Literature DB >> 22235037

A genetic risk score is associated with incident cardiovascular disease and coronary artery calcium: the Framingham Heart Study.

George Thanassoulis1, Gina M Peloso, Michael J Pencina, Udo Hoffmann, Caroline S Fox, L Adrienne Cupples, Daniel Levy, Ralph B D'Agostino, Shih-Jen Hwang, Christopher J O'Donnell.   

Abstract

BACKGROUND: Limited data exist regarding the use of a genetic risk score (GRS) for predicting risk of incident cardiovascular disease (CVD) in US-based samples. METHODS AND
RESULTS: By using findings from recent genome-wide association studies, we constructed GRSs composed of 13 genetic variants associated with myocardial infarction or other manifestations of coronary heart disease (CHD) and 102 genetic variants associated with CHD or its major risk factors. We also updated the 13 single-nucleotide polymorphism (SNP) GRSs with 16 SNPs recently discovered by genome-wide association studies. We estimated the association, discrimination, and risk reclassification of each GRS for incident cardiovascular events and prevalent coronary artery calcium (CAC). In analyses adjusted for age, sex, CVD risk factors, and parental history of CVD, the 13 SNP GRSs were significantly associated with incident hard CHD (hazard ratio, 1.07; 95% CI, 1.00-1.15; P=0.04), CVD (hazard ratio per allele, 1.05; 95% CI, 1.01-1.09; P=0.03), and high CAC (defined as >75(th) age- and sex-specific percentile; odds ratio per allele, 1.18; 95% CI, 1.11-1.26; P=3.4×10(-7)). The GRS did not improve discrimination for incident CHD or CVD but led to modest improvements in risk reclassification. However, significant improvements in discrimination and risk reclassification were observed for the prediction of high CAC. The addition of 16 newly discovered SNPs to the 13 SNP GRSs did not significantly modify these results.
CONCLUSIONS: A GRS composed of 13 SNPs associated with coronary disease is an independent predictor of cardiovascular events and of high CAC, modestly improves risk reclassification for incident CHD, and significantly improves discrimination for high CAC. The addition of recently discovered SNPs did not significantly improve the performance of this GRS.

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Year:  2012        PMID: 22235037      PMCID: PMC3292865          DOI: 10.1161/CIRCGENETICS.111.961342

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


  53 in total

1.  An approach to longitudinal studies in a community: the Framingham Study.

Authors:  T R DAWBER; W B KANNEL; L P LYELL
Journal:  Ann N Y Acad Sci       Date:  1963-05-22       Impact factor: 5.691

2.  A common variant on chromosome 9p21 affects the risk of myocardial infarction.

Authors:  Anna Helgadottir; Gudmar Thorleifsson; Andrei Manolescu; Solveig Gretarsdottir; Thorarinn Blondal; Aslaug Jonasdottir; Adalbjorg Jonasdottir; Asgeir Sigurdsson; Adam Baker; Arnar Palsson; Gisli Masson; Daniel F Gudbjartsson; Kristinn P Magnusson; Karl Andersen; Allan I Levey; Valgerdur M Backman; Sigurborg Matthiasdottir; Thorbjorg Jonsdottir; Stefan Palsson; Helga Einarsdottir; Steinunn Gunnarsdottir; Arnaldur Gylfason; Viola Vaccarino; W Craig Hooper; Muredach P Reilly; Christopher B Granger; Harland Austin; Daniel J Rader; Svati H Shah; Arshed A Quyyumi; Jeffrey R Gulcher; Gudmundur Thorgeirsson; Unnur Thorsteinsdottir; Augustine Kong; Kari Stefansson
Journal:  Science       Date:  2007-05-03       Impact factor: 47.728

3.  The Third Generation Cohort of the National Heart, Lung, and Blood Institute's Framingham Heart Study: design, recruitment, and initial examination.

Authors:  Greta Lee Splansky; Diane Corey; Qiong Yang; Larry D Atwood; L Adrienne Cupples; Emelia J Benjamin; Ralph B D'Agostino; Caroline S Fox; Martin G Larson; Joanne M Murabito; Christopher J O'Donnell; Ramachandran S Vasan; Philip A Wolf; Daniel Levy
Journal:  Am J Epidemiol       Date:  2007-03-19       Impact factor: 4.897

4.  Candidate gene genotypes, along with conventional risk factor assessment, improve estimation of coronary heart disease risk in healthy UK men.

Authors:  Steve E Humphries; Jackie A Cooper; Philippa J Talmud; George J Miller
Journal:  Clin Chem       Date:  2006-11-27       Impact factor: 8.327

5.  Sibling cardiovascular disease as a risk factor for cardiovascular disease in middle-aged adults.

Authors:  Joanne M Murabito; Michael J Pencina; Byung-Ho Nam; Ralph B D'Agostino; Thomas J Wang; Donald Lloyd-Jones; Peter W F Wilson; Christopher J O'Donnell
Journal:  JAMA       Date:  2005-12-28       Impact factor: 56.272

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.  Genetic effects versus bias for candidate polymorphisms in myocardial infarction: case study and overview of large-scale evidence.

Authors:  Evangelia E Ntzani; Evangelos C Rizos; John P A Ioannidis
Journal:  Am J Epidemiol       Date:  2007-02-10       Impact factor: 4.897

8.  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

Review 9.  Nonvalidation of reported genetic risk factors for acute coronary syndrome in a large-scale replication study.

Authors:  Thomas M Morgan; Harlan M Krumholz; Richard P Lifton; John A Spertus
Journal:  JAMA       Date:  2007-04-11       Impact factor: 56.272

10.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.

Authors: 
Journal:  Nature       Date:  2007-06-07       Impact factor: 49.962

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1.  Effect of Disclosing Genetic Risk for Coronary Heart Disease on Information Seeking and Sharing: The MI-GENES Study (Myocardial Infarction Genes).

Authors:  Sherry-Ann N Brown; Hayan Jouni; Tariq S Marroush; Iftikhar J Kullo
Journal:  Circ Cardiovasc Genet       Date:  2017-08

Review 2.  Polygenic Scores to Assess Atherosclerotic Cardiovascular Disease Risk: Clinical Perspectives and Basic Implications.

Authors:  Krishna G Aragam; Pradeep Natarajan
Journal:  Circ Res       Date:  2020-04-23       Impact factor: 17.367

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Journal:  Circulation       Date:  2013-12-18       Impact factor: 29.690

4.  Reducing Cardiovascular Risk Using Genomic Information in the Era of Precision Medicine.

Authors:  Pradeep Natarajan; Christopher J O'Donnell
Journal:  Circulation       Date:  2016-02-25       Impact factor: 29.690

5.  Incorporating a Genetic Risk Score Into Coronary Heart Disease Risk Estimates: Effect on Low-Density Lipoprotein Cholesterol Levels (the MI-GENES Clinical Trial).

Authors:  Iftikhar J Kullo; Hayan Jouni; Erin E Austin; Sherry-Ann Brown; Teresa M Kruisselbrink; Iyad N Isseh; Raad A Haddad; Tariq S Marroush; Khader Shameer; Janet E Olson; Ulrich Broeckel; Robert C Green; Daniel J Schaid; Victor M Montori; Kent R Bailey
Journal:  Circulation       Date:  2016-02-25       Impact factor: 29.690

6.  Do Genetic Markers of Inflammation Modify the Relationship between Periodontitis and Nonalcoholic Fatty Liver Disease? Findings from the SHIP Study.

Authors:  A A Akinkugbe; C L Avery; A S Barritt; S R Cole; M Lerch; J Mayerle; S Offenbacher; A Petersmann; M Nauck; H Völzke; G D Slade; G Heiss; T Kocher; B Holtfreter
Journal:  J Dent Res       Date:  2017-07-21       Impact factor: 6.116

7.  Future translational applications from the contemporary genomics era: a scientific statement from the American Heart Association.

Authors:  Caroline S Fox; Jennifer L Hall; Donna K Arnett; Euan A Ashley; Christian Delles; Mary B Engler; Mason W Freeman; Julie A Johnson; David E Lanfear; Stephen B Liggett; Aldons J Lusis; Joseph Loscalzo; Calum A MacRae; Kiran Musunuru; L Kristin Newby; Christopher J O'Donnell; Stephen S Rich; Andre Terzic
Journal:  Circulation       Date:  2015-04-16       Impact factor: 29.690

Review 8.  Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association.

Authors:  Emelia J Benjamin; Michael J Blaha; Stephanie E Chiuve; Mary Cushman; Sandeep R Das; Rajat Deo; Sarah D de Ferranti; James Floyd; Myriam Fornage; Cathleen Gillespie; Carmen R Isasi; Monik C Jiménez; Lori Chaffin Jordan; Suzanne E Judd; Daniel Lackland; Judith H Lichtman; Lynda Lisabeth; Simin Liu; Chris T Longenecker; Rachel H Mackey; Kunihiro Matsushita; Dariush Mozaffarian; Michael E Mussolino; Khurram Nasir; Robert W Neumar; Latha Palaniappan; Dilip K Pandey; Ravi R Thiagarajan; Mathew J Reeves; Matthew Ritchey; Carlos J Rodriguez; Gregory A Roth; Wayne D Rosamond; Comilla Sasson; Amytis Towfighi; Connie W Tsao; Melanie B Turner; Salim S Virani; Jenifer H Voeks; Joshua Z Willey; John T Wilkins; Jason Hy Wu; Heather M Alger; Sally S Wong; Paul Muntner
Journal:  Circulation       Date:  2017-01-25       Impact factor: 29.690

9.  Coronary Heart Disease Genetic Risk Score Predicts Cardiovascular Disease Risk in Men, Not Women.

Authors:  Catherine Hajek; Xiuqing Guo; Jie Yao; Yang Hai; W Craig Johnson; Alexis C Frazier-Wood; Wendy S Post; Bruce M Psaty; Kent D Taylor; Jerome I Rotter
Journal:  Circ Genom Precis Med       Date:  2018-10

Review 10.  Genetics of coronary artery disease and myocardial infarction--2013.

Authors:  Thorsten Kessler; Jeanette Erdmann; Heribert Schunkert
Journal:  Curr Cardiol Rep       Date:  2013-06       Impact factor: 2.931

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