Literature DB >> 21719615

Genome-wide association studies go green: novel and cost-effective opportunities for identifying genetic associations.

Celine M Vachon.   

Abstract

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Year:  2011        PMID： 21719615      PMCID： PMC3127553          DOI： 10.4065/mcp.2011.0337

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN： 0025-6196            Impact factor:   7.616


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  13 in total

1.  Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.

Authors:  Guergana K Savova; James J Masanz; Philip V Ogren; Jiaping Zheng; Sunghwan Sohn; Karin C Kipper-Schuler; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

2.  Performance of common genetic variants in breast-cancer risk models.

Authors:  Sholom Wacholder; Patricia Hartge; Ross Prentice; Montserrat Garcia-Closas; Heather Spencer Feigelson; W Ryan Diver; Michael J Thun; David G Cox; Susan E Hankinson; Peter Kraft; Bernard Rosner; Christine D Berg; Louise A Brinton; Jolanta Lissowska; Mark E Sherman; Rowan Chlebowski; Charles Kooperberg; Rebecca D Jackson; Dennis W Buckman; Peter Hui; Ruth Pfeiffer; Kevin B Jacobs; Gilles D Thomas; Robert N Hoover; Mitchell H Gail; Stephen J Chanock; David J Hunter
Journal:  N Engl J Med       Date:  2010-03-18       Impact factor: 91.245

Review 3.  Using electronic health records to drive discovery in disease genomics.

Authors:  Isaac S Kohane
Journal:  Nat Rev Genet       Date:  2011-05-18       Impact factor: 53.242

4.  Warfarin genotyping reduces hospitalization rates results from the MM-WES (Medco-Mayo Warfarin Effectiveness study).

Authors:  Robert S Epstein; Thomas P Moyer; Ronald E Aubert; Dennis J O Kane; Fang Xia; Robert R Verbrugge; Brian F Gage; J Russell Teagarden
Journal:  J Am Coll Cardiol       Date:  2010-04-08       Impact factor: 24.094

5.  Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease.

Authors:  Iftikhar J Kullo; Jin Fan; Jyotishman Pathak; Guergana K Savova; Zeenat Ali; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

6.  Mayo Genome Consortia: a genotype-phenotype resource for genome-wide association studies with an application to the analysis of circulating bilirubin levels.

Authors:  Suzette J Bielinski; High Seng Chai; Jyotishman Pathak; Jayant A Talwalkar; Paul J Limburg; Rachel E Gullerud; Hugues Sicotte; Eric W Klee; Jason L Ross; Jean-Pierre A Kocher; Iftikhar J Kullo; John A Heit; Gloria M Petersen; Mariza de Andrade; Christopher G Chute
Journal:  Mayo Clin Proc       Date:  2011-06-06       Impact factor: 7.616

Review 7.  Genomics and drug response.

Authors:  Liewei Wang; Howard L McLeod; Richard M Weinshilboum
Journal:  N Engl J Med       Date:  2011-03-24       Impact factor: 91.245

8.  The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies.

Authors:  Catherine A McCarty; Rex L Chisholm; Christopher G Chute; Iftikhar J Kullo; Gail P Jarvik; Eric B Larson; Rongling Li; Daniel R Masys; Marylyn D Ritchie; Dan M Roden; Jeffery P Struewing; Wendy A Wolf
Journal:  BMC Med Genomics       Date:  2011-01-26       Impact factor: 3.063

9.  A multilocus genetic risk score for coronary heart disease: case-control and prospective cohort analyses.

Authors:  Samuli Ripatti; Emmi Tikkanen; Marju Orho-Melander; Aki S Havulinna; Kaisa Silander; Amitabh Sharma; Candace Guiducci; Markus Perola; Antti Jula; Juha Sinisalo; Marja-Liisa Lokki; Markku S Nieminen; Olle Melander; Veikko Salomaa; Leena Peltonen; Sekar Kathiresan
Journal:  Lancet       Date:  2010-10-23       Impact factor: 79.321

10.  Estimation of the warfarin dose with clinical and pharmacogenetic data.

Authors:  T E Klein; R B Altman; N Eriksson; B F Gage; S E Kimmel; M-T M Lee; N A Limdi; D Page; D M Roden; M J Wagner; M D Caldwell; J A Johnson
Journal:  N Engl J Med       Date:  2009-02-19       Impact factor: 91.245
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