Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Katherine P Liao"'
Autor:
Anurag Verma, Noah L Tsao, Lauren O Thomann, Yuk-Lam Ho, Sudha K Iyengar, Shiuh-Wen Luoh, Rotonya Carr, Dana C Crawford, Jimmy T Efird, Jennifer E Huffman, Adriana Hung, Kerry L Ivey, Michael G Levin, Julie Lynch, Pradeep Natarajan, Saiju Pyarajan, Alexander G Bick, Lauren Costa, Giulio Genovese, Richard Hauger, Ravi Madduri, Gita A Pathak, Renato Polimanti, Benjamin Voight, Marijana Vujkovic, Seyedeh Maryam Zekavat, Hongyu Zhao, Marylyn D Ritchie, VA Million Veteran Program COVID-19 Science Initiative, Kyong-Mi Chang, Kelly Cho, Juan P Casas, Philip S Tsao, J Michael Gaziano, Christopher O'Donnell, Scott M Damrauer, Katherine P Liao
Publikováno v:
PLoS Genetics, Vol 18, Iss 4, p e1010113 (2022)
The study aims to determine the shared genetic architecture between COVID-19 severity with existing medical conditions using electronic health record (EHR) data. We conducted a Phenome-Wide Association Study (PheWAS) of genetic variants associated wi
Externí odkaz:
https://doaj.org/article/ffdb9e4bf94d4c729a4428cb28eaf0c9
Autor:
Rebecca J Song, Yuk-Lam Ho, Petra Schubert, Yojin Park, Daniel Posner, Emily M Lord, Lauren Costa, Hanna Gerlovin, Katherine E Kurgansky, Tori Anglin-Foote, Scott DuVall, Jennifer E Huffman, Saiju Pyarajan, Jean C Beckham, Kyong-Mi Chang, Katherine P Liao, Luc Djousse, David R Gagnon, Stacey B Whitbourne, Rachel Ramoni, Sumitra Muralidhar, Philip S Tsao, Christopher J O'Donnell, John Michael Gaziano, Juan P Casas, Kelly Cho, VA Million Veteran Program COVID-19 Science Initiative
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0251651 (2021)
BackgroundThe risk factors associated with the stages of Coronavirus Disease-2019 (COVID-19) disease progression are not well known. We aim to identify risk factors specific to each state of COVID-19 progression from SARS-CoV-2 infection through deat
Externí odkaz:
https://doaj.org/article/5546908fd7844c93a3ce0df05a8a0d66
Autor:
Mia T. Chandler, Tianrun Cai, Leah Santacroce, Sciaska Ulysse, Katherine P. Liao, Candace H. Feldman
Publikováno v:
ACR Open Rheumatology, Vol 6, Iss 8, Pp 481-488 (2024)
Objective We aimed to examine the feasibility of applying natural language processing (NLP) to unstructured electronic health record (EHR) documents to detect the presence of financial insecurity among patients with rheumatologic disease enrolled in
Externí odkaz:
https://doaj.org/article/115811ff820146e5be4495e67099e11f
Autor:
Katherine P. Liao, Pamela Rist, Jon Giles, Leah Santacroce, Margery A. Connelly, Robert J. Glynn, Paul Ridker, Ahmed Tawakol, Joan Bathon, Daniel H. Solomon
Publikováno v:
Arthritis Research & Therapy, Vol 26, Iss 1, Pp 1-9 (2024)
Abstract Background Treatments for rheumatoid arthritis (RA) are associated with complex changes in lipids and lipoproteins that may impact cardiovascular (CV) risk. The objective of this study was to examine lipid and lipoprotein changes associated
Externí odkaz:
https://doaj.org/article/1c5c699bc81445dabdab7e0cb72982ed
Autor:
Xuan Wang, Molei Liu, Isabelle-Emmanuella Nogues, Tony Chen, Xin Xiong, Clara-Lea Bonzel, Harrison Zhang, Chuan Hong, Yin Xia, Kumar Dahal, Lauren Costa, Jing Cui, VA Million Veteran Program, J. Michael Gaziano, Seoyoung C. Kim, Yuk-Lam Ho, Kelly Cho, Tianxi Cai, Katherine P. Liao
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The Phenome-Wide Association Study (PheWAS) is increasingly used to broadly screen for potential treatment effects, e.g., IL6R variant as a proxy for IL6R antagonists. This approach offers an opportunity to address the limited power in clini
Externí odkaz:
https://doaj.org/article/1870bafdb1b84d8393259bd11cb9e9bb
Autor:
Katherine P Liao, Ashwin N Ananthakrishnan, Vishesh Kumar, Zongqi Xia, Andrew Cagan, Vivian S Gainer, Sergey Goryachev, Pei Chen, Guergana K Savova, Denis Agniel, Susanne Churchill, Jaeyoung Lee, Shawn N Murphy, Robert M Plenge, Peter Szolovits, Isaac Kohane, Stanley Y Shaw, Elizabeth W Karlson, Tianxi Cai
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0136651 (2015)
BACKGROUND:Typically, algorithms to classify phenotypes using electronic medical record (EMR) data were developed to perform well in a specific patient population. There is increasing interest in analyses which can allow study of a specific outcome a
Externí odkaz:
https://doaj.org/article/843e2538294445f0890086f96442a221
Autor:
Dorothée Diogo, Lisa Bastarache, Katherine P Liao, Robert R Graham, Robert S Fulton, Jeffrey D Greenberg, Steve Eyre, John Bowes, Jing Cui, Annette Lee, Dimitrios A Pappas, Joel M Kremer, Anne Barton, Marieke J H Coenen, Barbara Franke, Lambertus A Kiemeney, Xavier Mariette, Corrine Richard-Miceli, Helena Canhão, João E Fonseca, Niek de Vries, Paul P Tak, J Bart A Crusius, Michael T Nurmohamed, Fina Kurreeman, Ted R Mikuls, Yukinori Okada, Eli A Stahl, David E Larson, Tracie L Deluca, Michelle O'Laughlin, Catrina C Fronick, Lucinda L Fulton, Roman Kosoy, Michael Ransom, Tushar R Bhangale, Ward Ortmann, Andrew Cagan, Vivian Gainer, Elizabeth W Karlson, Isaac Kohane, Shawn N Murphy, Javier Martin, Alexandra Zhernakova, Lars Klareskog, Leonid Padyukov, Jane Worthington, Elaine R Mardis, Michael F Seldin, Peter K Gregersen, Timothy Behrens, Soumya Raychaudhuri, Joshua C Denny, Robert M Plenge
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0122271 (2015)
Despite the success of genome-wide association studies (GWAS) in detecting a large number of loci for complex phenotypes such as rheumatoid arthritis (RA) susceptibility, the lack of information on the causal genes leaves important challenges to inte
Externí odkaz:
https://doaj.org/article/beb6d79c3e184701a89299ca92e0df4f
Autor:
Zongqi Xia, Elizabeth Secor, Lori B Chibnik, Riley M Bove, Suchun Cheng, Tanuja Chitnis, Andrew Cagan, Vivian S Gainer, Pei J Chen, Katherine P Liao, Stanley Y Shaw, Ashwin N Ananthakrishnan, Peter Szolovits, Howard L Weiner, Elizabeth W Karlson, Shawn N Murphy, Guergana K Savova, Tianxi Cai, Susanne E Churchill, Robert M Plenge, Isaac S Kohane, Philip L De Jager
Publikováno v:
PLoS ONE, Vol 8, Iss 11, p e78927 (2013)
To optimally leverage the scalability and unique features of the electronic health records (EHR) for research that would ultimately improve patient care, we need to accurately identify patients and extract clinically meaningful measures. Using multip
Externí odkaz:
https://doaj.org/article/8285f873f4554290bdc8d6632a5788a6
Autor:
Lori B Chibnik, Brendan T Keenan, Jing Cui, Katherine P Liao, Karen H Costenbader, Robert M Plenge, Elizabeth W Karlson
Publikováno v:
PLoS ONE, Vol 6, Iss 9, p e24380 (2011)
Cumulative genetic profiles can help identify individuals at high-risk for developing RA. We examined the impact of 39 validated genetic risk alleles on the risk of RA phenotypes characterized by serologic and erosive status.We evaluated single nucle
Externí odkaz:
https://doaj.org/article/f9f4b64d746a45e6b9645c14a8e727f0
Autor:
Brittany Weber, Dana Weisenfeld, Elena Massarotti, Thany Seyok, Gabrielle Cremone, Ethan Lam, Charlotte Golnik, Seth Brownmiller, Feng Liu, Sicong Huang, Derrick J. Todd, Jonathan S. Coblyn, Michael E. Weinblatt, Tianrun Cai, Kumar Dahal, Minna Kohler, Janeth Yinh, Leanne Barrett, Daniel H. Solomon, Jorge Plutzky, Heinrich R. Schelbert, Roxana Campisi, Marcy B. Bolster, Marcelo Di Carli, Katherine P. Liao
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 9 (2024)
Background Coronary microvascular dysfunction as measured by myocardial flow reserve (MFR) is associated with increased cardiovascular risk in rheumatoid arthritis (RA). The objective of this study was to determine the association between reducing in
Externí odkaz:
https://doaj.org/article/42ca0533713e4306ad27bc14703ffab2