Literature DB >> 20031596

Impact of adding a single allele in the 9p21 locus to traditional risk factors on reclassification of coronary heart disease risk and implications for lipid-modifying therapy in the Atherosclerosis Risk in Communities study.

Ariel Brautbar1, Christie M Ballantyne, Kim Lawson, Vijay Nambi, Lloyd Chambless, Aaron R Folsom, James T Willerson, Eric Boerwinkle.   

Abstract

BACKGROUND: A single-nucleotide polymorphism on chromosome 9p21, rs10757274 (9p21 allele), has been shown to predict coronary heart disease (CHD) in whites. We evaluated whether adding the 9p21 allele to traditional risk factors (RFs) improved CHD risk prediction in whites from the Atherosclerosis Risk in Communities study and whether changes in risk prediction would modify lipid therapy recommendations. METHODS AND
RESULTS: Whites (n=9998) in the Atherosclerosis Risk in Communities study for whom the 9p21 genotype and traditional RF information was available were included. Using Cox proportional hazards models, the Atherosclerosis Risk in Communities Cardiovascular Risk Score, which is based on traditional RFs, was determined. A total of 1349 individuals (13.5%) developed incident CHD events during a period of 14.6 years. Adding the 9p21 allele to traditional RFs was associated with a hazard ratio of incident CHD of 1.2 per allele (P<0.000003) and a significant increase in the area under the curve of the receiver operating characteristic from 0.782 to 0.786 (95% CI, 0.001, 0.007). The 9p21 allele's greatest influence to the Atherosclerosis Risk in Communities Cardiovascular Risk Score was observed in the intermediate-low (>5% to <or=10% 10-year CHD risk) and intermediate-high (>10% to <or=20% 10-year CHD risk) categories, with 12.1% and 12.6% reclassified, respectively. This may impact therapy because 90% of these reclassified individuals had low-density lipoprotein cholesterol >100 mg/dL.
CONCLUSIONS: Adding the 9p21 allele to traditional RFs in whites in the Atherosclerosis Risk in Communities study modestly improved CHD risk prediction in the intermediate categories.

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Year:  2009        PMID: 20031596      PMCID: PMC2771929          DOI: 10.1161/CIRCGENETICS.108.817338

Source DB:  PubMed          Journal:  Circ Cardiovasc Genet        ISSN: 1942-3268


  24 in total

1.  Chromosome 9p21.3 coronary heart disease locus genotype and prospective risk of CHD in healthy middle-aged men.

Authors:  Philippa J Talmud; Jackie A Cooper; Jutta Palmen; Ruth Lovering; Fotios Drenos; Aroon D Hingorani; Steve E Humphries
Journal:  Clin Chem       Date:  2008-02-04       Impact factor: 8.327

2.  Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ralph B D'Agostino; Ramachandran S Vasan
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3.  Genome scanning and cardiovascular disease.

Authors:  Eric J Topol
Journal:  Heart       Date:  2008-07-31       Impact factor: 5.994

4.  Prediction of coronary heart disease using risk factor categories.

Authors:  P W Wilson; R B D'Agostino; D Levy; A M Belanger; H Silbershatz; W B Kannel
Journal:  Circulation       Date:  1998-05-12       Impact factor: 29.690

5.  Community surveillance of coronary heart disease in the Atherosclerosis Risk in Communities (ARIC) Study: methods and initial two years' experience.

Authors:  A D White; A R Folsom; L E Chambless; A R Sharret; K Yang; D Conwill; M Higgins; O D Williams; H A Tyroler
Journal:  J Clin Epidemiol       Date:  1996-02       Impact factor: 6.437

6.  Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score.

Authors:  Paul M Ridker; Julie E Buring; Nader Rifai; Nancy R Cook
Journal:  JAMA       Date:  2007-02-14       Impact factor: 56.272

7.  A common allele on chromosome 9 associated with coronary heart disease.

Authors:  Ruth McPherson; Alexander Pertsemlidis; Nihan Kavaslar; Alexandre Stewart; Robert Roberts; David R Cox; David A Hinds; Len A Pennacchio; Anne Tybjaerg-Hansen; Aaron R Folsom; Eric Boerwinkle; Helen H Hobbs; Jonathan C Cohen
Journal:  Science       Date:  2007-05-03       Impact factor: 47.728

8.  Susceptibility locus for clinical and subclinical coronary artery disease at chromosome 9p21 in the multi-ethnic ADVANCE study.

Authors:  Themistocles L Assimes; Joshua W Knowles; Analabha Basu; Carlos Iribarren; Audrey Southwick; Hua Tang; Devin Absher; Jun Li; Joan M Fair; Geoffrey D Rubin; Stephen Sidney; Stephen P Fortmann; Alan S Go; Mark A Hlatky; Richard M Myers; Neil Risch; Thomas Quertermous
Journal:  Hum Mol Genet       Date:  2008-04-28       Impact factor: 6.150

9.  Repeated replication and a prospective meta-analysis of the association between chromosome 9p21.3 and coronary artery disease.

Authors:  Heribert Schunkert; Anika Götz; Peter Braund; Ralph McGinnis; David-Alexandre Tregouet; Massimo Mangino; Patrick Linsel-Nitschke; Francois Cambien; Christian Hengstenberg; Klaus Stark; Stefan Blankenberg; Laurence Tiret; Pierre Ducimetiere; Andrew Keniry; Mohammed J R Ghori; Stefan Schreiber; Nour Eddine El Mokhtari; Alistair S Hall; Richard J Dixon; Alison H Goodall; Henrike Liptau; Helen Pollard; Daniel F Schwarz; Ludwig A Hothorn; H-Erich Wichmann; Inke R König; Marcus Fischer; Christa Meisinger; Willem Ouwehand; Panos Deloukas; John R Thompson; Jeanette Erdmann; Andreas Ziegler; Nilesh J Samani
Journal:  Circulation       Date:  2008-03-24       Impact factor: 29.690

10.  Genomewide association analysis of coronary artery disease.

Authors:  Nilesh J Samani; Jeanette Erdmann; Alistair S Hall; Christian Hengstenberg; Massimo Mangino; Bjoern Mayer; Richard J Dixon; Thomas Meitinger; Peter Braund; H-Erich Wichmann; Jennifer H Barrett; Inke R König; Suzanne E Stevens; Silke Szymczak; David-Alexandre Tregouet; Mark M Iles; Friedrich Pahlke; Helen Pollard; Wolfgang Lieb; Francois Cambien; Marcus Fischer; Willem Ouwehand; Stefan Blankenberg; Anthony J Balmforth; Andrea Baessler; Stephen G Ball; Tim M Strom; Ingrid Braenne; Christian Gieger; Panos Deloukas; Martin D Tobin; Andreas Ziegler; John R Thompson; Heribert Schunkert
Journal:  N Engl J Med       Date:  2007-07-18       Impact factor: 91.245

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  44 in total

1.  Role of genomics in cardiovascular medicine.

Authors:  Giuseppe Novelli; Irene M Predazzi; Ruggiero Mango; Francesco Romeo; Jawahar L Mehta
Journal:  World J Cardiol       Date:  2010-12-26

2.  Improved prediction of cardiovascular disease based on a panel of single nucleotide polymorphisms identified through genome-wide association studies.

Authors:  Robert W Davies; Sonny Dandona; Alexandre F R Stewart; Li Chen; Stephan G Ellis; W H Wilson Tang; Stanley L Hazen; Robert Roberts; Ruth McPherson; George A Wells
Journal:  Circ Cardiovasc Genet       Date:  2010-08-21

3.  The relationship between polymorphisms on chromosome 9p21 and age of onset of coronary heart disease in black and white women.

Authors:  Theresa M Beckie; Maureen W Groër; Jason W Beckstead
Journal:  Genet Test Mol Biomarkers       Date:  2011-03-04

Review 4.  Early identification of cardiovascular risk using genomics and proteomics.

Authors:  Iftikhar J Kullo; Leslie T Cooper
Journal:  Nat Rev Cardiol       Date:  2010-05-04       Impact factor: 32.419

Review 5.  Personalized genomes and cardiovascular disease.

Authors:  Kiran Musunuru
Journal:  Cold Spring Harb Perspect Med       Date:  2014-09-25       Impact factor: 6.915

6.  The 9p21 genetic variant is additive to carotid intima media thickness and plaque in improving coronary heart disease risk prediction in white participants of the Atherosclerosis Risk in Communities (ARIC) Study.

Authors:  Vijay Nambi; Eric Boerwinkle; Kim Lawson; Ariel Brautbar; Lloyd Chambless; Nora Franeschini; Kari E North; Salim S Virani; Aaron R Folsom; Christie M Ballantyne
Journal:  Atherosclerosis       Date:  2012-02-03       Impact factor: 5.162

7.  The association between variants on chromosome 9p21 and inflammatory biomarkers in ethnically diverse women with coronary heart disease: a pilot study.

Authors:  Theresa M Beckie; Jason W Beckstead; Maureen W Groer
Journal:  Biol Res Nurs       Date:  2011-07       Impact factor: 2.522

8.  Genome-wide association study of coronary artery disease.

Authors:  Naomi Ogawa; Yasushi Imai; Hiroyuki Morita; Ryozo Nagai
Journal:  Int J Hypertens       Date:  2010-09-21       Impact factor: 2.420

Review 9.  "Personalizing" academic medicine: opportunities and challenges in implementing genomic profiling.

Authors:  David J Tweardy; John W Belmont
Journal:  Transl Res       Date:  2009-10-06       Impact factor: 7.012

10.  A bias-corrected net reclassification improvement for clinical subgroups.

Authors:  Nina P Paynter; Nancy R Cook
Journal:  Med Decis Making       Date:  2012-10-05       Impact factor: 2.583

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