Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction

[1]  M. Maienschein-Cline,et al.  Human induced pluripotent stem cell-derived atrial cardiomyocytes carrying an SCN5A mutation identify nitric oxide signaling as a mediator of atrial fibrillation , 2021, Stem cell reports.

[2]  Ryan L. Collins,et al.  Genome-wide enhancer maps link risk variants to disease genes , 2021, Nature.

[3]  W. Rottbauer,et al.  Spen deficiency interferes with Connexin 43 expression and leads to heart failure in zebrafish. , 2021, Journal of molecular and cellular cardiology.

[4]  Michael J. Purcaro,et al.  Expanded encyclopaedias of DNA elements in the human and mouse genomes , 2020, Nature.

[5]  R. Kettenhofen,et al.  Voltage-sensing optical recording: A method of choice for high-throughput assessment of cardiotropic effects. , 2020, Journal of pharmacological and toxicological methods.

[6]  Bjarni J. Vilhjálmsson,et al.  LDpred2: better, faster, stronger , 2020, bioRxiv.

[7]  P. Elliott,et al.  Predictive Accuracy of a Polygenic Risk Score-Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease. , 2020, JAMA.

[8]  C. Robinson-Cohen,et al.  Predictive Accuracy of a Polygenic Risk Score Compared With a Clinical Risk Score for Incident Coronary Heart Disease. , 2020, JAMA.

[9]  Spiros C. Denaxas,et al.  Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure , 2020, Nature Communications.

[10]  D. Rader,et al.  Genetics of height and risk of atrial fibrillation: A Mendelian randomization study , 2019, PLoS medicine.

[11]  Ryan L. Collins,et al.  The mutational constraint spectrum quantified from variation in 141,456 humans , 2020, Nature.

[12]  M. Memo,et al.  Human iPSC modelling of a familial form of atrial fibrillation reveals a gain of function of If and ICaL in patient-derived cardiomyocytes , 2019, Cardiovascular research.

[13]  Alicia R. Martin,et al.  Clinical use of current polygenic risk scores may exacerbate health disparities , 2019, Nature Genetics.

[14]  David G. Knowles,et al.  Predicting Splicing from Primary Sequence with Deep Learning , 2019, Cell.

[15]  Y. Hata,et al.  Characterization of a small molecule that promotes cell cycle activation of human induced pluripotent stem cell-derived cardiomyocytes. , 2019, Journal of molecular and cellular cardiology.

[16]  Jun Sese,et al.  ChIP‐Atlas: a data‐mining suite powered by full integration of public ChIP‐seq data , 2018, EMBO reports.

[17]  Tanya M. Teslovich,et al.  Biobank-driven genomic discovery yields new insight into atrial fibrillation biology , 2018, Nature Genetics.

[18]  Jay A. Montgomery,et al.  Multi-ethnic genome-wide association study for atrial fibrillation , 2018, Nature Genetics.

[19]  B. Neale,et al.  Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases , 2018, Nature Genetics.

[20]  Reporting for specific materials, systems and methods , 2018 .

[21]  D. Posthuma,et al.  Functional mapping and annotation of genetic associations with FUMA , 2017, Nature Communications.

[22]  Nicola J. Rinaldi,et al.  Genetic effects on gene expression across human tissues , 2017, Nature.

[23]  Mary Goldman,et al.  Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics , 2016, Nature Communications.

[24]  Kathleen F. Kerr,et al.  Genetic loci associated with heart rate variability and their effects on cardiac disease risk , 2017, Nature Communications.

[25]  Emelia J. Benjamin,et al.  Atrial Fibrillation: Epidemiology, Pathophysiology, and Clinical Outcomes , 2017, Circulation research.

[26]  Y. Kamatani,et al.  Identification of six new genetic loci associated with atrial fibrillation in the Japanese population , 2017, Nature Genetics.

[27]  Henry J. Lin,et al.  Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation , 2017, Nature Genetics.

[28]  Glenn E. Morris,et al.  Novel nesprin-1 mutations associated with dilated cardiomyopathy cause nuclear envelope disruption and defects in myogenesis , 2017, Human molecular genetics.

[29]  Y. Kamatani,et al.  Cross-sectional analysis of BioBank Japan clinical data: A large cohort of 200,000 patients with 47 common diseases , 2017, Journal of epidemiology.

[30]  Y. Kamatani,et al.  Overview of the BioBank Japan Project: Study design and profile , 2017, Journal of epidemiology.

[31]  Jun Zhu,et al.  Occurrence of death and stroke in patients in 47 countries 1 year after presenting with atrial fibrillation: a cohort study , 2016, The Lancet.

[32]  Alan M. Kwong,et al.  Next-generation genotype imputation service and methods , 2016, Nature Genetics.

[33]  P. Michela,et al.  Role of connexin 43 in cardiovascular diseases. , 2015, European journal of pharmacology.

[34]  B. Shields,et al.  A Type 1 Diabetes Genetic Risk Score Can Aid Discrimination Between Type 1 and Type 2 Diabetes in Young Adults , 2015, Diabetes Care.

[35]  Yenn-Jiang Lin,et al.  Inflammation and the pathogenesis of atrial fibrillation , 2015, Nature Reviews Cardiology.

[36]  Yasunari Kanda,et al.  Image-based evaluation of contraction-relaxation kinetics of human-induced pluripotent stem cell-derived cardiomyocytes: Correlation and complementarity with extracellular electrophysiology. , 2014, Journal of molecular and cellular cardiology.

[37]  Stanley Nattel,et al.  Role of the Autonomic Nervous System in Atrial Fibrillation: Pathophysiology and Therapy , 2014, Circulation research.

[38]  Claude Bouchard,et al.  Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders , 2014 .

[39]  A. Morris,et al.  Transethnic Meta-Analysis of Genomewide Association Studies , 2011, Genetic epidemiology.

[40]  N. Bursac,et al.  Fibroblast Growth Factor Homologous Factor 13 Regulates Na+ Channels and Conduction Velocity in Murine Hearts , 2011, Circulation research.

[41]  S. Johnston,et al.  Estimation of Total Incremental Health Care Costs in Patients With Atrial Fibrillation in the United States , 2011, Circulation. Cardiovascular quality and outcomes.

[42]  Sunil K. Agarwal,et al.  Absolute and Attributable Risks of Atrial Fibrillation in Relation to Optimal and Borderline Risk Factors: The Atherosclerosis Risk in Communities (ARIC) Study , 2011, Circulation.

[43]  Helga Thorvaldsdóttir,et al.  Integrative Genomics Viewer , 2011, Nature Biotechnology.

[44]  D. Altshuler,et al.  A map of human genome variation from population-scale sequencing , 2010, Nature.

[45]  Francis S. Collins,et al.  Human laminopathies: nuclei gone genetically awry , 2006, Nature Reviews Genetics.

[46]  T. Willson,et al.  Structure-guided synthesis of tamoxifen analogs with improved selectivity for the orphan ERRgamma. , 2006, Bioorganic & medicinal chemistry letters.

[47]  F. Muntoni,et al.  Mutations in the gene encoding lamin A/C cause autosomal dominant Emery-Dreifuss muscular dystrophy , 1999, Nature Genetics.

[48]  D. Levy,et al.  Independent risk factors for atrial fibrillation in a population-based cohort. The Framingham Heart Study. , 1994, JAMA.