Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes
TL;DR: A multiancestry genome-wide-association meta-analysis in 521,612 individuals and discovered 22 new stroke risk loci and eleven new susceptibility loci indicate mechanisms not previously implicated in stroke pathophysiology, with prioritization of risk variants and genes accomplished through bioinformatics analyses using extensive functional datasets.
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Abstract: Stroke has multiple etiologies, but the underlying genes and pathways are largely unknown. We conducted a multiancestry genome-wide-association meta-analysis in 521,612 individuals (67,162 cases and 454,450 controls) and discovered 22 new stroke risk loci, bringing the total to 32. We further found shared genetic variation with related vascular traits, including blood pressure, cardiac traits, and venous thromboembolism, at individual loci (n = 18), and using genetic risk scores and linkage-disequilibrium-score regression. Several loci exhibited distinct association and pleiotropy patterns for etiological stroke subtypes. Eleven new susceptibility loci indicate mechanisms not previously implicated in stroke pathophysiology, with prioritization of risk variants and genes accomplished through bioinformatics analyses using extensive functional datasets. Stroke risk loci were significantly enriched in drug targets for antithrombotic therapy.
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Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association
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TL;DR: March 5, 2019 e1 WRITING GROUP MEMBERS Emelia J. Virani, MD, PhD, FAHA, Chair Elect On behalf of the American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee.
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TL;DR: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and has reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-generation sequencing, deep exome sequencing, and dense microarray genotyping.
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Integrative analysis of 111 reference human epigenomes
Anshul Kundaje,Wouter Meuleman,Wouter Meuleman,Jason Ernst,Misha Bilenky,Angela Yen,Angela Yen,Alireza Heravi-Moussavi,Pouya Kheradpour,Pouya Kheradpour,Zhizhuo Zhang,Zhizhuo Zhang,Jianrong Wang,Jianrong Wang,Michael J. Ziller,Viren Amin,John W. Whitaker,Matthew D. Schultz,Lucas D. Ward,Lucas D. Ward,Abhishek Sarkar,Abhishek Sarkar,Gerald Quon,Gerald Quon,Richard Sandstrom,Matthew L. Eaton,Matthew L. Eaton,Yi-Chieh Wu,Yi-Chieh Wu,Andreas R. Pfenning,Andreas R. Pfenning,Xinchen Wang,Xinchen Wang,Melina Claussnitzer,Melina Claussnitzer,Yaping Liu,Yaping Liu,Cristian Coarfa,R. Alan Harris,Noam Shoresh,Charles B. Epstein,Elizabeta Gjoneska,Elizabeta Gjoneska,Danny Leung,Wei Xie,R. David Hawkins,Ryan Lister,Chibo Hong,Philippe Gascard,Andrew J. Mungall,Richard A. Moore,Eric Chuah,Angela Tam,Theresa K. Canfield,R. Scott Hansen,Rajinder Kaul,Peter J. Sabo,Mukul S. Bansal,Mukul S. Bansal,Mukul S. Bansal,Annaick Carles,Jesse R. Dixon,Kai How Farh,Soheil Feizi,Soheil Feizi,Rosa Karlic,Ah Ram Kim,Ah Ram Kim,Ashwinikumar Kulkarni,Daofeng Li,Rebecca F. Lowdon,Ginell Elliott,Tim R. Mercer,Shane Neph,Vitor Onuchic,Paz Polak,Paz Polak,Nisha Rajagopal,Pradipta R. Ray,Richard C Sallari,Richard C Sallari,Kyle Siebenthall,Nicholas A Sinnott-Armstrong,Nicholas A Sinnott-Armstrong,Michael Stevens,Robert E. Thurman,Jie Wu,Bo Zhang,Xin Zhou,Arthur E. Beaudet,Laurie A. Boyer,Philip L. De Jager,Philip L. De Jager,Peggy J. Farnham,Susan J. Fisher,David Haussler,Steven J.M. Jones,Steven J.M. Jones,Wei Li,Marco A. Marra,Michael T. McManus,Shamil R. Sunyaev,Shamil R. Sunyaev,James A. Thomson,Thea D. Tlsty,Li-Huei Tsai,Li-Huei Tsai,Wei Wang,Robert A. Waterland,Michael Q. Zhang,Lisa Helbling Chadwick,Bradley E. Bernstein,Bradley E. Bernstein,Bradley E. Bernstein,Joseph F. Costello,Joseph R. Ecker,Martin Hirst,Alexander Meissner,Aleksandar Milosavljevic,Bing Ren,John A. Stamatoyannopoulos,Ting Wang,Manolis Kellis,Manolis Kellis +123 more
TL;DR: It is shown that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease.
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