Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Annika Faucon"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract T-cells play a critical role in multiple aspects of human health and disease. However, to date the genetic determinants of human T-cell abundance have not been studied at scale because assays quantifying T-cell abundance are not widely used
Externí odkaz:
https://doaj.org/article/8233ecb9947c464eb85a3b85ea6e22ad
Autor:
Jessica K. Dennis, Julia M. Sealock, Peter Straub, Younga H. Lee, Donald Hucks, Ky’Era Actkins, Annika Faucon, Yen-Chen Anne Feng, Tian Ge, Slavina B. Goleva, Maria Niarchou, Kritika Singh, Theodore Morley, Jordan W. Smoller, Douglas M. Ruderfer, Jonathan D. Mosley, Guanhua Chen, Lea K. Davis
Publikováno v:
Genome Medicine, Vol 13, Iss 1, Pp 1-16 (2021)
Abstract Background Clinical laboratory (lab) tests are used in clinical practice to diagnose, treat, and monitor disease conditions. Test results are stored in electronic health records (EHRs), and a growing number of EHRs are linked to patient DNA,
Externí odkaz:
https://doaj.org/article/6757a64b9b8c477ebf816cd361461549
Publikováno v:
The Journal of Pain.
Autor:
Bryce Rowland, Quan Sun, Wanjiang Wang, Tyne Miller-Fleming, Nancy Cox, Misa Graff, Annika Faucon, Megan M. Shuey, Elizabeth E. Blue, Paul Auer, Yun Li, Vijay G. Sankaran, Alexander P. Reiner, Laura M. Raffield
Publikováno v:
medRxiv : the preprint server for health sciences.
BackgroundPeople hospitalized with COVID-19 often exhibit hematological alterations, such as lower lymphocyte and platelet counts, which have been reported to associate with disease prognosis. It is unclear whether inter-individual variability in bas
Autor:
Eric R. Gamazon, Andrey Rzhetsky, Patrick Evans, Lisa Bastarache, Nancy J. Cox, Gengjie Jia, Ran Tao, Dan Zhou, Qiang Wei, Bingshan Li, Zhijun Yin, Annika Faucon, Xue Zhong
Publikováno v:
Genet Med
The increasing use of electronic health records (EHRs) and biobanks offers unique opportunities to study Mendelian diseases. We described a novel approach to summarize clinical manifestations from patient EHRs into phenotypic evidence for cystic fibr
To enable large-scale application of polygenic risk scores in a computationally efficient manner we translate a widely used polygenic risk score construction method, Polygenic Risk Score – Continuous Shrinkage (PRS-CS), to the Julia programing lang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6914800caacf7d97e50c0407a0095425
https://doi.org/10.1101/2021.12.27.474263
https://doi.org/10.1101/2021.12.27.474263
Autor:
Jordan W. Smoller, Travis T. Mallard, Peter Straub, Lea K. Davis, Daniel B. Rocha, Annika Faucon, PsycheMERGE Substance Use Disorder Workgroup, Melissa N Poulsen, Hyunjoon Lee, Maria Niarchou, Richard D. Urman, Mariela V Jennings, Sandra Sanchez-Roige, Vanessa Troiani, Yirui Hu, Richard C. Crist, Colin G. Walsh, Sevim B Bianchi, Brandon J. Coombes, Rachel L. Kember
BackgroundElectronic health records (EHR) are useful tools for understanding complex medical phenotypes, but they have been underutilized for opioid use disorders (OUD). Patterns of prescription opioid use might provide an objective measure of OUD ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1325b6dce21aacdee421ddba6430b52
https://doi.org/10.1101/2021.11.23.21266717
https://doi.org/10.1101/2021.11.23.21266717
Publikováno v:
Journal of Personalized Medicine
Journal of Personalized Medicine, Vol 11, Iss 642, p 642 (2021)
Volume 11
Issue 7
Journal of Personalized Medicine, Vol 11, Iss 642, p 642 (2021)
Volume 11
Issue 7
PurposeDysregulation of systemic calcium homeostasis during malignancy is common in most patients with high grade tumors. However, it remains unclear whether single nucleotide polymorphisms (SNPs) that alter the sensitivity of the calcium-sensing rec
Autor:
Jonathan D. Mosley, Tian Ge, Theodore Morley, Douglas M. Ruderfer, Ky’Era Actkins, Jessica Dennis, Slavina B. Goleva, Jordan W. Smoller, Kritika Singh, Yen-Chen Anne Feng, Guanhua Chen, Peter Straub, Younga H Lee, Annika Faucon, Maria Niarchou, Julia M. Sealock, Lea K. Davis, Donald Hucks
Publikováno v:
Genome Medicine
Genome Medicine, Vol 13, Iss 1, Pp 1-16 (2021)
Genome Medicine, Vol 13, Iss 1, Pp 1-16 (2021)
Background Clinical laboratory (lab) tests are used in clinical practice to diagnose, treat, and monitor disease conditions. Test results are stored in electronic health records (EHRs), and a growing number of EHRs are linked to patient DNA, offering
Autor:
Ky’Era Actkins, Guanhua Chen, Douglas M. Ruderfer, Kritika Singh, Julia M. Sealock, Slavina B. Goleva, Jonathan D. Mosley, Peter Straub, Maria Nirachou, Theodore Morley, Jessica Dennis, Donald Hucks, Lea K. Davis, Annika Faucon
Clinical laboratory (lab) tests are used in clinical practice to diagnose, treat, and monitor disease conditions. Test results are typically stored in electronic health records (EHRs), and a growing number of EHRs are linked to patient DNA, offering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c14a4f36d3344df7df75b4ff481cb8c
https://doi.org/10.1101/2020.01.24.20018713
https://doi.org/10.1101/2020.01.24.20018713