A
Amelia W. Hall
Researcher at Broad Institute
Publications - 32
Citations - 1129
Amelia W. Hall is an academic researcher from Broad Institute. The author has contributed to research in topics: Population & Gene. The author has an hindex of 13, co-authored 25 publications receiving 596 citations. Previous affiliations of Amelia W. Hall include University of Rochester & University of Texas at Austin.
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Journal ArticleDOI
Transcriptional and Cellular Diversity of the Human Heart
Nathan R. Tucker,Mark Chaffin,Stephen J. Fleming,Amelia W. Hall,Victoria A. Parsons,Kenneth Bedi,Amer-Denis Akkad,Caroline N. Herndon,Alessandro Arduini,Irinna Papangeli,Carolina Roselli,François Aguet,Seung Hoan Choi,Kristin G. Ardlie,Mehrtash Babadi,Kenneth B. Margulies,Christian Stegmann,Patrick T. Ellinor +17 more
TL;DR: Using large-scale single nuclei RNA sequencing, the transcriptional and cellular diversity in the normal human heart was defined and the identification of discrete cell subtypes and differentially expressed genes within the heart will ultimately facilitate the development of new therapeutics for cardiovascular diseases.
Journal ArticleDOI
Distinct tumor suppressor mechanisms evolve in rodent species that differ in size and lifespan.
Andrei Seluanov,Christopher Hine,Michael J. Bozzella,Amelia W. Hall,Tais Harumi de Castro Sasahara,Antonio Augusto Coppi Maciel Ribeiro,Kenneth C. Catania,Daven C. Presgraves,Vera Gorbunova +8 more
TL;DR: It is suggested that repression of telomerase activity mitigates the increased risk of cancer in larger‐bodied species but not necessarily longer‐lived ones, which implies that other tumor suppressor mechanisms must mitigate increased cancer risk in long‐lived species.
Journal ArticleDOI
Conserved properties of individual Ca2+-binding sites in calmodulin.
TL;DR: The conservation of CaM sequences over deep evolutionary time is looked at, focusing primarily on the four EF-hand motifs, and it is suggested that all eukaryotes require CaM to decode Ca2+ signals using four specialized EF-hands, each with specific, conserved traits.
Posted ContentDOI
Deep learning enables genetic analysis of the human thoracic aorta
James P. Pirruccello,Mark Chaffin,Stephen J. Fleming,Alessandro Arduini,Honghuang Lin,Shaan Khurshid,Shaan Khurshid,Elizabeth L. Chou,Samuel Friedman,Alexander G. Bick,Alexander G. Bick,Lu-Chen Weng,Seung Hoan Choi,Amer-Denis Akkad,Puneet Batra,Nathan R. Tucker,Amelia W. Hall,Carolina Roselli,Carolina Roselli,Emelia J. Benjamin,Shamsudheen K. Vellarikkal,Rajat M. Gupta,Christian M. Stegman,Jennifer E. Ho,Udo Hoffmann,Steven A. Lubitz,Anthony A. Philippakis,Anthony A. Philippakis,Mark E. Lindsay,Patrick T. Ellinor +29 more
TL;DR: The results illustrate the potential for rapidly defining novel quantitative traits derived from a deep learning model, an approach that can be more broadly applied to biomedical imaging data, and the identification of asymptomatic individuals at risk for aneurysm or dissection.
Journal ArticleDOI
Monogenic and Polygenic Contributions to Atrial Fibrillation Risk: Results From a National Biobank.
Seung Hoan Choi,Sean J. Jurgens,Lu-Chen Weng,Lu-Chen Weng,James P. Pirruccello,Carolina Roselli,Mark Chaffin,Christina J.-Y. Lee,Amelia W. Hall,Amelia W. Hall,Amit Khera,Kathryn L. Lunetta,Steven A. Lubitz,Steven A. Lubitz,Patrick T. Ellinor,Patrick T. Ellinor +15 more
TL;DR: In this paper, the authors described an association between loss-of-function (LOF) variants in TTN an allele for atrial fibrillation (AF) and the loss of function in TTNs.