Literature DB >> 29874178

Polygenic Contribution in Individuals With Early-Onset Coronary Artery Disease.

Sébastien Thériault1, Ricky Lali1, Michael Chong1, James L Velianou1, Madhu K Natarajan1, Guillaume Paré2.   

Abstract

BACKGROUND: Despite evidence of high heritability, monogenic disorders are identified in a minor fraction of individuals with early-onset coronary artery disease (EOCAD). We hypothesized that some individuals with EOCAD carry a high number of common genetic risk variants, with a combined effect similar to Mendelian forms of coronary artery disease, such as familial hypercholesterolemia. METHODS AND
RESULTS: To confirm the polygenic contribution to EOCAD (age of ≤40 years for men and ≤45 years for women), we calculated in 111 418 British participants from the UK Biobank cohort a genetic risk score (GRS) based on the presence of 182 independent variants associated with coronary artery disease (GRS182). Participants with a diagnosis of EOCAD who underwent a revascularization procedure (n=96) had a significantly higher GRS182 (P=3.21×10-9) than those without EOCAD. An increase of 1 SD in GRS182 corresponded to an odds ratio of 1.84 (1.52-2.24) for EOCAD. The prevalence of a polygenic contribution that increased EOCAD risk similar to what is observed in heterozygous familial hypercholesterolemia was estimated at 1 in 53. In a local cohort of individuals with EOCAD (n=30), GRS182 was significantly increased compared with UK Biobank controls (P=0.001). Seven participants (23%) had a GRS182 corresponding to an estimated 2-fold increase in EOCAD risk; none had a rare mutation involved in monogenic dyslipidemia or EOCAD.
CONCLUSIONS: These results suggest a significant polygenic contribution in individuals presenting with EOCAD, which could be more prevalent than familial hypercholesterolemia. Determination of the polygenic risk component could be included in the diagnostic workup of patients with EOCAD.
© 2018 American Heart Association, Inc.

Entities:  

Keywords:  coronary artery disease; genetics; molecular epidemiology; risk assessment; risk factors

Mesh:

Year:  2018        PMID: 29874178     DOI: 10.1161/CIRCGEN.117.001849

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


  12 in total

Review 1.  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

2.  Risk Factors for Premature Myocardial Infarction: A Systematic Review and Meta-analysis of 77 Studies.

Authors:  Sagar B Dugani; Yousif M Hydoub; Ana Patricia Ayala; Roger Reka; Tarek Nayfeh; Jingyi Francess Ding; Shannon N McCafferty; Muayad Alzuabi; Medhat Farwati; M Hassan Murad; Alawi A Alsheikh-Ali; Samia Mora
Journal:  Mayo Clin Proc Innov Qual Outcomes       Date:  2021-06-23

3.  Polygenic Risk Scoring for Coronary Heart Disease: The First Risk Factor.

Authors:  Pradeep Natarajan
Journal:  J Am Coll Cardiol       Date:  2018-10-16       Impact factor: 24.094

Review 4.  Benefits and limitations of genome-wide association studies.

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5.  Development of a polygenic risk score to improve screening for fracture risk: A genetic risk prediction study.

Authors:  Vincenzo Forgetta; Julyan Keller-Baruch; Marie Forest; Audrey Durand; Sahir Bhatnagar; John P Kemp; Maria Nethander; Daniel Evans; John A Morris; Douglas P Kiel; Fernando Rivadeneira; Helena Johansson; Nicholas C Harvey; Dan Mellström; Magnus Karlsson; Cyrus Cooper; David M Evans; Robert Clarke; John A Kanis; Eric Orwoll; Eugene V McCloskey; Claes Ohlsson; Joelle Pineau; William D Leslie; Celia M T Greenwood; J Brent Richards
Journal:  PLoS Med       Date:  2020-07-02       Impact factor: 11.069

6.  Atrial fibrillation genetic risk differentiates cardioembolic stroke from other stroke subtypes.

Authors:  Sara L Pulit; Lu-Chen Weng; Patrick F McArdle; Ludovic Trinquart; Seung Hoan Choi; Braxton D Mitchell; Jonathan Rosand; Paul I W de Bakker; Emelia J Benjamin; Patrick T Ellinor; Steven J Kittner; Steven A Lubitz; Christopher D Anderson
Journal:  Neurol Genet       Date:  2018-12-03

7.  Genetic risk score associations for myocardial infarction are comparable in persons with and without rheumatoid arthritis: the population-based HUNT study.

Authors:  S Rostami; M Hoff; H Dalen; K Hveem; V Videm
Journal:  Sci Rep       Date:  2020-11-24       Impact factor: 4.379

Review 8.  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

9.  The Medical Genome Reference Bank contains whole genome and phenotype data of 2570 healthy elderly.

Authors:  Mark Pinese; Paul Lacaze; Emma M Rath; Andrew Stone; Marie-Jo Brion; Adam Ameur; Sini Nagpal; Clare Puttick; Shane Husson; Dmitry Degrave; Tina Navin Cristina; Vivian F S Kahl; Aaron L Statham; Robyn L Woods; John J McNeil; Moeen Riaz; Margo Barr; Mark R Nelson; Christopher M Reid; Anne M Murray; Raj C Shah; Rory Wolfe; Joshua R Atkins; Chantel Fitzsimmons; Heath M Cairns; Melissa J Green; Vaughan J Carr; Mark J Cowley; Hilda A Pickett; Paul A James; Joseph E Powell; Warren Kaplan; Greg Gibson; Ulf Gyllensten; Murray J Cairns; Martin McNamara; Marcel E Dinger; David M Thomas
Journal:  Nat Commun       Date:  2020-01-23       Impact factor: 14.919

Review 10.  Challenges and Opportunities for the Prevention and Treatment of Cardiovascular Disease Among Young Adults: Report From a National Heart, Lung, and Blood Institute Working Group.

Authors:  Holly C Gooding; Samuel S Gidding; Andrew E Moran; Nicole Redmond; Norrina B Allen; Fida Bacha; Trudy L Burns; Janet M Catov; Michael A Grandner; Kathleen Mullan Harris; Heather M Johnson; Michaela Kiernan; Tené T Lewis; Karen A Matthews; Maureen Monaghan; Jennifer G Robinson; Deborah Tate; Kirsten Bibbins-Domingo; Bonnie Spring
Journal:  J Am Heart Assoc       Date:  2020-09-30       Impact factor: 5.501

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