Author: "Kontto, Jukka" / Publisher: umea universitet, avdelningen for medicin - Searchworks@Jio Institute Digital Library Search Results

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1. Exploring the incremental utility of circulating biomarkers for robust risk prediction of incident atrial fibrillation in European cohorts using regressions and modern machine learning methods

Author: Toprak, Betül, Brandt, Stephanie, Brederecke, Jan, Gianfagna, Francesco, Vishram-Nielsen, Julie K. K., Ojeda, Francisco M., Costanzo, Simona, Börschel, Christin S., Söderberg, Stefan, Katsoularis, Ioannis, Camen, Stephan, Vartiainen, Erkki, Donati, Maria Benedetta, Kontto, Jukka, Bobak, Martin, Mathiesen, Ellisiv B., Linneberg, Allan, Koenig, Wolfgang, Løchen, Maja-Lisa, Di Castelnuovo, Augusto, Blankenberg, Stefan, de Gaetano, Giovanni, Kuulasmaa, Kari, Salomaa, Veikko, Iacoviello, Licia, Niiranen, Teemu, Zeller, Tanja, Schnabel, Renate B., Toprak, Betül, Brandt, Stephanie, Brederecke, Jan, Gianfagna, Francesco, Vishram-Nielsen, Julie K. K., Ojeda, Francisco M., Costanzo, Simona, Börschel, Christin S., Söderberg, Stefan, Katsoularis, Ioannis, Camen, Stephan, Vartiainen, Erkki, Donati, Maria Benedetta, Kontto, Jukka, Bobak, Martin, Mathiesen, Ellisiv B., Linneberg, Allan, Koenig, Wolfgang, Løchen, Maja-Lisa, Di Castelnuovo, Augusto, Blankenberg, Stefan, de Gaetano, Giovanni, Kuulasmaa, Kari, Salomaa, Veikko, Iacoviello, Licia, Niiranen, Teemu, Zeller, Tanja, and Schnabel, Renate B.
Abstract: Aims: To identify robust circulating predictors for incident atrial fibrillation (AF) using classical regressions and machine learning (ML) techniques within a broad spectrum of candidate variables. Methods and results: In pooled European community cohorts (n = 42 280 individuals), 14 routinely available biomarkers mirroring distinct pathophysiological pathways including lipids, inflammation, renal, and myocardium-specific markers (N-terminal pro B-type natriuretic peptide [NT-proBNP], high-sensitivity troponin I [hsTnI]) were examined in relation to incident AF using Cox regressions and distinct ML methods. Of 42 280 individuals (21 843 women [51.7%]; median [interquartile range, IQR] age, 52.2 [42.7, 62.0] years), 1496 (3.5%) developed AF during a median follow-up time of 5.7 years. In multivariable-adjusted Cox-regression analysis, NT-proBNP was the strongest circulating predictor of incident AF [hazard ratio (HR) per standard deviation (SD), 1.93 (95% CI, 1.82-2.04); P < 0.001]. Further, hsTnI [HR per SD, 1.18 (95% CI, 1.13-1.22); P < 0.001], cystatin C [HR per SD, 1.16 (95% CI, 1.10-1.23); P < 0.001], and C-reactive protein [HR per SD, 1.08 (95% CI, 1.02-1.14); P = 0.012] correlated positively with incident AF. Applying various ML techniques, a high inter-method consistency of selected candidate variables was observed. NT-proBNP was identified as the blood-based marker with the highest predictive value for incident AF. Relevant clinical predictors were age, the use of antihypertensive medication, and body mass index. Conclusion: Using different variable selection procedures including ML methods, NT-proBNP consistently remained the strongest blood-based predictor of incident AF and ranked before classical cardiovascular risk factors. The clinical benefit of these findings for identifying at-risk individuals for targeted AF screening needs to be elucidated and tested prospectively.
Published: 2023
Full Text: View/download PDF

2. Exploring the incremental utility of circulating biomarkers for robust risk prediction of incident atrial fibrillation in European cohorts using regressions and modern machine learning methods

Author: Toprak, Betül, Brandt, Stephanie, Brederecke, Jan, Gianfagna, Francesco, Vishram-Nielsen, Julie K. K., Ojeda, Francisco M., Costanzo, Simona, Börschel, Christin S., Söderberg, Stefan, Katsoularis, Ioannis, Camen, Stephan, Vartiainen, Erkki, Donati, Maria Benedetta, Kontto, Jukka, Bobak, Martin, Mathiesen, Ellisiv B., Linneberg, Allan, Koenig, Wolfgang, Løchen, Maja-Lisa, Di Castelnuovo, Augusto, Blankenberg, Stefan, de Gaetano, Giovanni, Kuulasmaa, Kari, Salomaa, Veikko, Iacoviello, Licia, Niiranen, Teemu, Zeller, Tanja, Schnabel, Renate B., Toprak, Betül, Brandt, Stephanie, Brederecke, Jan, Gianfagna, Francesco, Vishram-Nielsen, Julie K. K., Ojeda, Francisco M., Costanzo, Simona, Börschel, Christin S., Söderberg, Stefan, Katsoularis, Ioannis, Camen, Stephan, Vartiainen, Erkki, Donati, Maria Benedetta, Kontto, Jukka, Bobak, Martin, Mathiesen, Ellisiv B., Linneberg, Allan, Koenig, Wolfgang, Løchen, Maja-Lisa, Di Castelnuovo, Augusto, Blankenberg, Stefan, de Gaetano, Giovanni, Kuulasmaa, Kari, Salomaa, Veikko, Iacoviello, Licia, Niiranen, Teemu, Zeller, Tanja, and Schnabel, Renate B.
Abstract: Aims: To identify robust circulating predictors for incident atrial fibrillation (AF) using classical regressions and machine learning (ML) techniques within a broad spectrum of candidate variables. Methods and results: In pooled European community cohorts (n = 42 280 individuals), 14 routinely available biomarkers mirroring distinct pathophysiological pathways including lipids, inflammation, renal, and myocardium-specific markers (N-terminal pro B-type natriuretic peptide [NT-proBNP], high-sensitivity troponin I [hsTnI]) were examined in relation to incident AF using Cox regressions and distinct ML methods. Of 42 280 individuals (21 843 women [51.7%]; median [interquartile range, IQR] age, 52.2 [42.7, 62.0] years), 1496 (3.5%) developed AF during a median follow-up time of 5.7 years. In multivariable-adjusted Cox-regression analysis, NT-proBNP was the strongest circulating predictor of incident AF [hazard ratio (HR) per standard deviation (SD), 1.93 (95% CI, 1.82-2.04); P < 0.001]. Further, hsTnI [HR per SD, 1.18 (95% CI, 1.13-1.22); P < 0.001], cystatin C [HR per SD, 1.16 (95% CI, 1.10-1.23); P < 0.001], and C-reactive protein [HR per SD, 1.08 (95% CI, 1.02-1.14); P = 0.012] correlated positively with incident AF. Applying various ML techniques, a high inter-method consistency of selected candidate variables was observed. NT-proBNP was identified as the blood-based marker with the highest predictive value for incident AF. Relevant clinical predictors were age, the use of antihypertensive medication, and body mass index. Conclusion: Using different variable selection procedures including ML methods, NT-proBNP consistently remained the strongest blood-based predictor of incident AF and ranked before classical cardiovascular risk factors. The clinical benefit of these findings for identifying at-risk individuals for targeted AF screening needs to be elucidated and tested prospectively.
Published: 2023
Full Text: View/download PDF

3. Exploring the incremental utility of circulating biomarkers for robust risk prediction of incident atrial fibrillation in European cohorts using regressions and modern machine learning methods

Author: Toprak, Betül, Brandt, Stephanie, Brederecke, Jan, Gianfagna, Francesco, Vishram-Nielsen, Julie K. K., Ojeda, Francisco M., Costanzo, Simona, Börschel, Christin S., Söderberg, Stefan, Katsoularis, Ioannis, Camen, Stephan, Vartiainen, Erkki, Donati, Maria Benedetta, Kontto, Jukka, Bobak, Martin, Mathiesen, Ellisiv B., Linneberg, Allan, Koenig, Wolfgang, Løchen, Maja-Lisa, Di Castelnuovo, Augusto, Blankenberg, Stefan, de Gaetano, Giovanni, Kuulasmaa, Kari, Salomaa, Veikko, Iacoviello, Licia, Niiranen, Teemu, Zeller, Tanja, Schnabel, Renate B., Toprak, Betül, Brandt, Stephanie, Brederecke, Jan, Gianfagna, Francesco, Vishram-Nielsen, Julie K. K., Ojeda, Francisco M., Costanzo, Simona, Börschel, Christin S., Söderberg, Stefan, Katsoularis, Ioannis, Camen, Stephan, Vartiainen, Erkki, Donati, Maria Benedetta, Kontto, Jukka, Bobak, Martin, Mathiesen, Ellisiv B., Linneberg, Allan, Koenig, Wolfgang, Løchen, Maja-Lisa, Di Castelnuovo, Augusto, Blankenberg, Stefan, de Gaetano, Giovanni, Kuulasmaa, Kari, Salomaa, Veikko, Iacoviello, Licia, Niiranen, Teemu, Zeller, Tanja, and Schnabel, Renate B.
Abstract: AIMS: To identify robust circulating predictors for incident atrial fibrillation (AF) using classical regressions and machine learning (ML) techniques within a broad spectrum of candidate variables. METHODS AND RESULTS: In pooled European community cohorts (n = 42 280 individuals), 14 routinely available biomarkers mirroring distinct pathophysiological pathways including lipids, inflammation, renal, and myocardium-specific markers (N-terminal pro B-type natriuretic peptide [NT-proBNP], high-sensitivity troponin I [hsTnI]) were examined in relation to incident AF using Cox regressions and distinct ML methods. Of 42 280 individuals (21 843 women [51.7%]; median [interquartile range, IQR] age, 52.2 [42.7, 62.0] years), 1496 (3.5%) developed AF during a median follow-up time of 5.7 years. In multivariable-adjusted Cox-regression analysis, NT-proBNP was the strongest circulating predictor of incident AF [hazard ratio (HR) per standard deviation (SD), 1.93 (95% CI, 1.82-2.04); P < 0.001]. Further, hsTnI [HR per SD, 1.18 (95% CI, 1.13-1.22); P < 0.001], cystatin C [HR per SD, 1.16 (95% CI, 1.10-1.23); P < 0.001], and C-reactive protein [HR per SD, 1.08 (95% CI, 1.02-1.14); P = 0.012] correlated positively with incident AF. Applying various ML techniques, a high inter-method consistency of selected candidate variables was observed. NT-proBNP was identified as the blood-based marker with the highest predictive value for incident AF. Relevant clinical predictors were age, the use of antihypertensive medication, and body mass index. CONCLUSION: Using different variable selection procedures including ML methods, NT-proBNP consistently remained the strongest blood-based predictor of incident AF and ranked before classical cardiovascular risk factors. The clinical benefit of these findings for identifying at-risk individuals for targeted AF screening needs to be elucidated and tested prospectively.
Published: 2023
Full Text: View/download PDF

4. Exploring the incremental utility of circulating biomarkers for robust risk prediction of incident atrial fibrillation in European cohorts using regressions and modern machine learning methods

Author: Toprak, Betül, Brandt, Stephanie, Brederecke, Jan, Gianfagna, Francesco, Vishram-Nielsen, Julie K. K., Ojeda, Francisco M., Costanzo, Simona, Börschel, Christin S., Söderberg, Stefan, Katsoularis, Ioannis, Camen, Stephan, Vartiainen, Erkki, Donati, Maria Benedetta, Kontto, Jukka, Bobak, Martin, Mathiesen, Ellisiv B., Linneberg, Allan, Koenig, Wolfgang, Løchen, Maja-Lisa, Di Castelnuovo, Augusto, Blankenberg, Stefan, de Gaetano, Giovanni, Kuulasmaa, Kari, Salomaa, Veikko, Iacoviello, Licia, Niiranen, Teemu, Zeller, Tanja, Schnabel, Renate B., Toprak, Betül, Brandt, Stephanie, Brederecke, Jan, Gianfagna, Francesco, Vishram-Nielsen, Julie K. K., Ojeda, Francisco M., Costanzo, Simona, Börschel, Christin S., Söderberg, Stefan, Katsoularis, Ioannis, Camen, Stephan, Vartiainen, Erkki, Donati, Maria Benedetta, Kontto, Jukka, Bobak, Martin, Mathiesen, Ellisiv B., Linneberg, Allan, Koenig, Wolfgang, Løchen, Maja-Lisa, Di Castelnuovo, Augusto, Blankenberg, Stefan, de Gaetano, Giovanni, Kuulasmaa, Kari, Salomaa, Veikko, Iacoviello, Licia, Niiranen, Teemu, Zeller, Tanja, and Schnabel, Renate B.
Abstract: Aims: To identify robust circulating predictors for incident atrial fibrillation (AF) using classical regressions and machine learning (ML) techniques within a broad spectrum of candidate variables. Methods and results: In pooled European community cohorts (n = 42 280 individuals), 14 routinely available biomarkers mirroring distinct pathophysiological pathways including lipids, inflammation, renal, and myocardium-specific markers (N-terminal pro B-type natriuretic peptide [NT-proBNP], high-sensitivity troponin I [hsTnI]) were examined in relation to incident AF using Cox regressions and distinct ML methods. Of 42 280 individuals (21 843 women [51.7%]; median [interquartile range, IQR] age, 52.2 [42.7, 62.0] years), 1496 (3.5%) developed AF during a median follow-up time of 5.7 years. In multivariable-adjusted Cox-regression analysis, NT-proBNP was the strongest circulating predictor of incident AF [hazard ratio (HR) per standard deviation (SD), 1.93 (95% CI, 1.82-2.04); P < 0.001]. Further, hsTnI [HR per SD, 1.18 (95% CI, 1.13-1.22); P < 0.001], cystatin C [HR per SD, 1.16 (95% CI, 1.10-1.23); P < 0.001], and C-reactive protein [HR per SD, 1.08 (95% CI, 1.02-1.14); P = 0.012] correlated positively with incident AF. Applying various ML techniques, a high inter-method consistency of selected candidate variables was observed. NT-proBNP was identified as the blood-based marker with the highest predictive value for incident AF. Relevant clinical predictors were age, the use of antihypertensive medication, and body mass index. Conclusion: Using different variable selection procedures including ML methods, NT-proBNP consistently remained the strongest blood-based predictor of incident AF and ranked before classical cardiovascular risk factors. The clinical benefit of these findings for identifying at-risk individuals for targeted AF screening needs to be elucidated and tested prospectively.
Published: 2023
Full Text: View/download PDF

5. Exploring the incremental utility of circulating biomarkers for robust risk prediction of incident atrial fibrillation in European cohorts using regressions and modern machine learning methods

Author: Toprak, Betül, Brandt, Stephanie, Brederecke, Jan, Gianfagna, Francesco, Vishram-Nielsen, Julie K. K., Ojeda, Francisco M., Costanzo, Simona, Börschel, Christin S., Söderberg, Stefan, Katsoularis, Ioannis, Camen, Stephan, Vartiainen, Erkki, Donati, Maria Benedetta, Kontto, Jukka, Bobak, Martin, Mathiesen, Ellisiv B., Linneberg, Allan, Koenig, Wolfgang, Løchen, Maja-Lisa, Di Castelnuovo, Augusto, Blankenberg, Stefan, de Gaetano, Giovanni, Kuulasmaa, Kari, Salomaa, Veikko, Iacoviello, Licia, Niiranen, Teemu, Zeller, Tanja, Schnabel, Renate B., Toprak, Betül, Brandt, Stephanie, Brederecke, Jan, Gianfagna, Francesco, Vishram-Nielsen, Julie K. K., Ojeda, Francisco M., Costanzo, Simona, Börschel, Christin S., Söderberg, Stefan, Katsoularis, Ioannis, Camen, Stephan, Vartiainen, Erkki, Donati, Maria Benedetta, Kontto, Jukka, Bobak, Martin, Mathiesen, Ellisiv B., Linneberg, Allan, Koenig, Wolfgang, Løchen, Maja-Lisa, Di Castelnuovo, Augusto, Blankenberg, Stefan, de Gaetano, Giovanni, Kuulasmaa, Kari, Salomaa, Veikko, Iacoviello, Licia, Niiranen, Teemu, Zeller, Tanja, and Schnabel, Renate B.
Abstract: Aims: To identify robust circulating predictors for incident atrial fibrillation (AF) using classical regressions and machine learning (ML) techniques within a broad spectrum of candidate variables. Methods and results: In pooled European community cohorts (n = 42 280 individuals), 14 routinely available biomarkers mirroring distinct pathophysiological pathways including lipids, inflammation, renal, and myocardium-specific markers (N-terminal pro B-type natriuretic peptide [NT-proBNP], high-sensitivity troponin I [hsTnI]) were examined in relation to incident AF using Cox regressions and distinct ML methods. Of 42 280 individuals (21 843 women [51.7%]; median [interquartile range, IQR] age, 52.2 [42.7, 62.0] years), 1496 (3.5%) developed AF during a median follow-up time of 5.7 years. In multivariable-adjusted Cox-regression analysis, NT-proBNP was the strongest circulating predictor of incident AF [hazard ratio (HR) per standard deviation (SD), 1.93 (95% CI, 1.82-2.04); P < 0.001]. Further, hsTnI [HR per SD, 1.18 (95% CI, 1.13-1.22); P < 0.001], cystatin C [HR per SD, 1.16 (95% CI, 1.10-1.23); P < 0.001], and C-reactive protein [HR per SD, 1.08 (95% CI, 1.02-1.14); P = 0.012] correlated positively with incident AF. Applying various ML techniques, a high inter-method consistency of selected candidate variables was observed. NT-proBNP was identified as the blood-based marker with the highest predictive value for incident AF. Relevant clinical predictors were age, the use of antihypertensive medication, and body mass index. Conclusion: Using different variable selection procedures including ML methods, NT-proBNP consistently remained the strongest blood-based predictor of incident AF and ranked before classical cardiovascular risk factors. The clinical benefit of these findings for identifying at-risk individuals for targeted AF screening needs to be elucidated and tested prospectively.
Published: 2023
Full Text: View/download PDF

6. Risk Factors, Subsequent Disease Onset, and Prognostic Impact of Myocardial Infarction and Atrial Fibrillation

Author: Camen, Stephan, Csengeri, Dora, Geelhoed, Bastiaan, Niiranen, Teemu, Gianfagna, Francesco, Vishram-Nielsen, Julie K., Costanzo, Simona, Söderberg, Stefan, Vartiainen, Erkki, Börschel, Christin S., Donati, Maria Benedetta, Løchen, Maja-Lisa, Ojeda, Francisco M., Kontto, Jukka, Mathiesen, Ellisiv B., Jensen, Steen M., Koenig, Wolfgang, Kee, Frank, de Gaetano, Giovanni, Zeller, Tanja, Jørgensen, Torben, Tunstall-Pedoe, Hugh, Blankenberg, Stefan, Kuulasmaa, Kari, Linneberg, Allan, Salomaa, Veikko, Iacoviello, Licia, Schnabel, Renate B., Camen, Stephan, Csengeri, Dora, Geelhoed, Bastiaan, Niiranen, Teemu, Gianfagna, Francesco, Vishram-Nielsen, Julie K., Costanzo, Simona, Söderberg, Stefan, Vartiainen, Erkki, Börschel, Christin S., Donati, Maria Benedetta, Løchen, Maja-Lisa, Ojeda, Francisco M., Kontto, Jukka, Mathiesen, Ellisiv B., Jensen, Steen M., Koenig, Wolfgang, Kee, Frank, de Gaetano, Giovanni, Zeller, Tanja, Jørgensen, Torben, Tunstall-Pedoe, Hugh, Blankenberg, Stefan, Kuulasmaa, Kari, Linneberg, Allan, Salomaa, Veikko, Iacoviello, Licia, and Schnabel, Renate B.
Abstract: BACKGROUND: Although myocardial infarction (MI) and atrial fibrillation (AF) are frequent comorbidities and share common cardiovascular risk factors, the direction and strength of the association of the risk factors with disease onset, subsequent disease incidence, and mortality are not completely understood. METHODS AND RESULTS: In pooled multivariable Cox regression analyses, we examined temporal relations of disease onset and identified predictors of MI, AF, and all-cause mortality in 108 363 individuals (median age, 46.0 years; 48.2% men) free of MI and AF at baseline from 6 European population-based cohorts. During a maximum follow-up of 10.0 years, 3558 (3.3%) individuals were diagnosed exclusively with MI, 1922 (1.8%) with AF but no MI, and 491 (0.5%) individuals developed both MI and AF. Association of sex, systolic blood pressure, antihypertensive treatment, and diabetes appeared to be stronger with incident MI than with AF, whereas increasing age and body mass index showed a higher risk for incident AF. Total cholesterol and daily smoking were significantly related to incident MI but not AF. Combined population attributable fraction of cardiovascular risk factors was >70% for incident MI, whereas it was only 27% for AF. Subsequent MI after AF (hazard ratio [HR], 1.68; 95% CI, 1.03–2.74) and subsequent AF after MI (HR, 1.75; 95% CI, 1.31–2.34) both significantly increased overall mortality risk. CONCLUSIONS: We observed different associations of cardiovascular risk factors with both diseases indicating distinct pathophysiological pathways. Subsequent diagnoses of MI and AF significantly increased mortality risk.
Published: 2022
Full Text: View/download PDF

7. Risk Factors, Subsequent Disease Onset, and Prognostic Impact of Myocardial Infarction and Atrial Fibrillation

Author: Camen, Stephan, Csengeri, Dora, Geelhoed, Bastiaan, Niiranen, Teemu, Gianfagna, Francesco, Vishram-Nielsen, Julie K., Costanzo, Simona, Söderberg, Stefan, Vartiainen, Erkki, Börschel, Christin S., Donati, Maria Benedetta, Løchen, Maja-Lisa, Ojeda, Francisco M., Kontto, Jukka, Mathiesen, Ellisiv B., Jensen, Steen M., Koenig, Wolfgang, Kee, Frank, de Gaetano, Giovanni, Zeller, Tanja, Jørgensen, Torben, Tunstall-Pedoe, Hugh, Blankenberg, Stefan, Kuulasmaa, Kari, Linneberg, Allan, Salomaa, Veikko, Iacoviello, Licia, Schnabel, Renate B., Camen, Stephan, Csengeri, Dora, Geelhoed, Bastiaan, Niiranen, Teemu, Gianfagna, Francesco, Vishram-Nielsen, Julie K., Costanzo, Simona, Söderberg, Stefan, Vartiainen, Erkki, Börschel, Christin S., Donati, Maria Benedetta, Løchen, Maja-Lisa, Ojeda, Francisco M., Kontto, Jukka, Mathiesen, Ellisiv B., Jensen, Steen M., Koenig, Wolfgang, Kee, Frank, de Gaetano, Giovanni, Zeller, Tanja, Jørgensen, Torben, Tunstall-Pedoe, Hugh, Blankenberg, Stefan, Kuulasmaa, Kari, Linneberg, Allan, Salomaa, Veikko, Iacoviello, Licia, and Schnabel, Renate B.
Abstract: BACKGROUND: Although myocardial infarction (MI) and atrial fibrillation (AF) are frequent comorbidities and share common cardiovascular risk factors, the direction and strength of the association of the risk factors with disease onset, subsequent disease incidence, and mortality are not completely understood. METHODS AND RESULTS: In pooled multivariable Cox regression analyses, we examined temporal relations of disease onset and identified predictors of MI, AF, and all-cause mortality in 108 363 individuals (median age, 46.0 years; 48.2% men) free of MI and AF at baseline from 6 European population-based cohorts. During a maximum follow-up of 10.0 years, 3558 (3.3%) individuals were diagnosed exclusively with MI, 1922 (1.8%) with AF but no MI, and 491 (0.5%) individuals developed both MI and AF. Association of sex, systolic blood pressure, antihypertensive treatment, and diabetes appeared to be stronger with incident MI than with AF, whereas increasing age and body mass index showed a higher risk for incident AF. Total cholesterol and daily smoking were significantly related to incident MI but not AF. Combined population attributable fraction of cardiovascular risk factors was >70% for incident MI, whereas it was only 27% for AF. Subsequent MI after AF (hazard ratio [HR], 1.68; 95% CI, 1.03–2.74) and subsequent AF after MI (HR, 1.75; 95% CI, 1.31–2.34) both significantly increased overall mortality risk. CONCLUSIONS: We observed different associations of cardiovascular risk factors with both diseases indicating distinct pathophysiological pathways. Subsequent diagnoses of MI and AF significantly increased mortality risk.
Published: 2022
Full Text: View/download PDF

8. Risk Factors, Subsequent Disease Onset, and Prognostic Impact of Myocardial Infarction and Atrial Fibrillation

Author: Camen, Stephan, Csengeri, Dora, Geelhoed, Bastiaan, Niiranen, Teemu, Gianfagna, Francesco, Vishram-Nielsen, Julie K., Costanzo, Simona, Söderberg, Stefan, Vartiainen, Erkki, Börschel, Christin S., Donati, Maria Benedetta, Løchen, Maja-Lisa, Ojeda, Francisco M., Kontto, Jukka, Mathiesen, Ellisiv B., Jensen, Steen M., Koenig, Wolfgang, Kee, Frank, de Gaetano, Giovanni, Zeller, Tanja, Jørgensen, Torben, Tunstall-Pedoe, Hugh, Blankenberg, Stefan, Kuulasmaa, Kari, Linneberg, Allan, Salomaa, Veikko, Iacoviello, Licia, Schnabel, Renate B., Camen, Stephan, Csengeri, Dora, Geelhoed, Bastiaan, Niiranen, Teemu, Gianfagna, Francesco, Vishram-Nielsen, Julie K., Costanzo, Simona, Söderberg, Stefan, Vartiainen, Erkki, Börschel, Christin S., Donati, Maria Benedetta, Løchen, Maja-Lisa, Ojeda, Francisco M., Kontto, Jukka, Mathiesen, Ellisiv B., Jensen, Steen M., Koenig, Wolfgang, Kee, Frank, de Gaetano, Giovanni, Zeller, Tanja, Jørgensen, Torben, Tunstall-Pedoe, Hugh, Blankenberg, Stefan, Kuulasmaa, Kari, Linneberg, Allan, Salomaa, Veikko, Iacoviello, Licia, and Schnabel, Renate B.
Abstract: BACKGROUND: Although myocardial infarction (MI) and atrial fibrillation (AF) are frequent comorbidities and share common cardiovascular risk factors, the direction and strength of the association of the risk factors with disease onset, subsequent disease incidence, and mortality are not completely understood. METHODS AND RESULTS: In pooled multivariable Cox regression analyses, we examined temporal relations of disease onset and identified predictors of MI, AF, and all-cause mortality in 108 363 individuals (median age, 46.0 years; 48.2% men) free of MI and AF at baseline from 6 European population-based cohorts. During a maximum follow-up of 10.0 years, 3558 (3.3%) individuals were diagnosed exclusively with MI, 1922 (1.8%) with AF but no MI, and 491 (0.5%) individuals developed both MI and AF. Association of sex, systolic blood pressure, antihypertensive treatment, and diabetes appeared to be stronger with incident MI than with AF, whereas increasing age and body mass index showed a higher risk for incident AF. Total cholesterol and daily smoking were significantly related to incident MI but not AF. Combined population attributable fraction of cardiovascular risk factors was >70% for incident MI, whereas it was only 27% for AF. Subsequent MI after AF (hazard ratio [HR], 1.68; 95% CI, 1.03–2.74) and subsequent AF after MI (HR, 1.75; 95% CI, 1.31–2.34) both significantly increased overall mortality risk. CONCLUSIONS: We observed different associations of cardiovascular risk factors with both diseases indicating distinct pathophysiological pathways. Subsequent diagnoses of MI and AF significantly increased mortality risk.
Published: 2022
Full Text: View/download PDF

9. Risk Factors, Subsequent Disease Onset, and Prognostic Impact of Myocardial Infarction and Atrial Fibrillation

Author: Camen, Stephan, Csengeri, Dora, Geelhoed, Bastiaan, Niiranen, Teemu, Gianfagna, Francesco, Vishram-Nielsen, Julie K., Costanzo, Simona, Söderberg, Stefan, Vartiainen, Erkki, Börschel, Christin S., Donati, Maria Benedetta, Løchen, Maja-Lisa, Ojeda, Francisco M., Kontto, Jukka, Mathiesen, Ellisiv B., Jensen, Steen M., Koenig, Wolfgang, Kee, Frank, de Gaetano, Giovanni, Zeller, Tanja, Jørgensen, Torben, Tunstall-Pedoe, Hugh, Blankenberg, Stefan, Kuulasmaa, Kari, Linneberg, Allan, Salomaa, Veikko, Iacoviello, Licia, Schnabel, Renate B., Camen, Stephan, Csengeri, Dora, Geelhoed, Bastiaan, Niiranen, Teemu, Gianfagna, Francesco, Vishram-Nielsen, Julie K., Costanzo, Simona, Söderberg, Stefan, Vartiainen, Erkki, Börschel, Christin S., Donati, Maria Benedetta, Løchen, Maja-Lisa, Ojeda, Francisco M., Kontto, Jukka, Mathiesen, Ellisiv B., Jensen, Steen M., Koenig, Wolfgang, Kee, Frank, de Gaetano, Giovanni, Zeller, Tanja, Jørgensen, Torben, Tunstall-Pedoe, Hugh, Blankenberg, Stefan, Kuulasmaa, Kari, Linneberg, Allan, Salomaa, Veikko, Iacoviello, Licia, and Schnabel, Renate B.
Abstract: BACKGROUND: Although myocardial infarction (MI) and atrial fibrillation (AF) are frequent comorbidities and share common cardiovascular risk factors, the direction and strength of the association of the risk factors with disease onset, subsequent disease incidence, and mortality are not completely understood. METHODS AND RESULTS: In pooled multivariable Cox regression analyses, we examined temporal relations of disease onset and identified predictors of MI, AF, and all-cause mortality in 108 363 individuals (median age, 46.0 years; 48.2% men) free of MI and AF at baseline from 6 European population-based cohorts. During a maximum follow-up of 10.0 years, 3558 (3.3%) individuals were diagnosed exclusively with MI, 1922 (1.8%) with AF but no MI, and 491 (0.5%) individuals developed both MI and AF. Association of sex, systolic blood pressure, antihypertensive treatment, and diabetes appeared to be stronger with incident MI than with AF, whereas increasing age and body mass index showed a higher risk for incident AF. Total cholesterol and daily smoking were significantly related to incident MI but not AF. Combined population attributable fraction of cardiovascular risk factors was >70% for incident MI, whereas it was only 27% for AF. Subsequent MI after AF (hazard ratio [HR], 1.68; 95% CI, 1.03–2.74) and subsequent AF after MI (HR, 1.75; 95% CI, 1.31–2.34) both significantly increased overall mortality risk. CONCLUSIONS: We observed different associations of cardiovascular risk factors with both diseases indicating distinct pathophysiological pathways. Subsequent diagnoses of MI and AF significantly increased mortality risk.
Published: 2022
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10. Alcohol consumption, cardiac biomarkers, and risk of atrial fibrillation and adverse outcomes

Author: Csengeri, Dora, Sprünker, Ngoc-Anh, Niiranen, Teemu, Vishram-Nielsen, Julie Kk., Costanzo, Simona, Söderberg, Stefan, Jensen, Steen M., Vartiainen, Erkki, Donati, Maria Benedetta, Magnussen, Christina, Camen, Stephan, Gianfagna, Francesco, Løchen, Maja-Lisa, Kee, Frank, Kontto, Jukka, Mathiesen, Ellisiv B., Koenig, Wolfgang, Stefan, Blankenberg, de Gaetano, Giovanni, Jørgensen, Torben, Kuulasmaa, Kari, Zeller, Tanja, Salomaa, Veikko, Iacoviello, Licia, Schnabel, Renate B., Csengeri, Dora, Sprünker, Ngoc-Anh, Niiranen, Teemu, Vishram-Nielsen, Julie Kk., Costanzo, Simona, Söderberg, Stefan, Jensen, Steen M., Vartiainen, Erkki, Donati, Maria Benedetta, Magnussen, Christina, Camen, Stephan, Gianfagna, Francesco, Løchen, Maja-Lisa, Kee, Frank, Kontto, Jukka, Mathiesen, Ellisiv B., Koenig, Wolfgang, Stefan, Blankenberg, de Gaetano, Giovanni, Jørgensen, Torben, Kuulasmaa, Kari, Zeller, Tanja, Salomaa, Veikko, Iacoviello, Licia, and Schnabel, Renate B.
Abstract: AIMS: There is inconsistent evidence on the relation of alcohol intake with incident atrial fibrillation (AF), in particular at lower doses. We assessed the association between alcohol consumption, biomarkers, and incident AF across the spectrum of alcohol intake in European cohorts. METHODS AND RESULTS: In a community-based pooled cohort, we followed 107 845 individuals for the association between alcohol consumption, including types of alcohol and drinking patterns, and incident AF. We collected information on classical cardiovascular risk factors and incident heart failure (HF) and measured the biomarkers N-terminal pro-B-type natriuretic peptide and high-sensitivity troponin I. The median age of individuals was 47.8 years, 48.3% were men. The median alcohol consumption was 3 g/day. N = 5854 individuals developed AF (median follow-up time: 13.9 years). In a sex- and cohort-stratified Cox regression analysis alcohol consumption was non-linearly and positively associated with incident AF. The hazard ratio for one drink (12 g) per day was 1.16, 95% CI 1.11-1.22, P < 0.001. Associations were similar across types of alcohol. In contrast, alcohol consumption at lower doses was associated with reduced risk of incident HF. The association between alcohol consumption and incident AF was neither fully explained by cardiac biomarker concentrations nor by the occurrence of HF. CONCLUSIONS: In contrast to other cardiovascular diseases such as HF, even modest habitual alcohol intake of 1.2 drinks/day was associated with an increased risk of AF, which needs to be considered in AF prevention.
Published: 2021
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11. Alcohol consumption, cardiac biomarkers, and risk of atrial fibrillation and adverse outcomes

Author: Csengeri, Dora, Sprünker, Ngoc-Anh, Niiranen, Teemu, Vishram-Nielsen, Julie Kk., Costanzo, Simona, Söderberg, Stefan, Jensen, Steen M., Vartiainen, Erkki, Donati, Maria Benedetta, Magnussen, Christina, Camen, Stephan, Gianfagna, Francesco, Løchen, Maja-Lisa, Kee, Frank, Kontto, Jukka, Mathiesen, Ellisiv B., Koenig, Wolfgang, Stefan, Blankenberg, de Gaetano, Giovanni, Jørgensen, Torben, Kuulasmaa, Kari, Zeller, Tanja, Salomaa, Veikko, Iacoviello, Licia, Schnabel, Renate B., Csengeri, Dora, Sprünker, Ngoc-Anh, Niiranen, Teemu, Vishram-Nielsen, Julie Kk., Costanzo, Simona, Söderberg, Stefan, Jensen, Steen M., Vartiainen, Erkki, Donati, Maria Benedetta, Magnussen, Christina, Camen, Stephan, Gianfagna, Francesco, Løchen, Maja-Lisa, Kee, Frank, Kontto, Jukka, Mathiesen, Ellisiv B., Koenig, Wolfgang, Stefan, Blankenberg, de Gaetano, Giovanni, Jørgensen, Torben, Kuulasmaa, Kari, Zeller, Tanja, Salomaa, Veikko, Iacoviello, Licia, and Schnabel, Renate B.
Abstract: AIMS: There is inconsistent evidence on the relation of alcohol intake with incident atrial fibrillation (AF), in particular at lower doses. We assessed the association between alcohol consumption, biomarkers, and incident AF across the spectrum of alcohol intake in European cohorts. METHODS AND RESULTS: In a community-based pooled cohort, we followed 107 845 individuals for the association between alcohol consumption, including types of alcohol and drinking patterns, and incident AF. We collected information on classical cardiovascular risk factors and incident heart failure (HF) and measured the biomarkers N-terminal pro-B-type natriuretic peptide and high-sensitivity troponin I. The median age of individuals was 47.8 years, 48.3% were men. The median alcohol consumption was 3 g/day. N = 5854 individuals developed AF (median follow-up time: 13.9 years). In a sex- and cohort-stratified Cox regression analysis alcohol consumption was non-linearly and positively associated with incident AF. The hazard ratio for one drink (12 g) per day was 1.16, 95% CI 1.11-1.22, P < 0.001. Associations were similar across types of alcohol. In contrast, alcohol consumption at lower doses was associated with reduced risk of incident HF. The association between alcohol consumption and incident AF was neither fully explained by cardiac biomarker concentrations nor by the occurrence of HF. CONCLUSIONS: In contrast to other cardiovascular diseases such as HF, even modest habitual alcohol intake of 1.2 drinks/day was associated with an increased risk of AF, which needs to be considered in AF prevention.
Published: 2021
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12. Alcohol consumption, cardiac biomarkers, and risk of atrial fibrillation and adverse outcomes

Author: Csengeri, Dora, Sprünker, Ngoc-Anh, Niiranen, Teemu, Vishram-Nielsen, Julie Kk., Costanzo, Simona, Söderberg, Stefan, Jensen, Steen M., Vartiainen, Erkki, Donati, Maria Benedetta, Magnussen, Christina, Camen, Stephan, Gianfagna, Francesco, Løchen, Maja-Lisa, Kee, Frank, Kontto, Jukka, Mathiesen, Ellisiv B., Koenig, Wolfgang, Stefan, Blankenberg, de Gaetano, Giovanni, Jørgensen, Torben, Kuulasmaa, Kari, Zeller, Tanja, Salomaa, Veikko, Iacoviello, Licia, Schnabel, Renate B., Csengeri, Dora, Sprünker, Ngoc-Anh, Niiranen, Teemu, Vishram-Nielsen, Julie Kk., Costanzo, Simona, Söderberg, Stefan, Jensen, Steen M., Vartiainen, Erkki, Donati, Maria Benedetta, Magnussen, Christina, Camen, Stephan, Gianfagna, Francesco, Løchen, Maja-Lisa, Kee, Frank, Kontto, Jukka, Mathiesen, Ellisiv B., Koenig, Wolfgang, Stefan, Blankenberg, de Gaetano, Giovanni, Jørgensen, Torben, Kuulasmaa, Kari, Zeller, Tanja, Salomaa, Veikko, Iacoviello, Licia, and Schnabel, Renate B.
Abstract: AIMS: There is inconsistent evidence on the relation of alcohol intake with incident atrial fibrillation (AF), in particular at lower doses. We assessed the association between alcohol consumption, biomarkers, and incident AF across the spectrum of alcohol intake in European cohorts. METHODS AND RESULTS: In a community-based pooled cohort, we followed 107 845 individuals for the association between alcohol consumption, including types of alcohol and drinking patterns, and incident AF. We collected information on classical cardiovascular risk factors and incident heart failure (HF) and measured the biomarkers N-terminal pro-B-type natriuretic peptide and high-sensitivity troponin I. The median age of individuals was 47.8 years, 48.3% were men. The median alcohol consumption was 3 g/day. N = 5854 individuals developed AF (median follow-up time: 13.9 years). In a sex- and cohort-stratified Cox regression analysis alcohol consumption was non-linearly and positively associated with incident AF. The hazard ratio for one drink (12 g) per day was 1.16, 95% CI 1.11-1.22, P < 0.001. Associations were similar across types of alcohol. In contrast, alcohol consumption at lower doses was associated with reduced risk of incident HF. The association between alcohol consumption and incident AF was neither fully explained by cardiac biomarker concentrations nor by the occurrence of HF. CONCLUSIONS: In contrast to other cardiovascular diseases such as HF, even modest habitual alcohol intake of 1.2 drinks/day was associated with an increased risk of AF, which needs to be considered in AF prevention.
Published: 2021
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13. Alcohol consumption, cardiac biomarkers, and risk of atrial fibrillation and adverse outcomes

Author: Csengeri, Dora, Sprünker, Ngoc-Anh, Niiranen, Teemu, Vishram-Nielsen, Julie Kk., Costanzo, Simona, Söderberg, Stefan, Jensen, Steen M., Vartiainen, Erkki, Donati, Maria Benedetta, Magnussen, Christina, Camen, Stephan, Gianfagna, Francesco, Løchen, Maja-Lisa, Kee, Frank, Kontto, Jukka, Mathiesen, Ellisiv B., Koenig, Wolfgang, Stefan, Blankenberg, de Gaetano, Giovanni, Jørgensen, Torben, Kuulasmaa, Kari, Zeller, Tanja, Salomaa, Veikko, Iacoviello, Licia, Schnabel, Renate B., Csengeri, Dora, Sprünker, Ngoc-Anh, Niiranen, Teemu, Vishram-Nielsen, Julie Kk., Costanzo, Simona, Söderberg, Stefan, Jensen, Steen M., Vartiainen, Erkki, Donati, Maria Benedetta, Magnussen, Christina, Camen, Stephan, Gianfagna, Francesco, Løchen, Maja-Lisa, Kee, Frank, Kontto, Jukka, Mathiesen, Ellisiv B., Koenig, Wolfgang, Stefan, Blankenberg, de Gaetano, Giovanni, Jørgensen, Torben, Kuulasmaa, Kari, Zeller, Tanja, Salomaa, Veikko, Iacoviello, Licia, and Schnabel, Renate B.
Abstract: AIMS: There is inconsistent evidence on the relation of alcohol intake with incident atrial fibrillation (AF), in particular at lower doses. We assessed the association between alcohol consumption, biomarkers, and incident AF across the spectrum of alcohol intake in European cohorts. METHODS AND RESULTS: In a community-based pooled cohort, we followed 107 845 individuals for the association between alcohol consumption, including types of alcohol and drinking patterns, and incident AF. We collected information on classical cardiovascular risk factors and incident heart failure (HF) and measured the biomarkers N-terminal pro-B-type natriuretic peptide and high-sensitivity troponin I. The median age of individuals was 47.8 years, 48.3% were men. The median alcohol consumption was 3 g/day. N = 5854 individuals developed AF (median follow-up time: 13.9 years). In a sex- and cohort-stratified Cox regression analysis alcohol consumption was non-linearly and positively associated with incident AF. The hazard ratio for one drink (12 g) per day was 1.16, 95% CI 1.11-1.22, P < 0.001. Associations were similar across types of alcohol. In contrast, alcohol consumption at lower doses was associated with reduced risk of incident HF. The association between alcohol consumption and incident AF was neither fully explained by cardiac biomarker concentrations nor by the occurrence of HF. CONCLUSIONS: In contrast to other cardiovascular diseases such as HF, even modest habitual alcohol intake of 1.2 drinks/day was associated with an increased risk of AF, which needs to be considered in AF prevention.
Published: 2021
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14. Alcohol consumption, cardiac biomarkers, and risk of atrial fibrillation and adverse outcomes

Author: Csengeri, Dora, Sprünker, Ngoc-Anh, Niiranen, Teemu, Vishram-Nielsen, Julie Kk., Costanzo, Simona, Söderberg, Stefan, Jensen, Steen M., Vartiainen, Erkki, Donati, Maria Benedetta, Magnussen, Christina, Camen, Stephan, Gianfagna, Francesco, Løchen, Maja-Lisa, Kee, Frank, Kontto, Jukka, Mathiesen, Ellisiv B., Koenig, Wolfgang, Stefan, Blankenberg, de Gaetano, Giovanni, Jørgensen, Torben, Kuulasmaa, Kari, Zeller, Tanja, Salomaa, Veikko, Iacoviello, Licia, Schnabel, Renate B., Csengeri, Dora, Sprünker, Ngoc-Anh, Niiranen, Teemu, Vishram-Nielsen, Julie Kk., Costanzo, Simona, Söderberg, Stefan, Jensen, Steen M., Vartiainen, Erkki, Donati, Maria Benedetta, Magnussen, Christina, Camen, Stephan, Gianfagna, Francesco, Løchen, Maja-Lisa, Kee, Frank, Kontto, Jukka, Mathiesen, Ellisiv B., Koenig, Wolfgang, Stefan, Blankenberg, de Gaetano, Giovanni, Jørgensen, Torben, Kuulasmaa, Kari, Zeller, Tanja, Salomaa, Veikko, Iacoviello, Licia, and Schnabel, Renate B.
Abstract: AIMS: There is inconsistent evidence on the relation of alcohol intake with incident atrial fibrillation (AF), in particular at lower doses. We assessed the association between alcohol consumption, biomarkers, and incident AF across the spectrum of alcohol intake in European cohorts. METHODS AND RESULTS: In a community-based pooled cohort, we followed 107 845 individuals for the association between alcohol consumption, including types of alcohol and drinking patterns, and incident AF. We collected information on classical cardiovascular risk factors and incident heart failure (HF) and measured the biomarkers N-terminal pro-B-type natriuretic peptide and high-sensitivity troponin I. The median age of individuals was 47.8 years, 48.3% were men. The median alcohol consumption was 3 g/day. N = 5854 individuals developed AF (median follow-up time: 13.9 years). In a sex- and cohort-stratified Cox regression analysis alcohol consumption was non-linearly and positively associated with incident AF. The hazard ratio for one drink (12 g) per day was 1.16, 95% CI 1.11-1.22, P < 0.001. Associations were similar across types of alcohol. In contrast, alcohol consumption at lower doses was associated with reduced risk of incident HF. The association between alcohol consumption and incident AF was neither fully explained by cardiac biomarker concentrations nor by the occurrence of HF. CONCLUSIONS: In contrast to other cardiovascular diseases such as HF, even modest habitual alcohol intake of 1.2 drinks/day was associated with an increased risk of AF, which needs to be considered in AF prevention.
Published: 2021
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15. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

Author: Erzurumluoglu, A. Mesut, Liu, Mengzhen, Jackson, Victoria E., Barnes, Daniel R., Datta, Gargi, Melbourne, Carl A., Young, Robin, Batini, Chiara, Surendran, Praveen, Jiang, Tao, Adnan, Sheikh Daud, Afaq, Saima, Agrawal, Arpana, Altmaier, Elisabeth, Antoniou, Antonis C., Asselbergs, Folkert W., Baumbach, Clemens, Bierut, Laura, Bertelsen, Sarah, Boehnke, Michael, Bots, Michiel L, Brazel, David M, Chambers, John C, Chang-Claude, Jenny, Chen, Chu, Corley, Janie, Chou, Yi-Ling, David, Sean P, de Boer, Rudolf A, de Leeuw, Christiaan A, Dennis, Joe G, Dominiczak, Anna F, Dunning, Alison M, Easton, Douglas F, Eaton, Charles, Elliott, Paul, Evangelou, Evangelos, Faul, Jessica D, Foroud, Tatiana, Goate, Alison, Gong, Jian, Grabe, Hans J, Haessler, Jeff, Haiman, Christopher, Hallmans, Göran, Hammerschlag, Anke R, Harris, Sarah E, Hattersley, Andrew, Heath, Andrew, Hsu, Chris, Iacono, William G, Kanoni, Stavroula, Kapoor, Manav, Kaprio, Jaakko, Kardia, Sharon L, Karpe, Fredrik, Kontto, Jukka, Kooner, Jaspal S, Kooperberg, Charles, Kuulasmaa, Kari, Laakso, Markku, Lai, Dongbing, Langenberg, Claudia, Le, Nhung, Lettre, Guillaume, Loukola, Anu, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, Marioni, Riccardo E, Marouli, Eirini, Marten, Jonathan, Martin, Nicholas G, McGue, Matt, Michailidou, Kyriaki, Mihailov, Evelin, Moayyeri, Alireza, Moitry, Marie, Müller-Nurasyid, Martina, Naheed, Aliya, Nauck, Matthias, Neville, Matthew J, Nielsen, Sune Fallgaard, North, Kari, Perola, Markus, Pharoah, Paul D P, Pistis, Giorgio, Polderman, Tinca J, Posthuma, Danielle, Poulter, Neil, Qaiser, Beenish, Rasheed, Asif, Reiner, Alex, Renstrom, Frida, Rice, John, Rohde, Rebecca, Rolandsson, Olov, Samani, Nilesh J, Samuel, Maria, Schlessinger, David, Scholte, Steven H, Scott, Robert A, Sever, Peter, Shao, Yaming, Shrine, Nick, Smith, Jennifer A, Starr, John M, Stirrups, Kathleen, Stram, Danielle, Stringham, Heather M, Tachmazidou, Ioanna, Tardif, Jean-Claude, Thompson, Deborah J, Tindle, Hilary A, Tragante, Vinicius, Trompet, Stella, Turcot, Valerie, Tyrrell, Jessica, Vaartjes, Ilonca, van der Leij, Andries R, van der Meer, Peter, Varga, Tibor V, Verweij, Niek, Völzke, Henry, Wareham, Nicholas J, Warren, Helen R, Weir, David R, Weiss, Stefan, Wetherill, Leah, Yaghootkar, Hanieh, Yavas, Ersin, Jiang, Yu, Chen, Fang, Zhan, Xiaowei, Zhang, Weihua, Zhao, Wei, Zhou, Kaixin, Amouyel, Philippe, Blankenberg, Stefan, Caulfield, Mark J, Chowdhury, Rajiv, Cucca, Francesco, Deary, Ian J, Deloukas, Panos, Di Angelantonio, Emanuele, Ferrario, Marco, Ferrières, Jean, Franks, Paul W, Frayling, Tim M, Frossard, Philippe, Hall, Ian P, Hayward, Caroline, Jansson, Jan-Håkan, Jukema, J Wouter, Kee, Frank, Männistö, Satu, Metspalu, Andres, Munroe, Patricia B, Nordestgaard, Børge Grønne, Palmer, Colin N A, Salomaa, Veikko, Sattar, Naveed, Spector, Timothy, Strachan, David Peter, van der Harst, Pim, Zeggini, Eleftheria, Saleheen, Danish, Butterworth, Adam S, Wain, Louise V, Abecasis, Goncalo R, Danesh, John, Tobin, Martin D, Vrieze, Scott, Liu, Dajiang J, Howson, Joanna M M, Erzurumluoglu, A. Mesut, Liu, Mengzhen, Jackson, Victoria E., Barnes, Daniel R., Datta, Gargi, Melbourne, Carl A., Young, Robin, Batini, Chiara, Surendran, Praveen, Jiang, Tao, Adnan, Sheikh Daud, Afaq, Saima, Agrawal, Arpana, Altmaier, Elisabeth, Antoniou, Antonis C., Asselbergs, Folkert W., Baumbach, Clemens, Bierut, Laura, Bertelsen, Sarah, Boehnke, Michael, Bots, Michiel L, Brazel, David M, Chambers, John C, Chang-Claude, Jenny, Chen, Chu, Corley, Janie, Chou, Yi-Ling, David, Sean P, de Boer, Rudolf A, de Leeuw, Christiaan A, Dennis, Joe G, Dominiczak, Anna F, Dunning, Alison M, Easton, Douglas F, Eaton, Charles, Elliott, Paul, Evangelou, Evangelos, Faul, Jessica D, Foroud, Tatiana, Goate, Alison, Gong, Jian, Grabe, Hans J, Haessler, Jeff, Haiman, Christopher, Hallmans, Göran, Hammerschlag, Anke R, Harris, Sarah E, Hattersley, Andrew, Heath, Andrew, Hsu, Chris, Iacono, William G, Kanoni, Stavroula, Kapoor, Manav, Kaprio, Jaakko, Kardia, Sharon L, Karpe, Fredrik, Kontto, Jukka, Kooner, Jaspal S, Kooperberg, Charles, Kuulasmaa, Kari, Laakso, Markku, Lai, Dongbing, Langenberg, Claudia, Le, Nhung, Lettre, Guillaume, Loukola, Anu, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, Marioni, Riccardo E, Marouli, Eirini, Marten, Jonathan, Martin, Nicholas G, McGue, Matt, Michailidou, Kyriaki, Mihailov, Evelin, Moayyeri, Alireza, Moitry, Marie, Müller-Nurasyid, Martina, Naheed, Aliya, Nauck, Matthias, Neville, Matthew J, Nielsen, Sune Fallgaard, North, Kari, Perola, Markus, Pharoah, Paul D P, Pistis, Giorgio, Polderman, Tinca J, Posthuma, Danielle, Poulter, Neil, Qaiser, Beenish, Rasheed, Asif, Reiner, Alex, Renstrom, Frida, Rice, John, Rohde, Rebecca, Rolandsson, Olov, Samani, Nilesh J, Samuel, Maria, Schlessinger, David, Scholte, Steven H, Scott, Robert A, Sever, Peter, Shao, Yaming, Shrine, Nick, Smith, Jennifer A, Starr, John M, Stirrups, Kathleen, Stram, Danielle, Stringham, Heather M, Tachmazidou, Ioanna, Tardif, Jean-Claude, Thompson, Deborah J, Tindle, Hilary A, Tragante, Vinicius, Trompet, Stella, Turcot, Valerie, Tyrrell, Jessica, Vaartjes, Ilonca, van der Leij, Andries R, van der Meer, Peter, Varga, Tibor V, Verweij, Niek, Völzke, Henry, Wareham, Nicholas J, Warren, Helen R, Weir, David R, Weiss, Stefan, Wetherill, Leah, Yaghootkar, Hanieh, Yavas, Ersin, Jiang, Yu, Chen, Fang, Zhan, Xiaowei, Zhang, Weihua, Zhao, Wei, Zhou, Kaixin, Amouyel, Philippe, Blankenberg, Stefan, Caulfield, Mark J, Chowdhury, Rajiv, Cucca, Francesco, Deary, Ian J, Deloukas, Panos, Di Angelantonio, Emanuele, Ferrario, Marco, Ferrières, Jean, Franks, Paul W, Frayling, Tim M, Frossard, Philippe, Hall, Ian P, Hayward, Caroline, Jansson, Jan-Håkan, Jukema, J Wouter, Kee, Frank, Männistö, Satu, Metspalu, Andres, Munroe, Patricia B, Nordestgaard, Børge Grønne, Palmer, Colin N A, Salomaa, Veikko, Sattar, Naveed, Spector, Timothy, Strachan, David Peter, van der Harst, Pim, Zeggini, Eleftheria, Saleheen, Danish, Butterworth, Adam S, Wain, Louise V, Abecasis, Goncalo R, Danesh, John, Tobin, Martin D, Vrieze, Scott, Liu, Dajiang J, and Howson, Joanna M M
Abstract: Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking behaviour-related traits. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). In a subset of 112,811 participants, a further one million SNVs were also genotyped and tested for association with the four smoking behaviour traits. SNV-trait associations with P < 5 × 10-8 in either analysis were taken forward for replication in up to 275,596 independent participants from UK Biobank. Lastly, a meta-analysis of the discovery and replication studies was performed. Sixteen SNVs were associated with at least one of the smoking behaviour traits (P < 5 × 10-8) in the discovery samples. Ten novel SNVs, including rs12616219 near TMEM182, were followed-up and five of them (rs462779 in REV3L, rs12780116 in CNNM2, rs1190736 in GPR101, rs11539157 in PJA1, and rs12616219 near TMEM182) replicated at a Bonferroni significance threshold (P < 4.5 × 10-3) with consistent direction of effect. A further 35 SNVs were associated with smoking behaviour traits in the discovery plus replication meta-analysis (up to 622,409 participants) including a rare SNV, rs150493199, in CCDC141 and two low-frequency SNVs in CEP350 and HDGFRP2. Functional follow-up implied that decreased expression of REV3L may lower the probability of smoking initiation. The novel loci will facilitate understanding the genetic aetiology of smoking behaviour and may lead to the identification of potential drug targets for smoking prevention and/or cessation.
Published: 2020
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16. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

Author: Erzurumluoglu, A. Mesut, Liu, Mengzhen, Jackson, Victoria E., Barnes, Daniel R., Datta, Gargi, Melbourne, Carl A., Young, Robin, Batini, Chiara, Surendran, Praveen, Jiang, Tao, Adnan, Sheikh Daud, Afaq, Saima, Agrawal, Arpana, Altmaier, Elisabeth, Antoniou, Antonis C., Asselbergs, Folkert W., Baumbach, Clemens, Bierut, Laura, Bertelsen, Sarah, Boehnke, Michael, Bots, Michiel L, Brazel, David M, Chambers, John C, Chang-Claude, Jenny, Chen, Chu, Corley, Janie, Chou, Yi-Ling, David, Sean P, de Boer, Rudolf A, de Leeuw, Christiaan A, Dennis, Joe G, Dominiczak, Anna F, Dunning, Alison M, Easton, Douglas F, Eaton, Charles, Elliott, Paul, Evangelou, Evangelos, Faul, Jessica D, Foroud, Tatiana, Goate, Alison, Gong, Jian, Grabe, Hans J, Haessler, Jeff, Haiman, Christopher, Hallmans, Göran, Hammerschlag, Anke R, Harris, Sarah E, Hattersley, Andrew, Heath, Andrew, Hsu, Chris, Iacono, William G, Kanoni, Stavroula, Kapoor, Manav, Kaprio, Jaakko, Kardia, Sharon L, Karpe, Fredrik, Kontto, Jukka, Kooner, Jaspal S, Kooperberg, Charles, Kuulasmaa, Kari, Laakso, Markku, Lai, Dongbing, Langenberg, Claudia, Le, Nhung, Lettre, Guillaume, Loukola, Anu, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, Marioni, Riccardo E, Marouli, Eirini, Marten, Jonathan, Martin, Nicholas G, McGue, Matt, Michailidou, Kyriaki, Mihailov, Evelin, Moayyeri, Alireza, Moitry, Marie, Müller-Nurasyid, Martina, Naheed, Aliya, Nauck, Matthias, Neville, Matthew J, Nielsen, Sune Fallgaard, North, Kari, Perola, Markus, Pharoah, Paul D P, Pistis, Giorgio, Polderman, Tinca J, Posthuma, Danielle, Poulter, Neil, Qaiser, Beenish, Rasheed, Asif, Reiner, Alex, Renstrom, Frida, Rice, John, Rohde, Rebecca, Rolandsson, Olov, Samani, Nilesh J, Samuel, Maria, Schlessinger, David, Scholte, Steven H, Scott, Robert A, Sever, Peter, Shao, Yaming, Shrine, Nick, Smith, Jennifer A, Starr, John M, Stirrups, Kathleen, Stram, Danielle, Stringham, Heather M, Tachmazidou, Ioanna, Tardif, Jean-Claude, Thompson, Deborah J, Tindle, Hilary A, Tragante, Vinicius, Trompet, Stella, Turcot, Valerie, Tyrrell, Jessica, Vaartjes, Ilonca, van der Leij, Andries R, van der Meer, Peter, Varga, Tibor V, Verweij, Niek, Völzke, Henry, Wareham, Nicholas J, Warren, Helen R, Weir, David R, Weiss, Stefan, Wetherill, Leah, Yaghootkar, Hanieh, Yavas, Ersin, Jiang, Yu, Chen, Fang, Zhan, Xiaowei, Zhang, Weihua, Zhao, Wei, Zhou, Kaixin, Amouyel, Philippe, Blankenberg, Stefan, Caulfield, Mark J, Chowdhury, Rajiv, Cucca, Francesco, Deary, Ian J, Deloukas, Panos, Di Angelantonio, Emanuele, Ferrario, Marco, Ferrières, Jean, Franks, Paul W, Frayling, Tim M, Frossard, Philippe, Hall, Ian P, Hayward, Caroline, Jansson, Jan-Håkan, Jukema, J Wouter, Kee, Frank, Männistö, Satu, Metspalu, Andres, Munroe, Patricia B, Nordestgaard, Børge Grønne, Palmer, Colin N A, Salomaa, Veikko, Sattar, Naveed, Spector, Timothy, Strachan, David Peter, van der Harst, Pim, Zeggini, Eleftheria, Saleheen, Danish, Butterworth, Adam S, Wain, Louise V, Abecasis, Goncalo R, Danesh, John, Tobin, Martin D, Vrieze, Scott, Liu, Dajiang J, Howson, Joanna M M, Erzurumluoglu, A. Mesut, Liu, Mengzhen, Jackson, Victoria E., Barnes, Daniel R., Datta, Gargi, Melbourne, Carl A., Young, Robin, Batini, Chiara, Surendran, Praveen, Jiang, Tao, Adnan, Sheikh Daud, Afaq, Saima, Agrawal, Arpana, Altmaier, Elisabeth, Antoniou, Antonis C., Asselbergs, Folkert W., Baumbach, Clemens, Bierut, Laura, Bertelsen, Sarah, Boehnke, Michael, Bots, Michiel L, Brazel, David M, Chambers, John C, Chang-Claude, Jenny, Chen, Chu, Corley, Janie, Chou, Yi-Ling, David, Sean P, de Boer, Rudolf A, de Leeuw, Christiaan A, Dennis, Joe G, Dominiczak, Anna F, Dunning, Alison M, Easton, Douglas F, Eaton, Charles, Elliott, Paul, Evangelou, Evangelos, Faul, Jessica D, Foroud, Tatiana, Goate, Alison, Gong, Jian, Grabe, Hans J, Haessler, Jeff, Haiman, Christopher, Hallmans, Göran, Hammerschlag, Anke R, Harris, Sarah E, Hattersley, Andrew, Heath, Andrew, Hsu, Chris, Iacono, William G, Kanoni, Stavroula, Kapoor, Manav, Kaprio, Jaakko, Kardia, Sharon L, Karpe, Fredrik, Kontto, Jukka, Kooner, Jaspal S, Kooperberg, Charles, Kuulasmaa, Kari, Laakso, Markku, Lai, Dongbing, Langenberg, Claudia, Le, Nhung, Lettre, Guillaume, Loukola, Anu, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, Marioni, Riccardo E, Marouli, Eirini, Marten, Jonathan, Martin, Nicholas G, McGue, Matt, Michailidou, Kyriaki, Mihailov, Evelin, Moayyeri, Alireza, Moitry, Marie, Müller-Nurasyid, Martina, Naheed, Aliya, Nauck, Matthias, Neville, Matthew J, Nielsen, Sune Fallgaard, North, Kari, Perola, Markus, Pharoah, Paul D P, Pistis, Giorgio, Polderman, Tinca J, Posthuma, Danielle, Poulter, Neil, Qaiser, Beenish, Rasheed, Asif, Reiner, Alex, Renstrom, Frida, Rice, John, Rohde, Rebecca, Rolandsson, Olov, Samani, Nilesh J, Samuel, Maria, Schlessinger, David, Scholte, Steven H, Scott, Robert A, Sever, Peter, Shao, Yaming, Shrine, Nick, Smith, Jennifer A, Starr, John M, Stirrups, Kathleen, Stram, Danielle, Stringham, Heather M, Tachmazidou, Ioanna, Tardif, Jean-Claude, Thompson, Deborah J, Tindle, Hilary A, Tragante, Vinicius, Trompet, Stella, Turcot, Valerie, Tyrrell, Jessica, Vaartjes, Ilonca, van der Leij, Andries R, van der Meer, Peter, Varga, Tibor V, Verweij, Niek, Völzke, Henry, Wareham, Nicholas J, Warren, Helen R, Weir, David R, Weiss, Stefan, Wetherill, Leah, Yaghootkar, Hanieh, Yavas, Ersin, Jiang, Yu, Chen, Fang, Zhan, Xiaowei, Zhang, Weihua, Zhao, Wei, Zhou, Kaixin, Amouyel, Philippe, Blankenberg, Stefan, Caulfield, Mark J, Chowdhury, Rajiv, Cucca, Francesco, Deary, Ian J, Deloukas, Panos, Di Angelantonio, Emanuele, Ferrario, Marco, Ferrières, Jean, Franks, Paul W, Frayling, Tim M, Frossard, Philippe, Hall, Ian P, Hayward, Caroline, Jansson, Jan-Håkan, Jukema, J Wouter, Kee, Frank, Männistö, Satu, Metspalu, Andres, Munroe, Patricia B, Nordestgaard, Børge Grønne, Palmer, Colin N A, Salomaa, Veikko, Sattar, Naveed, Spector, Timothy, Strachan, David Peter, van der Harst, Pim, Zeggini, Eleftheria, Saleheen, Danish, Butterworth, Adam S, Wain, Louise V, Abecasis, Goncalo R, Danesh, John, Tobin, Martin D, Vrieze, Scott, Liu, Dajiang J, and Howson, Joanna M M
Abstract: Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking behaviour-related traits. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). In a subset of 112,811 participants, a further one million SNVs were also genotyped and tested for association with the four smoking behaviour traits. SNV-trait associations with P < 5 × 10-8 in either analysis were taken forward for replication in up to 275,596 independent participants from UK Biobank. Lastly, a meta-analysis of the discovery and replication studies was performed. Sixteen SNVs were associated with at least one of the smoking behaviour traits (P < 5 × 10-8) in the discovery samples. Ten novel SNVs, including rs12616219 near TMEM182, were followed-up and five of them (rs462779 in REV3L, rs12780116 in CNNM2, rs1190736 in GPR101, rs11539157 in PJA1, and rs12616219 near TMEM182) replicated at a Bonferroni significance threshold (P < 4.5 × 10-3) with consistent direction of effect. A further 35 SNVs were associated with smoking behaviour traits in the discovery plus replication meta-analysis (up to 622,409 participants) including a rare SNV, rs150493199, in CCDC141 and two low-frequency SNVs in CEP350 and HDGFRP2. Functional follow-up implied that decreased expression of REV3L may lower the probability of smoking initiation. The novel loci will facilitate understanding the genetic aetiology of smoking behaviour and may lead to the identification of potential drug targets for smoking prevention and/or cessation.
Published: 2020
Full Text: View/download PDF

17. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

Author: Erzurumluoglu, A. Mesut, Liu, Mengzhen, Jackson, Victoria E., Barnes, Daniel R., Datta, Gargi, Melbourne, Carl A., Young, Robin, Batini, Chiara, Surendran, Praveen, Jiang, Tao, Adnan, Sheikh Daud, Afaq, Saima, Agrawal, Arpana, Altmaier, Elisabeth, Antoniou, Antonis C., Asselbergs, Folkert W., Baumbach, Clemens, Bierut, Laura, Bertelsen, Sarah, Boehnke, Michael, Bots, Michiel L, Brazel, David M, Chambers, John C, Chang-Claude, Jenny, Chen, Chu, Corley, Janie, Chou, Yi-Ling, David, Sean P, de Boer, Rudolf A, de Leeuw, Christiaan A, Dennis, Joe G, Dominiczak, Anna F, Dunning, Alison M, Easton, Douglas F, Eaton, Charles, Elliott, Paul, Evangelou, Evangelos, Faul, Jessica D, Foroud, Tatiana, Goate, Alison, Gong, Jian, Grabe, Hans J, Haessler, Jeff, Haiman, Christopher, Hallmans, Göran, Hammerschlag, Anke R, Harris, Sarah E, Hattersley, Andrew, Heath, Andrew, Hsu, Chris, Iacono, William G, Kanoni, Stavroula, Kapoor, Manav, Kaprio, Jaakko, Kardia, Sharon L, Karpe, Fredrik, Kontto, Jukka, Kooner, Jaspal S, Kooperberg, Charles, Kuulasmaa, Kari, Laakso, Markku, Lai, Dongbing, Langenberg, Claudia, Le, Nhung, Lettre, Guillaume, Loukola, Anu, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, Marioni, Riccardo E, Marouli, Eirini, Marten, Jonathan, Martin, Nicholas G, McGue, Matt, Michailidou, Kyriaki, Mihailov, Evelin, Moayyeri, Alireza, Moitry, Marie, Müller-Nurasyid, Martina, Naheed, Aliya, Nauck, Matthias, Neville, Matthew J, Nielsen, Sune Fallgaard, North, Kari, Perola, Markus, Pharoah, Paul D P, Pistis, Giorgio, Polderman, Tinca J, Posthuma, Danielle, Poulter, Neil, Qaiser, Beenish, Rasheed, Asif, Reiner, Alex, Renstrom, Frida, Rice, John, Rohde, Rebecca, Rolandsson, Olov, Samani, Nilesh J, Samuel, Maria, Schlessinger, David, Scholte, Steven H, Scott, Robert A, Sever, Peter, Shao, Yaming, Shrine, Nick, Smith, Jennifer A, Starr, John M, Stirrups, Kathleen, Stram, Danielle, Stringham, Heather M, Tachmazidou, Ioanna, Tardif, Jean-Claude, Thompson, Deborah J, Tindle, Hilary A, Tragante, Vinicius, Trompet, Stella, Turcot, Valerie, Tyrrell, Jessica, Vaartjes, Ilonca, van der Leij, Andries R, van der Meer, Peter, Varga, Tibor V, Verweij, Niek, Völzke, Henry, Wareham, Nicholas J, Warren, Helen R, Weir, David R, Weiss, Stefan, Wetherill, Leah, Yaghootkar, Hanieh, Yavas, Ersin, Jiang, Yu, Chen, Fang, Zhan, Xiaowei, Zhang, Weihua, Zhao, Wei, Zhou, Kaixin, Amouyel, Philippe, Blankenberg, Stefan, Caulfield, Mark J, Chowdhury, Rajiv, Cucca, Francesco, Deary, Ian J, Deloukas, Panos, Di Angelantonio, Emanuele, Ferrario, Marco, Ferrières, Jean, Franks, Paul W, Frayling, Tim M, Frossard, Philippe, Hall, Ian P, Hayward, Caroline, Jansson, Jan-Håkan, Jukema, J Wouter, Kee, Frank, Männistö, Satu, Metspalu, Andres, Munroe, Patricia B, Nordestgaard, Børge Grønne, Palmer, Colin N A, Salomaa, Veikko, Sattar, Naveed, Spector, Timothy, Strachan, David Peter, van der Harst, Pim, Zeggini, Eleftheria, Saleheen, Danish, Butterworth, Adam S, Wain, Louise V, Abecasis, Goncalo R, Danesh, John, Tobin, Martin D, Vrieze, Scott, Liu, Dajiang J, Howson, Joanna M M, Erzurumluoglu, A. Mesut, Liu, Mengzhen, Jackson, Victoria E., Barnes, Daniel R., Datta, Gargi, Melbourne, Carl A., Young, Robin, Batini, Chiara, Surendran, Praveen, Jiang, Tao, Adnan, Sheikh Daud, Afaq, Saima, Agrawal, Arpana, Altmaier, Elisabeth, Antoniou, Antonis C., Asselbergs, Folkert W., Baumbach, Clemens, Bierut, Laura, Bertelsen, Sarah, Boehnke, Michael, Bots, Michiel L, Brazel, David M, Chambers, John C, Chang-Claude, Jenny, Chen, Chu, Corley, Janie, Chou, Yi-Ling, David, Sean P, de Boer, Rudolf A, de Leeuw, Christiaan A, Dennis, Joe G, Dominiczak, Anna F, Dunning, Alison M, Easton, Douglas F, Eaton, Charles, Elliott, Paul, Evangelou, Evangelos, Faul, Jessica D, Foroud, Tatiana, Goate, Alison, Gong, Jian, Grabe, Hans J, Haessler, Jeff, Haiman, Christopher, Hallmans, Göran, Hammerschlag, Anke R, Harris, Sarah E, Hattersley, Andrew, Heath, Andrew, Hsu, Chris, Iacono, William G, Kanoni, Stavroula, Kapoor, Manav, Kaprio, Jaakko, Kardia, Sharon L, Karpe, Fredrik, Kontto, Jukka, Kooner, Jaspal S, Kooperberg, Charles, Kuulasmaa, Kari, Laakso, Markku, Lai, Dongbing, Langenberg, Claudia, Le, Nhung, Lettre, Guillaume, Loukola, Anu, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, Marioni, Riccardo E, Marouli, Eirini, Marten, Jonathan, Martin, Nicholas G, McGue, Matt, Michailidou, Kyriaki, Mihailov, Evelin, Moayyeri, Alireza, Moitry, Marie, Müller-Nurasyid, Martina, Naheed, Aliya, Nauck, Matthias, Neville, Matthew J, Nielsen, Sune Fallgaard, North, Kari, Perola, Markus, Pharoah, Paul D P, Pistis, Giorgio, Polderman, Tinca J, Posthuma, Danielle, Poulter, Neil, Qaiser, Beenish, Rasheed, Asif, Reiner, Alex, Renstrom, Frida, Rice, John, Rohde, Rebecca, Rolandsson, Olov, Samani, Nilesh J, Samuel, Maria, Schlessinger, David, Scholte, Steven H, Scott, Robert A, Sever, Peter, Shao, Yaming, Shrine, Nick, Smith, Jennifer A, Starr, John M, Stirrups, Kathleen, Stram, Danielle, Stringham, Heather M, Tachmazidou, Ioanna, Tardif, Jean-Claude, Thompson, Deborah J, Tindle, Hilary A, Tragante, Vinicius, Trompet, Stella, Turcot, Valerie, Tyrrell, Jessica, Vaartjes, Ilonca, van der Leij, Andries R, van der Meer, Peter, Varga, Tibor V, Verweij, Niek, Völzke, Henry, Wareham, Nicholas J, Warren, Helen R, Weir, David R, Weiss, Stefan, Wetherill, Leah, Yaghootkar, Hanieh, Yavas, Ersin, Jiang, Yu, Chen, Fang, Zhan, Xiaowei, Zhang, Weihua, Zhao, Wei, Zhou, Kaixin, Amouyel, Philippe, Blankenberg, Stefan, Caulfield, Mark J, Chowdhury, Rajiv, Cucca, Francesco, Deary, Ian J, Deloukas, Panos, Di Angelantonio, Emanuele, Ferrario, Marco, Ferrières, Jean, Franks, Paul W, Frayling, Tim M, Frossard, Philippe, Hall, Ian P, Hayward, Caroline, Jansson, Jan-Håkan, Jukema, J Wouter, Kee, Frank, Männistö, Satu, Metspalu, Andres, Munroe, Patricia B, Nordestgaard, Børge Grønne, Palmer, Colin N A, Salomaa, Veikko, Sattar, Naveed, Spector, Timothy, Strachan, David Peter, van der Harst, Pim, Zeggini, Eleftheria, Saleheen, Danish, Butterworth, Adam S, Wain, Louise V, Abecasis, Goncalo R, Danesh, John, Tobin, Martin D, Vrieze, Scott, Liu, Dajiang J, and Howson, Joanna M M
Abstract: Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking behaviour-related traits. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). In a subset of 112,811 participants, a further one million SNVs were also genotyped and tested for association with the four smoking behaviour traits. SNV-trait associations with P < 5 × 10-8 in either analysis were taken forward for replication in up to 275,596 independent participants from UK Biobank. Lastly, a meta-analysis of the discovery and replication studies was performed. Sixteen SNVs were associated with at least one of the smoking behaviour traits (P < 5 × 10-8) in the discovery samples. Ten novel SNVs, including rs12616219 near TMEM182, were followed-up and five of them (rs462779 in REV3L, rs12780116 in CNNM2, rs1190736 in GPR101, rs11539157 in PJA1, and rs12616219 near TMEM182) replicated at a Bonferroni significance threshold (P < 4.5 × 10-3) with consistent direction of effect. A further 35 SNVs were associated with smoking behaviour traits in the discovery plus replication meta-analysis (up to 622,409 participants) including a rare SNV, rs150493199, in CCDC141 and two low-frequency SNVs in CEP350 and HDGFRP2. Functional follow-up implied that decreased expression of REV3L may lower the probability of smoking initiation. The novel loci will facilitate understanding the genetic aetiology of smoking behaviour and may lead to the identification of potential drug targets for smoking prevention and/or cessation.
Published: 2020
Full Text: View/download PDF

18. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

Author: Erzurumluoglu, A. Mesut, Liu, Mengzhen, Jackson, Victoria E., Barnes, Daniel R., Datta, Gargi, Melbourne, Carl A., Young, Robin, Batini, Chiara, Surendran, Praveen, Jiang, Tao, Adnan, Sheikh Daud, Afaq, Saima, Agrawal, Arpana, Altmaier, Elisabeth, Antoniou, Antonis C., Asselbergs, Folkert W., Baumbach, Clemens, Bierut, Laura, Bertelsen, Sarah, Boehnke, Michael, Bots, Michiel L, Brazel, David M, Chambers, John C, Chang-Claude, Jenny, Chen, Chu, Corley, Janie, Chou, Yi-Ling, David, Sean P, de Boer, Rudolf A, de Leeuw, Christiaan A, Dennis, Joe G, Dominiczak, Anna F, Dunning, Alison M, Easton, Douglas F, Eaton, Charles, Elliott, Paul, Evangelou, Evangelos, Faul, Jessica D, Foroud, Tatiana, Goate, Alison, Gong, Jian, Grabe, Hans J, Haessler, Jeff, Haiman, Christopher, Hallmans, Göran, Hammerschlag, Anke R, Harris, Sarah E, Hattersley, Andrew, Heath, Andrew, Hsu, Chris, Iacono, William G, Kanoni, Stavroula, Kapoor, Manav, Kaprio, Jaakko, Kardia, Sharon L, Karpe, Fredrik, Kontto, Jukka, Kooner, Jaspal S, Kooperberg, Charles, Kuulasmaa, Kari, Laakso, Markku, Lai, Dongbing, Langenberg, Claudia, Le, Nhung, Lettre, Guillaume, Loukola, Anu, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, Marioni, Riccardo E, Marouli, Eirini, Marten, Jonathan, Martin, Nicholas G, McGue, Matt, Michailidou, Kyriaki, Mihailov, Evelin, Moayyeri, Alireza, Moitry, Marie, Müller-Nurasyid, Martina, Naheed, Aliya, Nauck, Matthias, Neville, Matthew J, Nielsen, Sune Fallgaard, North, Kari, Perola, Markus, Pharoah, Paul D P, Pistis, Giorgio, Polderman, Tinca J, Posthuma, Danielle, Poulter, Neil, Qaiser, Beenish, Rasheed, Asif, Reiner, Alex, Renstrom, Frida, Rice, John, Rohde, Rebecca, Rolandsson, Olov, Samani, Nilesh J, Samuel, Maria, Schlessinger, David, Scholte, Steven H, Scott, Robert A, Sever, Peter, Shao, Yaming, Shrine, Nick, Smith, Jennifer A, Starr, John M, Stirrups, Kathleen, Stram, Danielle, Stringham, Heather M, Tachmazidou, Ioanna, Tardif, Jean-Claude, Thompson, Deborah J, Tindle, Hilary A, Tragante, Vinicius, Trompet, Stella, Turcot, Valerie, Tyrrell, Jessica, Vaartjes, Ilonca, van der Leij, Andries R, van der Meer, Peter, Varga, Tibor V, Verweij, Niek, Völzke, Henry, Wareham, Nicholas J, Warren, Helen R, Weir, David R, Weiss, Stefan, Wetherill, Leah, Yaghootkar, Hanieh, Yavas, Ersin, Jiang, Yu, Chen, Fang, Zhan, Xiaowei, Zhang, Weihua, Zhao, Wei, Zhou, Kaixin, Amouyel, Philippe, Blankenberg, Stefan, Caulfield, Mark J, Chowdhury, Rajiv, Cucca, Francesco, Deary, Ian J, Deloukas, Panos, Di Angelantonio, Emanuele, Ferrario, Marco, Ferrières, Jean, Franks, Paul W, Frayling, Tim M, Frossard, Philippe, Hall, Ian P, Hayward, Caroline, Jansson, Jan-Håkan, Jukema, J Wouter, Kee, Frank, Männistö, Satu, Metspalu, Andres, Munroe, Patricia B, Nordestgaard, Børge Grønne, Palmer, Colin N A, Salomaa, Veikko, Sattar, Naveed, Spector, Timothy, Strachan, David Peter, van der Harst, Pim, Zeggini, Eleftheria, Saleheen, Danish, Butterworth, Adam S, Wain, Louise V, Abecasis, Goncalo R, Danesh, John, Tobin, Martin D, Vrieze, Scott, Liu, Dajiang J, Howson, Joanna M M, Erzurumluoglu, A. Mesut, Liu, Mengzhen, Jackson, Victoria E., Barnes, Daniel R., Datta, Gargi, Melbourne, Carl A., Young, Robin, Batini, Chiara, Surendran, Praveen, Jiang, Tao, Adnan, Sheikh Daud, Afaq, Saima, Agrawal, Arpana, Altmaier, Elisabeth, Antoniou, Antonis C., Asselbergs, Folkert W., Baumbach, Clemens, Bierut, Laura, Bertelsen, Sarah, Boehnke, Michael, Bots, Michiel L, Brazel, David M, Chambers, John C, Chang-Claude, Jenny, Chen, Chu, Corley, Janie, Chou, Yi-Ling, David, Sean P, de Boer, Rudolf A, de Leeuw, Christiaan A, Dennis, Joe G, Dominiczak, Anna F, Dunning, Alison M, Easton, Douglas F, Eaton, Charles, Elliott, Paul, Evangelou, Evangelos, Faul, Jessica D, Foroud, Tatiana, Goate, Alison, Gong, Jian, Grabe, Hans J, Haessler, Jeff, Haiman, Christopher, Hallmans, Göran, Hammerschlag, Anke R, Harris, Sarah E, Hattersley, Andrew, Heath, Andrew, Hsu, Chris, Iacono, William G, Kanoni, Stavroula, Kapoor, Manav, Kaprio, Jaakko, Kardia, Sharon L, Karpe, Fredrik, Kontto, Jukka, Kooner, Jaspal S, Kooperberg, Charles, Kuulasmaa, Kari, Laakso, Markku, Lai, Dongbing, Langenberg, Claudia, Le, Nhung, Lettre, Guillaume, Loukola, Anu, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, Marioni, Riccardo E, Marouli, Eirini, Marten, Jonathan, Martin, Nicholas G, McGue, Matt, Michailidou, Kyriaki, Mihailov, Evelin, Moayyeri, Alireza, Moitry, Marie, Müller-Nurasyid, Martina, Naheed, Aliya, Nauck, Matthias, Neville, Matthew J, Nielsen, Sune Fallgaard, North, Kari, Perola, Markus, Pharoah, Paul D P, Pistis, Giorgio, Polderman, Tinca J, Posthuma, Danielle, Poulter, Neil, Qaiser, Beenish, Rasheed, Asif, Reiner, Alex, Renstrom, Frida, Rice, John, Rohde, Rebecca, Rolandsson, Olov, Samani, Nilesh J, Samuel, Maria, Schlessinger, David, Scholte, Steven H, Scott, Robert A, Sever, Peter, Shao, Yaming, Shrine, Nick, Smith, Jennifer A, Starr, John M, Stirrups, Kathleen, Stram, Danielle, Stringham, Heather M, Tachmazidou, Ioanna, Tardif, Jean-Claude, Thompson, Deborah J, Tindle, Hilary A, Tragante, Vinicius, Trompet, Stella, Turcot, Valerie, Tyrrell, Jessica, Vaartjes, Ilonca, van der Leij, Andries R, van der Meer, Peter, Varga, Tibor V, Verweij, Niek, Völzke, Henry, Wareham, Nicholas J, Warren, Helen R, Weir, David R, Weiss, Stefan, Wetherill, Leah, Yaghootkar, Hanieh, Yavas, Ersin, Jiang, Yu, Chen, Fang, Zhan, Xiaowei, Zhang, Weihua, Zhao, Wei, Zhou, Kaixin, Amouyel, Philippe, Blankenberg, Stefan, Caulfield, Mark J, Chowdhury, Rajiv, Cucca, Francesco, Deary, Ian J, Deloukas, Panos, Di Angelantonio, Emanuele, Ferrario, Marco, Ferrières, Jean, Franks, Paul W, Frayling, Tim M, Frossard, Philippe, Hall, Ian P, Hayward, Caroline, Jansson, Jan-Håkan, Jukema, J Wouter, Kee, Frank, Männistö, Satu, Metspalu, Andres, Munroe, Patricia B, Nordestgaard, Børge Grønne, Palmer, Colin N A, Salomaa, Veikko, Sattar, Naveed, Spector, Timothy, Strachan, David Peter, van der Harst, Pim, Zeggini, Eleftheria, Saleheen, Danish, Butterworth, Adam S, Wain, Louise V, Abecasis, Goncalo R, Danesh, John, Tobin, Martin D, Vrieze, Scott, Liu, Dajiang J, and Howson, Joanna M M
Abstract: Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking behaviour-related traits. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). In a subset of 112,811 participants, a further one million SNVs were also genotyped and tested for association with the four smoking behaviour traits. SNV-trait associations with P < 5 × 10-8 in either analysis were taken forward for replication in up to 275,596 independent participants from UK Biobank. Lastly, a meta-analysis of the discovery and replication studies was performed. Sixteen SNVs were associated with at least one of the smoking behaviour traits (P < 5 × 10-8) in the discovery samples. Ten novel SNVs, including rs12616219 near TMEM182, were followed-up and five of them (rs462779 in REV3L, rs12780116 in CNNM2, rs1190736 in GPR101, rs11539157 in PJA1, and rs12616219 near TMEM182) replicated at a Bonferroni significance threshold (P < 4.5 × 10-3) with consistent direction of effect. A further 35 SNVs were associated with smoking behaviour traits in the discovery plus replication meta-analysis (up to 622,409 participants) including a rare SNV, rs150493199, in CCDC141 and two low-frequency SNVs in CEP350 and HDGFRP2. Functional follow-up implied that decreased expression of REV3L may lower the probability of smoking initiation. The novel loci will facilitate understanding the genetic aetiology of smoking behaviour and may lead to the identification of potential drug targets for smoking prevention and/or cessation.
Published: 2020
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19. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

Author: Erzurumluoglu, A. Mesut, Liu, Mengzhen, Jackson, Victoria E., Barnes, Daniel R., Datta, Gargi, Melbourne, Carl A., Young, Robin, Batini, Chiara, Surendran, Praveen, Jiang, Tao, Adnan, Sheikh Daud, Afaq, Saima, Agrawal, Arpana, Altmaier, Elisabeth, Antoniou, Antonis C., Asselbergs, Folkert W., Baumbach, Clemens, Bierut, Laura, Bertelsen, Sarah, Boehnke, Michael, Bots, Michiel L, Brazel, David M, Chambers, John C, Chang-Claude, Jenny, Chen, Chu, Corley, Janie, Chou, Yi-Ling, David, Sean P, de Boer, Rudolf A, de Leeuw, Christiaan A, Dennis, Joe G, Dominiczak, Anna F, Dunning, Alison M, Easton, Douglas F, Eaton, Charles, Elliott, Paul, Evangelou, Evangelos, Faul, Jessica D, Foroud, Tatiana, Goate, Alison, Gong, Jian, Grabe, Hans J, Haessler, Jeff, Haiman, Christopher, Hallmans, Göran, Hammerschlag, Anke R, Harris, Sarah E, Hattersley, Andrew, Heath, Andrew, Hsu, Chris, Iacono, William G, Kanoni, Stavroula, Kapoor, Manav, Kaprio, Jaakko, Kardia, Sharon L, Karpe, Fredrik, Kontto, Jukka, Kooner, Jaspal S, Kooperberg, Charles, Kuulasmaa, Kari, Laakso, Markku, Lai, Dongbing, Langenberg, Claudia, Le, Nhung, Lettre, Guillaume, Loukola, Anu, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, Marioni, Riccardo E, Marouli, Eirini, Marten, Jonathan, Martin, Nicholas G, McGue, Matt, Michailidou, Kyriaki, Mihailov, Evelin, Moayyeri, Alireza, Moitry, Marie, Müller-Nurasyid, Martina, Naheed, Aliya, Nauck, Matthias, Neville, Matthew J, Nielsen, Sune Fallgaard, North, Kari, Perola, Markus, Pharoah, Paul D P, Pistis, Giorgio, Polderman, Tinca J, Posthuma, Danielle, Poulter, Neil, Qaiser, Beenish, Rasheed, Asif, Reiner, Alex, Renstrom, Frida, Rice, John, Rohde, Rebecca, Rolandsson, Olov, Samani, Nilesh J, Samuel, Maria, Schlessinger, David, Scholte, Steven H, Scott, Robert A, Sever, Peter, Shao, Yaming, Shrine, Nick, Smith, Jennifer A, Starr, John M, Stirrups, Kathleen, Stram, Danielle, Stringham, Heather M, Tachmazidou, Ioanna, Tardif, Jean-Claude, Thompson, Deborah J, Tindle, Hilary A, Tragante, Vinicius, Trompet, Stella, Turcot, Valerie, Tyrrell, Jessica, Vaartjes, Ilonca, van der Leij, Andries R, van der Meer, Peter, Varga, Tibor V, Verweij, Niek, Völzke, Henry, Wareham, Nicholas J, Warren, Helen R, Weir, David R, Weiss, Stefan, Wetherill, Leah, Yaghootkar, Hanieh, Yavas, Ersin, Jiang, Yu, Chen, Fang, Zhan, Xiaowei, Zhang, Weihua, Zhao, Wei, Zhou, Kaixin, Amouyel, Philippe, Blankenberg, Stefan, Caulfield, Mark J, Chowdhury, Rajiv, Cucca, Francesco, Deary, Ian J, Deloukas, Panos, Di Angelantonio, Emanuele, Ferrario, Marco, Ferrières, Jean, Franks, Paul W, Frayling, Tim M, Frossard, Philippe, Hall, Ian P, Hayward, Caroline, Jansson, Jan-Håkan, Jukema, J Wouter, Kee, Frank, Männistö, Satu, Metspalu, Andres, Munroe, Patricia B, Nordestgaard, Børge Grønne, Palmer, Colin N A, Salomaa, Veikko, Sattar, Naveed, Spector, Timothy, Strachan, David Peter, van der Harst, Pim, Zeggini, Eleftheria, Saleheen, Danish, Butterworth, Adam S, Wain, Louise V, Abecasis, Goncalo R, Danesh, John, Tobin, Martin D, Vrieze, Scott, Liu, Dajiang J, Howson, Joanna M M, Erzurumluoglu, A. Mesut, Liu, Mengzhen, Jackson, Victoria E., Barnes, Daniel R., Datta, Gargi, Melbourne, Carl A., Young, Robin, Batini, Chiara, Surendran, Praveen, Jiang, Tao, Adnan, Sheikh Daud, Afaq, Saima, Agrawal, Arpana, Altmaier, Elisabeth, Antoniou, Antonis C., Asselbergs, Folkert W., Baumbach, Clemens, Bierut, Laura, Bertelsen, Sarah, Boehnke, Michael, Bots, Michiel L, Brazel, David M, Chambers, John C, Chang-Claude, Jenny, Chen, Chu, Corley, Janie, Chou, Yi-Ling, David, Sean P, de Boer, Rudolf A, de Leeuw, Christiaan A, Dennis, Joe G, Dominiczak, Anna F, Dunning, Alison M, Easton, Douglas F, Eaton, Charles, Elliott, Paul, Evangelou, Evangelos, Faul, Jessica D, Foroud, Tatiana, Goate, Alison, Gong, Jian, Grabe, Hans J, Haessler, Jeff, Haiman, Christopher, Hallmans, Göran, Hammerschlag, Anke R, Harris, Sarah E, Hattersley, Andrew, Heath, Andrew, Hsu, Chris, Iacono, William G, Kanoni, Stavroula, Kapoor, Manav, Kaprio, Jaakko, Kardia, Sharon L, Karpe, Fredrik, Kontto, Jukka, Kooner, Jaspal S, Kooperberg, Charles, Kuulasmaa, Kari, Laakso, Markku, Lai, Dongbing, Langenberg, Claudia, Le, Nhung, Lettre, Guillaume, Loukola, Anu, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, Marioni, Riccardo E, Marouli, Eirini, Marten, Jonathan, Martin, Nicholas G, McGue, Matt, Michailidou, Kyriaki, Mihailov, Evelin, Moayyeri, Alireza, Moitry, Marie, Müller-Nurasyid, Martina, Naheed, Aliya, Nauck, Matthias, Neville, Matthew J, Nielsen, Sune Fallgaard, North, Kari, Perola, Markus, Pharoah, Paul D P, Pistis, Giorgio, Polderman, Tinca J, Posthuma, Danielle, Poulter, Neil, Qaiser, Beenish, Rasheed, Asif, Reiner, Alex, Renstrom, Frida, Rice, John, Rohde, Rebecca, Rolandsson, Olov, Samani, Nilesh J, Samuel, Maria, Schlessinger, David, Scholte, Steven H, Scott, Robert A, Sever, Peter, Shao, Yaming, Shrine, Nick, Smith, Jennifer A, Starr, John M, Stirrups, Kathleen, Stram, Danielle, Stringham, Heather M, Tachmazidou, Ioanna, Tardif, Jean-Claude, Thompson, Deborah J, Tindle, Hilary A, Tragante, Vinicius, Trompet, Stella, Turcot, Valerie, Tyrrell, Jessica, Vaartjes, Ilonca, van der Leij, Andries R, van der Meer, Peter, Varga, Tibor V, Verweij, Niek, Völzke, Henry, Wareham, Nicholas J, Warren, Helen R, Weir, David R, Weiss, Stefan, Wetherill, Leah, Yaghootkar, Hanieh, Yavas, Ersin, Jiang, Yu, Chen, Fang, Zhan, Xiaowei, Zhang, Weihua, Zhao, Wei, Zhou, Kaixin, Amouyel, Philippe, Blankenberg, Stefan, Caulfield, Mark J, Chowdhury, Rajiv, Cucca, Francesco, Deary, Ian J, Deloukas, Panos, Di Angelantonio, Emanuele, Ferrario, Marco, Ferrières, Jean, Franks, Paul W, Frayling, Tim M, Frossard, Philippe, Hall, Ian P, Hayward, Caroline, Jansson, Jan-Håkan, Jukema, J Wouter, Kee, Frank, Männistö, Satu, Metspalu, Andres, Munroe, Patricia B, Nordestgaard, Børge Grønne, Palmer, Colin N A, Salomaa, Veikko, Sattar, Naveed, Spector, Timothy, Strachan, David Peter, van der Harst, Pim, Zeggini, Eleftheria, Saleheen, Danish, Butterworth, Adam S, Wain, Louise V, Abecasis, Goncalo R, Danesh, John, Tobin, Martin D, Vrieze, Scott, Liu, Dajiang J, and Howson, Joanna M M
Abstract: Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking behaviour-related traits. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). In a subset of 112,811 participants, a further one million SNVs were also genotyped and tested for association with the four smoking behaviour traits. SNV-trait associations with P < 5 × 10-8 in either analysis were taken forward for replication in up to 275,596 independent participants from UK Biobank. Lastly, a meta-analysis of the discovery and replication studies was performed. Sixteen SNVs were associated with at least one of the smoking behaviour traits (P < 5 × 10-8) in the discovery samples. Ten novel SNVs, including rs12616219 near TMEM182, were followed-up and five of them (rs462779 in REV3L, rs12780116 in CNNM2, rs1190736 in GPR101, rs11539157 in PJA1, and rs12616219 near TMEM182) replicated at a Bonferroni significance threshold (P < 4.5 × 10-3) with consistent direction of effect. A further 35 SNVs were associated with smoking behaviour traits in the discovery plus replication meta-analysis (up to 622,409 participants) including a rare SNV, rs150493199, in CCDC141 and two low-frequency SNVs in CEP350 and HDGFRP2. Functional follow-up implied that decreased expression of REV3L may lower the probability of smoking initiation. The novel loci will facilitate understanding the genetic aetiology of smoking behaviour and may lead to the identification of potential drug targets for smoking prevention and/or cessation.
Published: 2020
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20. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

Author: Webb, Thomas R., Erdmann, Jeanette, Stirrups, Kathleen E., Stitziel, Nathan O., Masca, Nicholas G. D., Jansen, Henning, Kanoni, Stavroula, Nelson, Christopher P., Ferrario, Paola G., Koenig, Inke R., Eicher, John D., Johnson, Andrew D., Hamby, Stephen E., Betsholtz, Christer, Ruusalepp, Arno, Franzen, Oscar, Schadt, Eric E., Bjoerkegren, Johan L. M., Weeke, Peter E., Auer, Paul L., Schick, Ursula M., Lu, Yingchang, Zhang, He, Dube, Marie-Pierre, Goel, Anuj, Farrall, Martin, Peloso, Gina M., Won, Hong-Hee, Do, Ron, van Iperen, Erik, Kruppa, Jochen, Mahajan, Anubha, Scott, Robert A., Willenborg, Christina, Braund, Peter S., van Capelleveen, Julian C., Doney, Alex S. F., Donnelly, Louise A., Asselta, Rosanna, Merlini, Pier A., Duga, Stefano, Marziliano, Nicola, Denny, Josh C., Shaffer, Christian, El-Mokhtari, Nour Eddine, Franke, Andre, Heilmann, Stefanie, Hengstenberg, Christian, Hoffmann, Per, Holmen, Oddgeir L., Hveem, Kristian, Jansson, Jan-Håkan, Joeckel, Karl-Heinz, Kessler, Thorsten, Kriebel, Jennifer, Laugwitz, Karl L., Marouli, Eirini, Martinelli, Nicola, McCarthy, Mark I., Van Zuydam, Natalie R., Meisinger, Christa, Esko, Tonu, Mihailov, Evelin, Escher, Stefan A., Alver, Maris, Moebus, Susanne, Morris, Andrew D., Virtamo, Jarma, Nikpay, Majid, Olivieri, Oliviero, Provost, Sylvie, AlQarawi, Alaa, Robertson, Neil R., Akinsansya, Karen O., Reilly, Dermot F., Vogt, Thomas F., Yin, Wu, Asselbergs, Folkert W., Kooperberg, Charles, Jackson, Rebecca D., Stahl, Eli, Mueller-Nurasyid, Martina, Strauch, Konstantin, Varga, Tibor V., Waldenberger, Melanie, Zeng, Lingyao, Chowdhury, Rajiv, Salomaa, Veikko, Ford, Ian, Jukema, J. Wouter, Amouyel, Philippe, Kontto, Jukka, Nordestgaard, Borge G., Ferrieres, Jean, Saleheen, Danish, Sattar, Naveed, Surendran, Praveen, Wagner, Aline, Young, Robin, Howson, Joanna M. M., Butterworth, Adam S., Danesh, John, Ardissino, Diego, Bottinger, Erwin P., Erbel, Raimund, Franks, Paul W., Girelli, Domenico, Hall, Alistair S., Hovingh, G. Kees, Kastrati, Adnan, Lieb, Wolfgang, Meitinger, Thomas, Kraus, William E., Shah, Svati H., McPherson, Ruth, Orho-Melander, Marju, Melander, Olle, Metspalu, Andres, Palmer, Colin N. A., Peters, Annette, Rader, Daniel J., Reilly, Muredach P., Loos, Ruth J. F., Reiner, Alex P., Roden, Dan M., Tardif, Jean-Claude, Thompson, John R., Wareham, Nicholas J., Watkins, Hugh, Willer, Cristen J., Samani, Nilesh J., Schunkert, Heribert, Deloukas, Panos, Kathiresan, Sekar, Webb, Thomas R., Erdmann, Jeanette, Stirrups, Kathleen E., Stitziel, Nathan O., Masca, Nicholas G. D., Jansen, Henning, Kanoni, Stavroula, Nelson, Christopher P., Ferrario, Paola G., Koenig, Inke R., Eicher, John D., Johnson, Andrew D., Hamby, Stephen E., Betsholtz, Christer, Ruusalepp, Arno, Franzen, Oscar, Schadt, Eric E., Bjoerkegren, Johan L. M., Weeke, Peter E., Auer, Paul L., Schick, Ursula M., Lu, Yingchang, Zhang, He, Dube, Marie-Pierre, Goel, Anuj, Farrall, Martin, Peloso, Gina M., Won, Hong-Hee, Do, Ron, van Iperen, Erik, Kruppa, Jochen, Mahajan, Anubha, Scott, Robert A., Willenborg, Christina, Braund, Peter S., van Capelleveen, Julian C., Doney, Alex S. F., Donnelly, Louise A., Asselta, Rosanna, Merlini, Pier A., Duga, Stefano, Marziliano, Nicola, Denny, Josh C., Shaffer, Christian, El-Mokhtari, Nour Eddine, Franke, Andre, Heilmann, Stefanie, Hengstenberg, Christian, Hoffmann, Per, Holmen, Oddgeir L., Hveem, Kristian, Jansson, Jan-Håkan, Joeckel, Karl-Heinz, Kessler, Thorsten, Kriebel, Jennifer, Laugwitz, Karl L., Marouli, Eirini, Martinelli, Nicola, McCarthy, Mark I., Van Zuydam, Natalie R., Meisinger, Christa, Esko, Tonu, Mihailov, Evelin, Escher, Stefan A., Alver, Maris, Moebus, Susanne, Morris, Andrew D., Virtamo, Jarma, Nikpay, Majid, Olivieri, Oliviero, Provost, Sylvie, AlQarawi, Alaa, Robertson, Neil R., Akinsansya, Karen O., Reilly, Dermot F., Vogt, Thomas F., Yin, Wu, Asselbergs, Folkert W., Kooperberg, Charles, Jackson, Rebecca D., Stahl, Eli, Mueller-Nurasyid, Martina, Strauch, Konstantin, Varga, Tibor V., Waldenberger, Melanie, Zeng, Lingyao, Chowdhury, Rajiv, Salomaa, Veikko, Ford, Ian, Jukema, J. Wouter, Amouyel, Philippe, Kontto, Jukka, Nordestgaard, Borge G., Ferrieres, Jean, Saleheen, Danish, Sattar, Naveed, Surendran, Praveen, Wagner, Aline, Young, Robin, Howson, Joanna M. M., Butterworth, Adam S., Danesh, John, Ardissino, Diego, Bottinger, Erwin P., Erbel, Raimund, Franks, Paul W., Girelli, Domenico, Hall, Alistair S., Hovingh, G. Kees, Kastrati, Adnan, Lieb, Wolfgang, Meitinger, Thomas, Kraus, William E., Shah, Svati H., McPherson, Ruth, Orho-Melander, Marju, Melander, Olle, Metspalu, Andres, Palmer, Colin N. A., Peters, Annette, Rader, Daniel J., Reilly, Muredach P., Loos, Ruth J. F., Reiner, Alex P., Roden, Dan M., Tardif, Jean-Claude, Thompson, John R., Wareham, Nicholas J., Watkins, Hugh, Willer, Cristen J., Samani, Nilesh J., Schunkert, Heribert, Deloukas, Panos, and Kathiresan, Sekar
Abstract: BACKGROUND Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits. OBJECTIVES This study sought to systematically test if genetic variants identified for non-CAD diseases/traits also associate with CAD and to undertake a comprehensive analysis of the extent of pleiotropy of all CAD loci. METHODS In discovery analyses involving 42,335 CAD cases and 78,240 control subjects we tested the association of 29,383 common (minor allele frequency >5%) single nucleotide polymorphisms available on the exome array, which included a substantial proportion of known or suspected single nucleotide polymorphisms associated with common diseases or traits as of 2011. Suggestive association signals were replicated in an additional 30,533 cases and 42,530 control subjects. To evaluate pleiotropy, we tested CAD loci for association with cardiovascular risk factors (lipid traits, blood pressure phenotypes, body mass index, diabetes, and smoking behavior), as well as with other diseases/traits through interrogation of currently available genome-wide association study catalogs. RESULTS We identified 6 new loci associated with CAD at genome-wide significance: on 2q37 (KCNJ13-GIGYF2), 6p21 (C2), 11p15 (MRVI1-CTR9), 12q13 (LRP1), 12q24 (SCARB1), and 16q13 (CETP). Risk allele frequencies ranged from 0.15 to 0.86, and odds ratio per copy of the risk allele ranged from 1.04 to 1.09. Of 62 new and known CAD loci, 24 (38.7%) showed statistical association with a traditional cardiovascular risk factor, with some showing multiple associations, and 29 (47%) showed associations at p < 1 x 10(-4) with a range of other diseases/traits. CONCLUSIONS We identified 6 loci associated with CAD at genome-wide significance. Several CAD loci show substantial pleiotropy, which may help us understand the mechanisms by which these loci affect CAD risk. (C)
Published: 2017
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21. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

Author: Webb, Thomas R., Erdmann, Jeanette, Stirrups, Kathleen E., Stitziel, Nathan O., Masca, Nicholas G. D., Jansen, Henning, Kanoni, Stavroula, Nelson, Christopher P., Ferrario, Paola G., Koenig, Inke R., Eicher, John D., Johnson, Andrew D., Hamby, Stephen E., Betsholtz, Christer, Ruusalepp, Arno, Franzen, Oscar, Schadt, Eric E., Bjoerkegren, Johan L. M., Weeke, Peter E., Auer, Paul L., Schick, Ursula M., Lu, Yingchang, Zhang, He, Dube, Marie-Pierre, Goel, Anuj, Farrall, Martin, Peloso, Gina M., Won, Hong-Hee, Do, Ron, van Iperen, Erik, Kruppa, Jochen, Mahajan, Anubha, Scott, Robert A., Willenborg, Christina, Braund, Peter S., van Capelleveen, Julian C., Doney, Alex S. F., Donnelly, Louise A., Asselta, Rosanna, Merlini, Pier A., Duga, Stefano, Marziliano, Nicola, Denny, Josh C., Shaffer, Christian, El-Mokhtari, Nour Eddine, Franke, Andre, Heilmann, Stefanie, Hengstenberg, Christian, Hoffmann, Per, Holmen, Oddgeir L., Hveem, Kristian, Jansson, Jan-Håkan, Joeckel, Karl-Heinz, Kessler, Thorsten, Kriebel, Jennifer, Laugwitz, Karl L., Marouli, Eirini, Martinelli, Nicola, McCarthy, Mark I., Van Zuydam, Natalie R., Meisinger, Christa, Esko, Tonu, Mihailov, Evelin, Escher, Stefan A., Alver, Maris, Moebus, Susanne, Morris, Andrew D., Virtamo, Jarma, Nikpay, Majid, Olivieri, Oliviero, Provost, Sylvie, AlQarawi, Alaa, Robertson, Neil R., Akinsansya, Karen O., Reilly, Dermot F., Vogt, Thomas F., Yin, Wu, Asselbergs, Folkert W., Kooperberg, Charles, Jackson, Rebecca D., Stahl, Eli, Mueller-Nurasyid, Martina, Strauch, Konstantin, Varga, Tibor V., Waldenberger, Melanie, Zeng, Lingyao, Chowdhury, Rajiv, Salomaa, Veikko, Ford, Ian, Jukema, J. Wouter, Amouyel, Philippe, Kontto, Jukka, Nordestgaard, Borge G., Ferrieres, Jean, Saleheen, Danish, Sattar, Naveed, Surendran, Praveen, Wagner, Aline, Young, Robin, Howson, Joanna M. M., Butterworth, Adam S., Danesh, John, Ardissino, Diego, Bottinger, Erwin P., Erbel, Raimund, Franks, Paul W., Girelli, Domenico, Hall, Alistair S., Hovingh, G. Kees, Kastrati, Adnan, Lieb, Wolfgang, Meitinger, Thomas, Kraus, William E., Shah, Svati H., McPherson, Ruth, Orho-Melander, Marju, Melander, Olle, Metspalu, Andres, Palmer, Colin N. A., Peters, Annette, Rader, Daniel J., Reilly, Muredach P., Loos, Ruth J. F., Reiner, Alex P., Roden, Dan M., Tardif, Jean-Claude, Thompson, John R., Wareham, Nicholas J., Watkins, Hugh, Willer, Cristen J., Samani, Nilesh J., Schunkert, Heribert, Deloukas, Panos, Kathiresan, Sekar, Webb, Thomas R., Erdmann, Jeanette, Stirrups, Kathleen E., Stitziel, Nathan O., Masca, Nicholas G. D., Jansen, Henning, Kanoni, Stavroula, Nelson, Christopher P., Ferrario, Paola G., Koenig, Inke R., Eicher, John D., Johnson, Andrew D., Hamby, Stephen E., Betsholtz, Christer, Ruusalepp, Arno, Franzen, Oscar, Schadt, Eric E., Bjoerkegren, Johan L. M., Weeke, Peter E., Auer, Paul L., Schick, Ursula M., Lu, Yingchang, Zhang, He, Dube, Marie-Pierre, Goel, Anuj, Farrall, Martin, Peloso, Gina M., Won, Hong-Hee, Do, Ron, van Iperen, Erik, Kruppa, Jochen, Mahajan, Anubha, Scott, Robert A., Willenborg, Christina, Braund, Peter S., van Capelleveen, Julian C., Doney, Alex S. F., Donnelly, Louise A., Asselta, Rosanna, Merlini, Pier A., Duga, Stefano, Marziliano, Nicola, Denny, Josh C., Shaffer, Christian, El-Mokhtari, Nour Eddine, Franke, Andre, Heilmann, Stefanie, Hengstenberg, Christian, Hoffmann, Per, Holmen, Oddgeir L., Hveem, Kristian, Jansson, Jan-Håkan, Joeckel, Karl-Heinz, Kessler, Thorsten, Kriebel, Jennifer, Laugwitz, Karl L., Marouli, Eirini, Martinelli, Nicola, McCarthy, Mark I., Van Zuydam, Natalie R., Meisinger, Christa, Esko, Tonu, Mihailov, Evelin, Escher, Stefan A., Alver, Maris, Moebus, Susanne, Morris, Andrew D., Virtamo, Jarma, Nikpay, Majid, Olivieri, Oliviero, Provost, Sylvie, AlQarawi, Alaa, Robertson, Neil R., Akinsansya, Karen O., Reilly, Dermot F., Vogt, Thomas F., Yin, Wu, Asselbergs, Folkert W., Kooperberg, Charles, Jackson, Rebecca D., Stahl, Eli, Mueller-Nurasyid, Martina, Strauch, Konstantin, Varga, Tibor V., Waldenberger, Melanie, Zeng, Lingyao, Chowdhury, Rajiv, Salomaa, Veikko, Ford, Ian, Jukema, J. Wouter, Amouyel, Philippe, Kontto, Jukka, Nordestgaard, Borge G., Ferrieres, Jean, Saleheen, Danish, Sattar, Naveed, Surendran, Praveen, Wagner, Aline, Young, Robin, Howson, Joanna M. M., Butterworth, Adam S., Danesh, John, Ardissino, Diego, Bottinger, Erwin P., Erbel, Raimund, Franks, Paul W., Girelli, Domenico, Hall, Alistair S., Hovingh, G. Kees, Kastrati, Adnan, Lieb, Wolfgang, Meitinger, Thomas, Kraus, William E., Shah, Svati H., McPherson, Ruth, Orho-Melander, Marju, Melander, Olle, Metspalu, Andres, Palmer, Colin N. A., Peters, Annette, Rader, Daniel J., Reilly, Muredach P., Loos, Ruth J. F., Reiner, Alex P., Roden, Dan M., Tardif, Jean-Claude, Thompson, John R., Wareham, Nicholas J., Watkins, Hugh, Willer, Cristen J., Samani, Nilesh J., Schunkert, Heribert, Deloukas, Panos, and Kathiresan, Sekar
Abstract: BACKGROUND Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits. OBJECTIVES This study sought to systematically test if genetic variants identified for non-CAD diseases/traits also associate with CAD and to undertake a comprehensive analysis of the extent of pleiotropy of all CAD loci. METHODS In discovery analyses involving 42,335 CAD cases and 78,240 control subjects we tested the association of 29,383 common (minor allele frequency >5%) single nucleotide polymorphisms available on the exome array, which included a substantial proportion of known or suspected single nucleotide polymorphisms associated with common diseases or traits as of 2011. Suggestive association signals were replicated in an additional 30,533 cases and 42,530 control subjects. To evaluate pleiotropy, we tested CAD loci for association with cardiovascular risk factors (lipid traits, blood pressure phenotypes, body mass index, diabetes, and smoking behavior), as well as with other diseases/traits through interrogation of currently available genome-wide association study catalogs. RESULTS We identified 6 new loci associated with CAD at genome-wide significance: on 2q37 (KCNJ13-GIGYF2), 6p21 (C2), 11p15 (MRVI1-CTR9), 12q13 (LRP1), 12q24 (SCARB1), and 16q13 (CETP). Risk allele frequencies ranged from 0.15 to 0.86, and odds ratio per copy of the risk allele ranged from 1.04 to 1.09. Of 62 new and known CAD loci, 24 (38.7%) showed statistical association with a traditional cardiovascular risk factor, with some showing multiple associations, and 29 (47%) showed associations at p < 1 x 10(-4) with a range of other diseases/traits. CONCLUSIONS We identified 6 loci associated with CAD at genome-wide significance. Several CAD loci show substantial pleiotropy, which may help us understand the mechanisms by which these loci affect CAD risk. (C)
Published: 2017
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22. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

Author: Webb, Thomas R., Erdmann, Jeanette, Stirrups, Kathleen E., Stitziel, Nathan O., Masca, Nicholas G. D., Jansen, Henning, Kanoni, Stavroula, Nelson, Christopher P., Ferrario, Paola G., Koenig, Inke R., Eicher, John D., Johnson, Andrew D., Hamby, Stephen E., Betsholtz, Christer, Ruusalepp, Arno, Franzen, Oscar, Schadt, Eric E., Bjoerkegren, Johan L. M., Weeke, Peter E., Auer, Paul L., Schick, Ursula M., Lu, Yingchang, Zhang, He, Dube, Marie-Pierre, Goel, Anuj, Farrall, Martin, Peloso, Gina M., Won, Hong-Hee, Do, Ron, van Iperen, Erik, Kruppa, Jochen, Mahajan, Anubha, Scott, Robert A., Willenborg, Christina, Braund, Peter S., van Capelleveen, Julian C., Doney, Alex S. F., Donnelly, Louise A., Asselta, Rosanna, Merlini, Pier A., Duga, Stefano, Marziliano, Nicola, Denny, Josh C., Shaffer, Christian, El-Mokhtari, Nour Eddine, Franke, Andre, Heilmann, Stefanie, Hengstenberg, Christian, Hoffmann, Per, Holmen, Oddgeir L., Hveem, Kristian, Jansson, Jan-Håkan, Joeckel, Karl-Heinz, Kessler, Thorsten, Kriebel, Jennifer, Laugwitz, Karl L., Marouli, Eirini, Martinelli, Nicola, McCarthy, Mark I., Van Zuydam, Natalie R., Meisinger, Christa, Esko, Tonu, Mihailov, Evelin, Escher, Stefan A., Alver, Maris, Moebus, Susanne, Morris, Andrew D., Virtamo, Jarma, Nikpay, Majid, Olivieri, Oliviero, Provost, Sylvie, AlQarawi, Alaa, Robertson, Neil R., Akinsansya, Karen O., Reilly, Dermot F., Vogt, Thomas F., Yin, Wu, Asselbergs, Folkert W., Kooperberg, Charles, Jackson, Rebecca D., Stahl, Eli, Mueller-Nurasyid, Martina, Strauch, Konstantin, Varga, Tibor V., Waldenberger, Melanie, Zeng, Lingyao, Chowdhury, Rajiv, Salomaa, Veikko, Ford, Ian, Jukema, J. Wouter, Amouyel, Philippe, Kontto, Jukka, Nordestgaard, Borge G., Ferrieres, Jean, Saleheen, Danish, Sattar, Naveed, Surendran, Praveen, Wagner, Aline, Young, Robin, Howson, Joanna M. M., Butterworth, Adam S., Danesh, John, Ardissino, Diego, Bottinger, Erwin P., Erbel, Raimund, Franks, Paul W., Girelli, Domenico, Hall, Alistair S., Hovingh, G. Kees, Kastrati, Adnan, Lieb, Wolfgang, Meitinger, Thomas, Kraus, William E., Shah, Svati H., McPherson, Ruth, Orho-Melander, Marju, Melander, Olle, Metspalu, Andres, Palmer, Colin N. A., Peters, Annette, Rader, Daniel J., Reilly, Muredach P., Loos, Ruth J. F., Reiner, Alex P., Roden, Dan M., Tardif, Jean-Claude, Thompson, John R., Wareham, Nicholas J., Watkins, Hugh, Willer, Cristen J., Samani, Nilesh J., Schunkert, Heribert, Deloukas, Panos, Kathiresan, Sekar, Webb, Thomas R., Erdmann, Jeanette, Stirrups, Kathleen E., Stitziel, Nathan O., Masca, Nicholas G. D., Jansen, Henning, Kanoni, Stavroula, Nelson, Christopher P., Ferrario, Paola G., Koenig, Inke R., Eicher, John D., Johnson, Andrew D., Hamby, Stephen E., Betsholtz, Christer, Ruusalepp, Arno, Franzen, Oscar, Schadt, Eric E., Bjoerkegren, Johan L. M., Weeke, Peter E., Auer, Paul L., Schick, Ursula M., Lu, Yingchang, Zhang, He, Dube, Marie-Pierre, Goel, Anuj, Farrall, Martin, Peloso, Gina M., Won, Hong-Hee, Do, Ron, van Iperen, Erik, Kruppa, Jochen, Mahajan, Anubha, Scott, Robert A., Willenborg, Christina, Braund, Peter S., van Capelleveen, Julian C., Doney, Alex S. F., Donnelly, Louise A., Asselta, Rosanna, Merlini, Pier A., Duga, Stefano, Marziliano, Nicola, Denny, Josh C., Shaffer, Christian, El-Mokhtari, Nour Eddine, Franke, Andre, Heilmann, Stefanie, Hengstenberg, Christian, Hoffmann, Per, Holmen, Oddgeir L., Hveem, Kristian, Jansson, Jan-Håkan, Joeckel, Karl-Heinz, Kessler, Thorsten, Kriebel, Jennifer, Laugwitz, Karl L., Marouli, Eirini, Martinelli, Nicola, McCarthy, Mark I., Van Zuydam, Natalie R., Meisinger, Christa, Esko, Tonu, Mihailov, Evelin, Escher, Stefan A., Alver, Maris, Moebus, Susanne, Morris, Andrew D., Virtamo, Jarma, Nikpay, Majid, Olivieri, Oliviero, Provost, Sylvie, AlQarawi, Alaa, Robertson, Neil R., Akinsansya, Karen O., Reilly, Dermot F., Vogt, Thomas F., Yin, Wu, Asselbergs, Folkert W., Kooperberg, Charles, Jackson, Rebecca D., Stahl, Eli, Mueller-Nurasyid, Martina, Strauch, Konstantin, Varga, Tibor V., Waldenberger, Melanie, Zeng, Lingyao, Chowdhury, Rajiv, Salomaa, Veikko, Ford, Ian, Jukema, J. Wouter, Amouyel, Philippe, Kontto, Jukka, Nordestgaard, Borge G., Ferrieres, Jean, Saleheen, Danish, Sattar, Naveed, Surendran, Praveen, Wagner, Aline, Young, Robin, Howson, Joanna M. M., Butterworth, Adam S., Danesh, John, Ardissino, Diego, Bottinger, Erwin P., Erbel, Raimund, Franks, Paul W., Girelli, Domenico, Hall, Alistair S., Hovingh, G. Kees, Kastrati, Adnan, Lieb, Wolfgang, Meitinger, Thomas, Kraus, William E., Shah, Svati H., McPherson, Ruth, Orho-Melander, Marju, Melander, Olle, Metspalu, Andres, Palmer, Colin N. A., Peters, Annette, Rader, Daniel J., Reilly, Muredach P., Loos, Ruth J. F., Reiner, Alex P., Roden, Dan M., Tardif, Jean-Claude, Thompson, John R., Wareham, Nicholas J., Watkins, Hugh, Willer, Cristen J., Samani, Nilesh J., Schunkert, Heribert, Deloukas, Panos, and Kathiresan, Sekar
Abstract: BACKGROUND Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits. OBJECTIVES This study sought to systematically test if genetic variants identified for non-CAD diseases/traits also associate with CAD and to undertake a comprehensive analysis of the extent of pleiotropy of all CAD loci. METHODS In discovery analyses involving 42,335 CAD cases and 78,240 control subjects we tested the association of 29,383 common (minor allele frequency >5%) single nucleotide polymorphisms available on the exome array, which included a substantial proportion of known or suspected single nucleotide polymorphisms associated with common diseases or traits as of 2011. Suggestive association signals were replicated in an additional 30,533 cases and 42,530 control subjects. To evaluate pleiotropy, we tested CAD loci for association with cardiovascular risk factors (lipid traits, blood pressure phenotypes, body mass index, diabetes, and smoking behavior), as well as with other diseases/traits through interrogation of currently available genome-wide association study catalogs. RESULTS We identified 6 new loci associated with CAD at genome-wide significance: on 2q37 (KCNJ13-GIGYF2), 6p21 (C2), 11p15 (MRVI1-CTR9), 12q13 (LRP1), 12q24 (SCARB1), and 16q13 (CETP). Risk allele frequencies ranged from 0.15 to 0.86, and odds ratio per copy of the risk allele ranged from 1.04 to 1.09. Of 62 new and known CAD loci, 24 (38.7%) showed statistical association with a traditional cardiovascular risk factor, with some showing multiple associations, and 29 (47%) showed associations at p < 1 x 10(-4) with a range of other diseases/traits. CONCLUSIONS We identified 6 loci associated with CAD at genome-wide significance. Several CAD loci show substantial pleiotropy, which may help us understand the mechanisms by which these loci affect CAD risk. (C)
Published: 2017
Full Text: View/download PDF

23. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

Author: Webb, Thomas R., Erdmann, Jeanette, Stirrups, Kathleen E., Stitziel, Nathan O., Masca, Nicholas G. D., Jansen, Henning, Kanoni, Stavroula, Nelson, Christopher P., Ferrario, Paola G., Koenig, Inke R., Eicher, John D., Johnson, Andrew D., Hamby, Stephen E., Betsholtz, Christer, Ruusalepp, Arno, Franzen, Oscar, Schadt, Eric E., Bjoerkegren, Johan L. M., Weeke, Peter E., Auer, Paul L., Schick, Ursula M., Lu, Yingchang, Zhang, He, Dube, Marie-Pierre, Goel, Anuj, Farrall, Martin, Peloso, Gina M., Won, Hong-Hee, Do, Ron, van Iperen, Erik, Kruppa, Jochen, Mahajan, Anubha, Scott, Robert A., Willenborg, Christina, Braund, Peter S., van Capelleveen, Julian C., Doney, Alex S. F., Donnelly, Louise A., Asselta, Rosanna, Merlini, Pier A., Duga, Stefano, Marziliano, Nicola, Denny, Josh C., Shaffer, Christian, El-Mokhtari, Nour Eddine, Franke, Andre, Heilmann, Stefanie, Hengstenberg, Christian, Hoffmann, Per, Holmen, Oddgeir L., Hveem, Kristian, Jansson, Jan-Håkan, Joeckel, Karl-Heinz, Kessler, Thorsten, Kriebel, Jennifer, Laugwitz, Karl L., Marouli, Eirini, Martinelli, Nicola, McCarthy, Mark I., Van Zuydam, Natalie R., Meisinger, Christa, Esko, Tonu, Mihailov, Evelin, Escher, Stefan A., Alver, Maris, Moebus, Susanne, Morris, Andrew D., Virtamo, Jarma, Nikpay, Majid, Olivieri, Oliviero, Provost, Sylvie, AlQarawi, Alaa, Robertson, Neil R., Akinsansya, Karen O., Reilly, Dermot F., Vogt, Thomas F., Yin, Wu, Asselbergs, Folkert W., Kooperberg, Charles, Jackson, Rebecca D., Stahl, Eli, Mueller-Nurasyid, Martina, Strauch, Konstantin, Varga, Tibor V., Waldenberger, Melanie, Zeng, Lingyao, Chowdhury, Rajiv, Salomaa, Veikko, Ford, Ian, Jukema, J. Wouter, Amouyel, Philippe, Kontto, Jukka, Nordestgaard, Borge G., Ferrieres, Jean, Saleheen, Danish, Sattar, Naveed, Surendran, Praveen, Wagner, Aline, Young, Robin, Howson, Joanna M. M., Butterworth, Adam S., Danesh, John, Ardissino, Diego, Bottinger, Erwin P., Erbel, Raimund, Franks, Paul W., Girelli, Domenico, Hall, Alistair S., Hovingh, G. Kees, Kastrati, Adnan, Lieb, Wolfgang, Meitinger, Thomas, Kraus, William E., Shah, Svati H., McPherson, Ruth, Orho-Melander, Marju, Melander, Olle, Metspalu, Andres, Palmer, Colin N. A., Peters, Annette, Rader, Daniel J., Reilly, Muredach P., Loos, Ruth J. F., Reiner, Alex P., Roden, Dan M., Tardif, Jean-Claude, Thompson, John R., Wareham, Nicholas J., Watkins, Hugh, Willer, Cristen J., Samani, Nilesh J., Schunkert, Heribert, Deloukas, Panos, Kathiresan, Sekar, Webb, Thomas R., Erdmann, Jeanette, Stirrups, Kathleen E., Stitziel, Nathan O., Masca, Nicholas G. D., Jansen, Henning, Kanoni, Stavroula, Nelson, Christopher P., Ferrario, Paola G., Koenig, Inke R., Eicher, John D., Johnson, Andrew D., Hamby, Stephen E., Betsholtz, Christer, Ruusalepp, Arno, Franzen, Oscar, Schadt, Eric E., Bjoerkegren, Johan L. M., Weeke, Peter E., Auer, Paul L., Schick, Ursula M., Lu, Yingchang, Zhang, He, Dube, Marie-Pierre, Goel, Anuj, Farrall, Martin, Peloso, Gina M., Won, Hong-Hee, Do, Ron, van Iperen, Erik, Kruppa, Jochen, Mahajan, Anubha, Scott, Robert A., Willenborg, Christina, Braund, Peter S., van Capelleveen, Julian C., Doney, Alex S. F., Donnelly, Louise A., Asselta, Rosanna, Merlini, Pier A., Duga, Stefano, Marziliano, Nicola, Denny, Josh C., Shaffer, Christian, El-Mokhtari, Nour Eddine, Franke, Andre, Heilmann, Stefanie, Hengstenberg, Christian, Hoffmann, Per, Holmen, Oddgeir L., Hveem, Kristian, Jansson, Jan-Håkan, Joeckel, Karl-Heinz, Kessler, Thorsten, Kriebel, Jennifer, Laugwitz, Karl L., Marouli, Eirini, Martinelli, Nicola, McCarthy, Mark I., Van Zuydam, Natalie R., Meisinger, Christa, Esko, Tonu, Mihailov, Evelin, Escher, Stefan A., Alver, Maris, Moebus, Susanne, Morris, Andrew D., Virtamo, Jarma, Nikpay, Majid, Olivieri, Oliviero, Provost, Sylvie, AlQarawi, Alaa, Robertson, Neil R., Akinsansya, Karen O., Reilly, Dermot F., Vogt, Thomas F., Yin, Wu, Asselbergs, Folkert W., Kooperberg, Charles, Jackson, Rebecca D., Stahl, Eli, Mueller-Nurasyid, Martina, Strauch, Konstantin, Varga, Tibor V., Waldenberger, Melanie, Zeng, Lingyao, Chowdhury, Rajiv, Salomaa, Veikko, Ford, Ian, Jukema, J. Wouter, Amouyel, Philippe, Kontto, Jukka, Nordestgaard, Borge G., Ferrieres, Jean, Saleheen, Danish, Sattar, Naveed, Surendran, Praveen, Wagner, Aline, Young, Robin, Howson, Joanna M. M., Butterworth, Adam S., Danesh, John, Ardissino, Diego, Bottinger, Erwin P., Erbel, Raimund, Franks, Paul W., Girelli, Domenico, Hall, Alistair S., Hovingh, G. Kees, Kastrati, Adnan, Lieb, Wolfgang, Meitinger, Thomas, Kraus, William E., Shah, Svati H., McPherson, Ruth, Orho-Melander, Marju, Melander, Olle, Metspalu, Andres, Palmer, Colin N. A., Peters, Annette, Rader, Daniel J., Reilly, Muredach P., Loos, Ruth J. F., Reiner, Alex P., Roden, Dan M., Tardif, Jean-Claude, Thompson, John R., Wareham, Nicholas J., Watkins, Hugh, Willer, Cristen J., Samani, Nilesh J., Schunkert, Heribert, Deloukas, Panos, and Kathiresan, Sekar
Abstract: BACKGROUND Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits. OBJECTIVES This study sought to systematically test if genetic variants identified for non-CAD diseases/traits also associate with CAD and to undertake a comprehensive analysis of the extent of pleiotropy of all CAD loci. METHODS In discovery analyses involving 42,335 CAD cases and 78,240 control subjects we tested the association of 29,383 common (minor allele frequency >5%) single nucleotide polymorphisms available on the exome array, which included a substantial proportion of known or suspected single nucleotide polymorphisms associated with common diseases or traits as of 2011. Suggestive association signals were replicated in an additional 30,533 cases and 42,530 control subjects. To evaluate pleiotropy, we tested CAD loci for association with cardiovascular risk factors (lipid traits, blood pressure phenotypes, body mass index, diabetes, and smoking behavior), as well as with other diseases/traits through interrogation of currently available genome-wide association study catalogs. RESULTS We identified 6 new loci associated with CAD at genome-wide significance: on 2q37 (KCNJ13-GIGYF2), 6p21 (C2), 11p15 (MRVI1-CTR9), 12q13 (LRP1), 12q24 (SCARB1), and 16q13 (CETP). Risk allele frequencies ranged from 0.15 to 0.86, and odds ratio per copy of the risk allele ranged from 1.04 to 1.09. Of 62 new and known CAD loci, 24 (38.7%) showed statistical association with a traditional cardiovascular risk factor, with some showing multiple associations, and 29 (47%) showed associations at p < 1 x 10(-4) with a range of other diseases/traits. CONCLUSIONS We identified 6 loci associated with CAD at genome-wide significance. Several CAD loci show substantial pleiotropy, which may help us understand the mechanisms by which these loci affect CAD risk. (C)
Published: 2017
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24. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

Author: Webb, Thomas R., Erdmann, Jeanette, Stirrups, Kathleen E., Stitziel, Nathan O., Masca, Nicholas G. D., Jansen, Henning, Kanoni, Stavroula, Nelson, Christopher P., Ferrario, Paola G., Koenig, Inke R., Eicher, John D., Johnson, Andrew D., Hamby, Stephen E., Betsholtz, Christer, Ruusalepp, Arno, Franzen, Oscar, Schadt, Eric E., Bjoerkegren, Johan L. M., Weeke, Peter E., Auer, Paul L., Schick, Ursula M., Lu, Yingchang, Zhang, He, Dube, Marie-Pierre, Goel, Anuj, Farrall, Martin, Peloso, Gina M., Won, Hong-Hee, Do, Ron, van Iperen, Erik, Kruppa, Jochen, Mahajan, Anubha, Scott, Robert A., Willenborg, Christina, Braund, Peter S., van Capelleveen, Julian C., Doney, Alex S. F., Donnelly, Louise A., Asselta, Rosanna, Merlini, Pier A., Duga, Stefano, Marziliano, Nicola, Denny, Josh C., Shaffer, Christian, El-Mokhtari, Nour Eddine, Franke, Andre, Heilmann, Stefanie, Hengstenberg, Christian, Hoffmann, Per, Holmen, Oddgeir L., Hveem, Kristian, Jansson, Jan-Håkan, Joeckel, Karl-Heinz, Kessler, Thorsten, Kriebel, Jennifer, Laugwitz, Karl L., Marouli, Eirini, Martinelli, Nicola, McCarthy, Mark I., Van Zuydam, Natalie R., Meisinger, Christa, Esko, Tonu, Mihailov, Evelin, Escher, Stefan A., Alver, Maris, Moebus, Susanne, Morris, Andrew D., Virtamo, Jarma, Nikpay, Majid, Olivieri, Oliviero, Provost, Sylvie, AlQarawi, Alaa, Robertson, Neil R., Akinsansya, Karen O., Reilly, Dermot F., Vogt, Thomas F., Yin, Wu, Asselbergs, Folkert W., Kooperberg, Charles, Jackson, Rebecca D., Stahl, Eli, Mueller-Nurasyid, Martina, Strauch, Konstantin, Varga, Tibor V., Waldenberger, Melanie, Zeng, Lingyao, Chowdhury, Rajiv, Salomaa, Veikko, Ford, Ian, Jukema, J. Wouter, Amouyel, Philippe, Kontto, Jukka, Nordestgaard, Borge G., Ferrieres, Jean, Saleheen, Danish, Sattar, Naveed, Surendran, Praveen, Wagner, Aline, Young, Robin, Howson, Joanna M. M., Butterworth, Adam S., Danesh, John, Ardissino, Diego, Bottinger, Erwin P., Erbel, Raimund, Franks, Paul W., Girelli, Domenico, Hall, Alistair S., Hovingh, G. Kees, Kastrati, Adnan, Lieb, Wolfgang, Meitinger, Thomas, Kraus, William E., Shah, Svati H., McPherson, Ruth, Orho-Melander, Marju, Melander, Olle, Metspalu, Andres, Palmer, Colin N. A., Peters, Annette, Rader, Daniel J., Reilly, Muredach P., Loos, Ruth J. F., Reiner, Alex P., Roden, Dan M., Tardif, Jean-Claude, Thompson, John R., Wareham, Nicholas J., Watkins, Hugh, Willer, Cristen J., Samani, Nilesh J., Schunkert, Heribert, Deloukas, Panos, Kathiresan, Sekar, Webb, Thomas R., Erdmann, Jeanette, Stirrups, Kathleen E., Stitziel, Nathan O., Masca, Nicholas G. D., Jansen, Henning, Kanoni, Stavroula, Nelson, Christopher P., Ferrario, Paola G., Koenig, Inke R., Eicher, John D., Johnson, Andrew D., Hamby, Stephen E., Betsholtz, Christer, Ruusalepp, Arno, Franzen, Oscar, Schadt, Eric E., Bjoerkegren, Johan L. M., Weeke, Peter E., Auer, Paul L., Schick, Ursula M., Lu, Yingchang, Zhang, He, Dube, Marie-Pierre, Goel, Anuj, Farrall, Martin, Peloso, Gina M., Won, Hong-Hee, Do, Ron, van Iperen, Erik, Kruppa, Jochen, Mahajan, Anubha, Scott, Robert A., Willenborg, Christina, Braund, Peter S., van Capelleveen, Julian C., Doney, Alex S. F., Donnelly, Louise A., Asselta, Rosanna, Merlini, Pier A., Duga, Stefano, Marziliano, Nicola, Denny, Josh C., Shaffer, Christian, El-Mokhtari, Nour Eddine, Franke, Andre, Heilmann, Stefanie, Hengstenberg, Christian, Hoffmann, Per, Holmen, Oddgeir L., Hveem, Kristian, Jansson, Jan-Håkan, Joeckel, Karl-Heinz, Kessler, Thorsten, Kriebel, Jennifer, Laugwitz, Karl L., Marouli, Eirini, Martinelli, Nicola, McCarthy, Mark I., Van Zuydam, Natalie R., Meisinger, Christa, Esko, Tonu, Mihailov, Evelin, Escher, Stefan A., Alver, Maris, Moebus, Susanne, Morris, Andrew D., Virtamo, Jarma, Nikpay, Majid, Olivieri, Oliviero, Provost, Sylvie, AlQarawi, Alaa, Robertson, Neil R., Akinsansya, Karen O., Reilly, Dermot F., Vogt, Thomas F., Yin, Wu, Asselbergs, Folkert W., Kooperberg, Charles, Jackson, Rebecca D., Stahl, Eli, Mueller-Nurasyid, Martina, Strauch, Konstantin, Varga, Tibor V., Waldenberger, Melanie, Zeng, Lingyao, Chowdhury, Rajiv, Salomaa, Veikko, Ford, Ian, Jukema, J. Wouter, Amouyel, Philippe, Kontto, Jukka, Nordestgaard, Borge G., Ferrieres, Jean, Saleheen, Danish, Sattar, Naveed, Surendran, Praveen, Wagner, Aline, Young, Robin, Howson, Joanna M. M., Butterworth, Adam S., Danesh, John, Ardissino, Diego, Bottinger, Erwin P., Erbel, Raimund, Franks, Paul W., Girelli, Domenico, Hall, Alistair S., Hovingh, G. Kees, Kastrati, Adnan, Lieb, Wolfgang, Meitinger, Thomas, Kraus, William E., Shah, Svati H., McPherson, Ruth, Orho-Melander, Marju, Melander, Olle, Metspalu, Andres, Palmer, Colin N. A., Peters, Annette, Rader, Daniel J., Reilly, Muredach P., Loos, Ruth J. F., Reiner, Alex P., Roden, Dan M., Tardif, Jean-Claude, Thompson, John R., Wareham, Nicholas J., Watkins, Hugh, Willer, Cristen J., Samani, Nilesh J., Schunkert, Heribert, Deloukas, Panos, and Kathiresan, Sekar
Abstract: BACKGROUND Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits. OBJECTIVES This study sought to systematically test if genetic variants identified for non-CAD diseases/traits also associate with CAD and to undertake a comprehensive analysis of the extent of pleiotropy of all CAD loci. METHODS In discovery analyses involving 42,335 CAD cases and 78,240 control subjects we tested the association of 29,383 common (minor allele frequency >5%) single nucleotide polymorphisms available on the exome array, which included a substantial proportion of known or suspected single nucleotide polymorphisms associated with common diseases or traits as of 2011. Suggestive association signals were replicated in an additional 30,533 cases and 42,530 control subjects. To evaluate pleiotropy, we tested CAD loci for association with cardiovascular risk factors (lipid traits, blood pressure phenotypes, body mass index, diabetes, and smoking behavior), as well as with other diseases/traits through interrogation of currently available genome-wide association study catalogs. RESULTS We identified 6 new loci associated with CAD at genome-wide significance: on 2q37 (KCNJ13-GIGYF2), 6p21 (C2), 11p15 (MRVI1-CTR9), 12q13 (LRP1), 12q24 (SCARB1), and 16q13 (CETP). Risk allele frequencies ranged from 0.15 to 0.86, and odds ratio per copy of the risk allele ranged from 1.04 to 1.09. Of 62 new and known CAD loci, 24 (38.7%) showed statistical association with a traditional cardiovascular risk factor, with some showing multiple associations, and 29 (47%) showed associations at p < 1 x 10(-4) with a range of other diseases/traits. CONCLUSIONS We identified 6 loci associated with CAD at genome-wide significance. Several CAD loci show substantial pleiotropy, which may help us understand the mechanisms by which these loci affect CAD risk. (C)
Published: 2017
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25. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

Author: Webb, Thomas R., Erdmann, Jeanette, Stirrups, Kathleen E., Stitziel, Nathan O., Masca, Nicholas G. D., Jansen, Henning, Kanoni, Stavroula, Nelson, Christopher P., Ferrario, Paola G., Koenig, Inke R., Eicher, John D., Johnson, Andrew D., Hamby, Stephen E., Betsholtz, Christer, Ruusalepp, Arno, Franzen, Oscar, Schadt, Eric E., Bjoerkegren, Johan L. M., Weeke, Peter E., Auer, Paul L., Schick, Ursula M., Lu, Yingchang, Zhang, He, Dube, Marie-Pierre, Goel, Anuj, Farrall, Martin, Peloso, Gina M., Won, Hong-Hee, Do, Ron, van Iperen, Erik, Kruppa, Jochen, Mahajan, Anubha, Scott, Robert A., Willenborg, Christina, Braund, Peter S., van Capelleveen, Julian C., Doney, Alex S. F., Donnelly, Louise A., Asselta, Rosanna, Merlini, Pier A., Duga, Stefano, Marziliano, Nicola, Denny, Josh C., Shaffer, Christian, El-Mokhtari, Nour Eddine, Franke, Andre, Heilmann, Stefanie, Hengstenberg, Christian, Hoffmann, Per, Holmen, Oddgeir L., Hveem, Kristian, Jansson, Jan-Håkan, Joeckel, Karl-Heinz, Kessler, Thorsten, Kriebel, Jennifer, Laugwitz, Karl L., Marouli, Eirini, Martinelli, Nicola, McCarthy, Mark I., Van Zuydam, Natalie R., Meisinger, Christa, Esko, Tonu, Mihailov, Evelin, Escher, Stefan A., Alver, Maris, Moebus, Susanne, Morris, Andrew D., Virtamo, Jarma, Nikpay, Majid, Olivieri, Oliviero, Provost, Sylvie, AlQarawi, Alaa, Robertson, Neil R., Akinsansya, Karen O., Reilly, Dermot F., Vogt, Thomas F., Yin, Wu, Asselbergs, Folkert W., Kooperberg, Charles, Jackson, Rebecca D., Stahl, Eli, Mueller-Nurasyid, Martina, Strauch, Konstantin, Varga, Tibor V., Waldenberger, Melanie, Zeng, Lingyao, Chowdhury, Rajiv, Salomaa, Veikko, Ford, Ian, Jukema, J. Wouter, Amouyel, Philippe, Kontto, Jukka, Nordestgaard, Borge G., Ferrieres, Jean, Saleheen, Danish, Sattar, Naveed, Surendran, Praveen, Wagner, Aline, Young, Robin, Howson, Joanna M. M., Butterworth, Adam S., Danesh, John, Ardissino, Diego, Bottinger, Erwin P., Erbel, Raimund, Franks, Paul W., Girelli, Domenico, Hall, Alistair S., Hovingh, G. Kees, Kastrati, Adnan, Lieb, Wolfgang, Meitinger, Thomas, Kraus, William E., Shah, Svati H., McPherson, Ruth, Orho-Melander, Marju, Melander, Olle, Metspalu, Andres, Palmer, Colin N. A., Peters, Annette, Rader, Daniel J., Reilly, Muredach P., Loos, Ruth J. F., Reiner, Alex P., Roden, Dan M., Tardif, Jean-Claude, Thompson, John R., Wareham, Nicholas J., Watkins, Hugh, Willer, Cristen J., Samani, Nilesh J., Schunkert, Heribert, Deloukas, Panos, Kathiresan, Sekar, Webb, Thomas R., Erdmann, Jeanette, Stirrups, Kathleen E., Stitziel, Nathan O., Masca, Nicholas G. D., Jansen, Henning, Kanoni, Stavroula, Nelson, Christopher P., Ferrario, Paola G., Koenig, Inke R., Eicher, John D., Johnson, Andrew D., Hamby, Stephen E., Betsholtz, Christer, Ruusalepp, Arno, Franzen, Oscar, Schadt, Eric E., Bjoerkegren, Johan L. M., Weeke, Peter E., Auer, Paul L., Schick, Ursula M., Lu, Yingchang, Zhang, He, Dube, Marie-Pierre, Goel, Anuj, Farrall, Martin, Peloso, Gina M., Won, Hong-Hee, Do, Ron, van Iperen, Erik, Kruppa, Jochen, Mahajan, Anubha, Scott, Robert A., Willenborg, Christina, Braund, Peter S., van Capelleveen, Julian C., Doney, Alex S. F., Donnelly, Louise A., Asselta, Rosanna, Merlini, Pier A., Duga, Stefano, Marziliano, Nicola, Denny, Josh C., Shaffer, Christian, El-Mokhtari, Nour Eddine, Franke, Andre, Heilmann, Stefanie, Hengstenberg, Christian, Hoffmann, Per, Holmen, Oddgeir L., Hveem, Kristian, Jansson, Jan-Håkan, Joeckel, Karl-Heinz, Kessler, Thorsten, Kriebel, Jennifer, Laugwitz, Karl L., Marouli, Eirini, Martinelli, Nicola, McCarthy, Mark I., Van Zuydam, Natalie R., Meisinger, Christa, Esko, Tonu, Mihailov, Evelin, Escher, Stefan A., Alver, Maris, Moebus, Susanne, Morris, Andrew D., Virtamo, Jarma, Nikpay, Majid, Olivieri, Oliviero, Provost, Sylvie, AlQarawi, Alaa, Robertson, Neil R., Akinsansya, Karen O., Reilly, Dermot F., Vogt, Thomas F., Yin, Wu, Asselbergs, Folkert W., Kooperberg, Charles, Jackson, Rebecca D., Stahl, Eli, Mueller-Nurasyid, Martina, Strauch, Konstantin, Varga, Tibor V., Waldenberger, Melanie, Zeng, Lingyao, Chowdhury, Rajiv, Salomaa, Veikko, Ford, Ian, Jukema, J. Wouter, Amouyel, Philippe, Kontto, Jukka, Nordestgaard, Borge G., Ferrieres, Jean, Saleheen, Danish, Sattar, Naveed, Surendran, Praveen, Wagner, Aline, Young, Robin, Howson, Joanna M. M., Butterworth, Adam S., Danesh, John, Ardissino, Diego, Bottinger, Erwin P., Erbel, Raimund, Franks, Paul W., Girelli, Domenico, Hall, Alistair S., Hovingh, G. Kees, Kastrati, Adnan, Lieb, Wolfgang, Meitinger, Thomas, Kraus, William E., Shah, Svati H., McPherson, Ruth, Orho-Melander, Marju, Melander, Olle, Metspalu, Andres, Palmer, Colin N. A., Peters, Annette, Rader, Daniel J., Reilly, Muredach P., Loos, Ruth J. F., Reiner, Alex P., Roden, Dan M., Tardif, Jean-Claude, Thompson, John R., Wareham, Nicholas J., Watkins, Hugh, Willer, Cristen J., Samani, Nilesh J., Schunkert, Heribert, Deloukas, Panos, and Kathiresan, Sekar
Abstract: BACKGROUND Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits. OBJECTIVES This study sought to systematically test if genetic variants identified for non-CAD diseases/traits also associate with CAD and to undertake a comprehensive analysis of the extent of pleiotropy of all CAD loci. METHODS In discovery analyses involving 42,335 CAD cases and 78,240 control subjects we tested the association of 29,383 common (minor allele frequency >5%) single nucleotide polymorphisms available on the exome array, which included a substantial proportion of known or suspected single nucleotide polymorphisms associated with common diseases or traits as of 2011. Suggestive association signals were replicated in an additional 30,533 cases and 42,530 control subjects. To evaluate pleiotropy, we tested CAD loci for association with cardiovascular risk factors (lipid traits, blood pressure phenotypes, body mass index, diabetes, and smoking behavior), as well as with other diseases/traits through interrogation of currently available genome-wide association study catalogs. RESULTS We identified 6 new loci associated with CAD at genome-wide significance: on 2q37 (KCNJ13-GIGYF2), 6p21 (C2), 11p15 (MRVI1-CTR9), 12q13 (LRP1), 12q24 (SCARB1), and 16q13 (CETP). Risk allele frequencies ranged from 0.15 to 0.86, and odds ratio per copy of the risk allele ranged from 1.04 to 1.09. Of 62 new and known CAD loci, 24 (38.7%) showed statistical association with a traditional cardiovascular risk factor, with some showing multiple associations, and 29 (47%) showed associations at p < 1 x 10(-4) with a range of other diseases/traits. CONCLUSIONS We identified 6 loci associated with CAD at genome-wide significance. Several CAD loci show substantial pleiotropy, which may help us understand the mechanisms by which these loci affect CAD risk. (C)
Published: 2017
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25 results on '"Kontto, Jukka"'

1. Exploring the incremental utility of circulating biomarkers for robust risk prediction of incident atrial fibrillation in European cohorts using regressions and modern machine learning methods

2. Exploring the incremental utility of circulating biomarkers for robust risk prediction of incident atrial fibrillation in European cohorts using regressions and modern machine learning methods

3. Exploring the incremental utility of circulating biomarkers for robust risk prediction of incident atrial fibrillation in European cohorts using regressions and modern machine learning methods

4. Exploring the incremental utility of circulating biomarkers for robust risk prediction of incident atrial fibrillation in European cohorts using regressions and modern machine learning methods

5. Exploring the incremental utility of circulating biomarkers for robust risk prediction of incident atrial fibrillation in European cohorts using regressions and modern machine learning methods

6. Risk Factors, Subsequent Disease Onset, and Prognostic Impact of Myocardial Infarction and Atrial Fibrillation

7. Risk Factors, Subsequent Disease Onset, and Prognostic Impact of Myocardial Infarction and Atrial Fibrillation

8. Risk Factors, Subsequent Disease Onset, and Prognostic Impact of Myocardial Infarction and Atrial Fibrillation

9. Risk Factors, Subsequent Disease Onset, and Prognostic Impact of Myocardial Infarction and Atrial Fibrillation

10. Alcohol consumption, cardiac biomarkers, and risk of atrial fibrillation and adverse outcomes

11. Alcohol consumption, cardiac biomarkers, and risk of atrial fibrillation and adverse outcomes

12. Alcohol consumption, cardiac biomarkers, and risk of atrial fibrillation and adverse outcomes

13. Alcohol consumption, cardiac biomarkers, and risk of atrial fibrillation and adverse outcomes

14. Alcohol consumption, cardiac biomarkers, and risk of atrial fibrillation and adverse outcomes

15. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

16. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

17. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

18. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

19. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

20. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

21. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

22. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

23. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

24. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

25. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

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25 results on '"Kontto, Jukka"'

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