A
Amit Joshi
Researcher at Harvard University
Publications - 497
Citations - 18902
Amit Joshi is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Cancer. The author has an hindex of 57, co-authored 390 publications receiving 12207 citations. Previous affiliations of Amit Joshi include VA Boston Healthcare System & Stanford University.
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A meta-analysis of genome-wide association studies to identify prostate cancer susceptibility loci associated with aggressive and non-aggressive disease
Ali Amin Al Olama,Zsofia Kote-Jarai,Fredrick R. Schumacher,Fredrik Wiklund,Sonja I. Berndt,S. Benlloch,Graham G. Giles,Gianluca Severi,David E. Neal,Freddie C. Hamdy,Jenny L Donovan,David J. Hunter,B. E. Henderson,Michael J. Thun,Michael Gaziano,Edward Giovannucci,A. Siddiq,Ruth C. Travis,David G. Cox,Federico Canzian,Elio Riboli,Timothy J. Key,Gerald L. Andriole,Demetrius Albanes,Richard B. Hayes,Johanna Schleutker,Anssi Auvinen,Teuvo L.J. Tammela,Maren Weischer,Janet L. Stanford,Elaine A. Ostrander,Cezary Cybulski,Jan Lubinski,S. N. Thibodeau,D J Schaid,Karina Dalsgaard Sørensen,Jyotsna Batra,Judith A. Clements,Suzanne K. Chambers,Joanne F. Aitken,Robert A. Gardiner,Christiane Maier,W. Vogel,Thilo Dörk,Hermann Brenner,Tomonori Habuchi,Sue A. Ingles,Esther M. John,Joanne L. Dickinson,Lisa A. Cannon-Albright,Manuel R. Teixeira,Radka Kaneva,Hong Wei Zhang,Yong-Jie Lu,Jong Y. Park,Kathleen A. Cooney,Kenneth Muir,Daniel Leongamornlert,E. Saunders,Malgorzata Tymrakiewicz,N. Mahmud,Michelle Guy,K. Govindasami,Lynne T. O'Brien,R A Wilkinson,Amanda L. Hall,E J Sawyer,Tokhir Dadaev,Jonathan J. Morrison,David P. Dearnaley,Alan Horwich,Robert Huddart,Vincent Khoo,Chris Parker,N. van As,C.R.J. Woodhouse,Alan J. Thompson,Tim Dudderidge,Chris Ogden,Colin Cooper,Aritaya Lophatonanon,Melissa C. Southey,John L. Hopper,Dallas R. English,Jarmo Virtamo,Loic Le Marchand,D. Campa,Rudolph Kaaks,S. Lindstrom,W. R. Diver,Susan M. Gapstur,M. Yeager,Angela Cox,Mariana C. Stern,Roman Corral,M. Aly,W. Isaacs,Jan Adolfsson,Jianfeng Xu,Siqun L. Zheng,T. Wahlfors,Kimmo Taari,Paula Kujala,Peter Klarskov,Børge G. Nordestgaard,Roder,Ruth Frikke-Schmidt,S.E. Bojesen,Liesel M. FitzGerald,Suzanne Kolb,Erika M. Kwon,Danielle M. Karyadi,Torben F. Ørntoft,Michael Borre,Antje E. Rinckleb,Manuel Luedeke,Kathleen Herkommer,Andreas Meyer,Jürgen Serth,James R. Marthick,Briony Patterson,Dominika Wokołorczyk,Amanda B. Spurdle,Felicity Lose,Shannon K. McDonnell,Amit Joshi,Ahva Shahabi,Pedro Vaz Pinto,João Vasco Santos,Anna M. Ray,T A Sellers,Hui-Yi Lin,Robert A. Stephenson,Craig C. Teerlink,Müller H,Dietrich Rothenbacher,Norihiko Tsuchiya,Shintaro Narita,Guangwen Cao,C. Slavov,V. Mitev,S. J. Chanock,Henrik Grönberg,Christopher A. Haiman,Peter Kraft,Doug Easton,Rosalind A. Eeles +146 more
TL;DR: In this article, the authors conducted a meta-analysis of four GWAS including 5953 cases of aggressive prostate cancer and 11 463 controls (men without PrCa) and computed association tests for approximately 2.6 million SNPs and followed up the most significant SNPs by genotyping 49 121 samples through the international PRACTICAL and BPC3 consortia.
Posted ContentDOI
Racial and ethnic differences in COVID-19 vaccine hesitancy and uptake
Long H. Nguyen,Amit Joshi,David A. Drew,Jordi Merino,Jordi Merino,Wenjie Ma,Chun-Han Lo,Sohee Kwon,Kai Wang,Mark S. Graham,Lorenzo Polidori,Cristina Menni,Carole H. Sudre,Adjoa Anyane-Yeboa,Christina M Astley,Christina M Astley,Erica T. Warner,Christina Hu,Somesh Selvachandran,Richard Davies,Denis Nash,Paul W. Franks,Jonathan Wolf,Sebastien Ourselin,Claire J. Steves,Tim D. Spector,Andrew T. Chan +26 more
TL;DR: In this paper, the authors performed a cohort study among U.S. and U.K. participants in the smartphone-based COVID Symptom Study (March 24, 2020-February 16, 2021) and used logistic regression to estimate odds ratios (ORs) of vaccine hesitancy and receipt.
Posted ContentDOI
Symptom clusters in Covid19: A potential clinical prediction tool from the COVID Symptom study app
Carole H. Sudre,Karla A. Lee,Mary Ni Lochlainn,Thomas Varsavsky,Benjamin J. Murray,Mark Graham,Cristina Menni,Marc Modat,Ruth C. E. Bowyer,Long H. Nguyen,David A. Drew,Amit Joshi,Wenjie Ma,Chuan-Guo Guo,Chun-Han Lo,Sajaysurya Ganesh,Abubakar Buwe,Joan Capdevila Pujol,Julien Lavigne du Cadet,Alessia Visconti,Maxim B. Freidin,Julia S. El-Sayed Moustafa,Mario Falchi,Richard Davies,Maria F. Gomez,Tove Fall,M. Jorge Cardoso,Jonathan Wolf,Paul W. Franks,Paul W. Franks,Andrew T. Chan,Tim D. Spector,Claire J. Steves,Sebastien Ourselin +33 more
TL;DR: Unsupervised time series clustering over symptom presentation was performed on data collected from a training dataset of completed cases enlisted early from the COVID Symptom Study Smartphone application, yielding six distinct symptom presentations.
Journal ArticleDOI
Automated Multiplexed ECL Immunoarrays for Cancer Biomarker Proteins
Karteek Kadimisetty,Spundana Malla,Naimish P. Sardesai,Amit Joshi,Ronaldo C. Faria,Norman H. Lee,James F. Rusling,James F. Rusling,James F. Rusling +8 more
TL;DR: An automated, microprocessor-controlled microfluidic immunoarray for simultaneous multiplexed detection of small protein panels in complex samples for prostate cancer biomarker proteins in serum gave excellent correlation with those from single-protein ELISA.
Journal ArticleDOI
Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app.
Carole H. Sudre,Carole H. Sudre,Karla A. Lee,Mary Ni Lochlainn,Thomas Varsavsky,Benjamin J. Murray,Mark S. Graham,Cristina Menni,Marc Modat,Ruth C. E. Bowyer,Long H. Nguyen,David A. Drew,Amit Joshi,Wenjie Ma,Chuan Guo Guo,Chun-Han Lo,Sajaysurya Ganesh,Abubakar Buwe,Joan Capdevila Pujol,Julien Lavigne du Cadet,Alessia Visconti,Maxim B. Freidin,Julia S. El-Sayed Moustafa,Mario Falchi,Richard Davies,Maria F. Gomez,Tove Fall,M. Jorge Cardoso,Jonathan Wolf,Paul W. Franks,Paul W. Franks,Andrew T. Chan,Tim D. Spector,Claire J. Steves,Sebastien Ourselin +34 more
TL;DR: In this article, an unsupervised time series clustering over symptom presentation was performed on data collected from a training dataset of completed cases enlisted early from the COVID Symptom Study Smartphone application, yielding six distinct symptom presentations.