Literature DB >> 26536218

Deep phenotyping: The details of disease.

Cathryn M Delude.   

Abstract

Mesh：

Year:  2015        PMID： 26536218     DOI： 10.1038/527S14a

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   49.962


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  3 in total

Review 1.  Deep phenotyping for precision medicine.

Authors:  Peter N Robinson
Journal:  Hum Mutat       Date:  2012-05       Impact factor: 4.878

2.  Autism-associated neuroligin-3 mutations commonly impair striatal circuits to boost repetitive behaviors.

Authors:  Patrick E Rothwell; Marc V Fuccillo; Stephan Maxeiner; Scott J Hayton; Ozgun Gokce; Byung Kook Lim; Stephen C Fowler; Robert C Malenka; Thomas C Südhof
Journal:  Cell       Date:  2014-07-03       Impact factor: 41.582

3.  Shank3 mutant mice display autistic-like behaviours and striatal dysfunction.

Authors:  João Peça; Cátia Feliciano; Jonathan T Ting; Wenting Wang; Michael F Wells; Talaignair N Venkatraman; Christopher D Lascola; Zhanyan Fu; Guoping Feng
Journal:  Nature       Date:  2011-03-20       Impact factor: 49.962
  3 in total
  52 in total

1.  Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health.

Authors:  Jukka-Pekka Onnela; Scott L Rauch
Journal:  Neuropsychopharmacology       Date:  2016-01-28       Impact factor: 7.853

2.  Clinical Electrophysiology and Precision Medicine Initiatives.

Authors:  Andrew Grace
Journal:  Arrhythm Electrophysiol Rev       Date:  2015-12-01

Review 3.  Emerging Role of Precision Medicine in Cardiovascular Disease.

Authors:  Jane A Leopold; Joseph Loscalzo
Journal:  Circ Res       Date:  2018-04-27       Impact factor: 17.367

4.  Cross-Disorder Psychiatric Genomics.

Authors:  Anna R Docherty; Arden A Moscati; Ayman H Fanous
Journal:  Curr Behav Neurosci Rep       Date:  2016-07-02

5.  Clinical Research Informatics for Big Data and Precision Medicine.

Authors:  C Weng; M G Kahn
Journal:  Yearb Med Inform       Date:  2016-11-10

6.  Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study.

Authors:  Juan Zhao; Yun Zhang; David J Schlueter; Patrick Wu; Vern Eric Kerchberger; S Trent Rosenbloom; Quinn S Wells; QiPing Feng; Joshua C Denny; Wei-Qi Wei
Journal:  J Biomed Inform       Date:  2019-08-22       Impact factor: 6.317

7.  Pathway centrality in protein interaction networks identifies putative functional mediating pathways in pulmonary disease.

Authors:  Jisoo Park; Benjamin J Hescott; Donna K Slonim
Journal:  Sci Rep       Date:  2019-04-10       Impact factor: 4.379

8.  Enabling phenotypic big data with PheNorm.

Authors:  Sheng Yu; Yumeng Ma; Jessica Gronsbell; Tianrun Cai; Ashwin N Ananthakrishnan; Vivian S Gainer; Susanne E Churchill; Peter Szolovits; Shawn N Murphy; Isaac S Kohane; Katherine P Liao; Tianxi Cai
Journal:  J Am Med Inform Assoc       Date:  2018-01-01       Impact factor: 4.497

9.  An ancestry-based approach for detecting interactions.

Authors:  Danny S Park; Itamar Eskin; Eun Yong Kang; Eric R Gamazon; Celeste Eng; Christopher R Gignoux; Joshua M Galanter; Esteban Burchard; Chun J Ye; Hugues Aschard; Eleazar Eskin; Eran Halperin; Noah Zaitlen
Journal:  Genet Epidemiol       Date:  2017-11-08       Impact factor: 2.135

Review 10.  The importance of gene-environment interactions in human obesity.

Authors:  Hudson Reddon; Jean-Louis Guéant; David Meyre
Journal:  Clin Sci (Lond)       Date:  2016-09-01       Impact factor: 6.124
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