S
Sohail Zahid
Researcher at Johns Hopkins University
Publications - 43
Citations - 1765
Sohail Zahid is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Catheter ablation & Medicine. The author has an hindex of 17, co-authored 32 publications receiving 1317 citations. Previous affiliations of Sohail Zahid include Center for Advanced Biotechnology and Medicine & Broad Institute.
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Journal ArticleDOI
Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood
Amit Khera,Mark Chaffin,Kaitlin H Wade,Sohail Zahid,Joseph Brancale,Rui Xia,Marina T. DiStefano,Ozlem Senol-Cosar,Ozlem Senol-Cosar,Ozlem Senol-Cosar,Mary E. Haas,Alexander G. Bick,Krishna G. Aragam,Eric S. Lander,George Davey Smith,Heather Mason-Suares,Heather Mason-Suares,Heather Mason-Suares,Myriam Fornage,Matthew S. Lebo,Matthew S. Lebo,Matthew S. Lebo,Nicholas J. Timpson,Lee M. Kaplan,Sekar Kathiresan +24 more
TL;DR: A new polygenic predictor comprised of 2.1 million common variants to quantify inherited susceptibility to obesity is derived and validated and test this predictor in more than 300,000 individuals ranging from middle age to birth.
Journal ArticleDOI
Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern.
Sohail Zahid,Hubert Cochet,Hubert Cochet,Patrick M. Boyle,Erica L. Schwarz,Kaitlyn N. Whyte,Edward J. Vigmond,Rémi Dubois,Mélèze Hocini,Mélèze Hocini,Michel Haïssaguerre,Michel Haïssaguerre,Pierre Jaïs,Pierre Jaïs,Natalia A. Trayanova,Natalia A. Trayanova +15 more
TL;DR: Patient-derived models demonstrate that AF in fibrotic substrates is perpetuated by RDs persisting in fibrosis boundary zones characterized by specific regional fibrosis metrics (high FE and FD).
Journal ArticleDOI
Computationally guided personalized targeted ablation of persistent atrial fibrillation.
Patrick M. Boyle,Tarek Zghaib,Sohail Zahid,Rheeda L. Ali,Dongdong Deng,William H. Franceschi,Joe B. Hakim,Michael J. Murphy,Adityo Prakosa,Stefan L. Zimmerman,Hiroshi Ashikaga,Joseph E. Marine,Aravindan Kolandaivelu,Saman Nazarian,David D. Spragg,Hugh Calkins,Natalia A. Trayanova +16 more
TL;DR: Personalized computational modelling can reliably predetermine ablation targets in patients with persistent atrial fibrillation and atrial fibrosis, and could improve the accuracy and efficacy of targeted AF ablation in patients while eliminating the need for repeat procedures.
Journal ArticleDOI
Virtual Electrophysiological Study of Atrial Fibrillation in Fibrotic Remodeling
Kathleen S. McDowell,Sohail Zahid,Fijoy Vadakkumpadan,Joshua Blauer,Rob S. MacLeod,Natalia A. Trayanova +5 more
TL;DR: The study demonstrates that a patient-specific modeling approach to identify non-invasively AF ablation targets prior to the clinical procedure is feasible and found to be a critical component of AF initiation and maintenance.
Journal ArticleDOI
Modelling methodology of atrial fibrosis affects rotor dynamics and electrograms
Caroline H. Roney,Jason D. Bayer,Sohail Zahid,Marianna Meo,Patrick M. Boyle,Natalia A. Trayanova,Michel Haïssaguerre,Rémi Dubois,Hubert Cochet,Edward J. Vigmond +9 more
TL;DR: The specific representation of fibrosis has a large effect on rotor dynamics and needs to be carefully considered for patient specific modelling.