TY - JOUR
T1 - Genomic correlates of glatiramer acetate adverse cardiovascular effects lead to a novel locus mediating coronary risk
AU - Brænne, Ingrid
AU - Zeng, Lingyao
AU - Willenborg, Christina
AU - Tragante, Vinicius
AU - Kessler, Thorsten
AU - Willer, Cristen J.
AU - Laakso, Markku
AU - Wallentin, Lars
AU - Franks, Paul W.
AU - Salomaa, Veikko
AU - Dehghan, Abbas
AU - Meitinger, Thomas
AU - Samani, Nilesh J.
AU - Asselbergs, Folkert W.
AU - Erdmann, Jeanette
AU - Schunkert, Heribert
AU - Deloukas, Panos
AU - Kanoni, Stavroula
AU - Willenborg, Christina
AU - Farrall, Martin
AU - Assimes, Themistocles L.
AU - Thompson, John R.
AU - Ingelsson, Erik
AU - Saleheen, Danish
AU - Erdmann, Jeanette
AU - Goldstein, Benjamin A.
AU - Stirrups, Kathleen
AU - König, Inke R.
AU - Cazier, Jean-Baptiste
AU - Johansson, Åsa
AU - Hall, Alistair S.
AU - Lee, Jong-Young
AU - Willer, Cristen J.
AU - Chambers, John C.
AU - Esko, Tõnu
AU - Folkersen, Lasse
AU - Goel, Anuj
AU - Grundberg, Elin
AU - Havulinna, Aki S.
AU - Ho, Weang Kee
AU - Hopewell, Jemma C.
AU - Eriksson, Niclas
AU - Kleber, Marcus E.
AU - Kristiansson, Kati
AU - Lundmark, Per
AU - Lyytikäinen, Leo-Pekka
AU - Doney, Alex S.F.
AU - Morris, Andrew D.
AU - Kim, Hyo Soo
AU - Palmer, Colin N.A.
AU - CARDIoGRAM Consortium
AU - CARDIoGRAMplusC4D Consortium
AU - MuTHER Consortium
AU - Wellcome Trust Case Control Consortium
N1 - This work was supported by grants from
the Fondation Leducq (CADgenomics:
Understanding CAD Genes, 12CVD02), the German
Federal Ministry of Education and Research
(BMBF) within the framework of the e:Med
research and funding concept (e:AtheroSysMed,
grant 01ZX1313A-2014 and SysInflame, grant
01ZX1306A), and the European Union Seventh
Framework Programme FP7/2007-2013 under
grant agreement no HEALTH-F2-2013-601456
(CVgenes-at-target). Further grants were
received from the DFG as part of the
Sonderforschungsbereich CRC 1123 (B2).
T.K. was supported by a DZHK Rotation
Grant. I.B. was supported by the Deutsche
Forschungsgemeinschaft (DFG) cluster of
excellence ‘Inflammation at Interfaces’. F.W.A.
is supported by a Dekker scholarship-Junior
Staff Member 2014T001 – Netherlands Heart
Foundation and UCL Hospitals NIHR Biomedical
Research Centre. This work was supported by the
German Research Foundation (DFG) and the
Technical University of Munich within the funding
programme Open Access Publishing.
Competing interests: P.W.F. reports grants from
Sanofi Aventis, grants from Lilly, grants from Novo
nordisk, personal fees from Sanofi Aventis,
personal fees from Lilly. L.W. reports institutional
research grants, consultancy fees, lecture fees, and
travel support from AstraZeneca, institutional
research grants, consultancy fees, lecture fees, and
travel support from Boehringer Ingelheim,
institutional research grants, consultancy fees,
lecture fees, and travel support from Bristol-Myers
Squibb/Pfizer, grants from Merck & Co, grants
from Roche, consultancy fees from Abbott and
holds two patents involving GDF-15. This does not
alter our adherence to PLOS ONE policies on
sharing data and materials
PY - 2017/8/22
Y1 - 2017/8/22
N2 - Glatiramer acetate is used therapeutically in multiple sclerosis but also known for adverse effects including elevated coronary artery disease (CAD) risk. The mechanisms underlying the cardiovascular side effects of the medication are unclear. Here, we made use of the chromosomal variation in the genes that are known to be affected by glatiramer treatment. Focusing on genes and gene products reported by drug-gene interaction database to interact with glatiramer acetate we explored a large meta-analysis on CAD genome-wide association studies aiming firstly, to investigate whether variants in these genes also affect cardiovascular risk and secondly, to identify new CAD risk genes. We traced association signals in a 200-kb region around genomic positions of genes interacting with glatiramer in up to 60 801 CAD cases and 123 504 controls. We validated the identified association in additional 21 934 CAD cases and 76 087 controls. We identified three new CAD risk alleles within the TGFB1 region on chromosome 19 that independently affect CAD risk. The lead SNP rs12459996 was genome-wide significantly associated with CAD in the extended meta-analysis (odds ratio 1.09, p = 1.58×10−12). The other two SNPs at the locus were not in linkage disequilibrium with the lead SNP and by a conditional analysis showed p-values of 4.05 × 10−10 and 2.21 × 10−6. Thus, studying genes reported to interact with glatiramer acetate we identified genetic variants that concordantly with the drug increase the risk of CAD. Of these, TGFB1 displayed signal for association. Indeed, the gene has been associated with CAD previously in both in vivo and in vitro studies. Here we establish genome-wide significant association with CAD in large human samples.
AB - Glatiramer acetate is used therapeutically in multiple sclerosis but also known for adverse effects including elevated coronary artery disease (CAD) risk. The mechanisms underlying the cardiovascular side effects of the medication are unclear. Here, we made use of the chromosomal variation in the genes that are known to be affected by glatiramer treatment. Focusing on genes and gene products reported by drug-gene interaction database to interact with glatiramer acetate we explored a large meta-analysis on CAD genome-wide association studies aiming firstly, to investigate whether variants in these genes also affect cardiovascular risk and secondly, to identify new CAD risk genes. We traced association signals in a 200-kb region around genomic positions of genes interacting with glatiramer in up to 60 801 CAD cases and 123 504 controls. We validated the identified association in additional 21 934 CAD cases and 76 087 controls. We identified three new CAD risk alleles within the TGFB1 region on chromosome 19 that independently affect CAD risk. The lead SNP rs12459996 was genome-wide significantly associated with CAD in the extended meta-analysis (odds ratio 1.09, p = 1.58×10−12). The other two SNPs at the locus were not in linkage disequilibrium with the lead SNP and by a conditional analysis showed p-values of 4.05 × 10−10 and 2.21 × 10−6. Thus, studying genes reported to interact with glatiramer acetate we identified genetic variants that concordantly with the drug increase the risk of CAD. Of these, TGFB1 displayed signal for association. Indeed, the gene has been associated with CAD previously in both in vivo and in vitro studies. Here we establish genome-wide significant association with CAD in large human samples.
UR - http://www.scopus.com/inward/record.url?scp=85028551507&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0182999
DO - 10.1371/journal.pone.0182999
M3 - Article
C2 - 28829817
AN - SCOPUS:85028551507
SN - 1932-6203
VL - 12
SP - 1
EP - 19
JO - PLoS ONE
JF - PLoS ONE
IS - 8
M1 - e0182999
ER -