Hakon Hakonarson

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 14

Top Topics

Dimensionality Reduction

Clinical Decision Support

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Pascal S. Brandt, Abel N. Kho, Yuan Luo, Jennifer A. Pacheco, Theresa L. Walunas, Hakon Hakonarson, George Hripcsak, Cong Liu, Ning Shang, Chunhua Weng, Nephi Walton, David S. Carrell, Paul K. Crane, Eric B. Larson, Christopher G. Chute, Iftikhar J. Kullo, Robert J. Carroll, Joshua C. Denny, Andrea H. Ramirez, Wei-Qi Wei, Jyotishman Pathak, Laura K. Wiley, Rachel L. Richesson, Justin B. Starren, Luke V. Rasmussen
Characterizing variability of electronic health record-driven phenotype definitions. J. Am. Medical Informatics Assoc. 30 (3) (2023)
Ian M. Campbell, Dean J. Karavite, Morgan L. McManus, Fred C. Cusick, David C. Junod, Sarah E. Sheppard, Eli M. Lourie, Eric D. Shelov, Hakon Hakonarson, Anthony A. Luberti, Naveen Muthu, Robert W. Grundmeier
Clinical decision support with a comprehensive in-EHR patient tracking system improves genetic testing follow up. J. Am. Medical Informatics Assoc. 30 (7) (2023)
Jingzhi Yu, Jennifer A. Pacheco, Anika S. Ghosh, Yuan Luo, Chunhua Weng, Ning Shang, Barbara Benoit, David S. Carrell, Robert J. Carroll, Ozan Dikilitas, Robert R. Freimuth, Vivian S. Gainer, Hakon Hakonarson, George Hripcsak, Iftikhar J. Kullo, Frank D. Mentch, Shawn N. Murphy, Peggy L. Peissig, Andrea H. Ramirez, Nephi Walton, Wei-Qi Wei, Luke V. Rasmussen
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Fentaw Abegaz, François Van Lishout, Jestinah M. Mahachie John, Kridsadakorn Chaichoompu, Archana Bhardwaj, Diane Duroux, Elena S. Gusareva, Zhi Wei, Hakon Hakonarson, Kristel Van Steen
Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure. BioData Min. 14 (1) (2021)
Mullai Murugan, Lawrence J. Babb, Casey Overby Taylor, Luke V. Rasmussen, Robert R. Freimuth, Eric Venner, Fei Yan, Victoria Yi, Stephen J. Granite, Hana Zouk, Samuel J. Aronson, Kevin Power, Alexander Fedotov, David R. Crosslin, David Fasel, Gail P. Jarvik, Hakon Hakonarson, Hana Bangash, Iftikhar J. Kullo, John J. Connolly, Jordan G. Nestor, Pedro J. Caraballo, Wei-Qi Wei, Ken Wiley, Heidi L. Rehm, Richard A. Gibbs
Genomic considerations for FHIR®; eMERGE implementation lessons. J. Biomed. Informatics 118 (2021)
Joseph Glessner, Xiurui Hou, Cheng Zhong, Jie Zhang, Munir Khan, Fabian Brand, Peter Krawitz, Patrick Sleiman, Hakon Hakonarson, Zhi Wei
DeepCNV: a deep learning approach for authenticating copy number variations. Briefings Bioinform. 22 (5) (2021)
Fei Tan, Tian Tian, Xiurui Hou, Xiang Yu, Lei Gu, Fernanda Mafra, Brian D. Gregory, Zhi Wei, Hakon Hakonarson
Elucidation of DNA methylation on N6-adenine with deep learning. Nat. Mach. Intell. 2 (8) (2020)
Xinyuan Zhang, Yogasudha Veturi, Shefali Setia Verma, William Bone, Anurag Verma, Anastasia Lucas, Scott J. Hebbring, Joshua C. Denny, Ian Stanaway, Gail P. Jarvik, David R. Crosslin, Eric B. Larson, Laura Rasmussen-Torvik, Sarah A. Pendergrass, Jordan W. Smoller, Hakon Hakonarson, Patrick Sleiman, Chunhua Weng, David Fasel, Wei-Qi Wei, Iftikhar J. Kullo, Daniel J. Schaid, Wendy K. Chung, Marylyn D. Ritchie
Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. PSB (2019)
Ning Shang, Cong Liu, Luke V. Rasmussen, Casey N. Ta, Robert J. Carroll, Barbara Benoit, Todd Lingren, Ozan Dikilitas, Frank D. Mentch, David S. Carrell, Wei-Qi Wei, Yuan Luo, Vivian S. Gainer, Iftikhar J. Kullo, Jennifer A. Pacheco, Hakon Hakonarson, Theresa L. Walunas, Joshua C. Denny, Chunhua Weng
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network. J. Biomed. Informatics 99 (2019)
Xin Gao, Jie Zhang, Zhi Wei, Hakon Hakonarson
DeepPolyA: A Convolutional Neural Network Approach for Polyadenylation Site Prediction. IEEE Access 6 (2018)
Dokyoon Kim, Anastasia Lucas, Joseph Glessner, Shefali S. Verma, Yukiko Bradford, Ruowang Li, Alex T. Frase, Hakon Hakonarson, Peggy L. Peissig, Murray H. Brilliant, Marylyn D. Ritchie
Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden. PSB (2016)
Theodore D. Satterthwaite, John J. Connolly, Kosha Ruparel, Monica E. Calkins, Chad Jackson, Mark A. Elliott, David R. Roalf, Karthik Prabhakaran, Ryan Hopson, Meckenzie Behr, Haijun Qiu, Frank D. Mentch, Rosetta Chiavacci, Patrick Sleiman, Ruben C. Gur, Hakon Hakonarson, Raquel E. Gur
The Philadelphia Neurodevelopmental Cohort: A publicly available resource for the study of normal and abnormal brain development in youth. NeuroImage 124 (2016)
David R. Roalf, Megan Quarmley, Mark A. Elliott, Theodore D. Satterthwaite, Simon N. Vandekar, Kosha Ruparel, Efstathios D. Gennatas, Monica E. Calkins, Tyler M. Moore, Ryan Hopson, Karthik Prabhakaran, Chad Jackson, Ragini Verma, Hakon Hakonarson, Ruben C. Gur, Raquel E. Gur
The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort. NeuroImage 125 (2016)
Rishika De, Shefali S. Verma, Fotios Drenos, Emily Rose Holzinger, Michael Holmes, Molly A. Hall, David R. Crosslin, David Carrell, Hakon Hakonarson, Gail P. Jarvik, Eric B. Larson, Jennifer A. Pacheco, Laura Rasmussen-Torvik, Carrie Moore, Folkert W. Asselbergs, Jason H. Moore, Marylyn D. Ritchie, Brendan Keating, Diane Gilbert-Diamond
Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). BioData Min. 8 (2015)
Theodore D. Satterthwaite, Mark A. Elliott, Kosha Ruparel, James Loughead, Karthik Prabhakaran, Monica E. Calkins, Ryan Hopson, Chad Jackson, Jack Keefe, Marisa Riley, Frank D. Mentch, Patrick Sleiman, Ragini Verma, Christos Davatzikos, Hakon Hakonarson, Ruben C. Gur, Raquel E. Gur
Neuroimaging of the Philadelphia Neurodevelopmental Cohort. NeuroImage 86 (2014)
Theodore D. Satterthwaite, Mark A. Elliott, Raphael T. Gerraty, Kosha Ruparel, James Loughead, Monica E. Calkins, Simon B. Eickhoff, Hakon Hakonarson, Ruben C. Gur, Raquel E. Gur, Daniel H. Wolf
An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data. NeuroImage 64 (2013)
Theodore D. Satterthwaite, Daniel H. Wolf, Kosha Ruparel, Güray Erus, Mark A. Elliott, Simon B. Eickhoff, Efstathios D. Gennatas, Chad Jackson, Karthik Prabhakaran, Alex R. Smith, Hakon Hakonarson, Ragini Verma, Christos Davatzikos, Raquel E. Gur, Ruben C. Gur
Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth. NeuroImage 83 (2013)
Theodore D. Satterthwaite, Kosha Ruparel, James Loughead, Mark A. Elliott, Raphael T. Gerraty, Monica E. Calkins, Hakon Hakonarson, Ruben C. Gur, Raquel E. Gur, Daniel H. Wolf
Being right is its own reward: Load and performance related ventral striatum activation to correct responses during a working memory task in youth. NeuroImage 61 (3) (2012)
Theodore D. Satterthwaite, Daniel H. Wolf, James Loughead, Kosha Ruparel, Mark A. Elliott, Hakon Hakonarson, Ruben C. Gur, Raquel E. Gur
Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youth. NeuroImage 60 (1) (2012)
Hongbo M. Xie, Juan C. Perin, Theodore G. Schurr, Matthew C. Dulik, Sergey I. Zhadanov, Joseph A. Baur, Michael P. King, Emily Place, Colleen Clarke, Michael Grauer, Jonathan Schug, Avni Santani, Anthony Albano, Cecilia Kim, Vincent Procaccio, Hakon Hakonarson, Xiaowu Gai, Marni J. Falk
Mitochondrial Genome Sequence Analysis: A custom bioinformatics pipeline substantially improves Affymetrix MitoChip v2.0 call rate and accuracy. BMC Bioinform. 12 (2011)
Zhi Wei, Wenguang Sun, Kai Wang, Hakon Hakonarson
Multiple testing in genome-wide association studies via hidden Markov models. Bioinform. 25 (21) (2009)
Mingyao Li, Kai Wang, Struan F. A. Grant, Hakon Hakonarson, Chun Li
ATOM: a powerful gene-based association test by combining optimally weighted markers. Bioinform. 25 (4) (2009)