Literature DB >> 30571185

Genomic Risk Stratification Predicts All-Cause Mortality After Cardiac Catheterization.

Michael G Levin1, Rachel L Kember2, Renae Judy3, David Birtwell1, Heather Williams1, Zolt Arany1, Jay Giri1,4, Marie Guerraty1, Tom Cappola1, Jinbo Chen5, Daniel J Rader2, Scott M Damrauer3,4.   

Abstract

BACKGROUND: Coronary artery disease (CAD) is influenced by genetic variation and traditional risk factors. Polygenic risk scores (PRS), which can be ascertained before the development of traditional risk factors, have been shown to identify individuals at elevated risk of CAD. Here, we demonstrate that a genome-wide PRS for CAD predicts all-cause mortality after accounting for not only traditional cardiovascular risk factors but also angiographic CAD itself.
METHODS: Individuals who underwent coronary angiography and were enrolled in an institutional biobank were included; those with prior myocardial infarction or heart transplant were excluded. Using a pruning-and-thresholding approach, a genome-wide PRS comprised of 139 239 variants was calculated for 1503 participants who underwent coronary angiography and genotyping. Individuals were categorized into high PRS (hiPRS) and low-PRS control groups using the maximally selected rank statistic. Stratified analysis based on angiographic findings was also performed. The primary outcome was all-cause mortality following the index coronary angiogram.
RESULTS: Individuals with hiPRS were younger than controls (66 years versus 69 years; P=2.1×10-5) but did not differ by sex, body mass index, or traditional risk-factor profiles. Individuals with hiPRS were at significantly increased risk of all-cause mortality after cardiac catheterization, adjusting for traditional risk factors and angiographic extent of CAD (hazard ratio, 1.6; 95% CI, 1.2-2.2; P=0.004). The strongest increase in risk of all-cause mortality conferred by hiPRS was seen among individuals without angiographic CAD (hazard ratio, 2.4; 95% CI, 1.1-5.5; P=0.04). In the overall cohort, adding hiPRS to traditional risk assessment improved prediction of 5-year all-cause mortality (area under the receiver-operating curve 0.70; 95% CI, 0.66-0.75 versus 0.66; 95% CI, 0.61-0.70; P=0.001).
CONCLUSIONS: A genome-wide PRS improves risk stratification when added to traditional risk factors and coronary angiography. Individuals without angiographic CAD but with hiPRS remain at significantly elevated risk of mortality.

Entities:  

Keywords:  cardiac catheterization; coronary angiography; coronary artery disease; human genetics; myocardial infarction; risk

Mesh:

Year:  2018        PMID: 30571185      PMCID: PMC6310018          DOI: 10.1161/CIRCGEN.118.002352

Source DB:  PubMed          Journal:  Circ Genom Precis Med        ISSN: 2574-8300


  26 in total

1.  Nonobstructive coronary artery disease and risk of myocardial infarction.

Authors:  Thomas M Maddox; Maggie A Stanislawski; Gary K Grunwald; Steven M Bradley; P Michael Ho; Thomas T Tsai; Manesh R Patel; Amneet Sandhu; Javier Valle; David J Magid; Benjamin Leon; Deepak L Bhatt; Stephan D Fihn; John S Rumsfeld
Journal:  JAMA       Date:  2014-11-05       Impact factor: 56.272

2.  Sequence variations in PCSK9, low LDL, and protection against coronary heart disease.

Authors:  Jonathan C Cohen; Eric Boerwinkle; Thomas H Mosley; Helen H Hobbs
Journal:  N Engl J Med       Date:  2006-03-23       Impact factor: 91.245

3.  Mutations causative of familial hypercholesterolaemia: screening of 98 098 individuals from the Copenhagen General Population Study estimated a prevalence of 1 in 217.

Authors:  Marianne Benn; Gerald F Watts; Anne Tybjærg-Hansen; Børge G Nordestgaard
Journal:  Eur Heart J       Date:  2016-02-22       Impact factor: 29.983

4.  Identifying Novel Gene Variants in Coronary Artery Disease and Shared Genes With Several Cardiovascular Risk Factors.

Authors:  Marissa LeBlanc; Verena Zuber; Bettina Kulle Andreassen; Aree Witoelar; Lingyao Zeng; Francesco Bettella; Yunpeng Wang; Linda K McEvoy; Wesley K Thompson; Andrew J Schork; Sjur Reppe; Elizabeth Barrett-Connor; Symen Ligthart; Abbas Dehghan; Kaare M Gautvik; Christopher P Nelson; Heribert Schunkert; Nilesh J Samani; Paul M Ridker; Daniel I Chasman; Pål Aukrust; Srdjan Djurovic; Arnoldo Frigessi; Rahul S Desikan; Anders M Dale; Ole A Andreassen
Journal:  Circ Res       Date:  2015-10-20       Impact factor: 17.367

Review 5.  Genetics of Coronary Artery Disease.

Authors:  Ruth McPherson; Anne Tybjaerg-Hansen
Journal:  Circ Res       Date:  2016-02-19       Impact factor: 17.367

6.  General cardiovascular risk profile for use in primary care: the Framingham Heart Study.

Authors:  Ralph B D'Agostino; Ramachandran S Vasan; Michael J Pencina; Philip A Wolf; Mark Cobain; Joseph M Massaro; William B Kannel
Journal:  Circulation       Date:  2008-01-22       Impact factor: 29.690

7.  Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease.

Authors:  Amit V Khera; Connor A Emdin; Isabel Drake; Pradeep Natarajan; Alexander G Bick; Nancy R Cook; Daniel I Chasman; Usman Baber; Roxana Mehran; Daniel J Rader; Valentin Fuster; Eric Boerwinkle; Olle Melander; Marju Orho-Melander; Paul M Ridker; Sekar Kathiresan
Journal:  N Engl J Med       Date:  2016-11-13       Impact factor: 91.245

8.  ANGPTL3 Deficiency and Protection Against Coronary Artery Disease.

Authors:  Nathan O Stitziel; Amit V Khera; Xiao Wang; Andrew J Bierhals; A Christina Vourakis; Alexandra E Sperry; Pradeep Natarajan; Derek Klarin; Connor A Emdin; Seyedeh M Zekavat; Akihiro Nomura; Jeanette Erdmann; Heribert Schunkert; Nilesh J Samani; William E Kraus; Svati H Shah; Bing Yu; Eric Boerwinkle; Daniel J Rader; Namrata Gupta; Philippe M Frossard; Asif Rasheed; John Danesh; Eric S Lander; Stacey Gabriel; Danish Saleheen; Kiran Musunuru; Sekar Kathiresan
Journal:  J Am Coll Cardiol       Date:  2017-04-03       Impact factor: 24.094

9.  Common sequence variants associated with coronary artery disease correlate with the extent of coronary atherosclerosis.

Authors:  Eythor Bjornsson; Daniel F Gudbjartsson; Anna Helgadottir; Thorarinn Gudnason; Tomas Gudbjartsson; Kristjan Eyjolfsson; Riyaz S Patel; Nima Ghasemzadeh; Gudmar Thorleifsson; Arshed A Quyyumi; Unnur Thorsteinsdottir; Gudmundur Thorgeirsson; Kari Stefansson
Journal:  Arterioscler Thromb Vasc Biol       Date:  2015-04-16       Impact factor: 8.311

10.  Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations.

Authors:  Amit V Khera; Mark Chaffin; Krishna G Aragam; Mary E Haas; Carolina Roselli; Seung Hoan Choi; Pradeep Natarajan; Eric S Lander; Steven A Lubitz; Patrick T Ellinor; Sekar Kathiresan
Journal:  Nat Genet       Date:  2018-08-13       Impact factor: 38.330

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Review 2.  Polygenic Risk Scores to Identify CVD Risk and Tailor Therapy: Hope or Hype?

Authors:  Charles A German; Michael D Shapiro
Journal:  Curr Atheroscler Rep       Date:  2021-06-28       Impact factor: 5.113

Review 3.  Clinical utility of polygenic risk scores for coronary artery disease.

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4.  Polygenic risk score validation using Korean genomes of 265 early-onset acute myocardial infarction patients and 636 healthy controls.

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Journal:  PLoS One       Date:  2021-02-04       Impact factor: 3.240

Review 5.  The Molecular Basis of Predicting Atherosclerotic Cardiovascular Disease Risk.

Authors:  Matthew Nayor; Kemar J Brown; Ramachandran S Vasan
Journal:  Circ Res       Date:  2021-01-21       Impact factor: 17.367

6.  Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis.

Authors:  Marijana Vujkovic; Jacob M Keaton; Kyong-Mi Chang; Benjamin F Voight; Danish Saleheen; Julie A Lynch; Donald R Miller; Jin Zhou; Catherine Tcheandjieu; Jennifer E Huffman; Themistocles L Assimes; Kimberly Lorenz; Xiang Zhu; Austin T Hilliard; Renae L Judy; Jie Huang; Kyung M Lee; Derek Klarin; Saiju Pyarajan; John Danesh; Olle Melander; Asif Rasheed; Nadeem H Mallick; Shahid Hameed; Irshad H Qureshi; Muhammad Naeem Afzal; Uzma Malik; Anjum Jalal; Shahid Abbas; Xin Sheng; Long Gao; Klaus H Kaestner; Katalin Susztak; Yan V Sun; Scott L DuVall; Kelly Cho; Jennifer S Lee; J Michael Gaziano; Lawrence S Phillips; James B Meigs; Peter D Reaven; Peter W Wilson; Todd L Edwards; Daniel J Rader; Scott M Damrauer; Christopher J O'Donnell; Philip S Tsao
Journal:  Nat Genet       Date:  2020-06-15       Impact factor: 38.330

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