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Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function

Wild, Philipp S.; Felix, Janine F.; Schillert, Arne; Teumer, Alexander; Chen, Ming-Huei; Leening, Maarten J.G.; Völker, Uwe; Großmann, Vera; Brody, Jennifer A and Irvin, Marguerite R., et al. (2017) In Journal of Clinical Investigation 127(5). p.1798-1812
Abstract

BACKGROUND. Understanding the genetic architecture of cardiac structure and function may help to prevent and treat heart disease. This investigation sought to identify common genetic variations associated with inter-individual variability in cardiac structure and function. METHODS. A GWAS meta-analysis of echocardiographic traits was performed, including 46,533 individuals from 30 studies (EchoGen consortium). The analysis included 16 traits of left ventricular (LV) structure, and systolic and diastolic function. RESULTS. The discovery analysis included 21 cohorts for structural and systolic function traits (n = 32,212) and 17 cohorts for diastolic function traits (n = 21,852). Replication was performed in 5 cohorts (n = 14,321) and 6... (More)

BACKGROUND. Understanding the genetic architecture of cardiac structure and function may help to prevent and treat heart disease. This investigation sought to identify common genetic variations associated with inter-individual variability in cardiac structure and function. METHODS. A GWAS meta-analysis of echocardiographic traits was performed, including 46,533 individuals from 30 studies (EchoGen consortium). The analysis included 16 traits of left ventricular (LV) structure, and systolic and diastolic function. RESULTS. The discovery analysis included 21 cohorts for structural and systolic function traits (n = 32,212) and 17 cohorts for diastolic function traits (n = 21,852). Replication was performed in 5 cohorts (n = 14,321) and 6 cohorts (n = 16,308), respectively. Besides 5 previously reported loci, the combined meta-analysis identified 10 additional genome-wide significant SNPs: rs12541595 near MTSS1 and rs10774625 in ATXN2 for LV end-diastolic internal dimension; rs806322 near KCNRG, rs4765663 in CACNA1C, rs6702619 near PALMD, rs7127129 in TMEM16A, rs11207426 near FGGY, rs17608766 in GOSR2, and rs17696696 in CFDP1 for aortic root diameter; and rs12440869 in IQCH for Doppler transmitral A-wave peak velocity. Findings were in part validated in other cohorts and in GWAS of related disease traits. The genetic loci showed associations with putative signaling pathways, and with gene expression in whole blood, monocytes, and myocardial tissue. CONCLUSION. The additional genetic loci identified in this large meta-analysis of cardiac structure and function provide insights into the underlying genetic architecture of cardiac structure and warrant follow-up in future functional studies.

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Journal of Clinical Investigation
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127
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5
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15 pages
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American Society for Clinical Investigation
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  • scopus:85018974417
  • wos:000400381000022
ISSN
0021-9738
DOI
10.1172/JCI84840
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English
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535ebb05-5470-42db-8abf-0da62ee2fd5f
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2017-06-07 14:37:39
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2017-09-18 11:38:57
@article{535ebb05-5470-42db-8abf-0da62ee2fd5f,
  abstract     = {<p>BACKGROUND. Understanding the genetic architecture of cardiac structure and function may help to prevent and treat heart disease. This investigation sought to identify common genetic variations associated with inter-individual variability in cardiac structure and function. METHODS. A GWAS meta-analysis of echocardiographic traits was performed, including 46,533 individuals from 30 studies (EchoGen consortium). The analysis included 16 traits of left ventricular (LV) structure, and systolic and diastolic function. RESULTS. The discovery analysis included 21 cohorts for structural and systolic function traits (n = 32,212) and 17 cohorts for diastolic function traits (n = 21,852). Replication was performed in 5 cohorts (n = 14,321) and 6 cohorts (n = 16,308), respectively. Besides 5 previously reported loci, the combined meta-analysis identified 10 additional genome-wide significant SNPs: rs12541595 near MTSS1 and rs10774625 in ATXN2 for LV end-diastolic internal dimension; rs806322 near KCNRG, rs4765663 in CACNA1C, rs6702619 near PALMD, rs7127129 in TMEM16A, rs11207426 near FGGY, rs17608766 in GOSR2, and rs17696696 in CFDP1 for aortic root diameter; and rs12440869 in IQCH for Doppler transmitral A-wave peak velocity. Findings were in part validated in other cohorts and in GWAS of related disease traits. The genetic loci showed associations with putative signaling pathways, and with gene expression in whole blood, monocytes, and myocardial tissue. CONCLUSION. The additional genetic loci identified in this large meta-analysis of cardiac structure and function provide insights into the underlying genetic architecture of cardiac structure and warrant follow-up in future functional studies.</p>},
  author       = {Wild, Philipp S. and Felix, Janine F. and Schillert, Arne and Teumer, Alexander and Chen, Ming-Huei and Leening, Maarten J.G. and Völker, Uwe and Großmann, Vera and Brody, Jennifer A and Irvin, Marguerite R. and Shah, Sanjiv J. and Pramana, Setia and Lieb, Wolfgang and Schmidt, Reinhold and Stanton, Alice V and Malzahn, Dörthe and Smith, Albert Vernon and Sundström, Johan and Minelli, Cosetta and Ruggiero, Daniela and Lyytikäinen, Leo-Pekka and Tiller, Daniel and Smith, Gustav and Monnereau, Claire and Di Tullio, Marco R. and Musani, Solomon K and Morrison, Alanna C and Pers, Tune H. and Morley, Michael and Kleber, Marcus E and Aragam, Jayashri and Benjamin, Emelia J and Bis, Joshua C and Bisping, Egbert and Broeckel, Ulrich and Cheng, Susan and Deckers, Jaap W and Del Greco M, Fabiola and Edelmann, Frank and Fornage, Myriam and Franke, Lude and Friedrich, Nele and Harris, Tamara B and Hofer, Edith and Hofman, Albert and Huang, Jie and Hughes, Alun D. and Kähönen, Mika and Kruppa, Jochen and Lackner, Karl J. and Lannfelt, Lars and Laskowski, Rafael and Launer, Lenore J and Leosdottir, Margrét and Lin, Honghuang and Lindgren, Cecilia M. and Loley, Christina and MacRae, Calum A. and Mascalzoni, Deborah and Mayet, Jamil and Medenwald, Daniel and Morris, Andrew P and Müller, Christian and Müller-Nurasyid, Martina and Nappo, Stefania and Nilsson, Peter M. and Nuding, Sebastian and Nutile, Teresa and Peters, Annette and Pfeufer, Arne and Pietzner, Diana and Pramstaller, Peter P and Raitakari, Olli T and Rice, Kenneth M and Rivadeneira, Fernando and Rotter, Jerome I. and Ruohonen, Saku T. and Sacco, Ralph L. and Samdarshi, Tandaw E. and Schmidt, Helena and Sharp, Andrew S.P. and Shields, Denis C. and Sorice, Rossella and Sotoodehnia, Nona and Stricker, Bruno H and Surendran, Praveen and Thom, Simon and Töglhofer, Anna M. and Uitterlinden, André G and Wachter, Rolf and Völzke, Henry and Ziegler, Andreas and Münzel, Thomas and März, Winfried and Cappola, Thomas P and Hirschhorn, Joel N. and Mitchell, Gary F. and Smith, Nicholas L and Fox, Ervin R and Dueker, Nicole D. and Jaddoe, Vincent W. V. and Melander, Olle and Russ, Martin and Lehtimäki, Terho and Ciullo, Marina and Hicks, Andrew A and Lind, Lars and Gudnason, Vilmundur and Pieske, Burkert and Barron, Anthony J. and Zweiker, Robert and Schunkert, Heribert and Ingelsson, Erik and Liu, Kiang and Arnett, Donna K. and Psaty, Bruce M. and Blankenberg, Stefan and Larson, Martin G. and Felix, Stephan B and Franco, Oscar H. and Zeller, Tanja and Vasan, Ramachandran S. and Dörr, Marcus},
  issn         = {0021-9738},
  language     = {eng},
  month        = {05},
  number       = {5},
  pages        = {1798--1812},
  publisher    = {American Society for Clinical Investigation},
  series       = {Journal of Clinical Investigation},
  title        = {Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function},
  url          = {http://dx.doi.org/10.1172/JCI84840},
  volume       = {127},
  year         = {2017},
}