Asa Johansson

Publications (53) View all

• Article: Large-scale association analysis identifies new risk loci for coronary artery disease

  The CARDIoGRAMplusC4D Consortium, Panos Deloukas, Stavroula Kanoni, Christina Willenborg, Martin Farrall, Themistocles L Assimes, John R Thompson, Erik Ingelsson, Danish Saleheen, Jeanette Erdmann, [......], Sekar Kathiresan, Anders Hamsten, Jaspal S Kooner, Unnur Thorsteinsdottir, John Danesh, Colin N A Palmer, Robert Roberts, Hugh Watkins, Heribert Schunkert, Nilesh J Samani
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  ABSTRACT: Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r(2) < 0.2) strongly associated with CAD at a 5% false discovery rate (FDR). Together, these variants explain approximately 10.6% of CAD heritability. Of the 46 genome-wide significant lead SNPs, 12 show a significant association with a lipid trait, and 5 show a significant association with blood pressure, but none is significantly associated with diabetes. Network analysis with 233 candidate genes (loci at 10% FDR) generated 5 interaction networks comprising 85% of these putative genes involved in CAD. The four most significant pathways mapping to these networks are linked to lipid metabolism and inflammation, underscoring the causal role of these activities in the genetic etiology of CAD. Our study provides insights into the genetic basis of CAD and identifies key biological pathways.
  Nature Genetics 12/2012; 45(1):25. · 35.53 Impact Factor
• Article: LARGE-SCALE ASSOCIATION ANALYSIS IDENTIFIES NEW RISK LOCI FOR CORONARY ARTERY DISEASE

  The CARDIoGRAMplusC4D Consortium, Panos Deloukas, Stavroula Kanoni, Christina Willenborg, Martin Farrall, Themistocles L Assimes, John R Thompson, Erik Ingelsson, Danish Saleheen, Jeanette Erdmann, [......], Anders Hamsten, Jaspal S Kooner, Unnur Thorsteinsdottir, John Danesh, Colin N A Palmer, Robert Roberts, Hugh Watkins, Heribert Schunkert, Nilesh J Samani, Klaus Stark
  [show abstract] [hide abstract]
  ABSTRACT: Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r2 < 0.2) strongly associated with CAD at a 5% false discovery rate (FDR). Together, these variants explain approximately 10.6% of CAD heritability. Of the 46 genome-wide significant lead SNPs, 12 show a significant association with a lipid trait, and 5 show a significant association with blood pressure, but none is significantly associated with diabetes. Network analysis with 233 candidate genes (loci at 10% FDR) generated 5 interaction networks comprising 85% of these putative genes involved in CAD. The four most significant pathways mapping to these networks are linked to lipid metabolism and inflammation, underscoring the causal role of these activities in the genetic etiology of CAD. Our study provides insights into the genetic basis of CAD and identifies key biological pathways.
  Nature Genetics 12/2012; 45(1):25. · 35.53 Impact Factor
• Article: LARGE-SCALE ASSOCIATION ANALYSIS IDENTIFIES NEW RISK LOCI FOR CORONARY ARTERY DISEASE

  The CARDIoGRAMplusC4D Consortium, Panos Deloukas, Stavroula Kanoni, Christina Willenborg, Martin Farrall, Themistocles L Assimes, John R Thompson, Erik Ingelsson, Danish Saleheen, Jeanette Erdmann, [......], Sekar Kathiresan, Anders Hamsten, Jaspal S Kooner, Unnur Thorsteinsdottir, John Danesh, Colin N A Palmer, Robert Roberts, Hugh Watkins, Heribert Schunkert, Nilesh J Samani
  [show abstract] [hide abstract]
  ABSTRACT: Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r2 < 0.2) strongly associated with CAD at a 5% false discovery rate (FDR). Together, these variants explain approximately 10.6% of CAD heritability. Of the 46 genome-wide significant lead SNPs, 12 show a significant association with a lipid trait, and 5 show a significant association with blood pressure, but none is significantly associated with diabetes. Network analysis with 233 candidate genes (loci at 10% FDR) generated 5 interaction networks comprising 85% of these putative genes involved in CAD. The four most significant pathways mapping to these networks are linked to lipid metabolism and inflammation, underscoring the causal role of these activities in the genetic etiology of CAD. Our study provides insights into the genetic basis of CAD and identifies key biological pathways.
  Nature Genetics 12/2012; 45(1):25. · 35.53 Impact Factor
• Article: Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture.

  Sonja I Berndt, Stefan Gustafsson, Reedik Mägi, Andrea Ganna, Eleanor Wheeler, Mary F Feitosa, Anne E Justice, Keri L Monda, Damien C Croteau-Chonka, Felix R Day, [......], Joel N Hirschhorn, Cecilia M Lindgren, Andrew P Morris, David Meyre, André Scherag, Mark I McCarthy, Elizabeth K Speliotes, Kari E North, Ruth J F Loos, Erik Ingelsson
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  ABSTRACT: Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.
  Nature Genetics 04/2013; · 35.53 Impact Factor
• Article: Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

  Sonja I Berndt, Stefan Gustafsson, Reedik Magi, Andrea Ganna, Eleanor Wheeler, Mary F Feitosa, Anne E Justice, Keri L Monda, Damien C Croteau-Chonka, Felix R Day, [......], Joel N Hirschhorn, Cecilia M Lindgren, Andrew P Morris, David Meyre, Andre Scherag, Mark I McCarthy, Elizabeth K Speliotes, Kari E North, Ruth J F Loos, Erik Ingelsson
  [show abstract] [hide abstract]
  ABSTRACT: Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.
  Nature Genetics 04/2013; · 35.53 Impact Factor