Literature DB >> 29746345

Electronic Medical Records Enable Precision Medicine Approaches for Celiac Disease.

Idit Kosti1,2, Marina Sirota1,2.   

Abstract

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Year:  2018        PMID: 29746345      PMCID: PMC6150815          DOI: 10.1097/MPG.0000000000002021

Source DB:  PubMed          Journal:  J Pediatr Gastroenterol Nutr        ISSN: 0277-2116            Impact factor:   2.839


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  10 in total

Review 1.  Clinical presentation of celiac disease in the pediatric population.

Authors:  Alessio Fasano
Journal:  Gastroenterology       Date:  2005-04       Impact factor: 22.682

Review 2.  Phenome-Wide Association Studies as a Tool to Advance Precision Medicine.

Authors:  Joshua C Denny; Lisa Bastarache; Dan M Roden
Journal:  Annu Rev Genomics Hum Genet       Date:  2016-05-04       Impact factor: 8.929

3.  Prevalence of celiac disease in at-risk and not-at-risk groups in the United States: a large multicenter study.

Authors:  Alessio Fasano; Irene Berti; Tania Gerarduzzi; Tarcisio Not; Richard B Colletti; Sandro Drago; Yoram Elitsur; Peter H R Green; Stefano Guandalini; Ivor D Hill; Michelle Pietzak; Alessandro Ventura; Mary Thorpe; Debbie Kryszak; Fabiola Fornaroli; Steven S Wasserman; Joseph A Murray; Karoly Horvath
Journal:  Arch Intern Med       Date:  2003-02-10

4.  Multicenter study on the value of ICD-9-CM codes for case identification of celiac disease.

Authors:  Pornthep Tanpowpong; Sarabeth Broder-Fingert; Joshua C Obuch; David O Rahni; Aubrey J Katz; Daniel A Leffler; Ciaran P Kelly; Carlos A Camargo
Journal:  Ann Epidemiol       Date:  2013-01-10       Impact factor: 3.797

5.  A novel data-driven workflow combining literature and electronic health records to estimate comorbidities burden for a specific disease: a case study on autoimmune comorbidities in patients with celiac disease.

Authors:  Jean-Baptiste Escudié; Bastien Rance; Georgia Malamut; Sherine Khater; Anita Burgun; Christophe Cellier; Anne-Sophie Jannot
Journal:  BMC Med Inform Decis Mak       Date:  2017-09-29       Impact factor: 2.796

6.  Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variants.

Authors:  Jason H Karnes; Lisa Bastarache; Christian M Shaffer; Silvana Gaudieri; Yaomin Xu; Andrew M Glazer; Jonathan D Mosley; Shilin Zhao; Soumya Raychaudhuri; Simon Mallal; Zhan Ye; John G Mayer; Murray H Brilliant; Scott J Hebbring; Dan M Roden; Elizabeth J Phillips; Joshua C Denny
Journal:  Sci Transl Med       Date:  2017-05-10       Impact factor: 17.956

Review 7.  The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future.

Authors:  Omri Gottesman; Helena Kuivaniemi; Gerard Tromp; W Andrew Faucett; Rongling Li; Teri A Manolio; Saskia C Sanderson; Joseph Kannry; Randi Zinberg; Melissa A Basford; Murray Brilliant; David J Carey; Rex L Chisholm; Christopher G Chute; John J Connolly; David Crosslin; Joshua C Denny; Carlos J Gallego; Jonathan L Haines; Hakon Hakonarson; John Harley; Gail P Jarvik; Isaac Kohane; Iftikhar J Kullo; Eric B Larson; Catherine McCarty; Marylyn D Ritchie; Dan M Roden; Maureen E Smith; Erwin P Böttinger; Marc S Williams
Journal:  Genet Med       Date:  2013-06-06       Impact factor: 8.822

8.  The Geisinger MyCode community health initiative: an electronic health record-linked biobank for precision medicine research.

Authors:  David J Carey; Samantha N Fetterolf; F Daniel Davis; William A Faucett; H Lester Kirchner; Uyenlinh Mirshahi; Michael F Murray; Diane T Smelser; Glenn S Gerhard; David H Ledbetter
Journal:  Genet Med       Date:  2016-02-11       Impact factor: 8.822

9.  Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records.

Authors:  Riccardo Miotto; Li Li; Brian A Kidd; Joel T Dudley
Journal:  Sci Rep       Date:  2016-05-17       Impact factor: 4.379

10.  Development of A Machine Learning Algorithm to Classify Drugs Of Unknown Fetal Effect.

Authors:  Mary Regina Boland; Fernanda Polubriaginof; Nicholas P Tatonetti
Journal:  Sci Rep       Date:  2017-10-09       Impact factor: 4.379

  10 in total

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