Literature DB >> 15164070

Predicting disease using genomics.

John Bell1.   

Abstract

Information from the human genome sequence will eventually alter many aspects of clinical practice. It will increase through our understanding of disease mechanisms, and guide the development of new drugs and therapeutic procedures. In the short term, however, knowledge of the genome will have a profound clinical impact on the diagnostic capability of clinical genetics laboratories. Molecular phenotyping using genetic and genomic information will allow early and more accurate prediction and diagnosis of disease and of disease progression. Medicine will become oriented towards disease prevention rather than efforts to cure people at late stages of illness.

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Year:  2004        PMID: 15164070     DOI: 10.1038/nature02624

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


  37 in total

1.  Clinical and translational sciences: at the intersection of molecular and individualized medicine.

Authors:  Scott A Waldman; Andre Terzic
Journal:  Clin Transl Sci       Date:  2008-05       Impact factor: 4.689

Review 2.  Cardiovascular genetic medicine: the genetics of coronary heart disease.

Authors:  David Seo; Pascal J Goldschmidt-Clermont
Journal:  J Cardiovasc Transl Res       Date:  2008-05-23       Impact factor: 4.132

3.  ATP-sensitive K(+) channel-deficient dilated cardiomyopathy proteome remodeled by embryonic stem cell therapy.

Authors:  Jelena Zlatkovic-Lindor; D Kent Arrell; Satsuki Yamada; Timothy J Nelson; Andre Terzic
Journal:  Stem Cells       Date:  2010-08       Impact factor: 6.277

4.  Decoded calreticulin-deficient embryonic stem cell transcriptome resolves latent cardiophenotype.

Authors:  Randolph S Faustino; Anca Chiriac; Nicolas J Niederlander; Timothy J Nelson; Atta Behfar; Prasanna K Mishra; Slobodan Macura; Marek Michalak; Andre Terzic; Carmen Perez-Terzic
Journal:  Stem Cells       Date:  2010-07       Impact factor: 6.277

Review 5.  Complex Trait Prediction from Genome Data: Contrasting EBV in Livestock to PRS in Humans: Genomic Prediction.

Authors:  Naomi R Wray; Kathryn E Kemper; Benjamin J Hayes; Michael E Goddard; Peter M Visscher
Journal:  Genetics       Date:  2019-04       Impact factor: 4.562

Review 6.  Genetic epidemiology of diabetes.

Authors:  M Alan Permutt; Jonathon Wasson; Nancy Cox
Journal:  J Clin Invest       Date:  2005-06       Impact factor: 14.808

7.  Using polymeric materials to generate an amplified response to molecular recognition events.

Authors:  Hadley D Sikes; Ryan R Hansen; Leah M Johnson; Robert Jenison; John W Birks; Kathy L Rowlen; Christopher N Bowman
Journal:  Nat Mater       Date:  2007-10-28       Impact factor: 43.841

8.  Prediction of individual genetic risk to disease from genome-wide association studies.

Authors:  Naomi R Wray; Michael E Goddard; Peter M Visscher
Journal:  Genome Res       Date:  2007-09-04       Impact factor: 9.043

9.  The Impact of Receiving Predictive Genetic Information about Lynch Syndrome on Individual Colonoscopy and Smoking Behaviors.

Authors:  Joanne Soo-Min Kim; Peter C Coyte; Michelle Cotterchio; Louise A Keogh; Louisa B Flander; Clara Gaff; Audrey Laporte
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-08-15       Impact factor: 4.254

10.  Embryonic stem cell therapy of heart failure in genetic cardiomyopathy.

Authors:  Satsuki Yamada; Timothy J Nelson; Ruben J Crespo-Diaz; Carmen Perez-Terzic; Xiao-Ke Liu; Takashi Miki; Susumu Seino; Atta Behfar; Andre Terzic
Journal:  Stem Cells       Date:  2008-07-31       Impact factor: 6.277

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