Literature DB >> 20826242

Reclassification of cardiovascular risk using integrated clinical and molecular biosignatures: Design of and rationale for the Measurement to Understand the Reclassification of Disease of Cabarrus and Kannapolis (MURDOCK) Horizon 1 Cardiovascular Disease Study.

Svati H Shah1, Christopher B Granger, Elizabeth R Hauser, William E Kraus, Jie-Lena Sun, Karen Pieper, Charlotte L Nelson, Elizabeth R Delong, Robert M Califf, L Kristin Newby.   

Abstract

BACKGROUND: Clinical predictive models leave gaps in our ability to stratify cardiovascular risk. High-throughput molecular profiling promises to improve risk classification.
METHODS: Horizon 1 of the Measurement to Understand the Reclassification of Disease of Cabarrus and Kannapolis (MURDOCK) Study was conceived to apply emerging molecular techniques to existing data sets to characterize mechanistic diversity underlying complex human diseases, response to therapy, and prognosis. No previous studies have applied multiple, complementary molecular techniques in combination with well-developed clinical risk models to refine cardiovascular risk prediction. The MURDOCK Cardiovascular Disease Study will assess molecular profiles integrated with clinical data in "clinomic" profiles for cardiovascular risk classification.
CONCLUSION: Herein, we describe the design of and rationale for the MURDOCK Cardiovascular Disease Study. 2010 Mosby, Inc. All rights reserved.

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Year:  2010        PMID: 20826242     DOI: 10.1016/j.ahj.2010.06.051

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  25 in total

1.  Metabolic profiles predict adverse events after coronary artery bypass grafting.

Authors:  Asad A Shah; Damian M Craig; Jacqueline K Sebek; Carol Haynes; Robert C Stevens; Michael J Muehlbauer; Christopher B Granger; Elizabeth R Hauser; L Kristin Newby; Christopher B Newgard; William E Kraus; G Chad Hughes; Svati H Shah
Journal:  J Thorac Cardiovasc Surg       Date:  2012-02-04       Impact factor: 5.209

2.  Preliminary evidence of effects of potassium chloride on a metabolomic path to diabetes and cardiovascular disease.

Authors:  Ranee Chatterjee; Clemontina A Davenport; Lydia Kwee; David D'Alessio; Laura P Svetkey; Pao-Hwa Lin; Cris A Slentz; Olga Ilkayeva; Johanna Johnson; David Edelman; Svati H Shah
Journal:  Metabolomics       Date:  2020-06-18       Impact factor: 4.290

Review 3.  A Guide for a Cardiovascular Genomics Biorepository: the CATHGEN Experience.

Authors:  William E Kraus; Christopher B Granger; Michael H Sketch; Mark P Donahue; Geoffrey S Ginsburg; Elizabeth R Hauser; Carol Haynes; L Kristin Newby; Melissa Hurdle; Z Elaine Dowdy; Svati H Shah
Journal:  J Cardiovasc Transl Res       Date:  2015-08-14       Impact factor: 4.132

4.  Validation of the association between a branched chain amino acid metabolite profile and extremes of coronary artery disease in patients referred for cardiac catheterization.

Authors:  Sayanti Bhattacharya; Christopher B Granger; Damian Craig; Carol Haynes; James Bain; Robert D Stevens; Elizabeth R Hauser; Christopher B Newgard; William E Kraus; L Kristin Newby; Svati H Shah
Journal:  Atherosclerosis       Date:  2013-11-12       Impact factor: 5.162

5.  The MURDOCK Study: a long-term initiative for disease reclassification through advanced biomarker discovery and integration with electronic health records.

Authors:  Jessica D Tenenbaum; Victoria Christian; Melissa A Cornish; Rowena J Dolor; Ashley A Dunham; Geoffrey S Ginsburg; Virginia B Kraus; John G McHutchison; Meredith L Nahm; L Kristin Newby; Laura P Svetkey; Krishna Udayakumar; Robert M Califf
Journal:  Am J Transl Res       Date:  2012-07-23       Impact factor: 4.060

6.  HLA-DQA1 and PLCG2 Are Candidate Risk Loci for Childhood-Onset Steroid-Sensitive Nephrotic Syndrome.

Authors:  Rasheed A Gbadegesin; Adebowale Adeyemo; Nicholas J A Webb; Larry A Greenbaum; Asiri Abeyagunawardena; Shenal Thalgahagoda; Arundhati Kale; Debbie Gipson; Tarak Srivastava; Jen-Jar Lin; Deepa Chand; Tracy E Hunley; Patrick D Brophy; Arvind Bagga; Aditi Sinha; Michelle N Rheault; Joanna Ghali; Kathy Nicholls; Elizabeth Abraham; Halima S Janjua; Abiodun Omoloja; Gina-Marie Barletta; Yi Cai; David D Milford; Catherine O'Brien; Atif Awan; Vladimir Belostotsky; William E Smoyer; Alison Homstad; Gentzon Hall; Guanghong Wu; Shashi Nagaraj; Delbert Wigfall; John Foreman; Michelle P Winn
Journal:  J Am Soc Nephrol       Date:  2014-10-27       Impact factor: 10.121

7.  The missing indicator approach for censored covariates subject to limit of detection in logistic regression models.

Authors:  Sy Han Chiou; Rebecca A Betensky; Raji Balasubramanian
Journal:  Ann Epidemiol       Date:  2019-08-13       Impact factor: 3.797

8.  Association of Plasma Small-Molecule Intermediate Metabolites With Age and Body Mass Index Across Six Diverse Study Populations.

Authors:  William E Kraus; Carl F Pieper; Kim M Huffman; Dana K Thompson; Virginia B Kraus; Miriam C Morey; Harvey J Cohen; Eric Ravussin; Leanne M Redman; James R Bain; Robert D Stevens; Christopher B Newgard
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2016-03-16       Impact factor: 6.053

9.  SLCO1B1 genetic variants, long-term low-density lipoprotein cholesterol levels and clinical events in patients following cardiac catheterization.

Authors:  Josephine H Li; Sunil Suchindran; Svati H Shah; William E Kraus; Geoffrey S Ginsburg; Deepak Voora
Journal:  Pharmacogenomics       Date:  2015       Impact factor: 2.533

10.  Branched chain amino acids are novel biomarkers for discrimination of metabolic wellness.

Authors:  Bryan C Batch; Svati H Shah; Christopher B Newgard; Christy B Turer; Carol Haynes; James R Bain; Michael Muehlbauer; Mahesh J Patel; Robert D Stevens; Lawrence J Appel; L Kristin Newby; Laura P Svetkey
Journal:  Metabolism       Date:  2013-02-01       Impact factor: 8.694

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