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1. Leveraging related health phenotypes for polygenic prediction of impulsive choice, impulsive action, and impulsive personality traits in 1534 European ancestry community adults

Author: Wei Q. Deng, Kyla Belisario, Joshua C. Gray, Emily E. Levitt, Pedrum Mohammadi‐Shemirani, Desmond Singh, Guillaume Pare, and James MacKillop
Subjects: Behavioral Neuroscience, Neurology, Genetics
Published: 2023

2. Current State and Future of Polygenic Risk Scores in Cardiometabolic Disease: A Scoping Review

Author: Jobanjit S. Phulka, Mishal Ashraf, Beenu K. Bajwa, Guillaume Pare, and Zachary Laksman
Subjects: General Medicine
Abstract: A polygenic risk score (PRS) is derived from a genome-wide association study and represents an aggregate of thousands of single-nucleotide polymorphisms that provide a baseline estimate of an individual’s genetic risk for a specific disease or trait at birth. However, it remains unclear how PRSs can be used in clinical practice. We provide an overview of the PRSs related to cardiometabolic disease and discuss the evidence supporting their clinical applications and limitations. The Preferred Reporting Items For Systematic Reviews and Meta-Analysis Extension for Scoping Reviews protocol was used to conduct a scoping review of the MEDLINE, EMBASE, and CENTRAL databases. Across the 4863 studies screened, 82 articles met the inclusion criteria. The most common PRS related to coronary artery disease, followed by hypertension and cerebrovascular disease. Limited ancestral diversity was observed in the study sample populations. Most studies included only individuals of European ancestry. The predictive performance of most PRSs was similar to or superior to traditional risk factors. More than half of the included studies reported an integrated risk model combining a derived PRS and clinical risk tools such as the Framingham Risk Score and Pooled Cohort Equations. The inclusion of a PRS into a clinical risk model tended to improve predictive accuracy consistently. This scoping review is the first of its kind and reports strong evidence for the clinical utility of PRSs in coronary artery disease, hypertension, cerebrovascular disease, and atrial fibrillation. However, most PRSs are generated in cohorts of European ancestry, which likely contributes to a lack of PRS transferability across different ancestral groups. Future prospective studies should focus on further establishing the clinical utility of PRSs and ensuring diversity is incorporated into genome-wide association study cohorts.
Published: 2023

3. PCSK7: a Novel Regulator of Apolipoprotein B and a Potential Target Against Non-Alcoholic Fatty Liver Disease

Author: Nabil Seidah, Vatsal Sachan, Mailys Le Dévéhat, Anna Roubtsova, Rachid Essalmani, Damien Garçon, Delia Susan-Resiga, Stéphanie Duval, Sahar Mikaeeli, Josée Hamelin, Alexandra Evagelidis, Michael Chong, Guillaume Pare, Elizabeta Chernetsova, Zu-hua Gao, Isabelle Robillard, Matthieu Ruiz, Vincent Quoc-Huy Trinh, Jennifer Estall, May Faraj, Jean-Francois Laurendeau, Richard Austin, Martin Sauvageau, Annik Prat, and Robert Scott Kiss
Abstract: Epidemiological evidence links the proprotein convertase subtilisin/kexin 7 (PCSK7) to triglyceride (TG) metabolism. PCSK7-SNPs gain-of-function and loss-of-function variants were associated with higher and lower levels of plasma apoB and TGs, respectively. Herein, we biochemically defined the in vivo role of PCSK7 in lipid metabolism using full-body Pcsk7-/- mice and hepatic cell lines. Non-enzymatically membrane-bound PCSK7 binds apoB100 in the endoplasmic reticulum and enhances its secretion. Mechanistically, the loss of PCSK7/Pcsk7 leads to apoB degradation, triggering an unfolded protein response, autophagy, and β-oxidation, eventually reducing hepatic lipid accumulation. We investigated whether Pcsk7-/- mice could better recover from a NAFLD-inducing 12-weeks high fat/fructose/cholesterol diet when followed by a 4-weeks regular diet. Livers of Pcsk7-/- mice more effectively and safely recovered than those of wild-type mice. These findings were validated following subcutaneous administration of hepatocyte-targeted N-acetylgalactosamine (GalNac)-antisense-oligonucleotides (ASOs) against Pcsk7, strongly supporting the therapeutic intervention of hepatocyte PCSK7 mRNA silencing for NAFLD treatment.
Published: 2023

4. Biomarkers of Prevalent and Incident Cognitive Dysfunction in People with Dysglycemia: Data from the ORIGIN Trial

Author: Tali, Cukierman-Yaffe, Shun-Fu, Lee, Guillaume, Pare, Matthew, McQueen, Sibylle, Hess, and Hertzel C, Gerstein
Subjects: Psychiatry and Mental health, Clinical Psychology, Risk Factors, General Neuroscience, Humans, Insulin Glargine, Cognitive Dysfunction, General Medicine, Geriatrics and Gerontology, Mental Status and Dementia Tests, Biomarkers
Abstract: Background: Diabetes and cardiovascular disease increase the risk of incident cognitive dysfunction. Identification of novel biochemical markers for cognitive dysfunction may identify people at the highest risk while yielding insights regarding the pathophysiology of cognitive dysfunction. Objective: To identify cardiovascular biomarkers in serum that are independent predictors of cognitive dysfunction in individuals with dysglycemia. Methods: This analysis was conducted in 8,365 participants in the Outcome Reduction with an Initial Glargine Intervention (ORIGIN) trial whose stored serum was analyzed for 238 cardio-metabolic biomarkers and completed a baseline Mini-Mental State Examination (MMSE). Fine and Gray sub distribution hazard models accounting for the competing risk of death accounting for clinical risk factors and the baseline MMSE were used to identify biomarkers that predicted incident cognitive dysfunction (MMSE
Published: 2022

5. Abstract P339: The Clinical Application and Ancestral Diversity of Cardiometabolic Polygenic Risk Scores

Author: Jobanjit S Phulka, Mishal Ashraf, Beenu K Bajwa, Guillaume Pare, and Zachary Laksman
Subjects: Physiology (medical), Cardiology and Cardiovascular Medicine
Abstract: Introduction: A polygenic risk score (PRS) is derived from a genome-wide association study (GWAS) and represents an aggregate of thousands of single-nucleotide polymorphisms (SNPs) that provide a baseline estimate of an individual’s genetic risk for a specific disease or trait at birth. Cardiometabolic disease represents a set of disease processes that historically have disproportionally affected underrepresented racial and minority groups. Furthermore, these groups represent a population generally not well captured by traditional risk scores compared to European cohorts. Since the first GWAS studying myocardial infarction was published, PRSs have increasingly been seen as a promising tool to improve risk stratification of non-European populations. However, how PRSs can be best used in clinical practice remains unclear. Hypothesis: We provide an overview of the PRSs related to cardiometabolic disease, analyze the ancestral diversity of GWAS cohorts, and discuss the evidence supporting their clinical applications. Methods: The Preferred Reporting Items For Systematic Reviews and Meta-analysis extension for Scoping Reviews protocol was used to conduct a scoping review of the MEDLINE, EMBASE, and CENTRAL databases. English studies that published a PRS related to atrial fibrillation (AF), cerebrovascular disease (CVD), coronary artery disease (CAD), dyslipidemia, heart failure, heritable cardiomyopathy, hypertension, and type 2 diabetes were reviewed. Results: Across the 4,863 studies screened, 82 articles met the inclusion criteria. The most common PRS related to CAD, followed by hypertension and CVD. Limited ancestral diversity was observed as most studies (56) included only individuals of European ancestry. A smaller proportion of studies (16) published PRSs derived in multi-ancestry cohorts. Only ten studies published a PRS derived solely from a sample population of non-European ancestry (Chinese, East Asian, Japanese, and Korean). The predictive performance of most PRSs was similar to or superior to traditional risk factors. More than half of the included studies (42) reported an integrated risk model combining a PRS with traditional risk factors or a clinical risk tool (FRS, PCE, CHADS2). The integrated risk model consistently improved predictive accuracy, but few studies investigated the performance in a non-European population. Conclusion: In conclusion, this scoping review reports strong evidence for the clinical use of PRSs in AF, CAD, CVD, and hypertension. However, most PRSs are derived in cohorts of European ancestry, which contributes to a lack of PRS transferability across different ancestral groups, likely exacerbating health inequities. Future prospective studies should focus on further establishing the clinical utility of PRSs. Additionally, diversity in future GWAS cohorts is essential to ensure that PRSs reflect the multi-ancestry society at large.
Published: 2023

6. Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

Author: William J. Young, Najim Lahrouchi, Aaron Isaacs, ThuyVy Duong, Luisa Foco, Farah Ahmed, Jennifer A. Brody, Reem Salman, Raymond Noordam, Jan-Walter Benjamins, Jeffrey Haessler, Leo-Pekka Lyytikäinen, Linda Repetto, Maria Pina Concas, Marten E. van den Berg, Stefan Weiss, Antoine R. Baldassari, Traci M. Bartz, James P. Cook, Daniel S. Evans, Rebecca Freudling, Oliver Hines, Jonas L. Isaksen, Honghuang Lin, Hao Mei, Arden Moscati, Martina Müller-Nurasyid, Casia Nursyifa, Yong Qian, Anne Richmond, Carolina Roselli, Kathleen A. Ryan, Eduardo Tarazona-Santos, Sébastien Thériault, Stefan van Duijvenboden, Helen R. Warren, Jie Yao, Dania Raza, Stefanie Aeschbacher, Gustav Ahlberg, Alvaro Alonso, Laura Andreasen, Joshua C. Bis, Eric Boerwinkle, Archie Campbell, Eulalia Catamo, Massimiliano Cocca, Michael J. Cutler, Dawood Darbar, Alessandro De Grandi, Antonio De Luca, Jun Ding, Christina Ellervik, Patrick T. Ellinor, Stephan B. Felix, Philippe Froguel, Christian Fuchsberger, Martin Gögele, Claus Graff, Mariaelisa Graff, Xiuqing Guo, Torben Hansen, Susan R. Heckbert, Paul L. Huang, Heikki V. Huikuri, Nina Hutri-Kähönen, M. Arfan Ikram, Rebecca D. Jackson, Juhani Junttila, Maryam Kavousi, Jan A. Kors, Thiago P. Leal, Rozenn N. Lemaitre, Henry J. Lin, Lars Lind, Allan Linneberg, Simin Liu, Peter W. MacFarlane, Massimo Mangino, Thomas Meitinger, Massimo Mezzavilla, Pashupati P. Mishra, Rebecca N. Mitchell, Nina Mononen, May E. Montasser, Alanna C. Morrison, Matthias Nauck, Victor Nauffal, Pau Navarro, Kjell Nikus, Guillaume Pare, Kristen K. Patton, Giulia Pelliccione, Alan Pittman, David J. Porteous, Peter P. Pramstaller, Michael H. Preuss, Olli T. Raitakari, Alexander P. Reiner, Antonio Luiz P. Ribeiro, Kenneth M. Rice, Lorenz Risch, David Schlessinger, Ulrich Schotten, Claudia Schurmann, Xia Shen, M. Benjamin Shoemaker, Gianfranco Sinagra, Moritz F. Sinner, Elsayed Z. Soliman, Monika Stoll, Konstantin Strauch, Kirill Tarasov, Kent D. Taylor, Andrew Tinker, Stella Trompet, André Uitterlinden, Uwe Völker, Henry Völzke, Melanie Waldenberger, Lu-Chen Weng, Eric A. Whitsel, James G. Wilson, Christy L. Avery, David Conen, Adolfo Correa, Francesco Cucca, Marcus Dörr, Sina A. Gharib, Giorgia Girotto, Niels Grarup, Caroline Hayward, Yalda Jamshidi, Marjo-Riitta Järvelin, J. Wouter Jukema, Stefan Kääb, Mika Kähönen, Jørgen K. Kanters, Charles Kooperberg, Terho Lehtimäki, Maria Fernanda Lima-Costa, Yongmei Liu, Ruth J. F. Loos, Steven A. Lubitz, Dennis O. Mook-Kanamori, Andrew P. Morris, Jeffrey R. O’Connell, Morten Salling Olesen, Michele Orini, Sandosh Padmanabhan, Cristian Pattaro, Annette Peters, Bruce M. Psaty, Jerome I. Rotter, Bruno Stricker, Pim van der Harst, Cornelia M. van Duijn, Niek Verweij, James F. Wilson, Dan E. Arking, Julia Ramirez, Pier D. Lambiase, Nona Sotoodehnia, Borbala Mifsud, Christopher Newton-Cheh, Patricia B. Munroe, Cardiology, ACS - Heart failure & arrhythmias, Epidemiology, Radiology & Nuclear Medicine, Medical Informatics, Internal Medicine, Young, William J, Lahrouchi, Najim, Isaacs, Aaron, Duong, Thuyvy, Foco, Luisa, Ahmed, Farah, Brody, Jennifer A, Salman, Reem, Noordam, Raymond, Benjamins, Jan-Walter, Haessler, Jeffrey, Lyytikäinen, Leo-Pekka, Repetto, Linda, Concas, Maria Pina, van den Berg, Marten E, Weiss, Stefan, Baldassari, Antoine R, Bartz, Traci M, Cook, James P, Evans, Daniel S, Freudling, Rebecca, Hines, Oliver, Isaksen, Jonas L, Lin, Honghuang, Mei, Hao, Moscati, Arden, Müller-Nurasyid, Martina, Nursyifa, Casia, Qian, Yong, Richmond, Anne, Roselli, Carolina, Ryan, Kathleen A, Tarazona-Santos, Eduardo, Thériault, Sébastien, van Duijvenboden, Stefan, Warren, Helen R, Yao, Jie, Raza, Dania, Aeschbacher, Stefanie, Ahlberg, Gustav, Alonso, Alvaro, Andreasen, Laura, Bis, Joshua C, Boerwinkle, Eric, Campbell, Archie, Catamo, Eulalia, Cocca, Massimiliano, Cutler, Michael J, Darbar, Dawood, De Grandi, Alessandro, De Luca, Antonio, Ding, Jun, Ellervik, Christina, Ellinor, Patrick T, Felix, Stephan B, Froguel, Philippe, Fuchsberger, Christian, Gögele, Martin, Graff, Clau, Graff, Mariaelisa, Guo, Xiuqing, Hansen, Torben, Heckbert, Susan R, Huang, Paul L, Huikuri, Heikki V, Hutri-Kähönen, Nina, Ikram, M Arfan, Jackson, Rebecca D, Junttila, Juhani, Kavousi, Maryam, Kors, Jan A, Leal, Thiago P, Lemaitre, Rozenn N, Lin, Henry J, Lind, Lar, Linneberg, Allan, Liu, Simin, Macfarlane, Peter W, Mangino, Massimo, Meitinger, Thoma, Mezzavilla, Massimo, Mishra, Pashupati P, Mitchell, Rebecca N, Mononen, Nina, Montasser, May E, Morrison, Alanna C, Nauck, Matthia, Nauffal, Victor, Navarro, Pau, Nikus, Kjell, Pare, Guillaume, Patton, Kristen K, Pelliccione, Giulia, Pittman, Alan, Porteous, David J, Pramstaller, Peter P, Preuss, Michael H, Raitakari, Olli T, Reiner, Alexander P, Ribeiro, Antonio Luiz P, Rice, Kenneth M, Risch, Lorenz, Schlessinger, David, Schotten, Ulrich, Schurmann, Claudia, Shen, Xia, Shoemaker, M Benjamin, Sinagra, Gianfranco, Sinner, Moritz F, Soliman, Elsayed Z, Stoll, Monika, Strauch, Konstantin, Tarasov, Kirill, Taylor, Kent D, Tinker, Andrew, Trompet, Stella, Uitterlinden, André, Völker, Uwe, Völzke, Henry, Waldenberger, Melanie, Weng, Lu-Chen, Whitsel, Eric A, Wilson, James G, Avery, Christy L, Conen, David, Correa, Adolfo, Cucca, Francesco, Dörr, Marcu, Gharib, Sina A, Girotto, Giorgia, Grarup, Niel, Hayward, Caroline, Jamshidi, Yalda, Järvelin, Marjo-Riitta, Jukema, J Wouter, Kääb, Stefan, Kähönen, Mika, Kanters, Jørgen K, Kooperberg, Charle, Lehtimäki, Terho, Lima-Costa, Maria Fernanda, Liu, Yongmei, Loos, Ruth J F, Lubitz, Steven A, Mook-Kanamori, Dennis O, Morris, Andrew P, O'Connell, Jeffrey R, Olesen, Morten Salling, Orini, Michele, Padmanabhan, Sandosh, Pattaro, Cristian, Peters, Annette, Psaty, Bruce M, Rotter, Jerome I, Stricker, Bruno, van der Harst, Pim, van Duijn, Cornelia M, Verweij, Niek, Wilson, James F, Arking, Dan E, Ramirez, Julia, Lambiase, Pier D, Sotoodehnia, Nona, Mifsud, Borbala, Newton-Cheh, Christopher, Munroe, Patricia B, Cardiovascular Centre (CVC), Tampere University, Department of Clinical Chemistry, Clinical Medicine, Department of Paediatrics, TAYS Heart Centre, Department of Clinical Physiology and Nuclear Medicine, Fysiologie, RS: Carim - B01 Blood proteins & engineering, RS: Carim - H08 Experimental atrial fibrillation, and Biochemie
Subjects: Male, Electrocardiography/methods, General Physics and Astronomy, 610 Medicine & health, Arrhythmias, 3121 Internal medicine, Genome-wide association studies, General Biochemistry, Genetics and Molecular Biology, Electrocardiography, Humans, Arrhythmias, Cardiac/genetics, Genetic Testing, Medicinsk genetik, Multidisciplinary, Death, Sudden, Cardiac, Arrhythmias, Cardiac, General Chemistry, Sudden, Electrocardiogram, Death, Genetic markers, 3111 Biomedicine, 610 Medizin und Gesundheit, Cardiac, Medical Genetics
Abstract: The QT interval is a heritable electrocardiographic measure associated with arrhythmia risk when prolonged. Here, the authors used a series of genetic analyses to identify genetic loci, pathways, therapeutic targets, and relationships with cardiovascular disease. The QT interval is an electrocardiographic measure representing the sum of ventricular depolarization and repolarization, estimated by QRS duration and JT interval, respectively. QT interval abnormalities are associated with potentially fatal ventricular arrhythmia. Using genome-wide multi-ancestry analyses (>250,000 individuals) we identify 177, 156 and 121 independent loci for QT, JT and QRS, respectively, including a male-specific X-chromosome locus. Using gene-based rare-variant methods, we identify associations with Mendelian disease genes. Enrichments are observed in established pathways for QT and JT, and previously unreported genes indicated in insulin-receptor signalling and cardiac energy metabolism. In contrast for QRS, connective tissue components and processes for cell growth and extracellular matrix interactions are significantly enriched. We demonstrate polygenic risk score associations with atrial fibrillation, conduction disease and sudden cardiac death. Prioritization of druggable genes highlight potential therapeutic targets for arrhythmia. Together, these results substantially advance our understanding of the genetic architecture of ventricular depolarization and repolarization.
Published: 2022

7. Effects of routine early treatment with PCSK9 inhibitors in patients undergoing primary percutaneous coronary intervention for ST-segment elevation myocardial infarction: a randomised, double-blind, sham-controlled trial

Author: Shamir R. Mehta, Guillaume Pare, Eva M. Lonn, Sanjit S. Jolly, Madhu K. Natarajan, Natalia Pinilla-Echeverri, Jon-David Schwalm, Tej N. Sheth, Matthew Sibbald, Michael Tsang, Nicholas Valettas, James L. Velianou, Shun Fu Lee, Tahsin Ferdous, Sadia Nauman, Helen Nguyen, Tara McCready, and Matthew J. McQueen
Subjects: Percutaneous Coronary Intervention, Treatment Outcome, Double-Blind Method, PCSK9 Inhibitors, Hypercholesterolemia, Humans, ST Elevation Myocardial Infarction, Cholesterol, LDL, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Proprotein Convertase 9, Cardiology and Cardiovascular Medicine
Abstract: In patients with ST-segment elevation myocardial infarction (STEMI), early initiation of high-intensity statin therapy, regardless of low-density lipoprotein (LDL) cholesterol levels, is the standard of practice worldwide. Aims: We sought to determine the effect of a similar early initiation strategy, using a proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor added to the high-intensity statin, on LDL cholesterol in acute STEMI.In a randomised, double-blind trial we assigned 68 patients with STEMI undergoing primary percutaneous coronary intervention (PCI) to early treatment with alirocumab 150 mg subcutaneously or to a matching sham control. The first injection was given before primary PCI regardless of the baseline LDL level, then at 2 and 4 weeks. The primary outcome was the percent reduction in direct LDL cholesterol up to 6 weeks, analysed using a linear mixed model. Results: High-intensity statin use was 97% and 100% in the alirocumab and sham-control groups, respectively. At a median of 45 days, the primary outcome of LDL cholesterol decreased by 72.9% with alirocumab (2.97 mmol/L to 0.75 mmol/L) versus 48.1% with the sham control (2.87 mmol/L to 1.30 mmol/L), for a mean between-group difference of -22.3% (p0.001). More patients achieved the European Society of Cardiology/European Atherosclerosis Society dyslipidaemia guideline target of LDL ≤1.4 mmol/L in the alirocumab group (92.1% vs 56.7%; p0.001). Within the first 24 hours, LDL declined slightly more rapidly in the alirocumab group than in the sham-control group (-0.01 mmol/L/hour; p=0.03) with similar between-group mean values. Conclusions: In this randomised trial of routine early initiation of PCSK9 inhibitors in patients undergoing primary PCI for STEMI, alirocumab reduced LDL cholesterol by 22% compared with sham control on a background of high-intensity statin therapy. A large trial is needed to determine if this simplified approach followed by long-term therapy improves cardiovascular outcomes in patients with acute STEMI. (ClinicalTrials.gov: NCT03718286).
Published: 2022

8. The Genetic Risk of Gestational Diabetes in South Asian women

Author: Guillaume Pare
Abstract: South Asian women are at increased risk of developing gestational diabetes (GDM). Few studies have investigated the genetic contributions to GDM risk. We investigated the association of a type 2 diabetes (T2D) polygenic risk score (PRS), on its own, and with GDM risk factors, on GDM-related traits using data from two birth cohorts in which South Asian women were enrolled during pregnancy. 837 and 4,372 pregnant South Asian women from the SouTh Asian BiRth CohorT (START) and Born in Bradford (BiB) cohort studies underwent a 75-gram glucose tolerance test. PRSs were derived using GWAS results from an independent multi-ethnic study (∼18% South Asians). Associations with fasting plasma glucose (FPG); 2h post-load glucose (2hG); area under the curve glucose; and GDM were tested using linear and logistic regressions. The population attributable fraction (PAF) of the PRS was calculated. Every 1 SD increase in the PRS was associated with a 0.085 mmol/L increase in FPG ([95%CI=0.07-0.10], P=2.85 × 10−20); 0.21 mmol/L increase in 2hG ([95%CI=0.16-0.26], P=5.49 × 10−16); and a 45% increase in the risk of GDM ([95%CI=32-60%], P=2.27 × 10−14), independent of parental history of diabetes and other GDM risk factors. PRS tertile 3 accounted for 12.5% of the population’s GDM. No consistent interactions of the PRS with BMI, or diet quality were observed. A T2D PRS is strongly associated with multiple GDM-related traits in women of South Asian descent, and accounts for a substantial proportion of the PAF of GDM.
Published: 2022

9. 190-LB: Vaspin—A Novel Predictor of Type 2 Diabetes Risk

Author: HARRY WANG, MICHAEL CHONG, NICOLAS PERROT, JAMES FEINER, SIBYLLE HESS, SALIM YUSUF, HERTZEL C. GERSTEIN, GUILLAUME PARE, and MARIE PIGEYRE
Subjects: Endocrinology, Diabetes and Metabolism, Internal Medicine
Abstract: Vaspin (visceral adipose tissue-derived serpinA12) is an adipokine suspected to be involved in type 2 diabetes (T2D) pathogenesis, linking obesity and T2D. We sought to assess epidemiological and genetic associations of vaspin with T2D and related variables. We assessed the relationship of body-mass index (BMI) and waist-hip ratio (WHR) and plasma vaspin concentration, along with the relationship between plasma vaspin and adiposity-related variables and T2D in (i) a case-cohort within the Prospective Urban and Rural Epidemiology (PURE) prospective multi-country study (N=10,052) , and (ii) the Outcome Reduction with Initial Glargine Intervention (ORIGIN) Trial (N=7,840) of participants with dysglycemia. We next investigated the predictive value of vaspin for T2D risk. All models adjusted for age, sex, and ethnicity. Using two-sample Mendelian randomization (MR) , we analyzed if genetically higher vaspin is causal for T2D. The MR analysis used 34 independent genetic variants (linkage disequilibrium r2 In PURE, a 1 unit increase in BMI and WHR was associated with a 0.01 SD (95% CI 0.01 - 0.02; P = 2.04x10−15) and 0.45 SD (95% CI, 0.21 - 0.70; P = 2.87 × 10−4) increase in plasma vaspin respectively. A 1 SD increase in plasma vaspin was associated with higher triglycerides (0.09 mmol/L; 95% CI, 0.07 - 0.12, P = 4.08x10−13) . Directionally-consistent associations were observed in ORIGIN. A 1 SD increase in plasma vaspin was associated with a 19% increase in incident T2D risk in PURE (HR, 1.19; 95% CI, 1.12 - 1.26; P = 6.36x10−8) and a 16% increase in prevalent T2D in ORIGIN (OR, 1.16; 95% CI, 1.07 - 1.25; P = 2.17x10−4) . Sensitivity analyses showed vaspin's specificity for T2D. Genetically-higher vaspin was associated with increased BMI-adjusted T2D risk (OR, 1.02; 95% CI, 1.00 - 1.03; P = 5.46x10−3) . Our data suggests that vaspin is a predictor for T2D risk, a modest causal factor for T2D development, and might represent a potential T2D therapeutic target. Disclosure H. Wang: None. M. Chong: None. N. Perrot: None. J. Feiner: None. S. Hess: Employee; Sanofi. S. Yusuf: None. H. C. Gerstein: Advisory Panel; Abbott, Eli Lilly and Company, Hanmi Pharm. Co., Ltd., Novo Nordisk, Pfizer Inc., Sanofi, Viatris Inc., Consultant; Kowa Company, Ltd., Other Relationship; DKSH, Eli Lilly and Company, Sanofi, Zuellig Pharma Holdings Pte. Ltd., Research Support; AstraZeneca, Eli Lilly and Company, Merck & Co., Inc., Novo Nordisk, Sanofi. G. Pare: Advisory Panel; Amgen Inc., Bayer AG, Sanofi, Research Support; Bayer AG. M. Pigeyre: n/a. Funding PURE biomarker study was sponsored by Bayer and CIHR. Origin (NCT00069784) and the biomarker-substudy in Origin were sponsored by Sanofi and CIHR.
Published: 2022

10. Multi-phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations

Author: Gerard Temprano‐Sagrera, Colleen M. Sitlani, William P. Bone, Miguel Martin‐Bornez, Benjamin F. Voight, Alanna C. Morrison, Scott M. Damrauer, Paul S. de Vries, Nicholas L. Smith, Maria Sabater‐Lleal, Abbas Dehghan, Adam S Heath, Alanna C Morrison, Alex P Reiner, Andrew Johnson, Anne Richmond, Annette Peters, Astrid van Hylckama Vlieg, Barbara McKnight, Bruce M Psaty, Caroline Hayward, Cavin Ward‐Caviness, Christopher O’Donnell, Daniel Chasman, David P Strachan, David A Tregouet, Dennis Mook‐Kanamori, Dipender Gill, Florian Thibord, Folkert W Asselbergs, Frank W.G. Leebeek, Frits R Rosendaal, Gail Davies, Georg Homuth, Gerard Temprano, Harry Campbell, Herman A Taylor, Jan Bressler, Jennifer E Huffman, Jerome I Rotter, Jie Yao, James F Wilson, Joshua C Bis, Julie M Hahn, Karl C Desch, Kerri L Wiggins, Laura M Raffield, Lawrence F Bielak, Lisa R Yanek, Marcus E Kleber, Martina Mueller, Maryam Kavousi, Massimo Mangino, Melissa Liu, Michael R Brown, Matthew P Conomos, Min‐A Jhun, Ming‐Huei Chen, Moniek P.M. de Maat, Nathan Pankratz, Nicholas L Smith, Patricia A Peyser, Paul Elliot, Paul S de Vries, Peng Wei, Philipp S Wild, Pierre E Morange, Pim van der Harst, Qiong Yang, Ngoc‐Quynh Le, Riccardo Marioni, Ruifang Li, Scott M Damrauer, Simon R Cox, Stella Trompet, Stephan B Felix, Uwe Völker, Weihong Tang, Wolfgang Koenig, J. Wouter Jukema, Xiuqing Guo, Sara Lindstrom, Lu Wang, Erin N Smith, William Gordon, Mariza de Andrade, Jennifer A Brody, Jack W Pattee, Jeffrey Haessler, Ben M Brumpton, Daniel I Chasman, Pierre Suchon, Constance Turman, Marine Germain, James MacDonald, Sigrid K Braekkan, Sebastian M Armasu, Rabecca D Jackson, Jonas B Nielsen, Franco Giulianini, Marja K Puurunen, Manal Ibrahim, Susan R Heckbert, Theo K Bammler, Kelly A Frazer, Bryan M McCauley, Kent Taylor, James S Pankow, Alexander P Reiner, Maiken E Gabrielsen, Jean‐François Deleuze, Chris J O’Donnell, Jihye Kim, Peter Kraft, John‐Bjarne Hansen, John A Heit, Charles Kooperberg, Kristian Hveem, Paul M Ridker, Pierre‐Emmanuel Morange, Andrew D Johnson, Christopher Kabrhel, David‐Alexandre Trégouët, Rainer Malik, Ganesh Chauhan, Matthew Traylor, Muralidharan Sargurupremraj, Yukinori Okada, Aniket Mishra, Loes Rutten‐Jacobs, Anne‐Katrin Giese, Sander W van der Laan, Solveig Gretarsdottir, Christopher D Anderson, Michael Chong, Hieab HH Adams, Tetsuro Ago, Peter Almgren, Philippe Amouyel, Hakan Ay, Traci M Bartz, Oscar R Benavente, Steve Bevan, Giorgio B Boncoraglio, Robert D Brown, Adam S Butterworth, Caty Carrera, Cara L Carty, Wei‐Min Chen, John W Cole, Adolfo Correa, Ioana Cotlarciuc, Carlos Cruchaga, John Danesh, Paul IW de Bakker, Anita L DeStefano, Marcel den Hoed, Qing Duan, Stefan T Engelter, Guido J Falcone, Rebecca F Gottesman, Raji P Grewal, Vilmundur Gudnason, Stefan Gustafsson, Tamara B Harris, Ahamad Hassan, Aki S Havulinna, Elizabeth G Holliday, George Howard, Fang‐Chi Hsu, Hyacinth I Hyacinth, M Arfan Ikram, Erik Ingelsson, Marguerite R Irvin, Xueqiu Jian, Jordi Jiménez‐Conde, Julie A Johnson, J Wouter Jukema, Masahiro Kanai, Keith L Keene, Brett M Kissela, Dawn O Kleindorfer, Michiaki Kubo, Leslie A Lange, Carl D Langefeld, Claudia Langenberg, Lenore J Launer, Jin‐Moo Lee, Robin Lemmens, Didier Leys, Cathryn M Lewis, Wei‐Yu Lin, Arne G Lindgren, Erik Lorentzen, Patrik K Magnusson, Jane Maguire, Ani Manichaikul, Patrick F McArdle, James F Meschia, Braxton D Mitchell, Thomas H Mosley, Michael A Nalls, Toshiharu Ninomiya, Martin J O’Donnell, Sara L Pulit, Kristiina Rannikmäe, Kathryn M Rexrode, Kenneth Rice, Stephen S Rich, Natalia S Rost, Peter M Rothwell, Tatjana Rundek, Ralph L Sacco, Saori Sakaue, Michele M Sale, Veikko Salomaa, Bishwa R Sapkota, Reinhold Schmidt, Carsten O Schmidt, Ulf Schminke, Pankaj Sharma, Agnieszka Slowik, Cathie LM Sudlow, Christian Tanislav, Turgut Tatlisumak, Kent D Taylor, Vincent NS Thijs, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Steffen Tiedt, Christophe Tzourio, Cornelia M van Duijn, Matthew Walters, Nicholas J Wareham, Sylvia Wassertheil‐Smoller, James G Wilson, Salim Yusuf, Najaf Amin, Hugo S Aparicio, Donna K Arnett, John Attia, Alexa S Beiser, Claudine Berr, Julie E Buring, Mariana Bustamante, Valeria Caso, Yu‐Ching Cheng, Seung Hoan Choi, Ayesha Chowhan, Natalia Cullell, Jean‐François Dartigues, Hossein Delavaran, Pilar Delgado, Marcus Dörr, Gunnar Engström, Ian Ford, Wander S Gurpreet, Anders Hamsten, Laura Heitsch, Atsushi Hozawa, Laura Ibanez, Andreea Ilinca, Martin Ingelsson, Motoki Iwasaki, Rebecca D Jackson, Katarina Jood, Pekka Jousilahti, Sara Kaffashian, Lalit Kalra, Masahiro Kamouchi, Takanari Kitazono, Olafur Kjartansson, Manja Kloss, Peter J Koudstaal, Jerzy Krupinski, Daniel L Labovitz, Cathy C Laurie, Christopher R Levi, Linxin Li, Lars Lind, Cecilia M Lindgren, Vasileios Lioutas, Yong Mei Liu, Oscar L Lopez, Hirata Makoto, Nicolas Martinez‐Majander, Koichi Matsuda, Naoko Minegishi, Joan Montaner, Andrew P Morris, Elena Muiño, Martina Müller‐Nurasyid, Bo Norrving, Soichi Ogishima, Eugenio A Parati, Leema Reddy Peddareddygari, Nancy L Pedersen, Joanna Pera, Markus Perola, Alessandro Pezzini, Silvana Pileggi, Raquel Rabionet, Iolanda Riba‐Llena, Marta Ribasés, Jose R Romero, Jaume Roquer, Anthony G Rudd, Antti‐Pekka Sarin, Ralhan Sarju, Chloe Sarnowski, Makoto Sasaki, Claudia L Satizabal, Mamoru Satoh, Naveed Sattar, Norie Sawada, Gerli Sibolt, Ásgeir Sigurdsson, Albert Smith, Kenji Sobue, Carolina Soriano‐Tárraga, Tara Stanne, O Colin Stine, David J Stott, Konstantin Strauch, Takako Takai, Hideo Tanaka, Kozo Tanno, Alexander Teumer, Liisa Tomppo, Nuria P Torres‐Aguila, Emmanuel Touze, Shoichiro Tsugane, Andre G Uitterlinden, Einar M Valdimarsson, Sven J van der Lee, Henry Völzke, Kenji Wakai, David Weir, Stephen R Williams, Charles DA Wolfe, Quenna Wong, Huichun Xu, Taiki Yamaji, Dharambir K Sanghera, Olle Melander, Christina Jern, Daniel Strbian, Israel Fernandez‐Cadenas, W T Longstreth, Arndt Rolfs, Jun Hata, Daniel Woo, Jonathan Rosand, Guillaume Pare, Jemma C Hopewell, Danish Saleheen, Kari Stefansson, Bradford B Worrall, Steven J Kittner, Sudha Seshadri, Myriam Fornage, Hugh S Markus, Joanna MM Howson, Yoichiro Kamatani, Stephanie Debette, Martin Dichgans, and VU University medical center
Subjects: Hemostasis, genome-wide association study, genetic pleiotropy, Hematology, Polymorphism, Single Nucleotide, Hemostatics, blood coagulation, cardiovascular diseases, Phenotype, Cardiovascular Diseases, Tissue Plasminogen Activator, hemostasis, Humans, Genetic Predisposition to Disease, Factor XI, Genome-Wide Association Study
Abstract: Background: Multi-phenotype analysis of genetically correlated phenotypes can increase the statistical power to detect loci associated with multiple traits, leading to the discovery of novel loci. This is the first study to date to comprehensively analyze the shared genetic effects within different hemostatic traits, and between these and their associated disease outcomes. Objectives: To discover novel genetic associations by combining summary data of correlated hemostatic traits and disease events. Methods: Summary statistics from genome wide-association studies (GWAS) from seven hemostatic traits (factor VII [FVII], factor VIII [FVIII], von Willebrand factor [VWF] factor XI [FXI], fibrinogen, tissue plasminogen activator [tPA], plasminogen activator inhibitor 1 [PAI-1]) and three major cardiovascular (CV) events (venous thromboembolism [VTE], coronary artery disease [CAD], ischemic stroke [IS]), were combined in 27 multi-trait combinations using metaUSAT. Genetic correlations between phenotypes were calculated using Linkage Disequilibrium Score Regression (LDSC). Newly associated loci were investigated for colocalization. We considered a significance threshold of 1.85 × 10−9 obtained after applying Bonferroni correction for the number of multi-trait combinations performed (n = 27). Results: Across the 27 multi-trait analyses, we found 4 novel pleiotropic loci (XXYLT1, KNG1, SUGP1/MAU2, TBL2/MLXIPL) that were not significant in the original individual datasets, were not described in previous GWAS for the individual traits, and that presented a common associated variant between the studied phenotypes. Conclusions: The discovery of four novel loci contributes to the understanding of the relationship between hemostasis and CV events and elucidate common genetic factors between these traits.
Published: 2022

11. 731-P: Metabolite Biomarkers and Cardiovascular Events in REWIND: A Post Hoc Analysis

Author: VALENTINA PIRRO, GUILLAUME PARE, SHUN FU LEE, HELEN M. COLHOUN, YANZHU LIN, JONATHAN M. WILSON, HUI-RONG QIAN, ANASTASIA HOOVER, KEVIN L. DUFFIN, and HERTZEL C. GERSTEIN
Subjects: Endocrinology, Diabetes and Metabolism, Internal Medicine
Abstract: Dulaglutide (DU) reduced the risk of CV outcomes compared with placebo (PL) in the REWIND trial (NCT01394952) , with a MACE-3 (major adverse CV events) hazard ratio of 0.88 over 5.4 years. Participants were ≥50 years of age with T2D, A1C ≤9.5%, BMI ≥23 kg/m2, and CV risk and received either DU (1.5 mg weekly) or PL. This post-hoc analysis explored the hypothesized relationship between metabolite biomarkers and MACE-3 in a nested case-control substudy comprising 600 MACE cases and 6non-MACE REWIND participants. A total of 135 plasma metabolites were measured by targeted metabolomics using mass spectrometry. Biomarkers significantly associated with DU were first identified in analyses that adjusted for 135 multiple comparisons (discovery approach) . Predefined clusters of the remainder based on non-REWIND data were then assessed using principal component analyses (hypothesis testing) . DU was associated with 2-year changes in 2-hydroxybutyric acid, threonine, acylcarnitines and homocitrulline; of these, only the acylcarnitines were linked with MACE (Table) . In the literature, higher levels of acylcarnitines are associated with CV events. These analyses suggest that DU-associated reductions in acylcarnitines are associated with its MACE benefit. Disclosure V.Pirro: Employee; Eli Lilly and Company, Stock/Shareholder; Eli Lilly and Company. H.C.Gerstein: Advisory Panel; Abbott, Eli Lilly and Company, Hanmi Pharm. Co., Ltd., Novo Nordisk, Pfizer Inc., Sanofi, Viatris Inc., Consultant; Kowa Company, Ltd., Other Relationship; DKSH, Eli Lilly and Company, Sanofi, Zuellig Pharma Holdings Pte. Ltd., Research Support; AstraZeneca, Eli Lilly and Company, Merck & Co., Inc., Novo Nordisk, Sanofi. G.Pare: Advisory Panel; Amgen Inc., Bayer AG, Sanofi, Research Support; Bayer AG. S.Lee: None. H.M.Colhoun: Advisory Panel; Bayer AG, Eli Lilly and Company, Novo Nordisk, Consultant; AstraZeneca, Research Support; AstraZeneca, Stock/Shareholder; Bayer AG, Roche Pharmaceuticals. Y.Lin: Employee; Eli Lilly and Company, Stock/Shareholder; Eli Lilly and Company. J.M.Wilson: Employee; Eli Lilly and Company. H.Qian: Employee; Eli Lilly and Company, Stock/Shareholder; Apple, Eli Lilly and Company. A.Hoover: Employee; Eli Lilly and Company. K.L.Duffin: Employee; Eli Lilly and Company, Stock/Shareholder; Eli Lilly and Company, Pfizer Inc. Funding Eli Lilly and Company
Published: 2022

12. 1102-P: Identifying Blood Biomarkers for Type 2 Diabetes Subtyping: A Report from the ORIGIN Trial

Author: MARIE PIGEYRE, HERTZEL C. GERSTEIN, LEIF GROOP, SIBYLLE HESS, and GUILLAUME PARE
Subjects: Endocrinology, Diabetes and Metabolism, Internal Medicine
Abstract: Diabetes (DM) can be classified into 5 subtypes characterized by distinct progression in dysglycaemia and complications. Using 5 clinical variables, we categorized 7017 participants from the Outcome Reduction with an Initial Glargine Intervention (ORIGIN) trial into 1/auto-immune DM (n=241) , 2/insulin-deficient DM (n=1594) , 3/insulin-resistant DM (n=914) , 4/obesity-related DM (n=1595) , 5/age-related DM (n=2673) .Yet, whether blood biomarkers are associated with these subtypes is unknown. Forward-selection logistic regression models were used to identify biomarkers that were each independent determinant of one cluster versus the others, among 233 selected cardiometabolic proteins measured at baseline. Models were adjusted for age, sex, ethnicity, C-peptide level, diabetes duration. A total of 13, 2, 7 and biomarkers were independent determinants of DM subtypes 2 to 5 respectively (all P Disclosure M.Pigeyre: n/a. H.C.Gerstein: Advisory Panel; Abbott, Eli Lilly and Company, Hanmi Pharm. Co., Ltd., Novo Nordisk, Pfizer Inc., Sanofi, Viatris Inc., Consultant; Kowa Company, Ltd., Other Relationship; DKSH, Eli Lilly and Company, Sanofi, Zuellig Pharma Holdings Pte. Ltd., Research Support; AstraZeneca, Eli Lilly and Company, Merck & Co., Inc., Novo Nordisk, Sanofi. L.Groop: None. S.Hess: Employee; Sanofi. G.Pare: Advisory Panel; Amgen Inc., Bayer AG, Sanofi, Research Support; Bayer AG. Funding NCT00069784 Canadian Institute of Health Research Sanofi
Published: 2022

13. 725-P: Protein Biomarkers Associated with Dulaglutide and Cardiovascular Events in REWIND

Author: JONATHAN M. WILSON, GUILLAUME PARE, SHUN FU LEE, HELEN M. COLHOUN, HUI-RONG QIAN, VALENTINA PIRRO, ANASTASIA HOOVER, MARK LAKSHMANAN, GIACOMO RUOTOLO, KEVIN L. DUFFIN, and HERTZEL C. GERSTEIN
Subjects: Endocrinology, Diabetes and Metabolism, Internal Medicine
Abstract: In the REWIND trial, dulaglutide (DU) reduced the risk of CV outcomes compared with placebo (PL) (Major Adverse Cardiovascular Event [MACE]-3 hazard ratio 0.88) . This post hoc analysis studied circulating protein biomarkers associated with CV events to better understand how DU reduces CV risk. Patients ≥50 years of age with T2D, A1C ≤9.5%, BMI ≥23 kg/m2, and CV risk were treated DU (1.5 mg weekly) or PL. This case/control study matched 9 cases with MACE with 9 non-MACE controls. A total of protein biomarkers were measured by immunoassay in plasma and serum. Biomarkers associated with DU were first identified by fitting the natural log (ln) of biomarker changes from baseline to 2 years of treatment to an ANCOVA model; the p value cutoff was 0.0026 after Bonferroni correction. Then, the identified biomarkers were fit to a logistic regression model for MACE case/control to test possible impact on CV outcome. Four biomarkers were associated with DU: C-reactive protein (hsCRP) , N-terminal prohormone of brain natriuretic peptide (NT-proBNP) , and Growth/Differentiation Factor-15 (GDF-15) had attenuated increases over 2 years for DU vs. PL, and C-peptide had a greater increase over 2 years for DU vs. PL. Logistic regression analyses showed that patients with smaller increases in hsCRP, NT-proBNP, and GDF-15 were less likely to have MACE. C-peptide levels did not significantly impact MACE occurrence. Disclosure J.M.Wilson: Employee; Eli Lilly and Company. K.L.Duffin: Employee; Eli Lilly and Company, Stock/Shareholder; Eli Lilly and Company, Pfizer Inc. H.C.Gerstein: Advisory Panel; Abbott, Eli Lilly and Company, Hanmi Pharm. Co., Ltd., Novo Nordisk, Pfizer Inc., Sanofi, Viatris Inc., Consultant; Kowa Company, Ltd., Other Relationship; DKSH, Eli Lilly and Company, Sanofi, Zuellig Pharma Holdings Pte. Ltd., Research Support; AstraZeneca, Eli Lilly and Company, Merck & Co., Inc., Novo Nordisk, Sanofi. G.Pare: Advisory Panel; Amgen Inc., Bayer AG, Sanofi, Research Support; Bayer AG. S.Lee: None. H.M.Colhoun: Advisory Panel; Bayer AG, Eli Lilly and Company, Novo Nordisk, Consultant; AstraZeneca, Research Support; AstraZeneca, Stock/Shareholder; Bayer AG, Roche Pharmaceuticals. H.Qian: Employee; Eli Lilly and Company, Stock/Shareholder; Apple, Eli Lilly and Company. V.Pirro: Employee; Eli Lilly and Company, Stock/Shareholder; Eli Lilly and Company. A.Hoover: Employee; Eli Lilly and Company. M.Lakshmanan: Employee; Eli Lilly and Company, Stock/Shareholder; Eli Lilly and Company. G.Ruotolo: None. Funding Eli Lilly and Company
Published: 2022

14. MO048: Genome-wide studies reveal factors associated with circulating uromodulin and its relations with complex diseases

Author: Yong LI, Yurong Cheng, Francesco Consolato, Guglielmo Schiano, Michael Chong, Maik Pietzner, Ngoc Quynh Nguyen, Nora Scherer, Mary Biggs, Marcus E Kleber, Stefan Haug, Burulça Göçmen, Marie Pigeyre, Peggy Sekula, Inga Steinbrenner, Pascal Schlosser, Christina Joseph, Jennifer Brody, Morgan Grams, Caroline Hayward, Ulla T Schultheiß, Bernhard Kraemer, Florian Kronenberg, Annette Peters, Jochen Seissler, Dominik Steubl, Cornelia Then, Matthias Wuttke, Winfried Maerz, Kai-Uwe Eckardt, Christian Gieger, Eric Boerwinkle, Bruce Psaty, Josef Coresh, Peter Oefner, Guillaume Pare, Claudia Langenberg, Juergen E Scherberich, Bing Yu, Shreeram Akilesh, Olivier Devuyst, Luca Rampoldi, and Anna Köttgen
Subjects: Transplantation, Nephrology
Abstract: BACKGROUND AND AIMS UMOD is a major risk gene for monogenic and complex forms of kidney disease. The encoded kidney-specific protein uromodulin is the most abundant protein in urine and related to chronic kidney disease, hypertension and pathogen defense. Through basolateral release from kidney epithelial cells, uromodulin also reaches the blood, where its function is largely unknown. To gain insights into potential systemic roles, we performed genome-wide screens of circulating uromodulin in seven cohorts using two complementary assays. METHOD Separate genome-wide association study meta-analyses for circulating uromodulin were conducted for the antibody-based assay (five cohorts, N = 13 985) and the aptamer-based SOMAscan assay (two cohorts, N = 18 070). Genome-wide significant loci were placed into their functional genomic context using RNA-seq, ATAC-seq and Hi-C data generated from primary human kidney tissue. An array of downstream genetic analyses was then performed for significant loci, including fine-mapping, colocalization analyses and gene-by-gene interaction analyses. The B4GALNT2 p.Cys466Arg allele was expressed in MDCK cells and studied by immunofluorescence and Western blotting analyses. RESULTS We detected and replicated 13 genome-wide significant loci (P CONCLUSION This study provides human genetic evidence of new pathway members of uromodulin and delivers novel insights into its determinants and systemic role in the circulation.
Published: 2022

15. Genome-wide studies reveal factors associated with circulating uromodulin and its relationships to complex diseases

Author: Yong Li, Yurong Cheng, Francesco Consolato, Guglielmo Schiano, Michael R. Chong, Maik Pietzner, Ngoc Quynh H. Nguyen, Nora Scherer, Mary L. Biggs, Marcus E. Kleber, Stefan Haug, Burulça Göçmen, Marie Pigeyre, Peggy Sekula, Inga Steinbrenner, Pascal Schlosser, Christina B. Joseph, Jennifer A. Brody, Morgan E. Grams, Caroline Hayward, Ulla T. Schultheiss, Bernhard K. Krämer, Florian Kronenberg, Annette Peters, Jochen Seissler, Dominik Steubl, Cornelia Then, Matthias Wuttke, Winfried März, Kai-Uwe Eckardt, Christian Gieger, Eric Boerwinkle, Bruce M. Psaty, Josef Coresh, Peter J. Oefner, Guillaume Pare, Claudia Langenberg, Jürgen E. Scherberich, Bing Yu, Shreeram Akilesh, Olivier Devuyst, Luca Rampoldi, Anna Köttgen, Pietzner, Maik [0000-0003-3437-9963], Langenberg, Claudia [0000-0002-5017-7344], and Apollo - University of Cambridge Repository
Subjects: ddc:610, Population genetics, Chronic kidney disease, Genetics, Nephrology, 610 Medizin, Blood Pressure, General Medicine, FOS: Biological sciences, Hypertension, Uromodulin, Humans, Renal Insufficiency, Chronic, Genome-Wide Association Study
Abstract: UMOD is a major risk gene for monogenic and complex forms of kidney disease. The encoded kidney-specific protein uromodulin is highly abundant in urine and related to chronic kidney disease, hypertension, and pathogen defense. To gain insights into potential systemic roles, we performed genome-wide screens of circulating uromodulin using complementary antibody-based (N=13,985) and aptamer-based (N=18,070) assays. We detected 3 and 10 distinct significant (p
Published: 2022
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16. Physical activity and sedentary behavior; mechanistic insights and role in disease prevention

Author: Marcel den Hoed, Zhe Wang, Andrew Emmerich, Nicolas Pillon, Timothy Moore, Daiane Hemerich, Marilyn Cornelis, Eugenia Mazzaferro, Siacia Broos, Adam Ameur, Stefania Bandinelli, Joshua Bis, Michael Boehnke, Claude Bouchard, Daniel Chasman, Eco de Geus, Louise Deldicque, Marcus Dörr, Michele Evans, Luigi Ferrucci, Myriam Fornage, Caroline Fox, Theodore Garland, Ulf Gyllensten, Torben Hansen, Caroline Hayward, Bernardo Horta, Elina Hypponen, W. Craig Johnson, Sharon Kardia, Lambertus Kiemeney, Markku Laakso, Claudia Langenberg, Terho Lehtimäki, Loic Le Marchand, Patrik Magnusson, Nicholas Martin, Mads Melbye, Andres Metspalu, David Meyre, Kari North, Claes Ohlsson, Albertine Oldehinkel, Marju Orho-Melander, Guillaume Pare, Taesung Park, Oluf Pedersen, Brenda Penninx, Tune Pers, Ozren Polasek, Inga Prokopenko, Charles Rotimi, Nilesh Samani, Xueling Sim, George Davey Smith, Harold Snieder, Thorkild Sorensen, Tim Spector, Nicholas Timpson, Rob van Dam, Nathalie van der Velde, Peter Vollenweider, Henry Völzke, Trudy Voortman, Gerard Waeber, Nick Wareham, David Weir, Erich Wichmann, James Wilson, Andrea Hevener, Anna Krook, Juleen Zierath, Martine Thomis, and Ruth Loos
Abstract: Even though physical activity and sedentary behavior are moderately heritable, little is known about the mechanisms that influence these traits. Here, we combine data for up to 674,980 individuals from 51 studies in a trans-ancestry meta-analysis of genome-wide association studies for self-reported moderate-to-vigorous intensity physical activity during leisure time (MVPA); leisure screen time (LST); sedentary commuting; and sedentary behavior at work. We identify 99 loci that associate with at least one trait. Loci associated with LST are enriched for genes whose expression in skeletal muscle is altered by resistance training. Molecular dynamics simulations suggest that the Glu to Ala substitution encoded by rs2229456 (ACTN3) – associated with more MVPA – disrupts salt bridge interactions and makes the alpha actinin 3 filaments more flexible. In isolated type IIA muscle fibers, the Ala-encoding allele is associated with lower maximal force and power during an isometric contraction, suggesting protection from exercise-induced muscle damage. Finally, Mendelian Randomization analyses show that the causal effect of LST on BMI is 2-3 times larger than the effect of body mass index (BMI) on LST, and that beneficial effects of LST and MVPA on several risk factors and diseases are mediated or confounded by BMI. Taken together, our results provide mechanistic insights into the regulation of MVPA and into the role of LST and MVPA in disease prevention. These insights may facilitate the development of tailored physical activity interventions.
Published: 2021

17. Polygenic risk score for Alzheimer’s disease in Caribbean Hispanics

Author: Sanjeev Sariya, Daniel Felsky, Ricky Lali, Dolly Reyes‐Dumeyer, Rafael A Lantigua, Adam M. Brickman, Jennifer J Manly, Badri N. Vardarajan, Ivonne Z. Jiménez‐Velázquez, Guillaume Pare, Richard Mayeux, and Giuseppe Tosto
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published: 2021

18. Cohort profile: genomic data for 26 622 individuals from the Canadian Longitudinal Study on Aging (CLSA)

Author: Vincenzo Forgetta, Rui Li, Corinne Darmond-Zwaig, Alexandre Belisle, Cynthia Balion, Delnaz Roshandel, Christina Wolfson, Guillaume Lettre, Guillaume Pare, Andrew D Paterson, Lauren E Griffith, Chris Verschoor, Mark Lathrop, Susan Kirkland, Parminder Raina, J Brent Richards, and Jiannis Ragoussis
Subjects: Male, Aging, Canada, Humans, Female, Glaucoma, Genomics, Longitudinal Studies, General Medicine
Abstract: PurposeThe Canadian Longitudinal Study on Aging (CLSA) Comprehensive cohort was established to provide unique opportunities to study the genetic and environmental contributions to human disease as well as ageing process. The aim of this report was to describe the genomic data included in CLSA.ParticipantsA total of 26 622 individuals from the CLSA Comprehensive cohort of men and women aged 45–85 recruited between 2010 and 2015 underwent genome-wide genotyping of DNA samples collected from blood. Comprehensive quality control metrics were measured for genetic markers and samples, respectively. The genotypes were imputed to the TOPMed reference panel. Sex chromosome abnormalities were identified by copy number profiling. Classical human leukocyte antigen gene haplotypes were imputed at two-field (four-digit).Findings to dateOf the 26 622 genotyped participants, 24 655 (92.6%) were identified as having European ancestry. These genomic data were linked to physical, lifestyle, medical, economic, environmental and psychosocial factors collected longitudinally in CLSA. The combined analysis, including CLSA genomic data, uncovered over 100 novel loci associated with key parameters to define glaucoma. The CLSA genomic dataset validated the contribution of a polygenic risk score to screen individuals with high fracture risk. It is also a valuable resource to directly identify common genetic variations associated with conditions related to complex traits. Taking advantage of the comprehensive interview and physical information collected in CLSA, this genomic dataset has been linked to psychosocial factors to investigate both the independent and interactive effects on cardiovascular disease.Future plansThe CLSA overall is ongoing. Follow-up data will continue to be collected from participants in the current genomic subcohort, including the DNA methylation and metabolomic data. Ongoing studies focus on elucidating the role of genetic factors in cognitive decline and cardiovascular diseases. This genomic data resource is available on request through the CLSA data access application process.
Published: 2022

19. Novel Outcome Biomarkers Identified With Targeted Proteomic Analyses of Plasma From Critically Ill Coronavirus Disease 2019 Patients

Author: Douglas D. Fraser, MD, PhD, Gediminas Cepinskas, DVM, PhD, Eric K. Patterson, PhD, Marat Slessarev, MD, MSc, Claudio Martin, MD, MSc, Mark Daley, PhD, Maitray A. Patel, BSc, Michael R. Miller, PhD, David B. O’Gorman, PhD, Sean E. Gill, PhD, Guillaume Pare, MD, MSc, Ioannis Prassas, PhD, Eleftherios Diamandis, MD, PhD, on behalf of the Lawson COVID19 Study Team, Robert Arntfield, Ian Ball, Gordon Barkwell, Tracey Bentall, Karen Bosma, Saoirse Cameron, Eileen Campbell, David Carter, Carolina Gillio-Meina, Robert Hegele, Natalya Odoardi, Ram Singh, Kelly Summers, and Sue Tereschyn
Subjects: medicine.medical_specialty, Cluster of differentiation, Coronavirus disease 2019 (COVID-19), business.industry, Critically ill, RC86-88.9, Mortality rate, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Interleukin, biomarkers, Medical emergencies. Critical care. Intensive care. First aid, General Medicine, Intensive care unit, intensive care unit, Pathophysiology, law.invention, coronavirus disease 2019, law, inflammation, Internal medicine, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Medicine, host response, business, Original Clinical Report
Abstract: Supplemental Digital Content is available in the text., Objectives: Coronavirus disease 2019 patients admitted to the ICU have high mortality. The host response to coronavirus disease 2019 has only been partially elucidated, and prognostic biomarkers have not been identified. We performed targeted proteomics on critically ill coronavirus disease 2019 patients to better understand their pathophysiologic mediators and to identify potential outcome markers. Design: Blood was collected at predetermined ICU days for proximity extension assays to determine the plasma concentrations of 1,161 proteins. Setting: Tertiary care ICU and academic laboratory. Subjects: All patients admitted to the ICU suspected of being infected with severe acute respiratory syndrome coronavirus 2, using standardized hospital screening methodologies, had blood samples collected until either testing was confirmed negative on ICU day 3 (coronavirus disease 2019 negative) or until ICU day 10 if the patient positive (coronavirus disease 2019 positive). Interventions: None. Measurements and Main Results: Age- and sex-matched healthy control subjects and ICU patients who were either coronavirus disease 2019 positive or coronavirus disease 2019 negative were enrolled. Cohorts were well-balanced with the exception that coronavirus disease 2019 positive patients suffered bilateral pneumonia more frequently than coronavirus disease 2019 negative patients. Mortality rate for coronavirus disease 2019 positive ICU patients was 40%. Feature selection identified the top performing proteins for identifying coronavirus disease 2019 positive ICU patients from both healthy control subjects and coronavirus disease 2019 negative ICU patients (classification accuracies 100%). The coronavirus disease 2019 proteome was dominated by interleukins and chemokines, as well as several membrane receptors linked to lymphocyte-associated microparticles and/or cell debris. Mortality was predicted for coronavirus disease 2019 positive patients based on plasma proteome profiling on both ICU day 1 (accuracy 92%) and ICU day 3 (accuracy 83%). Promising prognostic proteins were then narrowed down to six, each of which provided excellent classification performance for mortality when measured on ICU day 1 CMRF-35-like molecule, interleukin receptor-12 subunit B1, cluster of differentiation 83 [CD83], family with sequence similarity 3, insulin-like growth factor 1 receptor and opticin; area-under-the-curve =1.0; p = 0.007). Conclusions: Targeted proteomics with feature classification easily distinguished both healthy control subjects and coronavirus disease 2019 tested negative ICU patients from coronavirus disease 2019 tested positive ICU patients. Multiple proteins were identified that accurately predicted coronavirus disease 2019 tested positive patient mortality.
Published: 2020

20. Implications of OPRM1 and CYP2B6 variants on treatment outcomes in methadone-maintained patients in Ontario: Exploring sex differences

Author: Caroul Chawar, Alannah Hillmer, Amel Lamri, Flavio Kapczinski, Lehana Thabane, Guillaume Pare, and Zainab Samaan
Subjects: Male, Heredity, Physiology, Single Nucleotide Polymorphisms, Receptors, Opioid, mu, Linkage Disequilibrium, 0302 clinical medicine, Drug Metabolism, Gene Frequency, Recurrence, Medicine and Health Sciences, Ethnicities, Ontario, Analgesics, Sex Characteristics, Multidisciplinary, Drugs, Genomics, Body Fluids, Analgesics, Opioid, Blood, Treatment Outcome, Medicine, Female, Anatomy, Research Article, Adult, Genotype, Substance-Related Disorders, Science, Polymorphism, Single Nucleotide, Blood Plasma, 03 medical and health sciences, Sex Factors, Genetics, Genome-Wide Association Studies, Opiate Substitution Treatment, Pain Management, Humans, Pharmacokinetics, Alleles, Pharmacology, Biology and Life Sciences, Computational Biology, Human Genetics, Genome Analysis, Opioid-Related Disorders, 030227 psychiatry, Opioids, Cytochrome P-450 CYP2B6, People and Places, Population Groupings, Methadone, 030217 neurology & neurosurgery
Abstract: Genetic variants in the OPRM1 and CYP2B6 genes, respectively coding for an opioid receptor and methadone metabolizers, have been linked to negative treatment outcomes in patients undergoing methadone maintenance treatment, with little consensus on their effect. This study aims to test the associations between pre-selected SNPs of OPRM1 and CYP2B6 and outcomes of continued opioid use, relapse, and methadone dose. It also aims to observe differences in associations within the sexes. 1,172 participants treated with methadone (nMale = 666, nFemale = 506) were included in this study. SNPs rs73568641 and rs7451325 from OPRM1 and all the tested CYP2B6 SNPs were detected to be in high linkage disequilibrium. Though no associations were found to be significant, noteworthy differences were observed in associations of OPRM1 rs73568641 and CYP2B6 rs3745274 with treatment outcomes between males and females. Further research is needed to determine if sex-specific differences are present.
Published: 2021

21. Serum magnesium and calcium levels in relation to ischemic stroke Mendelian randomization study

Author: Susanna C. Larsson, Matthew Traylor, Stephen Burgess, Giorgio B. Boncoraglio, Christina Jern, Karl Michaëlsson, Hugh S. Markus, Rainer Malik, Ganesh Chauhan, Muralidharan Sargurupremraj, Yukinori Okada, Aniket Mishra, Loes Rutten-Jacobs, Anne-Katrin Giese, Sander W van der Laan, Solveig Gretarsdottir, Christopher D Anderson, Michael Chong, Hieab HH Adams, Tetsuro Ago, Peter Almgren, Philippe Amouyel, Hakan Ay, raci M Bartz, Oscar R Benavente, Steve Bevan, Giorgio B Boncoraglio, Robert D Brown, Adam S Butterworth, Caty Carrera, Cara L Carty, Daniel I Chasman, Wei-Min Chen, John W Cole, Adolfo Correa, Ioana Cotlarciuc, Carlos Cruchaga, John Danesh, Paul IW de Bakker, Anita L DeStefano, Marcel den Hoed, Qing Duan, Stefan T Engelter, Guido J Falcone, Rebecca F Gottesman, Raji P Grewal, Vilmundur Gudnason, Stefan Gustafsson, Jeffrey Haessler, Tamara B Harris, Ahamad Hassan, Aki S Havulinna, Susan R Heckbert, Elizabeth G Holliday, George Howard, Fang-Chi Hsu, Hyacinth I Hyacinth, M Arfan Ikram, Erik Ingelsson, Marguerite R Irvin, Xueqiu Jian, Jordi Jiménez-Conde, Julie A Johnson, J Wouter Jukema, Masahiro Kanai, Keith L Keene, Brett M Kissela, Dawn O Kleindorfer, Charles Kooperberg, Michiaki Kubo, Leslie A Lange, Carl D Langefeld, Claudia Langenberg, Lenore J Launer, Jin-Moo Lee, Robin Lemmens, Didier Leys, Cathryn M Lewis, Wei-Yu Lin, Arne G Lindgren, Erik Lorentzen, Patrik K Magnusson, Jane Maguire, Ani Manichaikul, Patrick F McArdle, James F Meschia, Braxton D Mitchell, Thomas H Mosley, Michael A Nalls, Toshiharu Ninomiya, Martin J O'Donnell, Bruce M Psaty, Sara L Pulit, Kristiina Rannikmäe, Alexander P Reiner, Kathryn M Rexrode, Kenneth Rice, Stephen S Rich, Paul M Ridker, Natalia S Rost, Peter M Rothwell, Jerome I Rotter, Tatjana Rundek, Ralph L Sacco, Saori Sakaue, Michele M Sale, Veikko Salomaa, Bishwa R Sapkota, Reinhold Schmidt, Carsten O Schmidt, Ulf Schminke, Pankaj Sharma, Agnieszka Slowik, Cathie LM Sudlow, Christian Tanislav, Turgut Tatlisumak, Kent D Taylor, Vincent NS Thijs, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Steffen Tiedt, Stella Trompet, Christophe Tzourio, Cornelia M van Duijn, Matthew Walters, Nicholas J Wareham, Sylvia Wassertheil-Smoller, James G Wilson, Kerri L Wiggins, Qiong Yang, Salim Yusuf, Najaf Amin, Hugo S Aparicio, Donna K Arnett, John Attia, Alexa S Beiser, Claudine Berr, Julie E Buring, Mariana Bustamante, Valeria Caso, Yu-Ching Cheng, Seung Hoan Choi, Ayesha Chowhan, Natalia Cullell, Jean-François Dartigues, Hossein Delavaran, Pilar Delgado, Marcus Dörr, Gunnar Engström, Ian Ford, Wander S Gurpreet, Anders Hamsten, Laura Heitsch, Atsushi Hozawa, Laura Ibanez, Andreea Ilinca, Martin Ingelsson, Motoki Iwasaki, Rebecca D Jackson, Katarina Jood, Pekka Jousilahti, Sara Kaffashian, Lalit Kalra, Masahiro Kamouchi, Takanari Kitazono, Olafur Kjartansson, Manja Kloss, Peter J Koudstaal, Jerzy Krupinski, Daniel L Labovitz, Cathy C Laurie, Christopher R Levi, Linxin Li, Lars Lind, Cecilia M Lindgren, Vasileios Lioutas, Yong Mei Liu, Oscar L Lopez, Hirata Makoto, Nicolas Martinez-Majander, Koichi Matsuda, Naoko Minegishi, Joan Montaner, Andrew P Morris, Elena Muiño, Martina Müller-Nurasyid, Bo Norrving, Soichi Ogishima, Eugenio A Parati, Leema Reddy Peddareddygari, Nancy L Pedersen, Joanna Pera, Markus Perola, Alessandro Pezzini, Silvana Pileggi, Raquel Rabionet, Iolanda Riba-Llena, Marta Ribasés, Jose R Romero, Jaume Roquer, Anthony G Rudd, Antti-Pekka Sarin, Ralhan Sarju, Chloe Sarnowski, Makoto Sasaki, Claudia L Satizabal, Mamoru Satoh, Naveed Sattar, Norie Sawada, Gerli Sibolt, Ásgeir Sigurdsson, Albert Smith, Kenji Sobue, Carolina Soriano-Tárraga, Tara Stanne, O Colin Stine, David J Stott, Konstantin Strauch, Takako Takai, Hideo Tanaka, Kozo Tanno, Alexander Teumer, Liisa Tomppo, Nuria P Torres-Aguila, Emmanuel Touze, Shoichiro Tsugane, Andre G Uitterlinden, Einar M Valdimarsson, Sven J van der Lee, Henry Völzke, Kenji Wakai, David Weir, Stephen R Williams, Charles DA Wolfe, Quenna Wong, Huichun Xu, Taiki Yamaji, Dharambir K Sanghera, Olle Melander, Daniel Strbian, Israel Fernandez-Cadenas, W T Longstreth, Arndt Rolfs, Jun Hata, Daniel Woo, Jonathan Rosand, Guillaume Pare, Jemma C Hopewell, Danish Saleheen, Kari Stefansson, Bradford B Worrall, Steven J Kittner, Sudha Seshadri, Myriam Fornage, Hugh S Markus, Joanna MM Howson, Yoichiro Kamatani, Stephanie Debette, Martin Dichgans, Berr, Claudine, Unit of Cardiovascular and Nutritional Epidemiology [Stockholm, Sweden], Karolinska Institutet [Stockholm]-Institute of Environmental Medicine [Stockholm, Sweden], Stroke Research Group [London, UK] (Department of Brain Repair and Rehabilitation), University of London - UCL [London, UK], MRC Biostatistics Unit [Cambridge, UK], University of Cambridge [UK] (CAM), Department of Public Health and Primary Care [Cambridge, UK] (Institute of Public Health), Fondazione IRCCS Istituto Neurologico 'Carlo Besta', Section of Clinical Immunology [Uppsala, Sweden] (Department of Immunology, Genetics and Pathology), Uppsala University, Department of Surgical Sciences [Uppsala, Sweden], This work was supported by the Swedish Research Council for Health, Working Life and Welfare (Forte) and the Swedish Research Council. Hugh Markus is supported by an NIHR Senior Investigator award. His and Matthew Traylor’s work is supported by infrastructural support from the Cambridge University Hospitals Trust NIHR Biomedical Research Centre., MEGASTROKE project of the International Stroke Genetics Consortium : Malik R, Chauhan G, Traylor M, Sargurupremraj M, Okada Y, Mishra A, Rutten-Jacobs L, Giese AK, van der Laan SW, Gretarsdottir S, Anderson CD, Chong M, Adams HH, Ago T, Almgren P, Amouyel P, Ay H, Bartz RM, Benavente OR, Bevan S, Boncoraglio GB, Brown RD Jr, Butterworth AS, Carrera C, Carty CL, Chasman DI, Chen WM, Cole JW, Correa A, Cotlarciuc I, Cruchaga C, Danesh J, de Bakker PI, DeStefano AL, Hoed MD, Duan Q, Engelter ST, Falcone GJ, Gottesman RF, Grewal RP, Gudnason V, Gustafsson S, Haessler J, Harris TB, Hassan A, Havulinna AS, Heckbert SR, Holliday EG, Howard G, Hsu FC, Hyacinth HI, Ikram MA, Ingelsson E, Irvin MR, Jian X, Jiménez-Conde J, Johnson JA, Jukema JW, Kanai M, Keene KL, Kissela BM, Kleindorfer DO, Kooperberg C, Kubo M, Lange LA, Langefeld CD, Langenberg C, Launer LJ, Lee JM, Lemmens R, Leys D, Lewis CM, Lin WY, Lindgren AG, Lorentzen E, Magnusson PK, Maguire J, Manichaikul A, McArdle PF, Meschia JF, Mitchell BD, Mosley TH, Nalls MA, Ninomiya T, O'Donnell MJ, Psaty BM, Pulit SL, Rannikmäe K, Reiner AP, Rexrode KM, Rice K, Rich SS, Ridker PM, Rost NS, Rothwell PM, Rotter JI, Rundek T, Sacco RL, Sakaue S, Sale MM, Salomaa V, Sapkota BR, Schmidt R, Schmidt CO, Schminke U, Sharma P, Slowik A, Sudlow CL, Tanislav C, Tatlisumak T, Taylor KD, Thijs VN, Thorleifsson G, Thorsteinsdottir U, Tiedt S, Trompet S, Tzourio C, van Duijn CM, Walters M, Wareham NJ, Wassertheil-Smoller S, Wilson JG, Wiggins KL, Yang Q, Yusuf S, Amin N, Aparicio HS, Arnett DK, Attia J, Beiser AS, Berr C, Buring JE, Bustamante M, Caso V, Cheng YC, Choi SH, Chowhan A, Cullell N, Dartigues JF, Delavaran H, Delgado P, Dörr M, Engström G, Ford I, Gurpreet WS, Hamsten A, Heitsch L, Hozawa A, Ibanez L, Ilinca A, Ingelsson M, Iwasaki M, Jackson RD, Jood K, Jousilahti P, Kaffashian S, Kalra L, Kamouchi M, Kitazono T, Kjartansson O, Kloss M, Koudstaal PJ, Krupinski J, Labovitz DL, Laurie CC, Levi CR, Li L, Lind L, Lindgren CM, Lioutas V, Liu YM, Lopez OL, Makoto H, Martinez-Majander N, Matsuda K, Minegishi N, Montaner J, Morris AP, Muiño E, Müller-Nurasyid M, Norrving B, Ogishima S, Parati EA, Peddareddygari LR, Pedersen NL, Pera J, Perola M, Pezzini A, Pileggi S, Rabionet R, Riba-Llena I, Ribasés M, Romero JR, Roquer J, Rudd AG, Sarin AP, Sarju R, Sarnowski C, Sasaki M, Satizabal CL, Satoh M, Sattar N, Sawada N, Sibolt G, Sigurdsson Á, Smith A, Sobue K, Soriano-Tárraga C, Stanne T, Stine OC, Stott DJ, Strauch K, Takai T, Tanaka H, Tanno K, Teumer A, Tomppo L, Torres-Aguila NP, Touze E, Tsugane S, Uitterlinden AG, Valdimarsson EM, van der Lee SJ, Völzke H, Wakai K, Weir D, Williams SR, Wolfe CD, Wong Q, Xu H, Yamaji T, Sanghera DK, Melander O, Jern C, Strbian D, Fernandez-Cadenas I, Longstreth WT Jr, Rolfs A, Hata J, Woo D, Rosand J, Pare G, Hopewell JC, Saleheen D, Stefansson K, Worrall BB, Kittner SJ, Seshadri S, Fornage M, Markus HS, Howson JM, Kamatani Y, Debette S, Dichgans M., Larsson, Susanna C [0000-0003-0118-0341], Apollo - University of Cambridge Repository, and Neurology
Subjects: medicine.medical_specialty, Neurology, Heredity, Neurologi, [SDV]Life Sciences [q-bio], chemistry.chemical_element, Calcium, Polymorphism, Single Nucleotide, Gastroenterology, Article, Brain Ischemia, Brain ischemia, 03 medical and health sciences, 0302 clinical medicine, Human genetics, Internal medicine, Mendelian randomization, Medicine, Humans, Magnesium, 030212 general & internal medicine, Stroke, Herència (Biologia), Genètica humana, business.industry, Neurosciences, Mendelian Randomization Analysis, Odds ratio, medicine.disease, Confidence interval, 3. Good health, [SDV] Life Sciences [q-bio], Intracranial Embolism, chemistry, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Neurology (clinical), business, 030217 neurology & neurosurgery, Neurovetenskaper
Abstract: Comment inThe yin and yang of magnesium and calcium: New genetic insights for stroke? [Neurology. 2019]; International audience; Objective To determine whether serum magnesium and calcium concentrations are causally associated with ischemic stroke or any of its subtypes using the mendelian randomization approach. Methods Analyses were conducted using summary statistics data for 13 single-nucleotide polymorphisms robustly associated with serum magnesium (n = 6) or serum calcium (n = 7) concentrations. The corresponding data for ischemic stroke were obtained from the MEGASTROKE consortium (34,217 cases and 404,630 noncases). Results In standard mendelian randomization analysis, the odds ratios for each 0.1 mmol/L (about 1 SD) increase in genetically predicted serum magnesium concentrations were 0.78 (95% confidence interval [CI] 0.69-0.89; p = 1.3 × 10 −4) for all ischemic stroke, 0.63 (95% CI 0.50-0.80; p = 1.6 × 10 −4) for cardioembolic stroke, and 0.60 (95% CI 0.44-0.82; p = 0.001) for large artery stroke; there was no association with small vessel stroke (odds ratio 0.90, 95% CI 0.67-1.20; p = 0.46). Only the association with cardioembolic stroke was robust in sensitivity analyses. There was no association of genetically predicted serum calcium concentrations with all ischemic stroke (per 0.5 mg/dL [about 1 SD] increase in serum calcium: odds ratio 1.03, 95% CI 0.88-1.21) or with any subtype. Conclusions This study found that genetically higher serum magnesium concentrations are associated with a reduced risk of cardioembolic stroke but found no significant association of genetically higher serum calcium concentrations with any ischemic stroke subtype.
Published: 2019

22. The Impact of Selection Bias on Estimation of Subsequent Event Risk

Author: Yi-Juan Hu, Amand F. Schmidt, Frank Dudbridge, Michael V. Holmes, James M. Brophy, Vinicius Tragante, Ziyi Li, Peizhou Liao, Arshed A. Quyyumi, Raymond O. McCubrey, Benjamin D. Horne, Aroon D. Hingorani, Folkert W. Asselbergs, Riyaz S. Patel, Qi Long, Axel Åkerblom, Ale Algra, Hooman Allayee, Peter Almgren, Jeffrey L. Anderson, Maria G. Andreassi, Chiara V. Anselmi, Diego Ardissino, Benoit J. Arsenault, Christie M. Ballantyne, Ekaterina V. Baranova, Hassan Behloui, Thomas O. Bergmeijer, Connie R. Bezzina, Eythor Bjornsson, Simon C. Body, Bram Boeckx, Eric (H.) Boersma, Eric Boerwinkle, Peter Bogaty, Peter S. Braund, Lutz P. Breitling, Hermann Brenner, Carlo Briguori, Jasper J. Brugts, Ralph Burkhardt, Vicky A. Cameron, John F. Carlquist, Clara Carpeggiani, Kathryn F. Carruthers, Gavino Casu, Gianluigi Condorelli, Sharon Cresci, Nicolas Danchin, Ulf de Faire, John Deanfield, Graciela Delgado, Panos Deloukas, Kenan Direk, Robert N. Doughty, Heinz Drexel, Nubia E. Duarte, Marie-Pierre Dubé, Line Dufresne, James C. Engert, Niclas Eriksson, Natalie Fitzpatrick, Luisa Foco, Ian Ford, Keith A.A. Fox, Bruna Gigante, Crystel M. Gijsberts, Domenico Girelli, Yan Gong, Daniel F. Gudbjartsson, Emil Hagström, Jaana Hartiala, Stanley L. Hazen, Claes Held, Anna Helgadottir, Harry Hemingway, Mahyar Heydarpour, Imo E. Hoefer, Kees Hovingh, Jaroslav A. Hubacek, Stefan James, Julie A. Johnson, J. Wouter Jukema, Marcin P. Kaczor, Karol A. Kaminski, Jiri Kettner, Marek Kiliszek, Marcus Kleber, Olaf H. Klungel, Daniel Kofink, Mika Kohonen, Salma Kotti, Pekka Kuukasjärvi, Bo Lagerqvist, Diether Lambrechts, Chim C. Lang, Jari O. Laurikka, Karin Leander, Vei-Vei Lee, Terho Lehtimäki, Andreas Leiherer, Petra A. Lenzini, Daniel Levin, Daniel Lindholm, Marja-Liisa Lokki, Paulo A. Lotufo, Leo-Pekka Lyytikäinen, B. Khan Mahmoodi, Anke H. Maitland-van der Zee, Nicola Martinelli, Winfried März, Nicola Marziliano, Ruth McPherson, Olle Melander, Ute Mons, Jochen D. Muehlschlegel, Joseph B. Muhlestein, Cristopher P. Nelson, Chris Newton Cheh, Oliviero Olivieri, Grzegorz Opolski, Colin N. Palmer, Guillaume Pare, Gerard Pasterkamp, Carl J. Pepine, Witold Pepinski, Alexandre C. Pereira, Anna P. Pilbrow, Louise Pilote, Jan Pitha, Rafal Ploski, A. Mark Richards, Christoph H. Saely, Nilesh J. Samani, Ayman Samman-Tahhan, Marek Sanak, Pratik B. Sandesara, Naveed Sattar, Markus Scholz, Agneta Siegbahn, Tabassome Simon, Juha Sinisalo, J. Gustav Smith, John A. Spertus, Kari Stefansson, Alexandre F.R. Stewart, David J. Stott, Wojciech Szczeklik, Anna Szpakowicz, Michael W.T. Tanck, Wilson H. Tang, Jean-Claude Tardif, Jur M. ten Berg, Andrej Teren, George Thanassoulis, Joachim Thiery, Gudmundur Thorgeirsson, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Adam Timmis, Stella Trompet, Frans van de Werf, Yolanda van der Graaf, Pim van der Haarst, Sander W. van der Laan, Ragnar O. Vilmundarson, Salim S. Virani, Frank L.J. Visseren, Efthymia Vlachopoulou, Lars Wallentin, Johannes Waltenberger, Els Wauters, Arthur A.M. Wilde, Erasmus MC other, Cardiology, Department of Marketing Management, Pathology, Clinical Genetics, PharmacoTherapy, -Epidemiology and -Economics, and ACS - Heart failure & arrhythmias
Subjects: COLLIDER BIAS, genetic association studies, media_common.quotation_subject, Coronary Disease, Disease, Genetic Diseases, Inborn/genetics, HEART-DISEASE, 030204 cardiovascular system & hematology, OBESITY PARADOX, Article, EXPLANATION, 03 medical and health sciences, 0302 clinical medicine, Genetic, Bias, Models, Statistics, Genetics, Medicine, Humans, selection bias, Genetics(clinical), False Positive Reactions, 030212 general & internal medicine, Genetics (clinical), Selection (genetic algorithm), confidence intervals, Selection Bias, Event (probability theory), Genetic association, media_common, risk, Selection bias, Observer Variation, Models, Genetic, business.industry, Hazard ratio, Genetic Diseases, Inborn, ASSOCIATION, Confidence interval, sample size, Inborn/genetics, Sample size determination, CARDIOVASCULAR-DISEASE, Genetic Diseases, alleles, INDEX-EVENT, business, Cardiology and Cardiovascular Medicine
Abstract: Background— Studies of recurrent or subsequent disease events may be susceptible to bias caused by selection of subjects who both experience and survive the primary indexing event. Currently, the magnitude of any selection bias, particularly for subsequent time-to-event analysis in genetic association studies, is unknown. Methods and Results— We used empirically inspired simulation studies to explore the impact of selection bias on the marginal hazard ratio for risk of subsequent events among those with established coronary heart disease. The extent of selection bias was determined by the magnitudes of genetic and nongenetic effects on the indexing (first) coronary heart disease event. Unless the genetic hazard ratio was unrealistically large (>1.6 per allele) and assuming the sum of all nongenetic hazard ratios was Conclusions— In most empirical settings, selection bias is expected to have a limited impact on genetic effect estimates of subsequent event risk. Nevertheless, because of undercoverage increasing with sample size, most confidence intervals will be over precise (not wide enough). When there is no effect modification by history of coronary heart disease, the false-positive rates of association tests will be close to nominal.
Published: 2017

23. Identification of Cadherin 2 (

Author: Bongani M, Mayosi, Maryam, Fish, Gasnat, Shaboodien, Elisa, Mastantuono, Sarah, Kraus, Thomas, Wieland, Maria-Christina, Kotta, Ashley, Chin, Nakita, Laing, Ntobeko B A, Ntusi, Michael, Chong, Christopher, Horsfall, Simon N, Pimstone, Davide, Gentilini, Gianfranco, Parati, Tim-Matthias, Strom, Thomas, Meitinger, Guillaume, Pare, Peter J, Schwartz, and Lia, Crotti
Subjects: Adult, Male, Adolescent, Amino Acid Substitution, Antigens, CD, Mutation, Missense, Humans, Exome, Female, Cadherins, Arrhythmogenic Right Ventricular Dysplasia
Abstract: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetically heterogeneous condition caused by mutations in genes encoding desmosomal proteins in up to 60% of cases. The 40% of genotype-negative cases point to the need of identifying novel genetic substrates by studying genotype-negative ARVC families.Whole exome sequencing was performed on 2 cousins with ARVC. Validation of 13 heterozygous variants that survived internal quality and frequency filters was performed by Sanger sequencing. These variants were also genotyped in all family members to establish genotype-phenotype cosegregation. High-resolution melting analysis followed by Sanger sequencing was used to screen for mutations in cadherin 2 (These data implicate
Published: 2016

24. Research capacity. Enabling the genomic revolution in Africa

Author: Charles, Rotimi, Akin, Abayomi, Alash'le, Abimiku, Victoria May, Adabayeri, Clement, Adebamowo, Ezekiel, Adebiyi, Adebowale D, Ademola, Adebowale, Adeyemo, Dwomoa, Adu, Dissou, Affolabi, Godfred, Agongo, Samuel, Ajayi, Sally, Akarolo-Anthony, Rufus, Akinyemi, Albert, Akpalu, Marianne, Alberts, Orlando, Alonso Betancourt, Ahmed Mansour, Alzohairy, Gobena, Ameni, Olukemi, Amodu, Gabriel, Anabwani, Kristian, Andersen, Fatiu, Arogundade, Oyedunni, Arulogun, Danny, Asogun, Rasheed, Bakare, Naby, Balde, Mary Lynn, Baniecki, Christine, Beiswanger, Alia, Benkahla, Lara, Bethke, Micheal, Boehnke, Vincent, Boima, James, Brandful, Andrew I, Brooks, Frank C, Brosius, Chester, Brown, Bruno, Bucheton, David T, Burke, Barrington G, Burnett, Stacy, Carrington-Lawrence, Nadia, Carstens, John, Chisi, Alan, Christoffels, Richard, Cooper, Heather, Cordell, Nigel, Crowther, Talishiea, Croxton, Jantina, de Vries, Leslie, Derr, Peter, Donkor, Seydou, Doumbia, Audrey, Duncanson, Ivy, Ekem, Ahmed, El Sayed, Mark E, Engel, John C K, Enyaru, Dean, Everett, Faisal M, Fadlelmola, Eyitayo, Fakunle, Kenneth H, Fischbeck, Anne, Fischer, Onikepe, Folarin, Junaid, Gamieldien, Robert F, Garry, Simani, Gaseitsiwe, Rasheed, Gbadegesin, Anita, Ghansah, Maria, Giovanni, Parham, Goesbeck, F Xavier, Gomez-Olive, Donald S, Grant, Ravnit, Grewal, Mark, Guyer, Neil A, Hanchard, Christian T, Happi, Scott, Hazelhurst, Branwen J, Hennig, Christiane, Hertz, Fowler, Winston, Hide, Friedhelm, Hilderbrandt, Christopher, Hugo-Hamman, Muntaser E, Ibrahim, Regina, James, Yasmina, Jaufeerally-Fakim, Carolyn, Jenkins, Ute, Jentsch, Pan-Pan, Jiang, Moses, Joloba, Victor, Jongeneel, Fourie, Joubert, Mukthar, Kader, Kathleen, Kahn, Pontiano, Kaleebu, Saidi H, Kapiga, Samar Kamal, Kassim, Ishmael, Kasvosve, Jonathan, Kayondo, Bernard, Keavney, Adeodata, Kekitiinwa, Sheik Humarr, Khan, Paul, Kimmel, Mary-Claire, King, Robert, Kleta, Mathurin, Koffi, Jeffrey, Kopp, Matthias, Kretzler, Judit, Kumuthini, Samuel, Kyobe, Catherine, Kyobutungi, Daniel T, Lackland, Karen A, Lacourciere, Guida, Landouré, Rita, Lawlor, Thomas, Lehner, Maia, Lesosky, Naomi, Levitt, Katherine, Littler, Zane, Lombard, Jeanne F, Loring, Sylvester, Lyantagaye, Annette, Macleod, Ebony B, Madden, Chengetai R, Mahomva, Julie, Makani, Manmak, Mamven, Marape, Marape, Graeme, Mardon, Patricia, Marshall, Darren P, Martin, Daniel, Masiga, Robin, Mason, Michael, Mate-Kole, Enock, Matovu, Mary, Mayige, Bongani M, Mayosi, Jean Claude, Mbanya, Sheryl A, McCurdy, Mark I, McCarthy, Helen, McIlleron, S O, Mc'Ligeyo, Corrine, Merle, Ana Olga, Mocumbi, Charles, Mondo, John V, Moran, Ayesha, Motala, Marva, Moxey-Mims, Wata Sununguko, Mpoloka, Chisomo L, Msefula, Thuli, Mthiyane, Nicola, Mulder, Gebregziab her, Mulugeta, Dieuodonne, Mumba, John, Musuku, Mo, Nagdee, Oyekanmi, Nash, Daouda, Ndiaye, Anh Quynh, Nguyen, Mark, Nicol, Oathokwa, Nkomazana, Shane, Norris, Betty, Nsangi, Alexander, Nyarko, Moffat, Nyirenda, Eileen, Obe, Reginald, Obiakor, Abraham, Oduro, Solomon F, Ofori-Acquah, Okechukwu, Ogah, Stephen, Ogendo, Kwaku, Ohene-Frempong, Akinlolu, Ojo, Timothy, Olanrewaju, John, Oli, Charlotte, Osafo, Odile, Ouwe Missi Oukem-Boyer, Bruce, Ovbiagele, Andrew, Owen, Mayowa Ojo, Owolabi, Lukman, Owolabi, Ellis, Owusu-Dabo, Guillaume, Pare, Rulan, Parekh, Hugh G, Patterton, Margaret B, Penno, Jane, Peterson, Rembert, Pieper, Jacob, Plange-Rhule, Martin, Pollak, Julia, Puzak, Rajkumar S, Ramesar, Michele, Ramsay, Rebekah, Rasooly, Shiksha, Reddy, Pardis C, Sabeti, Kwamena, Sagoe, Tunde, Salako, Oumar, Samassékou, Manjinder S, Sandhu, Osman, Sankoh, Fred Stephen, Sarfo, Marie, Sarr, Gasnat, Shaboodien, Issa, Sidibe, Gustave, Simo, Martin, Simuunza, Liam, Smeeth, Eugene, Sobngwi, Himla, Soodyall, Hermann, Sorgho, Oumou, Sow Bah, Sudha, Srinivasan, Dan J, Stein, Ezra S, Susser, Carmen, Swanepoel, Godfred, Tangwa, Andrew, Tareila, Ozlem, Tastan Bishop, Bamidele, Tayo, Nicki, Tiffin, Halidou, Tinto, Ekaete, Tobin, Stephen Meir, Tollman, Mahamadou, Traoré, Marsha J, Treadwell, Jennifer, Troyer, Masego, Tsimako-Johnstone, Vincent, Tukei, Ifeoma, Ulasi, Nzovu, Ulenga, Beverley, van Rooyen, Ablo Prudence, Wachinou, Salina P, Waddy, Alisha, Wade, Misaki, Wayengera, James, Whitworth, Louise, Wideroff, Cheryl A, Winkler, Sarah, Winnicki, Ambroise, Wonkam, Mengistu, Yewondwos, Tadase, sen, Nathan, Yozwiak, and Heather, Zar
Subjects: Genetics, Medical, Genomics, Article, United States, England, National Institutes of Health (U.S.), Health, Medical, Africa, Genetics, Humans, Disease, Genome-Wide Association Study
Published: 2014

25. Myocardial Injury after Noncardiac Surgery: A Large, International, Prospective Cohort Study Establishing Diagnostic Criteria, Characteristics, Predictors, and 30-day Outcomes

Author: Fernando, Botto, Pablo, Alonso-Coello, Matthew T V, Chan, Juan Carlos, Villar, Denis, Xavier, Sadeesh, Srinathan, Gordon, Guyatt, Patricia, Cruz, Michelle, Graham, C Y, Wang, Otavio, Berwanger, Rupert M, Pearse, Bruce M, Biccard, Valsa, Abraham, German, Malaga, Graham S, Hillis, Reitze N, Rodseth, Deborah, Cook, Carisi A, Polanczyk, Wojciech, Szczeklik, Daniel I, Sessler, Tej, Sheth, Gareth L, Ackland, Martin, Leuwer, Amit X, Garg, Yannick, Lemanach, Shirley, Pettit, Diane, Heels-Ansdell, Giovanna, Luratibuse, Michael, Walsh, Robert, Sapsford, Holger J, Schünemann, Andrea, Kurz, Sabu, Thomas, Marko, Mrkobrada, Lehana, Thabane, Hertzel, Gerstein, Pilar, Paniagua, Peter, Nagele, Parminder, Raina, Salim, Yusuf, P J, Devereaux, Matthew J, McQueen, Mohit, Bhandari, Jackie, Bosch, Norman, Buckley, Clara K, Chow, Richard, Halliwell, Stephen, Li, Vincent W, Lee, John, Mooney, Mariana V, Furtado, Erica, Suzumura, Eliana, Santucci, Katia, Leite, Jose Amalth do Espirirto, Santo, Cesar A P, Jardim, Alexandre Biasi, Cavalcanti, Helio Penna, Guimaraes, Michael J, Jacka, Finlay, McAlister, Sean, McMurtry, Derek, Townsend, Neesh, Pannu, Sean, Bagshaw, Amal, Bessissow, Emmanuelle, Duceppe, John, Eikelboom, Javier, Ganame, James, Hankinson, Stephen, Hill, Sanjit, Jolly, Andre, Lamy, Elizabeth, Ling, Patrick, Magloire, Guillaume, Pare, Deven, Reddy, David, Szalay, Jacques, Tittley, Jeff, Weitz, Richard, Whitlock, Saeed, Darvish-Kazim, Justin, Debeer, Peter, Kavsak, Clive, Kearon, Richard, Mizera, Martin, O'Donnell, Matthew, McQueen, Jehonathan, Pinthus, Sebastian, Ribas, Marko, Simunovic, Vikas, Tandon, Tomas, Vanhelder, Mitchell, Winemaker, Sarah, McDonald, Paul, O'Bryne, Ameen, Patel, James, Paul, Zubin, Punthakee, Karen, Raymer, Omid, Salehian, Fred, Spencer, Stephen, Walter, Andrew, Worster, Anthony, Adili, Catherine, Clase, Mark, Crowther, James, Douketis, Azim, Gangji, Paul, Jackson, Wendy, Lim, Peter, Lovrics, Sergio, Mazzadi, William, Orovan, Jill, Rudkowski, Mark, Soth, Maria, Tiboni, Rey, Acedillo, Amit, Garg, Ainslie, Hildebrand, Ngan, Lam, Danielle, Macneil, Pavel S, Roshanov, Sadeesh K, Srinathan, Clare, Ramsey, Philip St, John, Laurel, Thorlacius, Faisal S, Siddiqui, Hilary P, Grocott, Andrew, McKay, Trevor W R, Lee, Ryan, Amadeo, Duane, Funk, Heather, McDonald, James, Zacharias, Olga Lucía, Cortés, Maria Stella, Chaparro, Skarlett, Vásquez, Alvaro, Castañeda, Silvia, Ferreira, Pierre, Coriat, Denis, Monneret, Jean Pierre, Goarin, Cristina Ibanez, Esteve, Catherine, Royer, Georges, Daas, Gordon Y S, Choi, Tony, Gin, Lydia C W, Lit, Alben, Sigamani, Atiya, Faruqui, Radhika, Dhanpal, Smitha, Almeida, Joseph, Cherian, Sultana, Furruqh, Lalita, Afzal, Preetha, George, Shaveta, Mala, Holger, Schünemann, Paola, Muti, Enrico, Vizza, G S Y, Ong, Marzida, Mansor, Alvin S B, Tan, Ina I, Shariffuddin, V, Vasanthan, N H M, Hashim, A Wahab, Undok, Ushananthini, Ki, Hou Yee, Lai, Wan Azman, Ahmad, Azad H A, Razack, Vanessa, Valderrama-Victoria, Javier D, Loza-Herrera, Maria, De Los Angeles Lazo, Aida, Rotta-Rotta, Barbara, Sokolowska, Jacek, Musial, Jacek, Gorka, Pawel, Iwaszczuk, Mateusz, Kozka, Maciej, Chwala, Marcin, Raczek, Tomasz, Mrowiecki, Bogusz, Kaczmarek, Bruce, Biccard, Hussein, Cassimjee, Dean, Gopalan, Theroshnie, Kisten, Aine, Mugabi, Prebashini, Naidoo, Rubeshan, Naidoo, Reitze, Rodseth, David, Skinner, Alex, Torborg, Gerard, Urrutia, Mari Luz, Maestre, Miquel, Santaló, Raúl, Gonzalez, Adrià, Font, Cecilia, Martínez, Xavier, Pelaez, Marta, De Antonio, Jose Marcial, Villamor, Jesús Alvarez, García, Maria José, Ferré, Ekaterina, Popova, Ignacio, Garutti, Carmen, Fernández, Maria, Palencia, Susana, Díaz, Teresa, Del Castillo, Alberto, Varela, Angeles, de Miguel, Manuel, Muñoz, Patricia, Piñeiro, Gabriel, Cusati, Maria, Del Barrio, Maria José, Membrillo, David, Orozco, Fidel, Reyes, Robert J, Sapsford, Julian, Barth, Julian, Scott, Alistair, Hall, Simon, Howell, Michaela, Lobley, Janet, Woods, Susannah, Howard, Joanne, Fletcher, Nikki, Dewhirst, C, Williams, A, Rushton, I, Welters, M, Leuwer, Rupert, Pearse, Gareth, Ackland, Ahsun, Khan, Edyta, Niebrzegowska, Sally, Benton, Andrew, Wragg, Andrew, Archbold, Amanda, Smith, Eleanor, McAlees, Cheryl, Ramballi, Neil, Macdonald, Marta, Januszewska, Robert, Stephens, Anna, Reyes, Laura Gallego, Paredes, Pervez, Sultan, David, Cain, John, Whittle, Ana Gutierrez, Del Arroyo, Zhuo, Sun, Patrick S, Finnegan, Cameron, Egan, Hooman, Honar, Aram, Shahinyan, Krit, Panjasawatwong, Alexander Y, Fu, Sihe, Wang, Edmunds, Reineks, Jane, Blood, Megan, Kalin, David, Gibson, and Troy, Wildes
Subjects: Male, Myocardial Ischemia, surgical technique, Article, Cohort Studies, Age Distribution, Postoperative Complications, Troponin T, Humans, preoperative care, human, Prospective Studies, outcome assessment, Aged, Hardware_MEMORYSTRUCTURES, troponin T, ComputingMilieux_THECOMPUTINGPROFESSION, predictive value, Research Diagnostic Criteria, heart muscle injury, Middle Aged, Prognosis, major clinical study, mortality, clinical feature, Patient Outcome Assessment, peroperative complication, priority journal, Surgical Procedures, Operative, prognosis, purl.org/pe-repo/ocde/ford#3.02.09 [https]
Abstract: Background: Myocardial injury after noncardiac surgery (MINS) was defined as prognostically relevant myocardial injury due to ischemia that occurs during or within 30 days after noncardiac surgery. The study's four objectives were to determine the diagnostic criteria, characteristics, predictors, and 30-day outcomes of MINS. Methods: In this international, prospective cohort study of 15,065 patients aged 45 yr or older who underwent in-patient noncardiac surgery, troponin T was measured during the first 3 postoperative days. Patients with a troponin T level of 0.04 ng/ml or greater (elevated abnormal laboratory threshold) were assessed for ischemic features (i.e., ischemic symptoms and electrocardiography findings). Patients adjudicated as having a nonischemic troponin elevation (e.g., sepsis) were excluded. To establish diagnostic criteria for MINS, the authors used Cox regression analyses in which the dependent variable was 30-day mortality (260 deaths) and independent variables included preoperative variables, perioperative complications, and potential MINS diagnostic criteria. Results: An elevated troponin after noncardiac surgery, irrespective of the presence of an ischemic feature, independently predicted 30-day mortality. Therefore, the authors' diagnostic criterion for MINS was a peak troponin T level of 0.03 ng/ml or greater judged due to myocardial ischemia. MINS was an independent predictor of 30-day mortality (adjusted hazard ratio, 3.87; 95% CI, 2.96-5.08) and had the highest population-attributable risk (34.0%, 95% CI, 26.6-41.5) of the perioperative complications. Twelve hundred patients (8.0%) suffered MINS, and 58.2% of these patients would not have fulfilled the universal definition of myocardial infarction. Only 15.8% of patients with MINS experienced an ischemic symptom. Conclusion: Among adults undergoing noncardiac surgery, MINS is common and associated with substantial mortality.
Published: 2014

26. Genetic information and the prediction of incident type 2 diabetes in a high-risk multiethnic population: the EpiDREAM genetic study

Author: Sonia S, Anand, David, Meyre, Guillaume, Pare, Swneke D, Bailey, Changchun, Xie, Xiaohe, Zhang, Alexandre, Montpetit, Dipika, Desai, Jackie, Bosch, Viswanathan, Mohan, Rafael, Diaz, Matthew J, McQueen, Heather J, Cordell, Bernard, Keavney, Salim, Yusuf, Daniel, Gaudet, Hertzel, Gerstein, and James C, Engert
Subjects: Adult, Aged, 80 and over, Cardiovascular and Metabolic Risk, endocrine system diseases, Adolescent, Genotype, nutritional and metabolic diseases, Middle Aged, Polymorphism, Single Nucleotide, White People, Young Adult, Diabetes Mellitus, Type 2, Multivariate Analysis, Humans, Aged, Original Research
Abstract: OBJECTIVE To determine if 16 single nucleotide polymorphisms (SNPs) associated with type 2 diabetes (T2DM) in Europeans are also associated with T2DM in South Asians and Latinos and if they can add to the prediction of incident T2DM in a high-risk population. RESEARCH DESIGN AND METHODS In the EpiDREAM prospective cohort study, physical measures, questionnaires, and blood samples were collected from 25,063 individuals at risk for dysglycemia. Sixteen SNPs that have been robustly associated with T2DM in Europeans were genotyped. Among 15,466 European, South Asian, and Latino subjects, we examined the association of these 16 SNPs alone and combined in a gene score with incident cases of T2DM (n = 1,016) that developed during 3.3 years of follow-up. RESULTS Nine of the 16 SNPs were significantly associated with T2DM, and their direction of effect was consistent across the three ethnic groups. The gene score was significantly higher among subjects who developed incident T2DM (cases vs. noncases: 16.47 [2.50] vs. 15.99 [2.56]; P = 0.00001). The gene score remained an independent predictor of incident T2DM, with an odds ratio of 1.08 (95% CI 1.05–1.11) per additional risk allele after adjustment for T2DM risk factors. The gene score in those with no family history of T2DM was 16.02, whereas it was 16.19 in those with one parent with T2DM and it was 16.32 in those with two parents with T2DM (P trend = 0.0004). The C statistic of T2DM risk factors was 0.708 (0.691–0.725) and increased only marginally to 0.714 (0.698–0.731) with the addition of the gene score (P for C statistic change = 0.0052). CONCLUSIONS T2DM genetic associations are generally consistent across ethnic groups, and a gene score only adds marginal information to clinical factors for T2DM prediction.
Published: 2013

27. Causal relationship between obesity and vitamin D status: bi-directional Mendelian randomization analysis of multiple cohorts

Author: Benjamin Voight, Guillaume Pare, Ruth Loos, Michael Preuss, Åsa Johansson, Eco De Geus, Michael Weedon, Marjo-Riitta Jarvelin, Joyce Van Meurs, Torben Jørgensen, Kirsi Pietiläinen, Nicole Glazer, Mattias Lorentzon, Braxton Mitchell, Nicole Soranzo, Patricia Munroe, Ozren Polasek, Elisabeth Thiering, Marika Kaakinen, Carla Vogel, Jennie Hui, Elina Hypponen, ROBERTO ELOSUA, Amanda Bennett, Michael Stumvoll, Andrew Hattersley, Peter P Pramstaller, Lambertus Kiemeney, Sophie Visvikis-Siest, Vilmundur Gudnason, John Whittaker, Aroon Hingorani, Thor Aspelund, Dale Nyholt, Mary Feitosa, Vimal Karani, Mika Kähönen, Lachlan Coin, Malcolm Dunlop, Josee Dupuis, Terho Lehtimäki, Peter Visscher, Katja Aben, Daniel Witte, Cyrus Cooper, Stefan Pilz, Willem Ouwehand, Eleanor Wheeler, Peter Kovacs, Debbie A Lawlor, Kevin Jacobs, Evropi Theodoratou, Hana Lango Allen, Rosanda Mulic, Rui Li, Stephen Kritchevsky, Philippe Froguel, Soumya Raychaudhuri, Cornelia Van Duijn, Andrew Wood, Chiara Lanzani, Tonu Esko, Sadaf Farooqi, Reedik Mägi, Gerard Waeber, Claes Ohlsson, André Scherag, Marcus Kleber, Thomas Meitinger, Lina Zgaga, Denise Houston, Karl Michaëlsson, Robert Weyant, Thomas Wang, Paul Elliott, Robert Luben, Albert Vernon Smith, MANUELA UDA, Gonneke Willemsen, Mark McCarthy, Cecilia Lindgren, Olle Melander, Igor Rudan, Maris Teder-Laving, Liesbeth Vandenput, Vimaleswaran, K, Berry, Dj, Lu, C, Tikkanen, E, Pilz, S, Hiraki, Lt, Cooper, Jd, Dastani, Z, Li, R, Houston, Dk, Wood, Ar, Michaëlsson, K, Vandenput, L, Zgaga, L, YERGES ARMSTRONG, Lm, Mccarthy, Mi, Dupuis, J, Kaakinen, M, Kleber, Me, Jameson, K, Arden, N, Raitakari, O, Viikari, J, Lohman, Kk, Ferrucci, L, Melhus, H, Ingelsson, E, Byberg, L, Lind, L, Lorentzon, M, Salomaa, V, Campbell, H, Dunlop, M, Mitchell, Bd, Herzig, Kh, Pouta, A, Hartikainen, Al, Manunta, Paolo, Streeten, Ea, Theodoratou, E, Jula, A, Wareham, Nj, Ohlsson, C, Frayling, Tm, Kritchevsky, Sb, Spector, Td, Richards, Jb, Lehtimäki, T, Ouwehand, Wh, Kraft, P, Cooper, C, März, W, Power, C, Loos, Rj, Wang, Tj, Järvelin, Mr, Whittaker, Jc, Hingorani, Ad, Hyppönen, E., Council, Medical Research, Biological Psychology, EMGO+ - Lifestyle, Overweight and Diabetes, Institute for Molecular Medicine Finland, Haartman Institute (-2014), Transplantation Laboratory, Vimaleswaran, Karani S, Berry, Diane J, Lu, Chen, Tikkanen, Emmi, Hyppönen, Elina, Genetic Investigation of Anthropometric Traits (GIANT) Consortium, Hinney, Anke (Beitragende*r), Scherag, Susann (Beitragende*r), Hebebrand, Johannes (Beitragende*r), Epidemiology and Data Science, Psychiatry, EMGO - Lifestyle, overweight and diabetes, Genetic Investigation of Anthropometric Traits-GIANT Consortium, Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Jian'an, L., Mägi, R., Randall, J.C., Vedantam, S., Winkler, T.W., Qi, L., Workalemahu, T., Heid, I.M., Steinthorsdottir, V., Stringham, H.M., Weedon, M.N., Wheeler, E., Wood, A.R., Ferreira, T., Weyant, R.J., Segrè, A.V., Estrada, K., Liang, L., Nemesh, J., Park, J.H., Gustafsson, S., Kilpeläinen, T.O., Yang, J., Bouatia-Naji, N., Tõnu, E., Feitosa, M.F., Kutalik, Z., Mangino, M., Raychaudhuri, S., Scherag, A., Smith, A.V., Welch, R., Zhao, J.H., Aben, K.K., Absher, D.M., Amin, N., Dixon, A.L., Fisher, E., Glazer, N.L., Goddard, M.E., Heard-Costa, N.L., Hoesel, V., Hottenga, J.J., Johansson, Å., Johnson, T., Ketkar, S., Lamina, C., Li, S., Moffatt, M.F., Myers, R.H., Narisu, N., Perry, J.R., Peters, M.J., Preuss, M., Ripatti, S., Rivadeneira, F., Sandholt, C., Scott, L.J., Timpson, N.J., Tyrer, J.P., van Wingerden, S., Watanabe, R.M., White, C.C., Wiklund, F., Barlassina, C., Chasman, D.I., Cooper, M.N., Jansson, J.O., Lawrence, R.W., Pellikka, N., Prokopenko, I., Shi, J., Thiering, E., Alavere, H., Alibrandi, M.T., Almgren, P., Arnold, A.M., Aspelund, T., Atwood, L.D., Balkau, B., Balmforth, A.J., Bennett, A.J., Ben-Shlomo, Y., Bergman, R.N., Bergmann, S., Biebermann, H., Blakemore, A.I., Boes, T., Bonnycastle, L.L., Bornstein, S.R., Brown, M.J., Buchanan, T.A., Busonero, F., Campbell, H., Cappuccio, F.P., Cavalcanti-Proença, C., Chen, Y.D., Chen, C.M., Chines, P.S., Clarke, R., Coin, L., Connell, J., Day, I.N., Heijer, M., Duan, J., Ebrahim, S., Elliott, P., Elosua, R., Eiriksdottir, G., Erdos, M.R., Eriksson, J.G., Facheris, M.F., Felix, S.B., Fischer-Posovszky, P., Folsom, A.R., Friedrich, N., Freimer, N.B., Fu, M., Gaget, S., Gejman, P.V., Geus, E.J., Gieger, C., Gjesing, A.P., Goel, A., Goyette, P., Grallert, H., Gräßler, J., Greenawalt, D.M., Groves, C.J., Gudnason, V., Guiducci, C., Hartikainen, A.L., Hassanali, N., Hall, A.S., Havulinna, A.S., Hayward, C., Heath, A.C., Hengstenberg, C., Hicks, A.A., Hinney, A., Hofman, A., Homuth, G., Hui, J., Igl, W., Iribarren, C., Isomaa, B., Jacobs, K.B., Jarick, I., Jewell, E., John, U., Jørgensen, T., Jousilahti, P., Jula, A., Kaakinen, M., Kajantie, E., Kaplan, L.M., Kathiresan, S., Kettunen, J., Kinnunen, L., Knowles, J.W., Kolcic, I., König, I.R., Koskinen, S., Kovacs, P., Kuusisto, J., Kraft, P., Kvaløy, K., Laitinen, J., Lantieri, O., Lanzani, C., Launer, L.J., Lecoeur, C., Lehtimäki, T., Lettre, G., Liu, J., Lokki, M.L., Lorentzon, M., Luben, R.N., Ludwig, B., Manunta, P., Marek, D., Marre, M., Martin, N.G., McArdle, W.L., McCarthy, A., McKnight, B., Meitinger, T., Melander, O., Meyre, D., Midthjell, K., Montgomery, G.W., Morken, M.A., Morris, A.P., Mulic, R., Ngwa, J.S., Nelis, M., Neville, M.J., Nyholt, D.R., O'Donnell, C.J., O'Rahilly, S., Ong, K.K., Oostra, B., Paré, G., Parker, A.N., Perola, M., Pichler, I., Pietiläinen, K.H., Platou, C.G., Polasek, O., Pouta, A., Rafelt, S., Raitakari, O., Rayner, N.W., Ridderstråle, M., Rief, W., Ruokonen, A., Robertson, N.R., Rzehak, P., Salomaa, V., Sanders, A.R., Sandhu, M.S., Sanna, S., Saramies, J., Savolainen, M.J., Scherag, S., Schipf, S., Schreiber, S., Schunkert, H., Silander, K., Sinisalo, J., Siscovick, D.S., Smit, J.H., Soranzo, N., Sovio, U., Stephens, J., Surakka, I., Swift, AJ., Tammesoo, M.L., Tardif, J.C., Teder-Laving, M., Teslovich, T.M., Thompson, J.R., Thomson, B., Tönjes, A., Tuomi, T., van Meurs, J.B., van Ommen, G.J., Vatin, V., Viikari, J., Visvikis-Siest, S., Vitart, V., Vogel, C.I., Voight, B.F., Waite, L.L., Wallaschofski, H., Walters, G.B., Widen, E., Wiegand, S., Wild, S.H., Willemsen, G., Witte, D.R., Witteman, J.C., Xu, J., Zhang, Q., Zgaga, L., Ziegler, A., Zitting, P., Beilby, J.P., Farooqi, I.S., Hebebrand, J., Huikuri, H.V., James, AL., Kähönen, M., Levinson, D.F., Macciardi, F., Nieminen, M.S., Ohlsson, C., Palmer, L.J., Ridker, P.M., Stumvoll, M., Beckmann, J.S., Boeing, H., Boerwinkle, E., Boomsma, D.I., Caulfield, M.J., Chanock, S.J., Collins, F.S., Cupples, L.A., Smith, G.D., Erdmann, J., Froguel, P., Grönberg, H., Gyllensten, U., Hall, P., Hansen, T., Harris, T.B., Hattersley, A.T., Hayes, R.B., Heinrich, J., Hu, F.B., Hveem, K., Illig, T., Jarvelin, M.R., Kaprio, J., Karpe, F., Khaw, K.T., Kiemeney, L.A., Krude, H., Laakso, M., Lawlor, D.A., Metspalu, A., Munroe, P.B., Ouwehand, W.H., Pedersen, O., Penninx, B.W., Peters, A., Pramstaller, P.P., Quertermous, T., Reinehr, T., Rissanen, A., Rudan, I., Samani, N.J., Schwarz, P.E., Shuldiner, A.R., Spector, T.D., Tuomilehto, J., Uda, M., Uitterlinden, A., Valle, T.T., Wabitsch, M., Waeber, G., Wareham, N.J., Watkins, H., Wilson, J.F., Wright, A.F., Zillikens, M.C., Chatterjee, N., McCarroll, S.A., Purcell, S., Schadt, E.E., Visscher, P.M., Assimes, T.L., Borecki, I.B., Deloukas, P., Fox, C.S., Groop, L.C., Haritunians, T., Hunter, D.J., Kaplan, R.C., Mohlke, K.L., O'Connell, J.R., Peltonen, L., Schlessinger, D., Strachan, D.P., van Duijn, C.M., Wichmann, H.E., Frayling, T.M., Thorsteinsdottir, U., Abecasis, G.R., Barroso, I., Boehnke, M., Stefansson, K., North, K.E., McCarthy, M.I., Hirschhorn, J.N., Ingelsson, E., Loos, R.J., Medical Research Council (MRC), and National Institute for Health Research
Subjects: Male, Netherlands Twin Register (NTR), Medicin och hälsovetenskap, obesity, 25-HYDROXYVITAMIN D, D INSUFFICIENCY, Epidemiology, Medizin, vitamin D, Aetiology, screening and detection [ONCOL 5], Medical and Health Sciences, Gastroenterology, Body Mass Index, chemistry.chemical_compound, 0302 clinical medicine, Risk Factors, GENETIC-VARIANTS, Medicine, 030212 general & internal medicine, Vitamin D, 2. Zero hunger, Genetics, Aged, 80 and over, Evidence-Based Medicine, Confounding, 11 Medical And Health Sciences, General Medicine, Middle Aged, 3. Good health, PREVALENCE, Europe, Phenotype, Genetic Epidemiology, Biological Markers, Female, Life Sciences & Biomedicine, Research Article, Vitamin, Adult, medicine.medical_specialty, vitamin D deficiency, genetic variants, Genetic Investigation of Anthropometric Traits-GIANT Consortium, European Continental Ancestry Group, 030209 endocrinology & metabolism, Single-nucleotide polymorphism, body mass index, Polymorphism, Single Nucleotide, Risk Assessment, White People, COMMON OBESITY, 03 medical and health sciences, D DEFICIENCY, Medicine, General & Internal, SDG 3 - Good Health and Well-being, General & Internal Medicine, Internal medicine, Mendelian randomization, Vitamin D and neurology, INSTRUMENTAL VARIABLES, Humans, Genetic Predisposition to Disease, Obesity, GENOME-WIDE ASSOCIATION, Biology, Molecular epidemiology Aetiology, screening and detection [NCEBP 1], Aged, Science & Technology, Population Biology, business.industry, CARDIOVASCULAR-DISEASE RISK, ta3121, Mendelian Randomization Analysis, medicine.disease, Vitamin D Deficiency, BODY-MASS INDEX, chemistry, Genetic epidemiology, 3121 General medicine, internal medicine and other clinical medicine, Multivariate Analysis, North America, Genetic Polymorphism, Linear Models, business, Body mass index, Population Genetics, Biomarkers
Abstract: A mendelian randomization study based on data from multiple cohorts conducted by Karani Santhanakrishnan Vimaleswaran and colleagues re-examines the causal nature of the relationship between vitamin D levels and obesity., Background Obesity is associated with vitamin D deficiency, and both are areas of active public health concern. We explored the causality and direction of the relationship between body mass index (BMI) and 25-hydroxyvitamin D [25(OH)D] using genetic markers as instrumental variables (IVs) in bi-directional Mendelian randomization (MR) analysis. Methods and Findings We used information from 21 adult cohorts (up to 42,024 participants) with 12 BMI-related SNPs (combined in an allelic score) to produce an instrument for BMI and four SNPs associated with 25(OH)D (combined in two allelic scores, separately for genes encoding its synthesis or metabolism) as an instrument for vitamin D. Regression estimates for the IVs (allele scores) were generated within-study and pooled by meta-analysis to generate summary effects. Associations between vitamin D scores and BMI were confirmed in the Genetic Investigation of Anthropometric Traits (GIANT) consortium (n = 123,864). Each 1 kg/m2 higher BMI was associated with 1.15% lower 25(OH)D (p = 6.52×10−27). The BMI allele score was associated both with BMI (p = 6.30×10−62) and 25(OH)D (−0.06% [95% CI −0.10 to −0.02], p = 0.004) in the cohorts that underwent meta-analysis. The two vitamin D allele scores were strongly associated with 25(OH)D (p≤8.07×10−57 for both scores) but not with BMI (synthesis score, p = 0.88; metabolism score, p = 0.08) in the meta-analysis. A 10% higher genetically instrumented BMI was associated with 4.2% lower 25(OH)D concentrations (IV ratio: −4.2 [95% CI −7.1 to −1.3], p = 0.005). No association was seen for genetically instrumented 25(OH)D with BMI, a finding that was confirmed using data from the GIANT consortium (p≥0.57 for both vitamin D scores). Conclusions On the basis of a bi-directional genetic approach that limits confounding, our study suggests that a higher BMI leads to lower 25(OH)D, while any effects of lower 25(OH)D increasing BMI are likely to be small. Population level interventions to reduce BMI are expected to decrease the prevalence of vitamin D deficiency. Please see later in the article for the Editors' Summary, Editors' Summary Background Obesity—having an unhealthy amount of body fat—is increasing worldwide. In the US, for example, a third of the adult population is now obese. Obesity is defined as having a body mass index (BMI, an indicator of body fat calculated by dividing a person's weight in kilograms by their height in meters squared) of more than 30.0 kg/m2. Although there is a genetic contribution to obesity, people generally become obese by consuming food and drink that contains more energy than they need for their daily activities. Thus, obesity can be prevented by having a healthy diet and exercising regularly. Compared to people with a healthy weight, obese individuals have an increased risk of developing diabetes, heart disease and stroke, and tend to die younger. They also have a higher risk of vitamin D deficiency, another increasingly common public health concern. Vitamin D, which is essential for healthy bones as well as other functions, is made in the skin after exposure to sunlight but can also be obtained through the diet and through supplements. Why Was This Study Done? Observational studies cannot prove that obesity causes vitamin D deficiency because obese individuals may share other characteristics that reduce their circulating 25-hydroxy vitamin D [25(OH)D] levels (referred to as confounding). Moreover, observational studies cannot indicate whether the larger vitamin D storage capacity of obese individuals (vitamin D is stored in fatty tissues) lowers their 25(OH)D levels or whether 25(OH)D levels influence fat accumulation (reverse causation). If obesity causes vitamin D deficiency, monitoring and treating vitamin D deficiency might alleviate some of the adverse health effects of obesity. Conversely, if low vitamin D levels cause obesity, encouraging people to take vitamin D supplements might help to control the obesity epidemic. Here, the researchers use bi-directional “Mendelian randomization” to examine the direction and causality of the relationship between BMI and 25(OH)D. In Mendelian randomization, causality is inferred from associations between genetic variants that mimic the influence of a modifiable environmental exposure and the outcome of interest. Because gene variants do not change over time and are inherited randomly, they are not prone to confounding and are free from reverse causation. Thus, if a lower vitamin D status leads to obesity, genetic variants associated with lower 25(OH)D concentrations should be associated with higher BMI, and if obesity leads to a lower vitamin D status, then genetic variants associated with higher BMI should be associated with lower 25(OH)D concentrations. What Did the Researchers Do and Find? The researchers created a “BMI allele score” based on 12 BMI-related gene variants and two “25(OH)D allele scores,” which are based on gene variants that affect either 25(OH)D synthesis or breakdown. Using information on up to 42,024 participants from 21 studies, the researchers showed that the BMI allele score was associated with both BMI and with 25(OH)D levels among the study participants. Based on this information, they calculated that each 10% increase in BMI will lead to a 4.2% decrease in 25(OH)D concentrations. By contrast, although both 25(OH)D allele scores were strongly associated with 25(OH)D levels, neither score was associated with BMI. This lack of an association between 25(OH)D allele scores and obesity was confirmed using data from more than 100,000 individuals involved in 46 studies that has been collected by the GIANT (Genetic Investigation of Anthropometric Traits) consortium. What Do These Findings Mean? These findings suggest that a higher BMI leads to a lower vitamin D status whereas any effects of low vitamin D status on BMI are likely to be small. That is, these findings provide evidence for obesity as a causal factor in the development of vitamin D deficiency but not for vitamin D deficiency as a causal factor in the development of obesity. These findings suggest that population-level interventions to reduce obesity should lead to a reduction in the prevalence of vitamin D deficiency and highlight the importance of monitoring and treating vitamin D deficiency as a means of alleviating the adverse influences of obesity on health. Additional Information Please access these Web sites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1001383. The US Centers for Disease Control and Prevention provides information on all aspects of overweight and obesity (in English and Spanish); a data brief provides information about the vitamin D status of the US population The World Health Organization provides information on obesity (in several languages) The UK National Health Service Choices website provides detailed information about obesity and a link to a personal story about losing weight; it also provides information about vitamin D The International Obesity Taskforce provides information about the global obesity epidemic The US Department of Agriculture's ChooseMyPlate.gov website provides a personal healthy eating plan; the Weight-control Information Network is an information service provided for the general public and health professionals by the US National Institute of Diabetes and Digestive and Kidney Diseases (in English and Spanish) The US Office of Dietary Supplements provides information about vitamin D (in English and Spanish) MedlinePlus has links to further information about obesity and about vitamin D (in English and Spanish) Wikipedia has a page on Mendelian randomization (note: Wikipedia is a free online encyclopedia that anyone can edit; available in several languages) Overview and details of the collaborative large-scale genetic association study (D-CarDia) provide information about vitamin D and the risk of cardiovascular disease, diabetes and related traits
Published: 2013

28. Abstract 360: Genetic Variants Associated With ACE Inhibitor-Associated Angioedema

Author: Guillaume Pare, Michiaki Kubo, James B Byrd, Catherine A McCarty, Alencia Woodard-Grice, Rebecca L Zurich, Yuki Bradford, Stephanie Ross, Marylyn Ritchie, and Nancy J Brown
Subjects: Internal Medicine
Abstract: We conducted a genomewide association study in 179 individuals with ACE inhibitor-associated angioedema and 489 ACE inhibitor-exposed controls from Nashville, TN and Marshfield, WI. We performed a replication study in 19 cases and 57 age-, sex-, and ancestry-matched controls from the Ongoing Telmisartan Alone and in Combination with Ramipril Global Endpoint Trial (ONTARGET). There were no genomewide significant associations (p-8 ) of any SNP with angioedema in either African or European Americans. Sixteen SNPs in African Americans and 41 SNPs in European Americans that were moderately associated with angioedema (p-4 ) were evaluated for replication in ONTARGET. The T allele of rs500766, a SNP in the gene encoding for protein kinase C θ, was associated with a reduced risk of angioedema in both the Nashville/Marshfield sample (OR 0.42, 95% CI 0.28-0.63, p=2.97x10 -5 in the additive model and OR 0.42, 95% CI 0.26-0.67, p=3.04x10 -4 in the dominant model) and in ONTARGET (OR 0.28, 95% CI 0.09-0.89, p=0.030 in the dominant model). The G allele of rs2724635, a SNP in ETS variant gene 6, was associated with increased risk of ACE inhibitor-associated angioedema in both the Nashville/Marshfield sample (OR 2.78, 95%CI 1.67-4.00, p=2.73x10 -5 in the additive model; OR 3.23, 95%CI 1.75-6.25, p=2.11x10 -4 dominant model; OR 5.56, 95%CI 1.85-16.6, p=2.01x10 -3 recessive mode) and in the ONTARGET sample (OR 3.27, 95%CI 1.03-10.35, p=0.044 in the recessive model). We also conducted a candidate-gene study, using the smaller ONTARGET sample for discovery, and the Nashville/Marshfield study for replication. In the candidate gene study, rs989692 in the gene encoding for neprilysin ( MME ), was significantly associated with angioedema in ONTARGET and in African Americans in the Nashville/Marshfield sample. Variants in genes involved in immune regulation and in neprilysin, an enzyme that degrades bradykinin and substance P, were associated with ACE inhibitor-associated angioedema.
Published: 2012

29. Genome-Wide Association Analysis Identifies Variants Associated with Nonalcoholic Fatty Liver Disease That Have Distinct Effects on Metabolic Traits

Author: Benjamin Voight, Amelie Bonnefond, Mark Caulfield, Guillaume Pare, Manal Abdelmalek, Eleftheria Zeggini, Jeffrey Schwimmer, Anna Gloyn, Michael Preuss, Åsa Johansson, LAURA CRISPONI, Eco De Geus, Michael Weedon, Jeanne Clark, Joyce Van Meurs, Torben Jørgensen, Kirsi Pietiläinen, Nicole Glazer, Jaakko Kaprio, Alan Shuldiner, Braxton Mitchell, Patricia Munroe, Ozren Polasek, Elisabeth Thiering, Carla Vogel, Jennie Hui, ROBERTO ELOSUA, Amanda Bennett, Yurii Aulchenko, Michael Stumvoll, Andrew Hattersley, Alexander Doney, Peter P Pramstaller, Christian Dina, Lambertus Kiemeney, Sophie Visvikis-Siest, ANGELO SCUTERI, Udo Seedorf, Vilmundur Gudnason, Peter Kraft, Aroon Hingorani, Michael Marmot, Dale Nyholt, Mika Kivimaki, Mary Feitosa, Danielle Posthuma, Claudia Langenberg, Stavroula Kanoni, Mika Kähönen, David Hillman, Lachlan Coin, Eric Brunner, Terho Lehtimäki, Man Li, John Beilby, Peter Visscher, Anette P Gjesing, James Pankow, Ruben Hernaez, Taina Lajunen, Katja Aben, Daniel Witte, Willem Ouwehand, Eleanor Wheeler, Peter Kovacs, Debbie A Lawlor, Kevin Jacobs, Jianjun Liu, Joseph Massaro, Hana Lango Allen, Inga Prokopenko, Rafn Benediktsson, Philippe Froguel, Soumya Raychaudhuri, Cornelia Van Duijn, Annette Peters, Nita Forouhi, Chiara Lanzani, Tonu Esko, Ko Willems van Dijk, Sadaf Farooqi, John Carr, Reedik Mägi, David Melzer, Gerard Waeber, Sutapa Mukherjee, Lyle John Palmer, Francois Pattou, Claes Ohlsson, Perry Elliott, André Scherag, Inke König, Stephen O'rahilly, Thomas Meitinger, Michael Goddard, Lina Zgaga, Robert Weyant, Paul Elliott, Robert Luben, Albert Vernon Smith, MANUELA UDA, Avan Aihie Sayer, Richard Bergman, Gonneke Willemsen, Cecilia Lindgren, Olle Melander, Igor Rudan, Maris Teder-Laving, Hugh Watkins, Ulrich John, Epidemiology, Scherag, Andre (Beitragende*r), Hinney, Anke (Beitragende*r), Scherag, S. (Beitragende*r), Vogel, C. I. (Beitragende*r), Hebebrand, Johannes (Beitragende*r), Functional Genomics, Biological Psychology, Neuroscience Campus Amsterdam - integrative Analysis & Modeling, Neuroscience Campus Amsterdam - Attention & Cognition, EMGO+ - Mental Health, McCarthy, Mark I, Apollo - University of Cambridge Repository, Medical Research Council (MRC), Speliotes, Ek, YERGES ARMSTRONG, Lm, Wu, J, Hernaez, R, Kim, Lj, Palmer, Cd, Gudnason, V, Eiriksdottir, G, Garcia, Me, Launer, Lj, Nalls, Ma, Clark, Jm, Mitchell, Bd, Shuldiner, Ar, Butler, Jl, Tomas, M, Hoffmann, U, Hwang, Sj, Massaro, Jm, O'Donnell, Cj, Sahani, Dv, Salomaa, V, Schadt, Ee, Schwartz, Sm, Siscovick, D, Nash, Crn, Manunta, Paolo, Giant, Consortium, Magic, Investigator, Voight, Bf, Carr, Jj, Feitosa, Mf, Harris, Tb, Fox, C, Smith, Av, Kao, Wh, Hirschhorn, Jn, Borecki, Ib, Gold, Consortium, Hjelt Institute (-2014), Department of Public Health, Institute for Molecular Medicine Finland, Haartman Institute (-2014), Transplantation Laboratory, Genetic Epidemiology, O', Donnell, Cj, Giant, and Paolisso, Giuseppe
Subjects: Blood Glucose, Male, Netherlands Twin Register (NTR), Cancer Research, Medizin, Genome-wide association study, Hepatitis, Diabetes and Endocrinology/Obesity, Cohort Studies, 0302 clinical medicine, Non-alcoholic Fatty Liver Disease, Lectins, Nonalcoholic fatty liver disease, 80 and over, Insulin, 2.1 Biological and endogenous factors, Aetiology, Tomography, Adaptor Proteins, Signal Transducing/genetics Adult Aged Aged, 80 and over Blood Glucose/analysis Case-Control Studies Chondroitin Sulfate Proteoglycans/genetics Cohort Studies Fatty Liver/*genetics/metabolism/radiography Genome-Wide Association Study Humans Insulin/blood Lectins, C-Type/genetics Lipase/genetics Male Membrane Proteins/genetics Middle Aged Mutation, Missense Nerve Tissue Proteins/genetics Polymorphism, Single Nucleotide Quantitative Trait Loci Tomography, X-Ray Computed, Genetics (clinical), Aged, 80 and over, Genetics, 0303 health sciences, education.field_of_study, Framingham Risk Score, C-Type, Liver Disease, Fatty liver, Adaptor Proteins, Single Nucleotide, Middle Aged, X-Ray Computed, 3. Good health, GOLD Consortium, 030211 gastroenterology & hepatology, Research Article, Adult, lcsh:QH426-470, Quantitative Trait Loci, Chronic Liver Disease and Cirrhosis, Mutation, Missense, genome-wide, fatty liver, metabolic, Nerve Tissue Proteins, Genetics and Genomics/Complex Traits, Biology, Polymorphism, Single Nucleotide, Gastroenterology and Hepatology/Hepatology, MAGIC Investigators, 03 medical and health sciences, Clinical Research, GIANT Consortium, medicine, Humans, Lectins, C-Type, Adiponutrin, NASH CRN, ddc:610, Polymorphism, education, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Adaptor Proteins, Signal Transducing, Aged, 030304 developmental biology, 0604 Genetics, Genetic heterogeneity, Prevention, Human Genome, Signal Transducing, Membrane Proteins, Lipase, medicine.disease, 3141 Health care science, Fatty Liver, lcsh:Genetics, Chondroitin Sulfate Proteoglycans, Case-Control Studies, Mutation, Missense, Steatosis, Steatohepatitis, Tomography, X-Ray Computed, Digestive Diseases, Neurocan, Genome-Wide Association Study, Developmental Biology
Abstract: Nonalcoholic fatty liver disease (NAFLD) clusters in families, but the only known common genetic variants influencing risk are near PNPLA3. We sought to identify additional genetic variants influencing NAFLD using genome-wide association (GWA) analysis of computed tomography (CT) measured hepatic steatosis, a non-invasive measure of NAFLD, in large population based samples. Using variance components methods, we show that CT hepatic steatosis is heritable (∼26%–27%) in family-based Amish, Family Heart, and Framingham Heart Studies (n = 880 to 3,070). By carrying out a fixed-effects meta-analysis of genome-wide association (GWA) results between CT hepatic steatosis and ∼2.4 million imputed or genotyped SNPs in 7,176 individuals from the Old Order Amish, Age, Gene/Environment Susceptibility-Reykjavik study (AGES), Family Heart, and Framingham Heart Studies, we identify variants associated at genome-wide significant levels (p, Author Summary NAFLD is a spectrum of disease that ranges from steatosis to steatohepatitis (nonalcoholic steatohepatitis or NASH: inflammation around the fat) to fibrosis/cirrhosis. Hepatic steatosis can be measured non-invasively using computed tomography (CT) whereas NASH/fibrosis is assessed histologically. The genetic underpinnings of NAFLD remain to be determined. Here we estimate that 26%–27% of the variation in CT measured hepatic steatosis is heritable or genetic. We identify three variants near PNPLAL3, NCAN, and PPP1R3B that associate with CT hepatic steatosis and show that variants in or near NCAN, GCKR, LYPLAL1, and PNPLA3, but not PPP1R3B, associate with histologic lobular inflammation/fibrosis. Variants in or near NCAN, GCKR, and PPP1R3B associate with altered serum lipid levels, whereas those in or near LYPLAL1 and PNPLA3 do not. Variants near GCKR and PPP1R3B also affect glycemic traits. Thus, we show that NAFLD is genetically influenced and expand the number of common genetic variants that associate with this trait. Our findings suggest that development of hepatic steatosis, NASH/fibrosis, or abnormalities in metabolic traits are probably influenced by different metabolic pathways that may represent distinct therapeutic targets.
Published: 2011

30. Influenza Virus-Containing Immune Complexes Activate Platelets Through FcγRIIa Resulting In Bioactive Lipid Synthesis and Microparticle Release

Author: Eric Boilard, Guillaume Pare, Cloutier Nathalie, Isabelle Dubuc, Matthieu Rousseau, and Louis Flamand
Subjects: Toll-like receptor, Innate immune system, Immunology, Cell Biology, Hematology, Biology, medicine.disease_cause, Biochemistry, Immunoglobulin G, Immune system, Influenza A virus, medicine, biology.protein, Platelet, Platelet activation, Antibody
Abstract: After red blood cells, platelets represent the most abundant cell lineage in blood, where they sentinel the vasculature and play crucial functions in haemostasis and the prevention of bleedings. Platelets also express a vast array of immune mediators and receptors, suggesting that they can also be regarded as tiny immune cells capable of the recognition of pathogens. Indeed, platelets express functional Toll-like receptors and are thought to actively participate to innate immunity. During severe cases of H1N1 influenza A virus infection, circulating platelets display markers of activation. The specific platelet activation triggers during Influenza infection remain however unknown. In this study, we incubated human platelets with H1N1 influenza A virus (IAV) and monitored platelet activation. We found that IAV is a highly potent inducer of de novo lipid mediators production and a trigger for the release of microparticles from platelets. This activation process takes place independently of the Toll-like receptor 4 and requires the presence of serum, pointing to the contribution of soluble factor(s) present in blood. We observed that the virus scaffolds with immunoglobulin G to form large immune-complexes (∼1micron in size) that activate platelets through the engagement of FcgRIIA. Accordingly, the serum of naïve mice housed in a pathogen-free facility is ineffective at initiating human platelet activation when incubated in the presence of IAV. Intrigued by the fact that all the tested human sera were capable of forming immune complexes with IAV, we hypothesized that significant antibody cross-reactivity between different influenza viruses was sufficient to promote the formation of virus-containing immune complexes. Using in vivo approaches, we found that the antibodies from H3N2 influenza virus-immunized mice generate immune complexes when put in presence of H1N1, activating human platelets and transgenic mouse platelets that express FcgRIIA. Taken together, our observations demonstrate that beyond their activities in haemostasis and innate immunity, platelets can also play a role during the active stage of adaptive immune responses against pathogens through FcγRIIa activation. Disclosures: No relevant conflicts of interest to declare.
Published: 2013

31. Erratum to: Relation between clopidogrel active metabolite levels and different platelet aggregation methods in patients receiving clopidogrel and aspirin

Author: Yan Liang, Marilyn Johnston, Jack Hirsh, Guillaume Pare, Chunjian Li, Shamir Mehta, Koon K. Teo, Debi Sloane, Qilong Yi, Jun Zhu, and John W. Eikelboom
Subjects: Hematology, Cardiology and Cardiovascular Medicine
Published: 2012

32. Stroke genetics informs drug discovery and risk prediction across ancestries

Author: Stéphanie Debette, Aniket Mishra, Rainer Malik, Tsuyoshi Hachiya, Tuuli Jürgenson, Shinichi Namba, Masaru Koido, Quentin Le Grand, Frederick Kamanu, Mingyang Shi, Yunye He, Marios Georgakis, Ilana Caro, Kristi Krebs, Felix Vaura, Naomi Habib, Bendik Winsvold, Yon Ho Jee, Jesper Qvist Thomassen, Vida Abedi, Jara Cárcel-Márquez, Kuang Lin, Marianne Nygaard, Ganesh Chauhan, Hampton Leonard, Chaojie Yang, Ekaterina Yonova-Doing, Maria Knol, Tetsuro Ago, Philippe Amouyel, Christopher Anderson, Nicole Armstrong, Mark Bakker, Traci Bartz, Joshua Bis, Constance Bordes, Sigrid Borte, Anael Cain, Paul Ridker, Zhengming Chen, Michael Chong, John Cole, Rafael de Cid, Matthias Endres, Leslie Ferreira, Natalie Gasca, Vilmundur Gudnason, Jun Hata, Aki Havulinna, Jemma Hopewell, Hyacinth Hyacinth, Michael Inouye, Mina Jacob, Christina Jeon, Christina Jern, Masahiro Kamouchi, Keith Keene, Takanari Kitazono, Steven Kittner, Takahiro Konuma, Amit Kumar, Paul Lacaze, Lenore Launer, Kaido Lepik, Jiang Li, Liming Li, Ani Manichaikul, Hugh Markus, Nicholas Marston, Thomas Meitinger, Braxton Mitchell, Felipe Montellano, Takayuki Morisaki, Thomas Mosley, Mike Nalls, Børge Nordestgaard, Martin O'Donnell, Yukinori Okada, Guillaume Pare, Annette Peters, Bruce Psaty, Stephen Rich, Jonathan Rosand, Marc Sabatine, Ralph Sacco, Danish Saleheen, Else Charlotte Sandset, Muralidharan Sargurupremraj, Makoto Sasaki, Claudia Satizabal, Carsten Schmidt, Atsushi Shimizu, Nicholas Smith, Daniel Strbian, Yoichi Sutoh, Kozo Tanno, Steffen Tiedt, Nuria Torres-Aguila, David-Alexandre Trégouët, Stella Trompet, Anil Tuladhar, Anne Tybjærg-Hansen, Marion van Vugt, Riina Vibo, Kerri Wiggins, Daniel Woo, Huichun Xu, Qiong Yang, Mark Lathrop, Iona Millwood, Christian Gieger, Toshiharu Ninomiya, Hans Grabe, J Wouter Jukema, Ina Rissanen, Sudha Seshadri, William Longstreth, Daniel Chasman, Joanna Howson, Marguerite Irvin, Hieab Adams, Sylvia Wasssertheil-Smoller, Kaare Christensen, M. Arfan Ikram, Tatjana Rundek, Jerome Rotter, Moeen Riaz, Eleanor Simonsick, Janika Kõrv, Paulo França, Myriam Fornage, Ramin Zand, Kameshwar Prasad, Ruth Frikke-Schmidt, Frank-Erik de Leeuw, Thomas Liman, Karl Georg Haeusler, Ynte Ruigrok, Peter Heuschmann, Keum Jung, John-Anker Zwart, Teemu Niiranen, Christian Ruff, Israel Fernández-Cadenas, Robin Walters, Lili Milani, Yoichiro Kamatani, and Martin Dichgans
Abstract: Previous genome-wide association studies (GWAS) of stroke, the second leading cause of death, have been conducted in populations of predominantly European ancestry.1,2 We undertook cross-ancestry GWAS meta-analyses of stroke and its subtypes in 110,182 stroke patients (33% non-European) and 1,503,898 control individuals of five ancestries from population- and clinic-based studies, nearly doubling the number of cases in previous stroke GWAS. We identified association signals at 89 independent loci, of which 61 were novel. Effect sizes were overall highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis using a novel machine-learning approach,3 transcriptome and proteome-wide association analyses revealed putative causal genes (e.g. SH3PXD2A and FURIN) and variants (e.g. at GRK5 and NOS3). Using a novel three-pronged approach,4 we provided genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWAS with vascular risk factor GWAS (iPGS) showed strong prediction of ischemic stroke risk in European and, for the first time, East-Asian populations.5,6 The iPGS performed better than stroke PGS alone and better than previous best iPGS, in Europeans and East-Asians. Transferability of European-specific iPGS to East-Asians was limited. Stroke genetic risk scores were predictive of ischemic stroke independent of clinical risk factors in 52,600 clinical trial participants with cardiometabolic disease and performed considerably better than previous scores, both in Europeans and East-Asians. Altogether our results provide critical insight to inform biology, reveal potential drug targets for intervention, and provide genetic risk prediction tools across ancestries for targeted prevention.
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33. Novel biomarkers predicting a microvascular composite outcome in people with dysglycaemia in the ORIGIN trial

Author: Gerstein, Hertzel C., Guillaume Pare, Mcqueen, Matthew, Lee, Shunfu, Haenel, Heinz, and Hess, Sibylle

34. Performance of the validated ORIGIN cardiovascular biomarker panel in HOPE study participants with diabetes

Author: Gerstein, Hertzel C., Guillaume Pare, Mcqueen, Matthew, Lee, Shunfu, Haenel, Heinz, and Hess, Sibylle

35. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting

Author: Chauhan, Ganesh, Adams, Hieab H H, Jian, Xueqiu, Sharma, Pankaj, Sudlow, Cathie L M, Rosand, Jonathan, Woo, Daniel, Cole, John W, Meschia, James F, Slowik, Agnieszka, Thijs, Vincent, Lindgren, Arne, Melander, Olle, Malik, Rainer, Grewal, Raji P, Rundek, Tatjana, Rexrode, Kathy, Rothwell, Peter M, Arnett, Donna K, Jern, Christina, Johnson, Julie A, Benavente, Oscar R, Wasssertheil-Smoller, Sylvia, Lee, Jin-Moo, Traylor, Matthew, Wong, Quenna, Mitchell, Braxton D, Rich, Stephen S, McArdle, Patrick F, Geerlings, Mirjam I, van der Graaf, Yolanda, de Bakker, Paul I W, Asselbergs, Folkert W, Srikanth, Velandai, Thomson, Russell, Pulit, Sara L, McWhirter, Rebekah, Moran, Chris, Callisaya, Michele, Phan, Thanh, Rutten-Jacobs, Loes C A, Bevan, Steve, Tzourio, Christophe, Mather, Karen A, Sachdev, Perminder S, van Duijn, Cornelia M, Amouyel, Philippe, Worrall, Bradford B, Dichgans, Martin, Kittner, Steven J, Markus, Hugh S, Ikram, Mohammad A, Fornage, Myriam, Launer, Lenore J, Seshadri, Sudha, Longstreth, W. T., Debette, Stéphanie, Mazoyer, Bernard, Network, Stroke Genetics, Almgren, Peter, Anderson, Christopher D, Attia, John, Ay, Hakan, Brown, Robert D, Bustamante, Mariana, Zhu, Yi-Cheng, Cheng, Yu-Ching, Cotlarciuc, Ioana, Cruchaga, Carlos, de Bakker, Paul Iw, Delavaran, Hossein, Engström, Gunnar, Kaffashian, Sara, Heitsch, Laura, Holliday, Elizabeth, Ibanez, Laure, Ilinca, Andreea, Irvin, Marguerite R, Jackson, Rebecca D, Jimenez-Conde, Jordi, Jood, Katarina, Schilling, Sabrina, Kissela, Brett M, Kleindorfer, Dawn O, Labovitz, Daniel, Laurie, Cathy C, Lemmens, Robin, Levi, Christopher, Li, Linxin, Lindgren, Arne G, Beecham, Gary W, Maguire, Jane, Müller-Nurasyid, Martina, Norrving, Bo, Peddareddygari, Leema Reddy, Pera, Joanna, Satizabal, Claudia L, Montine, Thomas J, Rexrode, Kathryn, Ribasés, Marta, Roquer, Jaume, Rost, Natalia S, Sacco, Ralph L, Schmidt, Reinhold, Schellenberg, Gerard D, Soriano-Tárraga, Carolina, Stanne, Tara, Stauch, Konstantin, Stine, O. C., Sudlow, Cathie Lm, Thijs, Vincent N S, Weir, David, Williams, Stephen R, Kjartansson, Olafur, Xu, Huichun, Hyacinth, Hyacinth I, Marini, Sandro, Nyquist, Paul, Lewis, Cathryn, Hansen, Bjorn, Guðnason, Vilmundur, Biffi, Alessandro, Kourkoulis, Christina, Anderson, Chris, Giese, Anne-Katrin, Sacco, Ralph, Chung, Jong-Won, Kim, Gyeong-Moon, Knopman, David S, Lubitz, Steven, Bourcier, Romain, Howson, Joanna, Granata, Alessandra, Drazyk, Anna, Markus, Hugh, Wardlaw, Joanna, Mitchell, Braxton, Cole, John, Hopewell, Jemma, Griswold, Michael E, Walters, Robin, Turnbull, Iain, Worrall, Bradford, Bis, Josh, Reiner, Alex, Dhar, Raj, Prasad, Kameshwar, Sarnowski, Chloé, Windham, B Gwen, Aparicio, Hugo Javier, Yang, Qiong, Chasman, Daniel, Phuah, Chia-Ling, Liu, Guiyou, Elkind, Mitchell, Lange, Leslie, Rost, Natalia, James, Michael, Gottesman, Rebecca F, Stewart, Jill, Vojinovic, Dina, Parati, Eugenio, Boncoraglio, Giorgio, Zand, Ramin, Bijlenga, Philippe, Selim, Magdy, Grond-Ginsbach, Caspar, Strbian, Daniel, Mosley, Thomas H, Tomppo, Liisa, Sallinen, Hanne, Pfeiffer, Dorothea, Torres, Nuria, Barboza, Miguel, Laarman, Melanie, Carriero, Roberta, Soriano, Carolina, Gill, Dipender, Debette, Stephanie, Mishra, Aniket, Wu, Jer-Yuarn, Ko, Tai-Ming, Bione, Silvia, Tatlisumak, Turgut, Holmegaard, Lukas, Yue, Suo, Bis, Joshua C, Saba, Yasaman, Bersano, Anna, Schlicht, Kristina, Ninomiya, Toshiharu, Oberstein, Saskia Lesnik, Lee, Tsong-Hai, Schmidt, Helena, Wasselius, Johan, Drake, Mattias, Stenman, Martin, Crawford, Katherine, Lena, Umme, Mateen, Farrah, Takeuchi, Fumihiko, Wu, Ona, Schirmer, Markus, Cramer, Steve, Golland, Polina, Brown, Robert, Meschia, James, Ross, Owen A, Pare, Guillaume, Chong, Mike, Yamaguchi, Shuhei, Gwinn, Katrina, Chen, Christopher, Koenig, Jim, Giralt, Eva, Saleheen, Danish, de Leeuw, Frank-Erik, Klijn, Karin, Kamatani, Yoichiro, Kubo, Michiaki, Nabika, Toru, Okada, Yukinori, Pedersen, Annie, Olsson, Maja, Martín, Juan José, Tan, Eng King, Frid, Petrea, Lee, Chaeyoung, Tregouet, David, Leung, Thomas, Kato, Norihiro, Choy, Richard, Loo, Keat Wei, Rinkel, Gabriel, Franca, Paulo, Cendes, Iscia, Carrera, Caty, Fernandez-Cadenas, Israel, Montaner, Joan, Kim, Helen, Rajan, Kumar B, Owolabi, Mayowa, Sofat, Reecha, Bakker, Mark, Ruigrok, Ynte, Hauer, Allard, van der Laan, Sander W, Irvin, Ryan, Sargurupremraj, Murali, Pezzini, Alessandro, Aggarwal, Neelum T, Abd-Allah, Foad, Liebeskind, David, Tan, Rhea, Danesh, John, Donatti, Amanda, Avelar, Wagner, Broderick, Joseph, Sudlow, Cathie, De Jager, Philip L, Rannikmae, Kristiina, McDonough, Caitrin Wheeler, van Agtmael, Tom, Walters, Matthew, Söderholm, Martin, Lorentzen, Erik, Olsson, Sandra, Olsson, Martina, Akinyemi, Rufus, Evans, Denis A, Cotlatciuc, Ioana, McArdle, Patrick, Dave, Tushar, Kittner, Steven, Faber, James E, Millwood, Iona, Márquez, Elsa Valdés, Mancuso, Michelangelo, Vibo, Riina, Teumer, Alexander, Psaty, Bruce M, Korv, Janika, Majersik, Jennifer, DeHavenon, Adam, Alexander, Matthew, Sale, Michele, Southerland, Andrew, Owens, Debra, Psaty, Bruce, Rotter, Jerome I, Wolfe, Stacey Quintero, Langefeld, Carl, Konrad, Jan, Sheth, Kevin, Falcone, Guido, Donahue, Kathleen, Simpkins, Alexis N, Liang Byorn, Tan Wei, Rice, Kenneth, Chan, Bernard, Clatworthy, Phil, Florez, Jose, Harshfield, Eric, Hozawa, Atsushi, Hsu, Chung, Hu, Chaur-Jong, Ihara, Masafumi, Lange, Marcos, Lopez, Oscar L, Lee, Soo Ji, Lee, I-Hui, Musolino, Patricia, Nakatomi, Hirofumi, Park, Kwang-Yeol, Riley, Chris, Sung, Joohon, Suzuki, Hideaki, Vo, Katie, Liao, Jiemin, Washida, Kazuo, Ibenez, Laura Garcia, Hofman, Albert, Algra, Ale, Reiner, Alex P, Doney, Alexander S F, Gschwendtner, Andreas, Vicente, Astrid M, Nordestgaard, Børge G, Carty, Cara L, Cheng, Ching-Yu, Palmer, Colin N A, Gamble, Dale M, Ringelstein, E Bernd, Valdimarsson, Einar, Davies, Gail, Wong, Tien Y, Pasterkamp, Gerard, Kuhlenbäumer, Gregor, Thorleifsson, Gudmar, Falcone, Guido J, Pare, Guillame, Ikram, Mohammad K, Aparicio, Hugo J, Deary, Ian, Hopewell, Jemma C, Liu, Jingmin, van der Lee, Sven J, Attia, John R, Ferro, Jose M, Bis, Joshua, Furie, Karen, Stefansson, Kari, Berger, Klaus, Kostulas, Konstantinos, Rannikmae, Kristina, Ikram, M Arfan, Sargurupremraj, Muralidharan, Amin, Najaf, Benn, Marianne, Farrall, Martin, Pandolfo, Massimo, Nalls, Mike, van Zuydam, Natalie R, Chouraki, Vincent, Abrantes, Patricia, Higgins, Peter, Lichtner, Peter, DeStefano, Anita L, Clarke, Robert, Abboud, Sherine, Oliveira, Sofia A, Gretarsdottir, Solveig, Mosley, Thomas, Battey, Thomas Wk, Thorsteinsdottir, Unnur, Thijs, Vincent Ns, Zhao, Wei, Chen, Wei-Min, Romero, Jose R, Albert, Marilyn S, Albin, Roger L, Apostolova, Liana G, Arnold, Steven E, Asthana, Sanjay, Atwood, Craig S, Baldwin, Clinton T, Barmada, M Michael, Barnes, Lisa L, Maillard, Pauline, Barral, Sandra, Beach, Thomas G, Becker, James T, Beekly, Duane, Bennett, David A, Bigio, Eileen H, Bird, Thomas D, Blacker, Deborah, Boeve, Bradley F, DeCarli, Charles, Boxer, Adam, Burke, James R, Burns, Jeffrey M, Buxbaum, Joseph D, Byrd, Goldie S, Cai, Guiqing, Cairns, Nigel J, Cantwell, Laura B, Cao, Chuanhai, Carlsson, Cynthia M, Wardlaw, Joanna M, Carney, Regina M, Carrasquillo, Minerva M, Carroll, Steven L, Chui, Helena C, Clark, David G, Cribbs, David H, Crocco, Elizabeth A, Hernández, Maria Del C Valdés, Demirci, F Yesim, Dick, Malcolm, Dickson, Dennis W, Duara, Ranjan, Ertekin-Taner, Nilufer, Faber, Kelley M, Fallin, M Daniele, Fallon, Kenneth B, Fardo, David W, Luciano, Michelle, Farlow, Martin R, Farrer, Lindsay A, Ferris, Steven, Foroud, Tatiana M, Frosch, Matthew P, Galasko, Douglas R, Gearing, Marla, Geschwind, Daniel H, Ghetti, Bernardino, Gilbert, John R, Hofer, Edith, Liewald, David, Go, Rodney C P, Goate, Alison M, Graff-Radford, Neill R, Green, Robert C, Griffith, Patrick, Growdon, John H, Haines, Jonathan L, Hakonarson, Hakon, Hamilton, Ronald L, Hamilton-Nelson, Kara L, Deary, Ian J, Haroutunian, Vahram, Harrell, Lindy E, Honig, Lawrence S, Huebinger, Ryan M, Hulette, Christine M, Hyman, Bradley T, Jicha, Gregory A, Jin, Lee-Way, Jun, Gyungah, Kamboh, M Ilyas, Starr, John M, Karydas, Anna, Kauwe, John S K, Kaye, Jeffrey A, Kim, Ronald, Kowall, Neil W, Kramer, Joel H, Kukull, Walter A, Kunkle, Brian W, LaFerla, Frank M, Lah, James J, Bastin, Mark E, Lang-Walker, Rosalyn, Larson, Eric B, Leverenz, James B, Levey, Allan I, Li, Ge, Lieberman, Andrew P, Logue, Mark W, Lunetta, Kathryn L, Lyketsos, Constantine G, Muñoz Maniega, Susana, Mack, Wendy J, Manly, Jennifer J, Marson, Daniel C, Martin, Eden R, Martiniuk, Frank, Mash, Deborah C, Masliah, Eliezer, Mayeux, Richard, McKee, Ann C, Mesulam, Marsel, Slagboom, P Eline, Miller, Bruce L, Miller, Carol A, Miller, Joshua W, Morris, John C, Murrell, Jill R, Naj, Adam C, Obisesan, Thomas O, Olichney, John M, Pankratz, Vernon S, Beekman, Marian, Parisi, Joseph E, Partch, Amanda, Paulson, Henry L, Pericak-Vance, Margaret A, Perry, William, Peskind, Elaine, Petersen, Ronald C, Pierce, Aimee, Poon, Wayne W, Potter, Huntington, Deelen, Joris, Quinn, Joseph F, Raj, Ashok, Raj, Towfique, Raskind, Murray, Reiman, Eric M, Reisberg, Barry, Reitz, Christiane, Ringman, John M, Roberson, Erik D, Rosen, Howard J, Uh, Hae-Won, Rosenberg, Roger N, Sager, Mark A, Sano, Mary, Saykin, Andrew J, Schneider, Julie A, Schneider, Lon S, Seeley, William W, Smith, Amanda G, Sonnen, Joshua A, Spina, Salvatore, Stern, Robert A, Swerdlow, Russell H, Tanzi, Rudolph E, Thornton-Wells, Tricia A, Trojanowski, John Q, Troncoso, Juan C, Tsuang, Debby W, Valladares, Otto, Van Deerlin, Vivianna M, Trompet, Stella, Brodaty, Henry, Van Eldik, Linda J, Vardarajan, Badri N, Vinters, Harry V, Vonsattel, Jean Paul, Wang, Li-San, Weintraub, Sandra, Welsh-Bohmer, Kathleen A, Williamson, Jennifer, Wingo, Thomas S, Wishnek, Sarah, Wright, Margaret J, Woltjer, Randall L, Wright, Clinton B, Younkin, Steven G, Yu, Chang-En, Yu, Lei, Chu, Audrey Y, Havulinna, Aki S, Ames, David, Smith, Albert Vernon, Choi, Seung Hoan, Garcia, Melissa E, Manichaikul, Ani, Gustafsson, Stefan, Bartz, Traci M, Boncoraglio, Giorgio B, Bellenguez, Céline, Vidal, Jean Sebastien, Wiggins, Kerri L, Xue, Flora, Ripatti, Samuli, Liu, Yongmei, Hoed, Marcel den, Heckbert, Susan R, Smith, Nicholas L, Buring, Julie E, Ridker, Paul M, Berr, Claudine, Dartigues, Jean-François, Beecham, Ashley H, Hamsten, Anders, Magnusson, Patrik K, Pedersen, Nancy L, Lannfelt, Lars, Lind, Lars, Lindgren, Cecilia M, Morris, Andrew P, Koudstaal, Peter J, Portegies, Marileen Lp, Blanton, Susan H, Uitterlinden, André G, de Craen, Anton Jm, Ford, Ian, Jukema, J Wouter, Stott, David J, Allen, Norrina B, Sale, Michele M, Johnson, Andrew D, White, Charles C, Paulista Markus, Marcello Ricardo, Nalls, Michael A, Beiser, Alexa, Vartiainen, Erkki, French, Curtis R, Kurth, Tobias, Harris, Tamara B, deStefano, Anita L, Schmidt, Carsten Oliver, Salomaa, Veikko, Wen, Wei, Ingelsson, Erik, Chasman, Daniel I, Verhaaren, Benjamin F J, Hilal, Saima, Thalamuthu, Anbupalam, Smith, Jennifer A, Ikram, M Kamran, Adams, Hieab H, Lopez, Lorna M, van Buchem, Mark A, Armstrong, Nicola J, van der Grond, Jeroen, Smith, Albert V, Hegenscheid, Katrin, de Andrade, Mariza, Atkinson, Elizabeth J, Beiser, Alexa S, Boerwinkle, Eric, Chong, Elizabeth, Brickman, Adam M, Bryan, R Nick, Chen, Christopher P L H, de Craen, Anton J M, Crivello, Fabrice, Schofield, Peter R, Dufouil, Carole, Elkind, Mitchell S V, Freudenberger, Paul, Habes, Mohamad, Heiss, Gerardo, Kwok, John B, Ibrahim-Verbaas, Carla A, Lewis, Cora E, Liewald, David C M, van der Lugt, Aad, Martinez, Oliver O, Nauck, Matthias, Niessen, Wiro J, Oostra, Ben A, Rice, Kenneth M, von Sarnowski, Bettina, Schreiner, Pamela J, Schuur, Maaike, Sidney, Stephen S, Sigurdsson, Sigurdur, Stott, David J M, van Swieten, John C, Töglhofer, Anna Maria, Turner, Stephen T, Vernooij, Meike W, Wang, Jing J, Wolf, Christiane, Zijdenbos, Alex, Kardia, Sharon L R, DeCarli, Charles C, Seshadri, Sudha S, Kavousi, Maryam, Franceschini, Nora, Isaacs, Aaron, Abecasis, Gonçalo R, Schminke, Ulf, Post, Wendy, Cupples, L Adrienne, Huffman, Jennifer E, Lehtimäki, Terho, Baumert, Jens, Münzel, Thomas, Dehghan, Abbas, North, Kari, Oostra, Ben, Stoegerer, Eva-Maria, Hayward, Caroline, Raitakari, Olli, Meisinger, Christa, Schillert, Arne, Sanna, Serena, Völzke, Henry, Thorsson, Bolli, Fox, Caroline S, Wittfeld, Katharina, Rivadeneira, Fernando, Nambi, Vijay, Halperin, Eran, Petrovic, Katja E, Peltonen, Leena, Wichmann, H Erich, Schnabel, Renate B, Dörr, Marcus, Parsa, Afshin, Aspelund, Thor, Grabe, Hans J, Demissie, Serkalem, Kathiresan, Sekar, Reilly, Muredach P, Taylor, Kent, Uitterlinden, Andre, Couper, David J, Sitzer, Matthias, Kähönen, Mika, Illig, Thomas, Wild, Philipp S, Hosten, Norbert, Orru, Marco, Lüdemann, Jan, Shuldiner, Alan R, Eiriksdottir, Gudny, Seissler, Jochen, Zeller, Tanja, Usala, Gianluca, Ernst, Florian, D'Agostino, Ralph B, O'Leary, Daniel H, Ballantyne, Christie, Thiery, Joachim, Ziegler, Andreas, Lakatta, Edward G, Chilukoti, Ravi Kumar, Völker, Uwe, Wolf, Philip A, Polak, Joseph F, Li, Xia, Rathmann, Wolfgang, Uda, Manuela, Klopp, Norman, Wilson, James F, Viikari, Jorma, Koenig, Wolfgang, Blankenberg, Stefan, Newman, Anne B, Witteman, Jacqueline, van Duijn, Cornelia, Scuteri, Angelo, Homuth, Georg, Gudnason, Vilmundur, O'Donnell, Christopher J, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Lund University [Lund], Stroke Genetics Network (SiGN), METASTROKE, Alzheimer’s Disease Genetics Consortium (ADGC), Neurology Working Group of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, Peter Almgren, MSC, Christopher D. Anderson, MD, Donna K. Arnett, PhD, MSPH, John Attia, MD, PhD, FRACP, FRCPC, Hakan Ay, MD, Oscar R. Benavente, MD, Steve Bevan, PhD, Robert D. Brown, MD, Mariana Bustamante, PhD, Yu-Ching Cheng, PhD, John W. Cole, MD, MS, Ioana Cotlarciuc, PhD, Carlos Cruchaga, PhD, Paul IW. de Bakker, PhD, Hossein Delavaran, MD, PhD, Martin Dichgans, MD, Gunnar Engström, MD, PHD, PROF, Myriam Fornage, PhD, Raji P. Grewal, MD, Laura Heitsch, MD, Elizabeth Holliday, MSc, PhD, Laure Ibanez, PhD, Andreea Ilinca, MD, Marguerite R. Irvin, PhD, Rebecca D. Jackson, MD, Christina Jern, MD, PhD, Jordi Jimenez-Conde, MD, PhD, Julie A. Johnson, PharmD, Katarina Jood, MD, PhD, Brett M. Kissela, MD, MS, Steven J. Kittner, MD, Dawn O. Kleindorfer, MD, MS, Daniel Labovitz, MD, Cathy C. Laurie, PhD, Jin-Moo Lee, MD, PhD, Robin Lemmens, MD PhD, Christopher Levi, MBBS B Med Sci FRACP, Linxin Li, DPhil, Arne G. Lindgren, MD, PhD, Jane Maguire, PhD, Hugh S. Markus, FRCP, Patrick F. McArdle, PhD, Olle Melander, MD, PHD, PROF, James F. Meschia, MD, Braxton D. Mitchell, PhD, Martina Müller-Nurasyid, PhD, Bo Norrving, MD, PhD, Leema Reddy Peddareddygari, MD, Joanna Pera, MD, PhD, Sara L. Pulit, PhD, Kathryn Rexrode, MD, MPH, Marta Ribasés, PhD, BSc, Jaume Roquer, MD, PhD, Natalia S. Rost, MD, Peter M. Rothwell, FMedSci, Tatjana Rundek, MD PhD, Ralph L. Sacco, MD MS, Reinhold Schmidt, MD, Pankaj Sharma, MD PhD, Agnieszka Slowik, MD, PhD, Carolina Soriano-Tárraga, BSc, PhD, Tara Stanne, PhD, Konstantin Stauch, PhD, O C. Stine, PhD, Cathie LM. Sudlow, BMBCh, MSc, DPhil, FRCP (Ed), Vincent N.S. Thijs, MD, PhD, Sylvia Wasssertheil-Smoller, PhD, David Weir, PhD, Stephen R. Williams, PhD, Quenna Wong, PhD, Daniel Woo, MD, MS, Bradford B. Worrall, MD, MSc, Huichun Xu, MD, PhD, Sudha Seshadri, MD, Hyacinth I Hyacinth, MD, Sandro Marini, MD, Paul Nyquist, MD, PhD, Cathryn Lewis, PhD, Bjorn Hansen, MD, Bo Norrving, MD, PhD, Jonathan Rosand, MD, Alessandro Biffi, MD, Christina Kourkoulis, Bachelor, Chris Anderson, MD, MMSc, Anne-Katrin Giese, MD, Ralph Sacco, MD, MS, Pankaj Sharma, MD, PhD, Jong-Won Chung, MD, MSc, Gyeong-Moon Kim, MD, Steven Lubitz, MD, MPH, Romain Bourcier, MD, Joanna Howson, PhD, Alessandra Granata, PhD, Anna Drazyk, MRCPI, Hugh Markus, MD, Joanna Wardlaw, MD, Braxton Mitchell, MPH, PHD, John Cole, MD, MS, Jemma Hopewell, PhD, FESC, Robin Walters, MA, PhD, PgDip, Iain Turnbull, BA(Hons) MB BChir MRCP(UK) MRCGP, Bradford Worrall, MD, MSc, Josh Bis, PhD, Alex Reiner, MD, MSc, Raj Dhar, MD, Laura Heitsch, MD, Jin-Moo Lee, MD, PhD, Kameshwar Prasad, MD, DM, MMSc, FRCP(Edin), FAMS, Chloé Sarnowski, PhD, Hugo Javier Aparicio, MD, Qiong Yang, PhD, Daniel Chasman, PhD, Kathryn Rexrode, MD, MPH, Chia-Ling Phuah, MD, Guiyou Liu, PhD, Mitchell Elkind, MD, MSc, Leslie Lange, PhD, Natalia Rost, MD, Michael James, MD, Jill Stewart, PhD, Dina Vojinovic, MD, MS, Vincent Thijs, MD, PhD, Eugenio Parati, MD, Giorgio Boncoraglio, MD, Ramin Zand, MD, Philippe Bijlenga, MD, PhD, Magdy Selim, MD, PhD, Caspar Grond-Ginsbach, PhD, Daniel Strbian, MD, PhD, Liisa Tomppo, MD, Hanne Sallinen, MD, Dorothea Pfeiffer, MD, Nuria Torres, MSc, Miguel Barboza, MD, Melanie Laarman, PhD candidate, Roberta Carriero, PhD, Elizabeth Holliday, PhD, Jordi Jimenez-Conde, MD, PhD, Carolina Soriano, BSc, PhD, Dipender Gill, PhD, Stephanie Debette, MD, PhD, Aniket Mishra, PhD, Jer-Yuarn Wu, PhD, Tai-Ming Ko, PhD, Silvia Bione, PhD, Katarina Jood, MD, PhD, Turgut Tatlisumak, MD, PhD, Lukas Holmegaard, PhD, Suo Yue, system engineer, Anna bersano, MD, PhD, Joanna Pera, MD, PhD, Agnieszka Slowik, MD, PhD, Christopher Levi, MBBS B Med Sci FRACP, Kristina Schlicht, Dipl. Biol., Robin Lemmens, MD, PhD, Toshiharu Ninomiya, MD, PhD, Saskia Lesnik Oberstein, PhD, Tsong-Hai Lee, MD, PhD, Rainer Malik, PhD, Martin Dichgans, MD, Arne Lindgren, MD, PhD, Johan Wasselius, MD, PhD, Mattias Drake, student, Olle Melander, MD, PHD, Martin Stenman, MD, Andreea Ilinca, MD, Katherine Crawford, BS, Umme Lena, Bachelors of Arts, Farrah Mateen, MD, PhD, Hakan Ay, MD, Ona Wu, PhD, Markus Schirmer, PhD, Steve Cramer, MD, Polina Golland, PhD, Robert Brown, MD, MPH, James Meschia, MD, Owen A. Ross, PhD, Guillaume Pare, MD, MSc, FRCPC, Mike Chong, MSc, Tatjana Rundek, MD PhD, Katrina Gwinn, MD, Christopher Chen, BMBCh (Oxon), MRCP, FRCP, Jim Koenig, PhD, Eva Giralt, PhD, Danish Saleheen, MBBS, PhD, Frank-Erik de Leeuw, MD, PhD, Karin Klijn, MD, PhD, Yoichiro Kamatani, MD, PhD, Michiaki Kubo, MD, PhD, Yukinori Okada, MD, PhD, Annie Pedersen, MD, Maja Olsson, PhD, Juan José Martín, MD, Huichun Xu, MD, PhD, Eng King Tan, MD, Petrea Frid, MD, Chaeyoung Lee, PhD, David Tregouet, PhD, Thomas Leung, MB, ChB, MRCP, FHKCP, FHKAM, Richard Choy, BSc (Brad.), MSc(Med) (Birm.), PhD (CUHK), Christina Jern, MD, PhD, Keat Wei Loo, BSc, PhD, Gabriel Rinkel, MD, Paulo Franca, PhD, Iscia Cendes, MD, PhD, Caty Carrera, MD, Israel Fernandez-Cadenas, PhD, Joan Montaner, MD, PhD, Helen Kim, PhD, Mayowa Owolabi, MBBS, MSc, DrM, MWACP, FMCP, FAAN, FAS, Reecha Sofat, MD, Mark Bakker, PhD, Ynte Ruigrok, MD, PhD, Allard Hauer, PhD candidate, Sara L. Pulit, PhD, Sander W. van der Laan, PhD, Ryan Irvin, PhD, Murali Sargurupremraj, PhD, Alessandro Pezzini, MD, Foad Abd-Allah, MD, David Liebeskind, MD, Matthew Traylor, PhD, Rhea Tan, BSc (Hons), John Danesh, MD, DPhil, Loes Rutten-Jacobs, PhD, Amanda Donatti, PhD, student, Wagner Avelar, PhD, Joseph Broderick, MD, Daniel Woo, MD, MS, Cathie Sudlow, BMBCh, MSc, DPhil, FRCP, Kristiina Rannikmae, MD, Caitrin Wheeler McDonough, PhD, Tom van Agtmael, PhD, Matthew Walters, MD, MBChB, FRCP, Martin Söderholm, MD, PhD, Erik Lorentzen, Ph.Lic., Sandra Olsson, PhD, MSc, Tara Stanne, PhD, Martina Olsson, MSc, Rufus Akinyemi, PhD, MSc, MWACP, FMCP, Ioana Cotlatciuc, PhD, Patrick McArdle, PhD, Tushar Dave, MSc, Steven Kittner, MD, MPH, John Attia, MD, PhD, James E Faber, PhD, Iona Millwood, DPhil, Elsa Valdés Márquez, PhD, Michelangelo Mancuso, MD, PhD, Riina Vibo, MD, PhD, Janika Korv, MD, PhD, FESO, Jane Maguire, PhD, BN (Hons), BA, RN, Myriam Fornage, PhD, Jennifer Majersik, MD, Adam DeHavenon, MD, Matthew Alexander, MD, Michele Sale, PhD, Andrew Southerland, MD, MSc, Debra Owens, NNP, Bruce Psaty, MD, PhD, W. T. Longstreth, Jr, MD, MPH, Stacey Quintero Wolfe, MD, FAANS, Carl Langefeld, PhD, Carlos Cruchaga, PhD, Jan Konrad, administrative coordinator, Kevin Sheth, MD, Guido Falcone, MD, ScD, MPH, Kathleen Donahue, BS, Alexis N Simpkins, MD, PhD, Tan Wei Liang Byorn, MMBS, student, Bernard Chan, MD, Phil Clatworthy, MD, PhD, Jose Florez, MD, Eric Harshfield, PhD, Atsushi Hozawa, MD, Chung Hsu, MD, PhD, Chaur-Jong Hu, MD, PhD, Laure Ibanez, PhD, Masafumi Ihara, MD, PhD, FACP, Marcos Lange, PhD, Soo Ji Lee, PhD, MPH, I-Hui Lee, MD, PhD, Patricia Musolino, MD, PhD, Hirofumi Nakatomi, MD, PhD, Kwang-Yeol Park, MD, Stephen S Rich, PhD, Chris Riley, MBA, Joohon Sung, MD, PhD, Hideaki Suzuki, MD, PhD, Katie Vo, MD, Kazuo Washida, MD, PhD, Laura Garcia Ibenez, PhD, Agnieszka Slowik, MD, PhD, Albert Hofman, MD, PhD, Ale Algra, MD, MSc, Alex P Reiner, MD, MSc, Alexander S F Doney, PhD, Andreas Gschwendtner, MD, Andreea Ilinca, MD, Anne-Katrin Giese, MD, Arne Lindgren, MD, PhD, Astrid M Vicente, PhD, Bo Norrving, MD, PhD, Børge G Nordestgaard, MD, PhD, DMSc, Braxton D Mitchell, PhD, Bradford B Worrall, MD, MSc, Bruce M Psaty, MD, PhD, Cara L Carty, PhD, Cathie Sudlow, BMBCh, MSc, DPhil, FRCP, Christopher D Anderson, MD, Christopher Levi, MBBS B Med Sci FRACP, Claudia L Satizabal, PhD, Colin N A Palmer, PhD, Dale M Gamble, CCRP, Daniel Woo, MD, MS, Danish Saleheen, MBBS, PhD, E Bernd Ringelstein, MD, FAHA, Einar Valdimarsson, MD, Elizabeth Holliday, PhD, Gail Davies, PhD, Ganesh Chauhan, PhD, Gerard Pasterkamp, MD, PhD, Giorgio Boncoraglio, MD, Gregor Kuhlenbäumer, MD, PhD, Gudmar Thorleifsson, PhD, Guido J Falcone, MD, ScD, MPH, Guillame Pare, MD, MSc, FRCPC, Helena Schmidt, MD, PhD, Hossein Delavaran, MD, PhD, Hugh S Markus, MD, Hugo J Aparicio, MD, Ian Deary, PhD, Ioana Cotlarciuc, PhD, Israel Fernandez-Cadenas, PhD, James Meschia, MD, Jemma C Hopewell, PhD, FESC, Jingmin Liu, MSc, Joan Montaner, MD, PhD, Joanna Pera, MD, PhD, John Cole, MD, MS, John R Attia, MD, PhD, FRACP, FRCPC, Jonathan Rosand, MD, MSc, Jose M Ferro, MD, PhD, Joshua Bis, PhD, Karen Furie, MD, Kari Stefansson, MD, Klaus Berger, MD, PhD, Konstantinos Kostulas, MD, PhD, Kristina Rannikmae, MD, M Arfan Ikram, MD, PhD, Marianne Benn, MD, PhD, Martin Dichgans, MD, Martin Farrall, FRCPath, Massimo Pandolfo, MD, Matthew Traylor, PhD, Matthew Walters, MD, MBChB, FRCP, Michele Sale, PhD, Mike Nalls, PhD, Myriam Fornage, PhD, Natalie R van Zuydam, PhD, Pankaj Sharma, MD, PhD, Patricia Abrantes, PhD, Paul IW de Bakker, PhD, Peter Higgins, FRCP, Peter Lichtner, PhD, Peter M Rothwell, FMedSci, Philippe Amouyel, MD, PhD, Qiong Yang, PhD, Rainer Malik, PhD, Reinhold Schmidt, MD, Robert Clarke, MD, MRCP, FRCP, FFPH, Robin Lemmens, MD, PhD, Sander W van der Laan, PhD, Sara L Pulit, PhD, Sherine Abboud, MD, PhD, Sofia A Oliveira, PhD, Solveig Gretarsdottir, PhD, Stephanie Debette, MD, PhD, Stephen R Williams, PhD, Steve Bevan, BSc, PhD, Steven J Kittner, MD, Sudha Seshadri, MD, Thomas Mosley, PhD, Thomas WK Battey, BS, Turgut Tatlisumak, MD, PhD, Unnur Thorsteinsdottir, PhD, Vincent NS Thijs, MD, PhD, W T Longstreth, MD, Wei Zhao, MD, PhD, Wei-Min Chen, PhD, Yu-Ching Cheng, PhD, Marilyn S. Albert, PhD, Roger L. Albin, MD, Liana G. Apostolova, MD, Steven E. Arnold, MD, Sanjay Asthana, MD, Craig S. Atwood, PhD, Clinton T. Baldwin, PhD, M. Michael Barmada, PhD, Lisa L. Barnes, PhD, Sandra Barral, PhD, Thomas G. Beach, MD, PhD, James T. Becker, PhD, Gary W. Beecham, PhD, Duane Beekly, BS, David A. Bennett, MD, Eileen H. Bigio, MD, Thomas D. Bird, MD, Deborah Blacker, MD, ScD, Bradley F. Boeve, MD, Adam Boxer, MD, PhD, James R. Burke, MD, PhD, Jeffrey M. Burns, MD, MS, Joseph D. Buxbaum, PhD, Goldie S. Byrd, PhD, Guiqing Cai, MD, PhD, Nigel J. Cairns, PhD FRCPath, Laura B. Cantwell, MPH, Chuanhai Cao, PhD, Cynthia M. Carlsson, MD, MS, Regina M. Carney, MD, Minerva M. Carrasquillo, PhD, Steven L. Carroll, MD, PhD, Helena C. Chui, PhD, David G. Clark, MD, David H. Cribbs, PhD, Elizabeth A. Crocco, MD, Carlos Cruchaga, PhD, Philip L. De Jager, MD, PhD, Charles DeCarli, MD, F. Yesim Demirci, MD, Malcolm Dick, Dennis W. Dickson, MD, Ranjan Duara, Md, Nilufer Ertekin-Taner, MD, PhD, Denis A. Evans, MD, Kelley M. Faber, MS, M. Daniele Fallin, PhD, Kenneth B. Fallon, MD, David W. Fardo, PhD, Martin R. Farlow, MD, Lindsay A. Farrer, PhD, Steven Ferris, PhD, Tatiana M. Foroud, PhD, Matthew P. Frosch, MD, PhD, Douglas R. Galasko, MD, Marla Gearing, PhD, Daniel H. Geschwind, MD, PhD, Bernardino Ghetti, MD, John R. Gilbert, PhD, Rodney C.P. Go, PhD, Alison M. Goate, DPhil, Neill R. Graff-Radford, MD, Robert C. Green, MD, MPH, Patrick Griffith, MD, John H. Growdon, MD, Jonathan L. Haines, PhD, Hakon Hakonarson, MD, PhD, Ronald L. Hamilton, MD, Kara L. Hamilton-Nelson, MPH, Vahram Haroutunian, PhD, Lindy E. Harrell, MD, PhD, Lawrence S. Honig, MD, PhD, Ryan M. Huebinger, PhD, Christine M. Hulette, MD, Bradley T. Hyman, MD, PhD, Gregory A. Jicha, MD, PhD, Lee-Way Jin, MD, PhD, Gyungah Jun, PhD, M. Ilyas Kamboh, PhD, Anna Karydas, BA, John S.K. Kauwe, PhD, Jeffrey A. Kaye, MD, Ronald Kim, MD, Neil W. Kowall, MD, Joel H. Kramer, PsyD, Walter A. Kukull, PhD, Brian W. Kunkle, PhD, Frank M. LaFerla, PhD, James J. Lah, MD, PhD, Rosalyn Lang-Walker, PhD, Eric B. Larson, MD, MPH, James B. Leverenz, MD, Allan I. Levey, MD, PhD, Ge Li, MD, PhD, Andrew P. Lieberman, MD, PhD, Mark W. Logue, PhD, Oscar L. Lopez, MD, Kathryn L. Lunetta, PhD, Constantine G. Lyketsos, MD, Wendy J. Mack, PhD, Jennifer J. Manly, PhD, Daniel C. Marson, JD, PhD, Eden R. Martin, PhD, Frank Martiniuk, PhD, Deborah C. Mash, PhD, Eliezer Masliah, MD, Richard Mayeux, MD, Ann C. McKee, MD, Marsel Mesulam, MD, Bruce L. Miller, MD, Carol A. Miller, MD, Joshua W. Miller, PhD, Thomas J. Montine, MD, PhD, John C. Morris, MD, Jill R. Murrell, PhD, Adam C. Naj, PhD, Thomas O. Obisesan, MD, John M. Olichney, MD, Vernon S. Pankratz, PhD, Joseph E. Parisi, MD, Amanda Partch, MS, Henry L. Paulson, MD, PhD, Margaret A. Pericak-Vance, PhD, William Perry, BS, Elaine Peskind, MD, Ronald C. Petersen, MD, PhD, Aimee Pierce, MD, Wayne W. Poon, PhD, Huntington Potter, PhD, Joseph F. Quinn, MD, Ashok Raj, MD, Towfique Raj, PhD, Murray Raskind, MD, Eric M. Reiman, MD, Barry Reisberg, MD, Christiane Reitz, MD, PhD, John M. Ringman, MD, MS, Erik D. Roberson, MD, PhD, Howard J. Rosen, MD, Roger N. Rosenberg, MD, Mark A. Sager, MD, Mary Sano, PhD, Andrew J. Saykin, PsyD, Gerard D. Schellenberg, PhD, Julie A. Schneider, MD, MS, Lon S. Schneider, MD, MS, William W. Seeley, MD, Amanda G. Smith, MD, Joshua A. Sonnen, MD, Salvatore Spina, MD, Robert A. Stern, PhD, Russell H. Swerdlow, MD, Rudolph E. Tanzi, PhD, Tricia A. Thornton-Wells, PhD, John Q. Trojanowski, MD, PhD, Juan C. Troncoso, MD, Debby W. Tsuang, MD, Otto Valladares, MS, Vivianna M. Van Deerlin, MD, PhD, Linda J. Van Eldik, PhD, Badri N. Vardarajan, PhD, MS, Harry V. Vinters, MD, Jean Paul Vonsattel, MD, Li-San Wang, PhD, Sandra Weintraub, PhD, Kathleen A. Welsh-Bohmer, PhD, Jennifer Williamson, MS, MPH, Thomas S. Wingo, MD, Sarah Wishnek, MPH, Randall L. Woltjer, MD, PhD, Clinton B. Wright, MD, MS, Steven G. Younkin, MD, PhD, Chang-En Yu, PhD, Lei Yu, PhD, Ganesh Chauhan, PhD, Audrey Y. Chu, PhD, Myriam Fornage, PhD, Joshua C. Bis, PhD, Aki S. Havulinna, DSc, Muralidharan Sargurupremraj, PhD, Albert Vernon Smith, PhD, Hieab H.H. Adams, MSc, Seung Hoan Choi, MA, Stella Trompet, PhD, Melissa E. Garcia, MPH, Ani Manichaikul, PhD, Alexander Teumer, PhD, Stefan Gustafsson, PhD, Traci M. Bartz, MS, Céline Bellenguez, PhD, Jean Sebastien Vidal, MD, Xueqiu Jian, PhD, Olafur Kjartansson, MD, Kerri L. Wiggins, MS, Claudia L. Satizabal, PhD, Flora Xue, MS, Samuli Ripatti, PhD, Yongmei Liu, PhD, Joris Deelen, PhD, Marcel den Hoed, PhD, Susan R. Heckbert, MD, Kenneth Rice, PhD, Nicholas L. Smith, PhD, Quenna Wong, MS, Hugo J. Aparicio, MD, Julie E. Buring, ScD, Paul M Ridker, MD, Claudine Berr, MD, Jean-François Dartigues, MD, Anders Hamsten, MD, Patrik K. Magnusson, PhD, Nancy L. Pedersen, PhD, Lars Lannfelt, MD, Lars Lind, MD, Cecilia M. Lindgren, PhD, Andrew P. Morris, PhD, Albert Hofman, MD, Peter J. Koudstaal, MD, Marileen LP. Portegies, MD, André G. Uitterlinden, PhD, Anton JM de Craen, PhD, Ian Ford, MD, J. Wouter Jukema, MD, David J Stott, MD, Norrina B. Allen, PhD, Michele M. Sale, PhD, Andrew D Johnson, PhD, David A. Bennett, MD, Philip L. De Jager, MD, PhD, Charles C. White, PhD, Hans Jörgen Grabe, MD, Marcello Ricardo Paulista Markus, MD, Oscar L Lopez, MD, Jerome I. Rotter, MD, Michael A. Nalls, PhD, Rebecca F. Gottesman, MD, Michael E. Griswold, PhD, David S. Knopman, MD, B. Gwen Windham, MD, Alexa Beiser, PhD, Erkki Vartiainen, MD, Curtis R. French, PhD, Tobias Kurth, MD, Bruce M. Psaty, MD, Tamara B. Harris, MD, Stephen S Rich, PhD, Anita L. deStefano, PhD, Carsten Oliver Schmidt, PhD, Veikko Salomaa, MD, Thomas H. Mosley, PhD, Erik Ingelsson, MD, PhD, Cornelia M. van Duijn, PhD, Christophe Tzourio, MD, Lenore J Launer, PhD, M. Arfan Ikram, MD, Daniel I. Chasman, PhD, W. T. Longstreth, Jr, MD, MPH, Sudha Seshadri, MD, Stéphanie Debette, MD, Benjamin F.J. Verhaaren, MD, PhD, Stéphanie Debette, MD, PhD, Joshua C. Bis, PhD, Jennifer A. Smith, PhD, MPH, MA, M. Kamran Ikram, MD, PhD, Hieab H. Adams, MSc, Ashley H. Beecham, MSc, Kumar B. Rajan, PhD, Lorna M. Lopez, PhD, Sandra Barral, PhD, Mark A. van Buchem, MD, PhD, Jeroen van der Grond, PhD, Albert V. Smith, PhD, Katrin Hegenscheid, MD, Neelum T. Aggarwal, MD, Mariza de Andrade, PhD, Elizabeth J. Atkinson, PhD, Marian Beekman, PhD, Alexa S. Beiser, PhD, Susan H. Blanton, PhD, Eric Boerwinkle, PhD, Adam M. Brickman, PhD, R. Nick Bryan, MD, PhD, Ganesh Chauhan, PhD, Christopher P.L.H. Chen, FRCP, Vincent Chouraki, MD, PhD, Anton J.M. de Craen, PhD, Fabrice Crivello, PhD, Ian J. Deary, PhD, Joris Deelen, MSc, Philip L. De Jager, MD, PhD, Carole Dufouil, PhD, Mitchell S.V. Elkind, MD, MSc, Denis A. Evans, MD, Paul Freudenberger, MSc, Rebecca F. Gottesman, MD, PhD, Vilmundur Guðnason, MD, PhD, Mohamad Habes, PhD, Susan R. Heckbert, MD, PhD, Gerardo Heiss, MD, Saima Hilal, MBBS, Edith Hofer, PhD, Albert Hofman, MD, PhD, Carla A. Ibrahim-Verbaas, MD, David S. Knopman, MD, Cora E. Lewis, MD, MSPH, Jiemin Liao, MSc, David C.M. Liewald, BSc, Michelle Luciano, PhD, Aad van der Lugt, MD, PhD, Oliver O. Martinez, PhD, Richard Mayeux, MD, MSc, Bernard Mazoyer, MD, PhD, Mike Nalls, PhD, Matthias Nauck, MD, Wiro J. Niessen, PhD, Ben A. Oostra, PhD, Bruce M. Psaty, MD, PhD, Kenneth M. Rice, PhD, Jerome I. Rotter, MD, Bettina von Sarnowski, MD, Helena Schmidt, MD, PhD, Pamela J. Schreiner, PhD, Maaike Schuur, MD, PhD, Stephen S. Sidney, MD, MPH, Sigurdur Sigurdsson, MSc, P. Eline Slagboom, PhD, David J.M. Stott, MD, John C. van Swieten, MD, PhD, Alexander Teumer, PhD, Anna Maria Töglhofer, MSc, Matthew Traylor, PhD, Stella Trompet, PhD, Stephen T. Turner, MD, Christophe Tzourio, MD, PhD, Hae-Won Uh, PhD, André G. Uitterlinden, PhD, Meike W. Vernooij, MD, PhD, Jing J. Wang, PhD, Tien Y. Wong, MD, PhD, Joanna M. Wardlaw, MD, B. Gwen Windham, MD, Katharina Wittfeld, MS, Christiane Wolf, PhD, Clinton B. Wright, MD, Qiong Yang, PhD, Wei Zhao, MD, PhD, Alex Zijdenbos, PhD, J. Wouter Jukema, MD, PhD, Ralph L. Sacco, MD, Sharon L.R. Kardia, PhD, Philippe Amouyel, MD, PhD, Thomas H. Mosley, PhD, W. T. Longstreth, Jr, MD, MPH, Charles C. DeCarli, MD, Cornelia M. van Duijn, PhD, Reinhold Schmidt, MD, Lenore J. Launer, PhD, Hans J. Grabe, MD, Sudha S. Seshadri, MD, M. Arfan Ikram, MD, PhD, Myriam Fornage, PhD, Joshua C. Bis, PhD, Maryam Kavousi, MD, MSc, Nora Franceschini, MD, MPH, Aaron Isaacs, PhD, Gonçalo R Abecasis, PhD, Ulf Schminke, MD, Wendy Post, MD, Albert V. Smith, PhD, L. Adrienne Cupples, PhD, Hugh S Markus, MD, Reinhold Schmidt, MD, Jennifer E. Huffman, MSc, Terho Lehtimäki, MD, PhD, Jens Baumert, PhD, Thomas Münzel, MD, Susan R. Heckbert, MD, PhD, Abbas Dehghan, MD, PhD, Kari North, PhD, Ben Oostra, PhD, Steve Bevan, PhD, Eva-Maria Stoegerer, MD, Caroline Hayward, PhD, Olli Raitakari, MD, PhD, Christa Meisinger, MD, MPH, Arne Schillert, PhD, Serena Sanna, PhD, Henry Völzke, MD, Yu-Ching Cheng, PhD, Bolli Thorsson, MD, Caroline S. Fox, MD, MS, Kenneth Rice, PhD, Fernando Rivadeneira, MD, PhD, Vijay Nambi, MD, Eran Halperin, PhD, Katja E. Petrovic, MSc, Leena Peltonen, MD, PhD, H. Erich Wichmann, MD, PhD, Renate B. Schnabel, MD, MSc, Marcus Dörr, MD, Afshin Parsa, MD, MPH, Thor Aspelund, PhD, Serkalem Demissie, PhD, Sekar Kathiresan, MD, Muredach P. Reilly, MBBCH, MSCE, Kent Taylor, PhD, Andre Uitterlinden, PhD, David J. Couper, PhD, Matthias Sitzer, MD, Mika Kähönen, MD, PhD, Thomas Illig, PhD, Philipp S. Wild, MD, Marco Orru, MD, Jan Lüdemann, PhD, Alan R. Shuldiner, MD, Gudny Eiriksdottir, MSc, Charles C. White, MPH, Jerome I. Rotter, MD, Albert Hofman, MD, PhD, Jochen Seissler, MD, Tanja Zeller, PhD, Gianluca Usala, PhD, Florian Ernst, PhD, Lenore J. Launer, PhD, Ralph B. D'Agostino, Sr, PhD, Daniel H. O'Leary, MD, Christie Ballantyne, MD, Joachim Thiery, MD, MBA, Andreas Ziegler, Dr. rer. nat. habil., Edward G. Lakatta, MD, Ravi Kumar Chilukoti, MSc, Tamara B. Harris, MD, PhD, Philip A. Wolf, MD, Bruce M. Psaty, MD, PhD, Joseph F Polak, MD, MPH, Xia Li, MD, MPH, Wolfgang Rathmann, MD, MSPH, Manuela Uda, PhD, Eric Boerwinkle, PhD, Norman Klopp, PhD, Helena Schmidt, MD PhD, James F Wilson, DPhil, Jorma Viikari, MD, PhD, Wolfgang Koenig, MD, Stefan Blankenberg, Prof Dr med, Anne B. Newman, MD, MPH, Jacqueline Witteman, PhD, Gerardo Heiss, MD, PhD, Cornelia van Duijn, PhD, Angelo Scuteri, MD, PhD, Georg Homuth, PhD, Braxton D. Mitchell, PhD, Vilmundur Gudnason, MD, PhD, and Christopher J. O’Donnell, MD, MPH, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, and Berr, Claudine
Subjects: Neurology & Neurosurgery, [SDV]Life Sciences [q-bio], Heilaskaði, Clinical Neurology, Stroke Genetics Network (SiGN), the International Stroke Genetics Consortium (ISGC), METASTROKE, Alzheimer's Disease Genetics Consortium (ADGC), and the Neurology Working Group of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, R1, Article, [SDV] Life Sciences [q-bio], Taugasjúkdómar, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Meta-analyses, Brain infarcts, GWAS, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, ddc:610, Erfðarannsóknir, MRI
Abstract: Publisher's version (útgefin grein), Objective: To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts. Methods We performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n=20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI. Results: The mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 × 10-8; and LINC00539/ZDHHC20, p = 5.82 × 10-9. Both have been associated with blood pressure (BP)-related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p[BI] = 9.38 × 10-25; p [SSBI] = 5.23 × 10-14 for hypertension), smoking (p[BI]= 4.4 × 10-10; p [SSBI] = 1.2 × 10 -4), diabetes (p[BI] = 1.7 × 10 -8; p [SSBI] = 2.8 × 10 -3), previous cardiovascular disease (p [BI] = 1.0 × 10-18; p [SSBI] = 2.3 × 10-7), stroke (p [BI] = 3.9 × 10-69; p [SSBI] = 3.2 × 10 -24), and MRI-defined white matter hyperintensity burden (p [BI]=1.43 × 10-157; p [SSBI] = 3.16 × 10-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p ≤ 0.0022), without indication of directional pleiotropy. Conclusion: In this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significant modifiable, causal risk factor for BI., CHAP: R01-AG-11101, R01-AG-030146, NIRP-14-302587. SMART: This study was supported by a grant from the Netherlands Organization for Scientific Research–Medical Sciences (project no. 904-65–095). LBC: The authors thank the LBC1936 participants and the members of the LBC1936 research team who collected and collated the phenotypic and genotypic data. The LBC1936 is supported by Age UK (Disconnected Mind Programme grant). The work was undertaken by The University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology, part of the cross-council Lifelong Health and Wellbeing Initiative (MR/K026992/1). The brain imaging was performed in the Brain Research Imaging Centre (https://www.ed.ac.uk/clinical-sciences/edinburgh-imaging), a center in the SINAPSE Collaboration (sinapse.ac.uk) supported by the Scottish Funding Council and Chief Scientist Office. Funding from the UK Biotechnology and Biological Sciences Research Council (BBSRC) and the UK Medical Research Council is acknowledged. Genotyping was supported by a grant from the BBSRC (ref. BB/F019394/1). PROSPER: The PROSPER study was supported by an investigator-initiated grant obtained from Bristol-Myers Squibb. Prof. Dr. J.W. Jukema is an Established Clinical Investigator of the Netherlands Heart Foundation (grant 2001 D 032). Support for genotyping was provided by the seventh framework program of the European commission (grant 223004) and by the Netherlands Genomics Initiative (Netherlands Consortium for Healthy Aging grant 050-060-810). SCES and SiMES: National Medical Research Council Singapore Centre Grant NMRC/CG/013/2013. C.-Y.C. is supported by the National Medical Research Council, Singapore (CSA/033/2012), Singapore Translational Research Award (STaR) 2013. Dr. Kamran Ikram received additional funding from the Singapore Ministry of Health's National Medical Research Council (NMRC/CSA/038/2013). SHIP: SHIP is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (grants no. 01ZZ9603, 01ZZ0103, and 01ZZ0403), the Ministry of Cultural Affairs, as well as the Social Ministry of the Federal State of Mecklenburg–West Pomerania, and the network “Greifswald Approach to Individualized Medicine (GANI_MED)” funded by the Federal Ministry of Education and Research (grant 03IS2061A). Genome-wide data have been supported by the Federal Ministry of Education and Research (grant no. 03ZIK012) and a joint grant from Siemens Healthineers, Erlangen, Germany, and the Federal State of Mecklenburg–West Pomerania. Whole-body MRI was supported by a joint grant from Siemens Healthineers, Erlangen, Germany, and the Federal State of Mecklenburg–West Pomerania. The University of Greifswald is a member of the Caché Campus program of the InterSystems GmbH. OATS (Older Australian Twins Study): OATS was supported by an Australian National Health and Medical Research Council (NHRMC)/Australian Research Council (ARC) Strategic Award (ID401162) and by a NHMRC grant (ID1045325). OATS was facilitated via access to the Australian Twin Registry, which is supported by the NHMRC Enabling Grant 310667. The OATS genotyping was partly supported by a Commonwealth Scientific and Industrial Research Organisation Flagship Collaboration Fund Grant. NOMAS: The Northern Manhattan Study is funded by the NIH grant “Stroke Incidence and Risk Factors in a Tri-Ethnic Region” (NINDS R01NS 29993). TASCOG: NHMRC and Heart Foundation. AGES: The study was funded by the National Institute on Aging (NIA) (N01-AG-12100), Hjartavernd (the Icelandic Heart Association), and the Althingi (the Icelandic Parliament), with contributions from the Intramural Research Programs at the NIA, the National Heart, Lung, and Blood Institute (NHLBI), and the National Institute of Neurological Disorders and Stroke (NINDS) (Z01 HL004607-08 CE). ERF: The ERF study as a part of European Special Populations Research Network (EUROSPAN) was supported by European Commission FP6 STRP grant no. 018947 (LSHG-CT-2006-01947) and also received funding from the European Community's Seventh Framework Programme (FP7/2007–2013)/grant agreement HEALTH-F4-2007-201413 by the European Commission under the programme “Quality of Life and Management of the Living Resources” of 5th Framework Programme (no. QLG2-CT-2002-01254). High-throughput analysis of the ERF data was supported by a joint grant from Netherlands Organization for Scientific Research and the Russian Foundation for Basic Research (NWO-RFBR 047.017.043). Exome sequencing analysis in ERF was supported by the ZonMw grant (project 91111025). Najaf Amin is supported by the Netherlands Brain Foundation (project no. F2013[1]-28). ARIC: The Atherosclerosis Risk in Communities study was performed as a collaborative study supported by NHLBI contracts (HHSN268201100005C, HSN268201100006C, HSN268201100007C, HHSN268201100008C, HHSN268201100009C, HHSN268201100010C, HHSN268201100011C, and HHSN268201100012C), R01HL70825, R01HL087641, R01HL59367, and R01HL086694; National Human Genome Research Institute contract U01HG004402; and NIH contract HHSN268200625226C. Infrastructure was partly supported by grant no. UL1RR025005, a component of the NIH and NIH Roadmap for Medical Research. This project was also supported by NIH R01 grant NS087541 to M.F. FHS: This work was supported by the National Heart, Lung and Blood Institute's Framingham Heart Study (contracts no. N01-HC-25195 and no. HHSN268201500001I), and its contract with Affymetrix, Inc. for genotyping services (contract no. N02-HL-6-4278). A portion of this research utilized the Linux Cluster for Genetic Analysis (LinGA-II) funded by the Robert Dawson Evans Endowment of the Department of Medicine at Boston University School of Medicine and Boston Medical Center. This study was also supported by grants from the NIA (R01s AG033040, AG033193, AG054076, AG049607, AG008122, and U01-AG049505) and the NINDS (R01-NS017950, UH2 NS100605). Dr. DeCarli is supported by the Alzheimer's Disease Center (P30 AG 010129). ASPS: The research reported in this article was funded by the Austrian Science Fund (FWF) grant nos. P20545-P05, P13180, and P20545-B05, by the Austrian National Bank Anniversary Fund, P15435, and the Austrian Ministry of Science under the aegis of the EU Joint Programme–Neurodegenerative Disease Research (JPND) (jpnd.eu). LLS: The Leiden Longevity Study has received funding from the European Union's Seventh Framework Programme (FP7/2007–2011) under grant agreement no. 259679. This study was supported by a grant from the Innovation-Oriented Research Program on Genomics (SenterNovem IGE05007), the Centre for Medical Systems Biology, and the Netherlands Consortium for Healthy Ageing (grant 050-060-810), all in the framework of the Netherlands Genomics Initiative, Netherlands Organization for Scientific Research (NWO), UnileverColworth, and by BBMRI-NL, a Research Infrastructure financed by the Dutch government (NWO 184.021.007). CHS: This CHS research was supported by contracts HHSN268201200036C, HHSN268200800007C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086, N01HC15103, and HHSN268200960009C and grants U01HL080295, R01HL087652, R01HL105756, R01HL103612, R01HL120393, R01HL085251, and R01HL130114 from the NHLBI with additional contribution from NINDS. Additional support was provided through R01AG023629 from the NIA. A full list of principal CHS investigators and institutions can be found at CHS-NHLBI.org. The provision of genotyping data was supported in part by the National Center for Advancing Translational Sciences, CTSI grant UL1TR001881, and the National Institute of Diabetes and Digestive and Kidney Disease Diabetes Research Center grant DK063491 to the Southern California Diabetes Endocrinology Research Center. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. Rotterdam Study: The generation and management of GWAS genotype data for the Rotterdam Study is supported by the Netherlands Organisation of Scientific Research (NWO) Investments (no. 175.010.2005.011, 911-03-012). This study is funded by the Research Institute for Diseases in the Elderly (014-93-015; RIDE2), the Netherlands Genomics Initiative (NGI)/NWO project no. 050-060-810. The Rotterdam Study is funded by Erasmus MC Medical Center and Erasmus MC University, Rotterdam, Netherlands Organization for Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam. M.A.I. is supported by an NWO Veni grant (916.13.054). The 3-City Study: The 3-City Study is conducted under a partnership agreement among the Institut National de la Santé et de la Recherche Médicale (INSERM), the University of Bordeaux, and Sanofi-Aventis. The Fondation pour la Recherche Médicale funded the preparation and initiation of the study. The 3C Study is also supported by the Caisse Nationale Maladie des Travailleurs Salariés, Direction Générale de la Santé, Mutuelle Générale de l’Education Nationale (MGEN), Institut de la Longévité, Conseils Régionaux of Aquitaine and Bourgogne, Fondation de France, and Ministry of Research–INSERM Programme “Cohortes et collections de données biologiques.” C.T. and S.D. have received investigator-initiated research funding from the French National Research Agency (ANR) and from the Fondation Leducq. S.D. is supported by a starting grant from the European Research Council (SEGWAY), a grant from the Joint Programme of Neurodegenerative Disease research (BRIDGET), from the European Union's Horizon 2020 research and innovation programme under grant agreements No 643417 & No 640643, and by the Initiative of Excellence of Bordeaux University. Part of the computations were performed at the Bordeaux Bioinformatics Center (CBiB), University of Bordeaux. This work was supported by the National Foundation for Alzheimer's Disease and Related Disorders, the Institut Pasteur de Lille, the Labex DISTALZ, and the Centre National de Génotypage. ADGC: The Alzheimer Disease Genetics Consortium is supported by NIH. NIH-NIA supported this work through the following grants: ADGC, U01 AG032984, RC2 AG036528; NACC, U01 AG016976; NCRAD, U24 AG021886; NIA LOAD, U24 AG026395, U24 AG026390; Banner Sun Health Research Institute, P30 AG019610; Boston University, P30 AG013846, U01 AG10483, R01 CA129769, R01 MH080295, R01 AG017173, R01 AG025259, R01AG33193; Columbia University, P50 AG008702, R37 AG015473; Duke University, P30 AG028377, AG05128; Emory University, AG025688; Group Health Research Institute, UO1 AG06781, UO1 HG004610; Indiana University, P30 AG10133; Johns Hopkins University, P50 AG005146, R01 AG020688; Massachusetts General Hospital, P50 AG005134; Mayo Clinic, P50 AG016574; Mount Sinai School of Medicine, P50 AG005138, P01 AG002219; New York University, P30 AG08051, MO1RR00096, UL1 RR029893, 5R01AG012101, 5R01AG022374, 5R01AG013616, 1RC2AG036502, 1R01AG035137; Northwestern University, P30 AG013854; Oregon Health & Science University, P30 AG008017, R01 AG026916; Rush University, P30 AG010161, R01 AG019085, R01 AG15819, R01 AG17917, R01 AG30146; TGen, R01 NS059873; University of Alabama at Birmingham, P50 AG016582, UL1RR02777; University of Arizona, R01 AG031581; University of California, Davis, P30 AG010129; University of California, Irvine, P50 AG016573, P50, P50 AG016575, P50 AG016576, P50 AG016577; University of California, Los Angeles, P50 AG016570; University of California, San Diego, P50 AG005131; University of California, San Francisco, P50 AG023501, P01 AG019724; University of Kentucky, P30 AG028383, AG05144; University of Michigan, P50 AG008671; University of Pennsylvania, P30 AG010124; University of Pittsburgh, P50 AG005133, AG030653; University of Southern California, P50 AG005142; University of Texas Southwestern, P30 AG012300; University of Miami, R01 AG027944, AG010491, AG027944, AG021547, AG019757; University of Washington, P50 AG005136; Vanderbilt University, R01 AG019085; and Washington University, P50 AG005681, P01 AG03991. The Kathleen Price Bryan Brain Bank at Duke University Medical Center is funded by NINDS grant NS39764, NIMH MH60451, and by GlaxoSmithKline. Genotyping of the TGEN2 cohort was supported by Kronos Science. The TGen series was also funded by NIA grant AG041232, the Banner Alzheimer's Foundation, The Johnnie B. Byrd Sr. Alzheimer's Institute, the Medical Research Council, and the state of Arizona and also includes samples from the following sites: Newcastle Brain Tissue Resource (funding via the Medical Research Council [MRC], local NHS trusts, and Newcastle University), MRC London Brain Bank for Neurodegenerative Diseases (funding via the Medical Research Council), South West Dementia Brain Bank (funding via numerous sources including the Higher Education Funding Council for England [HEFCE], Alzheimer's Research Trust [ART], BRACE, as well as North Bristol NHS Trust Research and Innovation Department and DeNDRoN), The Netherlands Brain Bank (funding via numerous sources including Stichting MS Research, Brain Net Europe, Hersenstichting Nederland Breinbrekend Werk, International Parkinson Fonds, Internationale Stiching Alzheimer Onderzoek), Institut de Neuropatologia, Servei Anatomia Patologica, and Universitat de Barcelona). ADNI: Funding for ADNI is through the Northern California Institute for Research and Education by grants from Abbott, AstraZeneca AB, Bayer Schering Pharma AG, Bristol-Myers Squibb, Eisai Global Clinical Development, Elan Corporation, Genentech, GE Healthcare, GlaxoSmithKline, Innogenetics, Johnson & Johnson, Eli Lilly and Co., Medpace, Inc., Merck and Co., Inc., Novartis AG, Pfizer Inc, F. Hoffman-La Roche, Schering-Plough, Synarc, Inc., Alzheimer's Association, Alzheimer's Drug Discovery Foundation, the Dana Foundation, and the National Institute of Biomedical Imaging and Bioengineering and NIA grants U01 AG024904, RC2 AG036535, and K01 AG030514. Support was also provided by the Alzheimer's Association (LAF, IIRG-08-89720; MAP-V, IIRG-05-14147) and the US Department of Veterans Affairs Administration, Office of Research and Development, Biomedical Laboratory Research Program. SiGN: Stroke Genetic Network (SiGN) was supported in part by award nos. U01NS069208 and R01NS100178 from NINDS. Genetics of Early-Onset Stroke (GEOS) Study was supported by the NIH Genes, Environment and Health Initiative (GEI) grant U01 HG004436, as part of the GENEVA consortium under GEI, with additional support provided by the Mid-Atlantic Nutrition and Obesity Research Center (P30 DK072488); and the Office of Research and Development, Medical Research Service, and the Baltimore Geriatrics Research, Education, and Clinical Center of the Department of Veterans Affairs. Genotyping services were provided by the Johns Hopkins University Center for Inherited Disease Research (CIDR), which is fully funded through a federal contract from the NIH to Johns Hopkins University (contract no. HHSN268200782096C). Assistance with data cleaning was provided by the GENEVA Coordinating Center (U01 HG 004446; PI Bruce S. Weir). Study recruitment and assembly of datasets were supported by a Cooperative Agreement with the Division of Adult and Community Health, Centers for Disease Control and Prevention, and by grants from NINDS and the NIH Office of Research on Women's Health (R01 NS45012, U01 NS069208-01). METASTROKE: ASGC: Australian population control data were derived from the Hunter Community Study. This research was funded by grants from the Australian National and Medical Health Research Council (NHMRC Project Grant ID: 569257), the Australian National Heart Foundation (NHF Project Grant ID: G 04S 1623), the University of Newcastle, the Gladys M Brawn Fellowship scheme, and the Vincent Fairfax Family Foundation in Australia. E.G.H. was supported by a Fellowship from the NHF and National Stroke Foundation of Australia (ID: 100071). J.M. was supported by an Australian Postgraduate Award. BRAINS: Bio-Repository of DNA in Stroke (BRAINS) is partly funded by a Senior Fellowship from the Department of Health (UK) to P.S., the Henry Smith Charity, and the UK-India Education Research Institutive (UKIERI) from the British Council. GEOS: Genetics of Early Onset Stroke (GEOS) Study, Baltimore, was supported by GEI Grant U01 HG004436, as part of the GENEVA consortium under GEI, with additional support provided by the Mid-Atlantic Nutrition and Obesity Research Center (P30 DK072488), and the Office of Research and Development, Medical Research Service, and the Baltimore Geriatrics Research, Education, and Clinical Center of the Department of Veterans Affairs. Genotyping services were provided by the Johns Hopkins University Center for Inherited Disease Research (CIDR), which is fully funded through a federal contract from the NIH to the Johns Hopkins University (contract no. HHSN268200782096C). Assistance with data cleaning was provided by the GENEVA Coordinating Center (U01 HG 004446; PI Bruce S. Weir). Study recruitment and assembly of datasets were supported by a Cooperative Agreement with the Division of Adult and Community Health, Centers for Disease Control and Prevention, and by grants from NINDS and the NIH Office of Research on Women's Health (R01 NS45012, U01 NS069208-01). HPS: Heart Protection Study (HPS) (ISRCTN48489393) was supported by the UK MRC, British Heart Foundation, Merck and Co. (manufacturers of simvastatin), and Roche Vitamins Ltd. (manufacturers of vitamins). Genotyping was supported by a grant to Oxford University and CNG from Merck and Co. J.C.H. acknowledges support from the British Heart Foundation (FS/14/55/30806). ISGS: Ischemic Stroke Genetics Study (ISGS)/Siblings With Ischemic Stroke Study (SWISS) was supported in part by the Intramural Research Program of the NIA, NIH project Z01 AG-000954-06. ISGS/SWISS used samples and clinical data from the NIH-NINDS Human Genetics Resource Center DNA and Cell Line Repository (ccr.coriell.org/ninds), human subjects protocol nos. 2003-081 and 2004-147. ISGS/SWISS used stroke-free participants from the Baltimore Longitudinal Study of Aging (BLSA) as controls. The inclusion of BLSA samples was supported in part by the Intramural Research Program of the NIA, NIH project Z01 AG-000015-50, human subjects protocol no. 2003-078. The ISGS study was funded by NIH-NINDS Grant R01 NS-42733 (J.F.M.). The SWISS study was funded by NIH-NINDS Grant R01 NS-39987 (J.F.M.). This study used the high-performance computational capabilities of the Biowulf Linux cluster at the NIH (biowulf.nih.gov). MGH-GASROS: MGH Genes Affecting Stroke Risk and Outcome Study (MGH-GASROS) was supported by NINDS (U01 NS069208), the American Heart Association/Bugher Foundation Centers for Stroke Prevention Research 0775010N, the NIH and NHLBI's STAMPEED genomics research program (R01 HL087676), and a grant from the National Center for Research Resources. The Broad Institute Center for Genotyping and Analysis is supported by grant U54 RR020278 from the National Center for Research resources. Milan: Milano–Besta Stroke Register Collection and genotyping of the Milan cases within CEDIR were supported by the Italian Ministry of Health (grant nos.: RC 2007/LR6, RC 2008/LR6; RC 2009/LR8; RC 2010/LR8; GR-2011-02347041), FP6 LSHM-CT-2007-037273 for the PROCARDIS control samples. WTCCC2: Wellcome Trust Case-Control Consortium 2 (WTCCC2) was principally funded by the Wellcome Trust, as part of the Wellcome Trust Case Control Consortium 2 project (085475/B/08/Z and 085475/Z/08/Z and WT084724MA). The Stroke Association provided additional support for collection of some of the St George's, London cases. The Oxford cases were collected as part of the Oxford Vascular Study, which is funded by the MRC, Stroke Association, Dunhill Medical Trust, National Institute of Health Research (NIHR), and the NIHR Biomedical Research Centre, Oxford. The Edinburgh Stroke Study was supported by the Wellcome Trust (clinician scientist award to C.L.M.S.) and the Binks Trust. Sample processing occurred in the Genetics Core Laboratory of the Wellcome Trust Clinical Research Facility, Western General Hospital, Edinburgh. Much of the neuroimaging occurred in the Scottish Funding Council Brain Imaging Research Centre (https://www.ed.ac.uk/clinical-sciences/edinburgh-imaging), Division of Clinical Neurosciences, University of Edinburgh, a core area of the Wellcome Trust Clinical Research Facility, and part of the SINAPSE (Scottish Imaging Network: A Platform for Scientific Excellence) collaboration (sinapse.ac.uk), funded by the Scottish Funding Council and the Chief Scientist Office. Collection of the Munich cases and data analysis was supported by the Vascular Dementia Research Foundation. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreements no. 666881, SVDs@target (to M.D.) and no. 667375, CoSTREAM (to M.D.); the DFG as part of the Munich Cluster for Systems Neurology (EXC 1010 SyNergy) and the CRC 1123 (B3) (to M.D.); the Corona Foundation (to M.D.); the Fondation Leducq (Transatlantic Network of Excellence on the Pathogenesis of Small Vessel Disease of the Brain) (to M.D.); the e:Med program (e:AtheroSysMed) (to M.D.) and the FP7/2007-2103 European Union project CVgenes@target (grant agreement no. Health-F2-2013-601456) (to M.D.). M.F. and A.H. acknowledge support from the BHF Centre of Research Excellence in Oxford and the Wellcome Trust core award (090532/Z/09/Z). VISP: The GWAS component of the Vitamin Intervention for Stroke Prevention (VISP) study was supported by the US National Human Genome Research Institute (NHGRI), grant U01 HG005160 (PI Michèle Sale and Bradford Worrall), as part of the Genomics and Randomized Trials Network (GARNET). Genotyping services were provided by the Johns Hopkins University Center for Inherited Disease Research (CIDR), which is fully funded through a federal contract from the NIH to Johns Hopkins University. Assistance with data cleaning was provided by the GARNET Coordinating Center (U01 HG005157; PI Bruce S. Weir). Study recruitment and collection of datasets for the VISP clinical trial were supported by an investigator-initiated research grant (R01 NS34447; PI James Toole) from the US Public Health Service, NINDS, Bethesda, MD. Control data obtained through the database of genotypes and phenotypes (dbGAP) maintained and supported by the United States National Center for Biotechnology Information, US National Library of Medicine. WHI: Funding support for WHI-GARNET was provided through the NHGRI GARNET (grant no. U01 HG005152). Assistance with phenotype harmonization and genotype cleaning, as well as with general study coordination, was provided by the GARNET Coordinating Center (U01 HG005157). Funding support for genotyping, which was performed at the Broad Institute of MIT and Harvard, was provided by the GEI (U01 HG004424). R.L. is a senior clinical investigator of FWO Flanders. F.W.A. is supported by a Dekker scholarship-Junior Staff Member 2014T001–Netherlands Heart Foundation and UCL Hospitals NIHR Biomedical Research Centre.
Published: 2019

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35 results on '"Guillaume Pare"'

1. Leveraging related health phenotypes for polygenic prediction of impulsive choice, impulsive action, and impulsive personality traits in 1534 European ancestry community adults

2. Current State and Future of Polygenic Risk Scores in Cardiometabolic Disease: A Scoping Review

3. PCSK7: a Novel Regulator of Apolipoprotein B and a Potential Target Against Non-Alcoholic Fatty Liver Disease

4. Biomarkers of Prevalent and Incident Cognitive Dysfunction in People with Dysglycemia: Data from the ORIGIN Trial

5. Abstract P339: The Clinical Application and Ancestral Diversity of Cardiometabolic Polygenic Risk Scores

6. Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

7. Effects of routine early treatment with PCSK9 inhibitors in patients undergoing primary percutaneous coronary intervention for ST-segment elevation myocardial infarction: a randomised, double-blind, sham-controlled trial

8. The Genetic Risk of Gestational Diabetes in South Asian women

9. 190-LB: Vaspin—A Novel Predictor of Type 2 Diabetes Risk

10. Multi-phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations

11. 731-P: Metabolite Biomarkers and Cardiovascular Events in REWIND: A Post Hoc Analysis

12. 1102-P: Identifying Blood Biomarkers for Type 2 Diabetes Subtyping: A Report from the ORIGIN Trial

13. 725-P: Protein Biomarkers Associated with Dulaglutide and Cardiovascular Events in REWIND

14. MO048: Genome-wide studies reveal factors associated with circulating uromodulin and its relations with complex diseases

15. Genome-wide studies reveal factors associated with circulating uromodulin and its relationships to complex diseases

16. Physical activity and sedentary behavior; mechanistic insights and role in disease prevention

17. Polygenic risk score for Alzheimer’s disease in Caribbean Hispanics

18. Cohort profile: genomic data for 26 622 individuals from the Canadian Longitudinal Study on Aging (CLSA)

19. Novel Outcome Biomarkers Identified With Targeted Proteomic Analyses of Plasma From Critically Ill Coronavirus Disease 2019 Patients

20. Implications of OPRM1 and CYP2B6 variants on treatment outcomes in methadone-maintained patients in Ontario: Exploring sex differences

21. Serum magnesium and calcium levels in relation to ischemic stroke Mendelian randomization study

22. The Impact of Selection Bias on Estimation of Subsequent Event Risk

23. Identification of Cadherin 2 (

24. Research capacity. Enabling the genomic revolution in Africa

25. Myocardial Injury after Noncardiac Surgery: A Large, International, Prospective Cohort Study Establishing Diagnostic Criteria, Characteristics, Predictors, and 30-day Outcomes

26. Genetic information and the prediction of incident type 2 diabetes in a high-risk multiethnic population: the EpiDREAM genetic study

27. Causal relationship between obesity and vitamin D status: bi-directional Mendelian randomization analysis of multiple cohorts

28. Abstract 360: Genetic Variants Associated With ACE Inhibitor-Associated Angioedema

29. Genome-Wide Association Analysis Identifies Variants Associated with Nonalcoholic Fatty Liver Disease That Have Distinct Effects on Metabolic Traits

30. Influenza Virus-Containing Immune Complexes Activate Platelets Through FcγRIIa Resulting In Bioactive Lipid Synthesis and Microparticle Release

31. Erratum to: Relation between clopidogrel active metabolite levels and different platelet aggregation methods in patients receiving clopidogrel and aspirin

32. Stroke genetics informs drug discovery and risk prediction across ancestries

33. Novel biomarkers predicting a microvascular composite outcome in people with dysglycaemia in the ORIGIN trial

34. Performance of the validated ORIGIN cardiovascular biomarker panel in HOPE study participants with diabetes

35. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting

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35 results on '"Guillaume Pare"'

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