007C, N01HC55222, N01HC85079,
N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086; and
NHLBI g an s U01HL080295, R01HL087652, R01HL105756, R01HL103612, and
R01HL120393 wi h addi ional con ibu ion om he Na ional Ins i u e o
Neu ological Diso de s and S oke (NINDS). Addi ional suppo was p o ided h ough
R01AG023629 om he Na ional Ins i u e on Aging (NIA). A ull lis o p incipal
CHS in es iga o s and ins i u ions can be ound a CHS-NHLBI.o g. The p o ision o
geno yping da a was suppo ed in pa by he Na ional Cen e o Ad ancing
T ansla ional Sciences, CTSI g an UL1TR000124, and he Na ional Ins i u e o
Diabe es and Diges i e and Kidney Disease Diabe es Resea ch Cen e (DRC) g an
DK063491 o he Sou he n Cali o nia Diabe es Endoc inology Resea ch Cen e . The
con en is solely he esponsibili y o he au ho s and does no necessa ily ep esen
he o ficial iews o he Na ional Ins i u es o Heal h.
CROATIA-Ko cula, CROATIA-Spli and CROATIA-Vis (CR-Ko cula, CR-Spli , CR-Vis)
we e unded by he Medical Resea ch Council UK, The C oa ian Minis y o Science,
Educa ion and Spo s (g an 216-1080315-0302), he Eu opean Union amewo k
p og am 6 EUROSPAN p ojec (con ac no. LSHG-CT-2006-018947) and he
C oa ian Science Founda ion (g an 8875).
The ERF s udy as a pa o EUROSPAN (Eu opean Special Popula ions Resea ch
Ne wo k) was suppo ed by Eu opean Commission FP6 STRP g an numbe 018947
(LSHG-CT-2006-01947) and also ecei ed unding om he Eu opean Communi y’s
Se en h F amewo k P og amme (FP7/2007-2013)/g an ag eemen
HEALTH-F4-2007-201413 by he Eu opean Commission unde he p og amme
“Quali y o Li e and Managemen o he Li ing Resou ces”o 5 h F amewo k
P og amme (no. QLG2-CT-2002-01254). The ERF s udy was u he suppo ed by
ENGAGE conso ium and CMSB. High- h oughpu analysis o he ERF da a was
suppo ed by join g an om Ne he lands O ganisa ion o Scien ific Resea ch and
he Russian Founda ion o Basic Resea ch (NWO-RFBR 047.017.043). Exome
sequencing in ERF was suppo ed by he ZonMw g an (p ojec 91111025).
The Family Hea S udy was suppo ed by he by g an s R01-HL-087700,
R01-HL-088215 and R01-HL-117078 om he Na ional Hea , Lung, and Blood
Ins i u e.
Gene a ion Sco land ecei ed co e unding om he Chie Scien is O fice o he
Sco ish Go e nmen Heal h Di ec o a e CZD/16/6 and he Sco ish Funding Council
HR03006. Geno yping o he GS:SFHS samples was ca ied ou by he Gene ics Co e
Labo a o y a he Wellcome T us Clinical Resea ch Facili y, Edinbu gh, Sco land and
was unded by he UK’s Medical Resea ch Council.
The Li eLines Coho S udy, and gene a ion and managemen o GWAS geno ype
da a o he Li eLines Coho S udy is suppo ed by he Ne he lands O ganiza ion o
Scien ific Resea ch NWO (g an 175.010.2007.006), he Economic S uc u e
Enhancing Fund (FES) o he Du ch go e nmen , he Minis y o Economic A ai s,
he Minis y o Educa ion, Cul u e and Science, he Minis y o Heal h, Wel a e and
Spo s, he No he n Ne he lands Collabo a ion o P o inces (SNN), he P o ince o
G oningen, Uni e si y Medical Cen e G oningen, he Uni e si y o G oningen, Du ch
Kidney Founda ion and Du ch Diabe es Resea ch Founda ion.
The Leiden Longe i y S udy (LLS) has ecei ed unding om he Eu opean Union’s
Se en h F amewo k P og amme (FP7/2007–2011) unde g an ag eemen no
259679. This s udy was suppo ed by a g an om he Inno a ion-O ien ed Resea ch
P og am on Genomics (Sen e No em IGE05007), he Cen e o Medical Sys ems
Biology, and he Ne he lands Conso ium o Heal hy Ageing (g an 050-060-810),
all in he amewo k o he Ne he lands Genomics Ini ia i e, Ne he lands
O ganiza ion o Scien ific Resea ch (NWO), Unile e Colwo h and by BBMRI-NL, a
Resea ch In as uc u e financed by he Du ch go e nmen (NWO 184.021.007).
The LOLIPOP s udy is suppo ed by he Na ional Ins i u e o Heal h Resea ch
(NIHR) Comp ehensi e Biomedical Resea ch Cen e Impe ial College Heal hca e NHS
T us , he B i ish Hea Founda ion (SP/04/002), he Medical Resea ch Council
(G0601966,G0700931), he Wellcome T us (084723/Z/08/Z) he NIHR
an Leeuwen EM, e al.J Med Gene 2016;53:441–449. doi:10.1136/jmedgene -2015-103439 447
Genome-wide s udies
g oup.bmj.com on No embe 11, 2016 - Published by h p://jmg.bmj.com/Downloaded om
(RP-PG-0407-10371),Eu opean Union FP7 (EpiMig an , 279143) and Ac ion on
Hea ing Loss (G51). The wo k was ca ied ou in pa a he NIHR/Wellcome T us
Impe ial Clinical Resea ch Facili y.
The NEO s udy is suppo ed by he pa icipa ing Depa men s, he Di ision and
he Boa d o Di ec o s o he Leiden Uni e si y Medical Cen e , and by he Leiden
Uni e si y, Resea ch P ofile A ea ‘Vascula and Regene a i e Medicine’. Dennis
Mook-Kanamo i is suppo ed by Du ch Science O ganiza ion (ZonMW-VENI G an
916.14.023).
ORCADES was suppo ed by he Chie Scien is O fice o he Sco ish
Go e nmen , he Royal Socie y, he MRC Human Gene ics Uni , A h i is Resea ch
UK and he Eu opean Union amewo k p og am 6 EUROSPAN p ojec (con ac no.
LSHG-CT-2006-018947). DNA ex ac ions we e pe o med a he Wellcome T us
Clinical Resea ch Facili y in Edinbu gh.
The PROSPER s udy was suppo ed by an in es iga o ini ia ed g an ob ained
om B is ol-Mye s Squibb. JWJ is an Es ablished Clinical In es iga o o he
Ne he lands Hea Founda ion (g an 2001 D 032). Suppo o geno yping was
p o ided by he se en h amewo k p og am o he Eu opean commission (g an
223004) and by he Ne he lands Genomics Ini ia i e (Ne he lands Conso ium o
Heal hy Aging g an 050-060-810).
The gene a ion and managemen o GWAS geno ype da a o he Ro e dam
S udy is suppo ed by he Ne he lands O ganisa ion o Scien ific Resea ch NWO
In es men s (n . 175.010.2005.011, 911-03-012). This s udy is unded by he
Resea ch Ins i u e o Diseases in he Elde ly (014-93-015; RIDE2), he Ne he lands
Genomics Ini ia i e (NGI)/Ne he lands O ganisa ion o Scien ific Resea ch (NWO)
p ojec n . 050-060-810. The Ro e dam S udy is unded by E asmus Medical Cen e
and E asmus Uni e si y, Ro e dam, Ne he lands O ganiza ion o he Heal h
Resea ch and De elopmen (ZonMw), he Resea ch Ins i u e o Diseases in he
Elde ly (RIDE), he Minis y o Educa ion, Cul u e and Science, he Minis y o
Heal h, Wel a e and Spo s, he Eu opean Commission (DG XII), and he Municipali y
o Ro e dam.
Pa icipa ing cen es o TRAILS include he Uni e si y Medical Cen e and
Uni e si y o G oningen, he E asmus Uni e si y Medical Cen e Ro e dam, he
Uni e si y o U ech , he Radboud Medical Cen e Nijmegen, and he Pa nassia
Ba o g oup, all in he Ne he lands. TRAILS has been financially suppo ed by a ious
g an s om he Ne he lands O ganiza ion o Scien ific Resea ch NWO (Medical
Resea ch Council p og am g an GB-MW 940-38-011; ZonMW B ainpowe g an
100-001-004; ZonMw Risk Beha io and Dependence g an s 60-60600-97-118;
ZonMw Cul u e and Heal h g an 261-98-710; Social Sciences Council medium-sized
in es men g an s GB-MaGW 480-01-006 and GB-MaGW 480-07-001; Social
Sciences Council p ojec g an s GB-MaGW 452-04-314 and GB-MaGW 452-06-004;
NWO la ge-sized in es men g an 175.010.2003.005; NWO Longi udinal Su ey
and Panel Funding 481-08-013 and 481-11-001), he Du ch Minis y o Jus ice
(WODC), he Eu opean Science Founda ion (Eu oSTRESS p ojec FP-006), Biobanking
and Biomolecula Resou ces Resea ch In as uc u e BBMRI-NL (CP 32), and he
pa icipa ing uni e si ies.
Compe ing in e es s BMP se es on he DSMB o a clinical ial o a de ice
unded by he manu ac u e (Zoll Li eCo ) and on he S ee ing Commi ee o he
Yale Open Da a Access P ojec unded by Johnson & Johnson. OHF wo ks in
E asmusAGE, a cen e o aging esea ch ac oss he li e cou se unded by Nes lé
Nu i ion (Nes ec); Me agenics; and AXA. Nes lé Nu i ion (Nes ec); Me agenics; and
AXA had no ole in design and conduc o he s udy; collec ion, managemen ,
analysis, and in e p e a ion o he da a; and p epa a ion, e iew o app o al o he
manusc ip .
Pa ien consen Ob ained.
E hics app o al All s udies we e pe o med wi h he app o al o he Local
Medical E hics Commi ees.
P o enance and pee e iew No commissioned; ex e nally pee e iewed.
Da a sha ing s a emen All me a-analysis esul s and he esul s o he ollow-up
analysis o his p ojec a e a ailable.
Open Access This is an Open Access a icle dis ibu ed in acco dance wi h he
C ea i e Commons A ibu ion Non Comme cial (CC BY-NC 4.0) license, which
pe mi s o he s o dis ibu e, emix, adap , build upon his wo k non-comme cially,
and license hei de i a i e wo ks on di e en e ms, p o ided he o iginal wo k is
p ope ly ci ed and he use is non-comme cial. See: h p://c ea i ecommons.o g/
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