Hakon Hakonarson

According to our database, Hakon Hakonarson authored at least 22 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Clinical decision support with a comprehensive in-EHR patient tracking system improves genetic testing follow up.

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

J. Am. Medical Informatics Assoc., June, 2023

Characterizing variability of electronic health record-driven phenotype definitions.

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

J. Am. Medical Informatics Assoc., February, 2023

2022

Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions.

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

BMC Medical Informatics Decis. Mak., 2022

2021

Genomic considerations for FHIR®; eMERGE implementation lessons.

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

J. Biomed. Informatics, 2021

Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure.

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

BioData Min., 2021

DeepCNV: a deep learning approach for authenticating copy number variations.

Joseph Glessner, Xiurui Hou, Cheng Zhong, Jie Zhang, Munir Khan, Fabian Brand, Peter Krawitz, Patrick Sleiman, Hakon Hakonarson, Zhi Wei

Briefings Bioinform., 2021

2020

Elucidation of DNA methylation on N6-adenine with deep learning.

Fei Tan, Tian Tian, Xiurui Hou, Xiang Yu, Lei Gu, Fernanda Mafra, Brian D. Gregory, Zhi Wei, Hakon Hakonarson

Nat. Mach. Intell., 2020

2019

Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.

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

J. Biomed. Informatics, 2019

Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network.

Xinyuan Zhang, Yogasudha Veturi, Shefali Setia Verma, William Bone, Anurag Verma, Anastasia Lucas, Scott J. Hebbring, Joshua C. Denny, Ian B. 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

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018

DeepPolyA: A Convolutional Neural Network Approach for Polyadenylation Site Prediction.

Xin Gao, Jie Zhang, Zhi Wei, Hakon Hakonarson

IEEE Access, 2018

2016

The Philadelphia Neurodevelopmental Cohort: A publicly available resource for the study of normal and abnormal brain development in youth.

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

NeuroImage, 2016

The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort.

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

NeuroImage, 2016

Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden.

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

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

2015

Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR).

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

BioData Min., 2015

2014

Neuroimaging of the Philadelphia Neurodevelopmental Cohort.

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

NeuroImage, 2014

2013

Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth.

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

NeuroImage, 2013

An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data.

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

NeuroImage, 2013

2012

Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youth.

Theodore D. Satterthwaite, Daniel H. Wolf, James Loughead, Kosha Ruparel, Mark A. Elliott, Hakon Hakonarson, Ruben C. Gur, Raquel E. Gur

NeuroImage, 2012

Being right is its own reward: Load and performance related ventral striatum activation to correct responses during a working memory task in youth.

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

NeuroImage, 2012

2011

Mitochondrial Genome Sequence Analysis: A custom bioinformatics pipeline substantially improves Affymetrix MitoChip v2.0 call rate and accuracy.

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

BMC Bioinform., 2011

2009

Multiple testing in genome-wide association studies via hidden Markov models.

Zhi Wei, Wenguang Sun, Kai Wang, Hakon Hakonarson

Bioinform., 2009

ATOM: a powerful gene-based association test by combining optimally weighted markers.

Mingyao Li, Kai Wang, Struan F. A. Grant, Hakon Hakonarson, Chun Li

Bioinform., 2009